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Tom Weidong Cai
Person information
- affiliation: University of Sydney, Australia
Other persons with the same name
- Weidong Cai 0002 — Stanford University, School of Medicine, USA
- Weidong Cai 0003 — Beijing University of Chemical Technology, College of Mechanical and Electrical Engineering, China
- Weidong Cai 0004 — Chicago University, Department of Radiology, IL, USA
- Weidong Cai 0005 — Hewlett-Packard, Open System Software Division, Cupertino, CA, USA
- Weidong Cai 0006 — University of California San Diego, Department of Psychology, CA, USA
- Weidong Cai 0007 — Nanjing University of Information Science and Technology, School of Computer and Software, China
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2020 – today
- 2024
- [j74]Lei Bai, Dongang Wang, Hengrui Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Geng Zhan, Wanli Ouyang, Chenyu Wang:
Improving multiple sclerosis lesion segmentation across clinical sites: A federated learning approach with noise-resilient training. Artif. Intell. Medicine 152: 102872 (2024) - [j73]Jianan Fan, Dongnan Liu, Hang Chang, Tom Weidong Cai:
Learning to Generalize over Subpartitions for Heterogeneity-Aware Domain Adaptive Nuclei Segmentation. Int. J. Comput. Vis. 132(8): 2861-2884 (2024) - [j72]Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. Medical Image Anal. 94: 103120 (2024) - [j71]Sunpreet Sharma, Ju Jia Zou, Gu Fang, Pancham Shukla, Weidong Cai:
A review of image watermarking for identity protection and verification. Multim. Tools Appl. 83(11): 31829-31891 (2024) - [j70]Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Tom Weidong Cai, Zongwei Zhou:
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6070-6081 (2024) - [c185]Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Tom Weidong Cai, Wayne Wu:
PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation. AAAI 2024: 6800-6807 - [c184]Heng Wang, Jianbo Ma, Santiago Pascual, Richard Cartwright, Weidong Cai:
V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models. AAAI 2024: 15492-15501 - [c183]Chaoyi Zhang, Xitong Yang, Ji Hou, Kris Kitani, Weidong Cai, Fu-Jen Chu:
EgoSG: Learning 3D Scene Graphs from Egocentric RGB-D Sequences. CVPR Workshops 2024: 2535-2545 - [c182]Tiancheng Gu, Kaicheng Yang, Dongnan Liu, Weidong Cai:
LaPA: Latent Prompt Assist Model for Medical Visual Question Answering. CVPR Workshops 2024: 4971-4980 - [c181]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CVPR 2024: 11524-11534 - [c180]Shangqian Gao, Junyi Li, Zeyu Zhang, Yanfu Zhang, Weidong Cai, Heng Huang:
Device-Wise Federated Network Pruning. CVPR 2024: 12342-12352 - [c179]Runkai Zhao, Yuwen Heng, Heng Wang, Yuanda Gao, Shilei Liu, Changhao Yao, Jiawen Chen, Weidong Cai:
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development. ICRA 2024: 5382-5388 - [c178]Veena Dodballapur, Dongnan Liu, Yang Song, Weidong Cai:
Cross-Domain Exemplars for Cell Counting. ISBI 2024: 1-5 - [c177]Yaxuan Song, Jianan Fan, Dongnan Liu, Weidong Cai:
Multi-Source-Free Domain Adaptation via Uncertainty-Aware Adaptive Distillation. ISBI 2024: 1-5 - [c176]Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
SAT-Morph: Unsupervised Deformable Medical Image Registration Using Vision Foundation Models with Anatomically Aware Text Prompt. MedAGI@MICCAI 2024: 71-80 - [c175]Weijia Zhang, Dongnan Liu, Chao Ma, Tom Weidong Cai:
Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection. WACV 2024: 7527-7537 - [c174]Tiancheng Gu, Dongnan Liu, Zhiyuan Li, Weidong Cai:
Complex Organ Mask Guided Radiology Report Generation. WACV 2024: 7980-7989 - [i85]Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
A Deep Network for Explainable Prediction of Non-Imaging Phenotypes using Anatomical Multi-View Data. CoRR abs/2401.04579 (2024) - [i84]Jianan Fan, Dongnan Liu, Hang Chang, Weidong Cai:
Learning to Generalize over Subpartitions for Heterogeneity-aware Domain Adaptive Nuclei Segmentation. CoRR abs/2401.09496 (2024) - [i83]Yaxuan Song, Jianan Fan, Dongnan Liu, Weidong Cai:
Multi-source-free Domain Adaptation via Uncertainty-aware Adaptive Distillation. CoRR abs/2402.06213 (2024) - [i82]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling. CoRR abs/2403.01053 (2024) - [i81]Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou:
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images. CoRR abs/2403.08689 (2024) - [i80]Yui Lo, Yuqian Chen, Dongnan Liu, Wan Liu, Leo R. Zekelman, Fan Zhang, Yogesh Rathi, Nikos Makris, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell:
Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. CoRR abs/2403.19001 (2024) - [i79]Dongang Wang, Peilin Liu, Hengrui Wang, Heidi Beadnall, Kain Kyle, Linda Ly, Mariano Cabezas, Geng Zhan, Ryan Sullivan, Tom Weidong Cai, Wanli Ouyang, Fernando Calamante, Michael Barnett, Chenyu Wang:
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks. CoRR abs/2404.03451 (2024) - [i78]Tiancheng Gu, Kaicheng Yang, Dongnan Liu, Tom Weidong Cai:
LaPA: Latent Prompt Assist Model For Medical Visual Question Answering. CoRR abs/2404.13039 (2024) - [i77]Yik San Cheng, Runkai Zhao, Heng Wang, Hanchuan Peng, Weidong Cai:
Boosting 3D Neuron Segmentation with 2D Vision Transformer Pre-trained on Natural Images. CoRR abs/2405.02686 (2024) - [i76]Xuanchen Wang, Heng Wang, Dongnan Liu, Weidong Cai:
Dance Any Beat: Blending Beats with Visuals in Dance Video Generation. CoRR abs/2405.09266 (2024) - [i75]Tiancheng Gu, Kaicheng Yang, Xiang An, Ziyong Feng, Dongnan Liu, Weidong Cai, Jiankang Deng:
RWKV-CLIP: A Robust Vision-Language Representation Learner. CoRR abs/2406.06973 (2024) - [i74]Yuqian Chen, Fan Zhang, Meng Wang, Leo R. Zekelman, Suheyla Cetin Karayumak, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Classification from Diffusion MRI Tractography. CoRR abs/2407.08883 (2024) - [i73]Yang Ma, Dongang Wang, Peilin Liu, Lynette Masters, Michael Barnett, Tom Weidong Cai, Chenyu Wang:
Symmetry Awareness Encoded Deep Learning Framework for Brain Imaging Analysis. CoRR abs/2407.08948 (2024) - [i72]Dingxin Zhang, Jianhui Yu, Tengfei Xue, Chaoyi Zhang, Dongnan Liu, Tom Weidong Cai:
Enhancing Robustness to Noise Corruption for Point Cloud Model via Spatial Sorting and Set-Mixing Aggregation Module. CoRR abs/2407.10806 (2024) - [i71]Shunqi Mao, Chaoyi Zhang, Hang Su, Hwanjun Song, Igor Shalyminov, Weidong Cai:
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights. CoRR abs/2407.11449 (2024) - [i70]Jianan Fan, Dongnan Liu, Canran Li, Hang Chang, Heng Huang, Filip Braet, Mei Chen, Weidong Cai:
Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View. CoRR abs/2407.12870 (2024) - [i69]Yui Lo, Yuqian Chen, Fan Zhang, Dongnan Liu, Leo R. Zekelman, Suheyla Cetin Karayumak, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging. CoRR abs/2407.19460 (2024) - [i68]Zhiyuan Li, Heng Wang, Dongnan Liu, Chaoyi Zhang, Ao Ma, Jieting Long, Tom Weidong Cai:
Multimodal Causal Reasoning Benchmark: Challenging Vision Large Language Models to Infer Causal Links Between Siamese Images. CoRR abs/2408.08105 (2024) - [i67]Kaicheng Yang, Tiancheng Gu, Xiang An, Haiqiang Jiang, Xiangzi Dai, Ziyong Feng, Tom Weidong Cai, Jiankang Deng:
CLIP-CID: Efficient CLIP Distillation via Cluster-Instance Discrimination. CoRR abs/2408.09441 (2024) - [i66]Mingyu Sheng, Jianan Fan, Dongnan Liu, Ron Kikinis, Weidong Cai:
Revisiting Surgical Instrument Segmentation Without Human Intervention: A Graph Partitioning View. CoRR abs/2408.14789 (2024) - [i65]Sheng Chen, Zihao Tang, Mariano Cabezas, Xinyi Wang, Arkiev D'Souza, Michael Barnett, Fernando Calamante, Weidong Cai, Chenyu Wang:
Enhancing Angular Resolution via Directionality Encoding and Geometric Constraints in Brain Diffusion Tensor Imaging. CoRR abs/2409.07186 (2024) - [i64]Zhiyuan Li, Dongnan Liu, Chaoyi Zhang, Heng Wang, Tengfei Xue, Tom Weidong Cai:
Enhancing Advanced Visual Reasoning Ability of Large Language Models. CoRR abs/2409.13980 (2024) - [i63]Sheng Chen, Zihao Tang, Xinyi Wang, Chenyu Wang, Tom Weidong Cai:
Unsupervised dMRI Artifact Detection via Angular Resolution Enhancement and Cycle Consistency Learning. CoRR abs/2409.15883 (2024) - 2023
- [j69]Haozhe Jia, Haoteng Tang, Guixiang Ma, Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images. Comput. Biol. Medicine 155: 106698 (2023) - [j68]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Superficial white matter analysis: An efficient point-cloud-based deep learning framework with supervised contrastive learning for consistent tractography parcellation across populations and dMRI acquisitions. Medical Image Anal. 85: 102759 (2023) - [j67]Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation. NeuroImage 273: 120086 (2023) - [j66]Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Tom Weidong Cai:
Decompose to Adapt: Cross-Domain Object Detection Via Feature Disentanglement. IEEE Trans. Multim. 25: 1333-1344 (2023) - [j65]Qiang Qu, Xiaoming Chen, Yuk Ying Chung, Weidong Cai:
LFACon: Introducing Anglewise Attention to No-Reference Quality Assessment in Light Field Space. IEEE Trans. Vis. Comput. Graph. 29(5): 2239-2248 (2023) - [j64]Zhicheng Lu, Xiaoming Chen, Vera Yuk Ying Chung, Weidong Cai, Yiran Shen:
EV-LFV: Synthesizing Light Field Event Streams from an Event Camera and Multiple RGB Cameras. IEEE Trans. Vis. Comput. Graph. 29(11): 4546-4555 (2023) - [c173]Jianhui Yu, Chaoyi Zhang, Weidong Cai:
Rethinking Rotation Invariance with Point Cloud Registration. AAAI 2023: 3313-3321 - [c172]Dingxin Zhang, Jianhui Yu, Chaoyi Zhang, Weidong Cai:
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration. AAAI 2023: 3418-3426 - [c171]Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Weidong Cai, Wayne Wu:
CelebV-Text: A Large-Scale Facial Text-Video Dataset. CVPR 2023: 14805-14814 - [c170]Tiange Xiang, Yixiao Zhang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou:
SQUID: Deep Feature In-Painting for Unsupervised Anomaly Detection. CVPR 2023: 23890-23901 - [c169]Yixiong Shi, Chenyu Wang, Dongnan Liu, Weidong Cai, Mariano Cabezas:
Understanding the Role of Saliency Maps for Biomarker Research in 3D Medical Imaging Classification. DICTA 2023: 41-48 - [c168]Zhiyuan Li, Dongnan Liu, Weidong Cai:
Multi-modal Domain Adaptation for Text Visual Question Answering Tasks. DICTA 2023: 371-378 - [c167]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai:
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. ICCV 2023: 21117-21127 - [c166]Yuxiang An, Dongnan Liu, Weidong Cai:
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features. ICME 2023: 948-953 - [c165]Zhuonan Liang, Dongnan Liu, Yuqing Yang, Caiyun Sun, Weidong Cai, Peng Fu:
ASRCD: Adaptive Serial Relation-Based Model for Cognitive Diagnosis. ICONIP (14) 2023: 535-551 - [c164]Sheng Chen, Zihao Tang, Dongnan Liu, Ché Fornusek, Michael Barnett, Chenyu Wang, Mariano Cabezas, Weidong Cai:
Precise Few-Shot Fat-Free Thigh Muscle Segmentation in T1-Weighted MRI. ISBI 2023: 1-5 - [c163]Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography. ISBI 2023: 1-5 - [c162]Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
A Registration- and Uncertainty-Based Framework for White Matter Tract Segmentation with Only One Annotated Subject. ISBI 2023: 1-5 - [c161]Tengfei Xue, Hazhar Sufi Karimi, William Consagra, Fan Zhang, Weidong Cai, Lauren J. O'Donnell, Lipeng Ning, Yogesh Rathi:
A Deep Learning Framework for Estimating Multi-Fiber PICASO Model Parameters of Tissue Microstructure Using Diffusion MRI. ISBI 2023: 1-5 - [c160]Xinwen Zhang, Chaoyi Zhang, Dongnan Liu, Qianbi Yu, Weidong Cai:
SynthMix: Mixing Up Aligned Synthesis for Medical Cross-Modality Domain Adaptation. ISBI 2023: 1-5 - [c159]Yuxiang Wei, Yuqian Chen, Tengfei Xue, Leo R. Zekelman, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data. CDMRI@MICCAI 2023: 165-176 - [c158]Ziqiao Weng, Jiancheng Yang, Dongnan Liu, Tom Weidong Cai:
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. MICCAI (7) 2023: 382-392 - [c157]Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation. MICCAI (8) 2023: 409-419 - [c156]Runkai Zhao, Heng Wang, Chaoyi Zhang, Weidong Cai:
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds. WACV 2023: 5776-5786 - [i62]Jianhui Yu, Chaoyi Zhang, Tom Weidong Cai:
Rethinking Rotation Invariance with Point Cloud Registration. CoRR abs/2301.00149 (2023) - [i61]Yuqian Chen, Fan Zhang, Leo R. Zekelman, Tengfei Xue, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Lauren J. O'Donnell:
TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography. CoRR abs/2301.01911 (2023) - [i60]Dingxin Zhang, Jianhui Yu, Chaoyi Zhang, Weidong Cai:
PaRot: Patch-Wise Rotation-Invariant Network via Feature Disentanglement and Pose Restoration. CoRR abs/2302.02535 (2023) - [i59]Wan Liu, Yuqian Chen, Chuyang Ye, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes. CoRR abs/2303.09124 (2023) - [i58]Qiang Qu, Xiaoming Chen, Yuk Ying Chung, Weidong Cai:
LFACon: Introducing Anglewise Attention to No-Reference Quality Assessment in Light Field Space. CoRR abs/2303.10961 (2023) - [i57]Hao Xu, Tengfei Xue, Dongnan Liu, Fan Zhang, Carl-Fredrik Westin, Ron Kikinis, Lauren J. O'Donnell, Weidong Cai:
A Registration- and Uncertainty-based Framework for White Matter Tract Segmentation With Only One Annotated Subject. CoRR abs/2303.14371 (2023) - [i56]Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Weidong Cai, Wayne Wu:
CelebV-Text: A Large-Scale Facial Text-Video Dataset. CoRR abs/2303.14717 (2023) - [i55]Sheng Chen, Zihao Tang, Dongnan Liu, Ché Fornusek, Michael Barnett, Chenyu Wang, Mariano Cabezas, Weidong Cai:
Precise Few-shot Fat-free Thigh Muscle Segmentation in T1-weighted MRI. CoRR abs/2304.14053 (2023) - [i54]Yuxiang An, Dongnan Liu, Weidong Cai:
Unsupervised Domain Adaptation for Neuron Membrane Segmentation based on Structural Features. CoRR abs/2305.02569 (2023) - [i53]Xinwen Zhang, Chaoyi Zhang, Dongnan Liu, Qianbi Yu, Tom Weidong Cai:
SynthMix: Mixing up Aligned Synthesis for Medical Cross-Modality Domain Adaptation. CoRR abs/2305.04156 (2023) - [i52]Ziqiao Weng, Jiancheng Yang, Dongnan Liu, Tom Weidong Cai:
Topology Repairing of Disconnected Pulmonary Airways and Vessels: Baselines and a Dataset. CoRR abs/2306.07089 (2023) - [i51]Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. CoRR abs/2307.03982 (2023) - [i50]Tengfei Xue, Yuqian Chen, Chaoyi Zhang, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation. CoRR abs/2307.09000 (2023) - [i49]Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Tom Weidong Cai:
Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. CoRR abs/2307.14709 (2023) - [i48]Zhiyuan Li, Dongnan Liu, Heng Wang, Chaoyi Zhang, Weidong Cai:
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence Generation. CoRR abs/2307.14750 (2023) - [i47]Heng Wang, Jianbo Ma, Santiago Pascual, Richard Cartwright, Weidong Cai:
V2A-Mapper: A Lightweight Solution for Vision-to-Audio Generation by Connecting Foundation Models. CoRR abs/2308.09300 (2023) - [i46]Lei Bai, Dongang Wang, Michael Barnett, Mariano Cabezas, Weidong Cai, Fernando Calamante, Kain Kyle, Dongnan Liu, Linda Ly, Aria Nguyen, Chun-Chien Shieh, Ryan Sullivan, Hengrui Wang, Geng Zhan, Wanli Ouyang, Chenyu Wang:
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training. CoRR abs/2308.16376 (2023) - [i45]Runkai Zhao, Yuwen Heng, Yuanda Gao, Shilei Liu, Heng Wang, Changhao Yao, Jiawen Chen, Weidong Cai:
Advancements in 3D Lane Detection Using LiDAR Point Clouds: From Data Collection to Model Development. CoRR abs/2309.13596 (2023) - [i44]Jianhui Yu, Hao Zhu, Liming Jiang, Chen Change Loy, Weidong Cai, Wayne Wu:
PaintHuman: Towards High-fidelity Text-to-3D Human Texturing via Denoised Score Distillation. CoRR abs/2310.09458 (2023) - [i43]Weijia Zhang, Dongnan Liu, Chao Ma, Weidong Cai:
ODM3D: Alleviating Foreground Sparsity for Enhanced Semi-Supervised Monocular 3D Object Detection. CoRR abs/2310.18620 (2023) - [i42]Tiancheng Gu, Dongnan Liu, Zhiyuan Li, Weidong Cai:
Complex Organ Mask Guided Radiology Report Generation. CoRR abs/2311.02329 (2023) - 2022
- [j63]Henry Wing Fung Yeung, Meng Zhou, Yuk Ying Chung, Grant Moule, Wayne Thompson, Wanli Ouyang, Weidong Cai, Mohammed Bennamoun:
Deep-learning-based solution for data deficient satellite image segmentation. Expert Syst. Appl. 191: 116210 (2022) - [j62]Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai:
Towards bi-directional skip connections in encoder-decoder architectures and beyond. Medical Image Anal. 78: 102420 (2022) - [j61]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
Learning multi-scale synergic discriminative features for prostate image segmentation. Pattern Recognit. 126: 108556 (2022) - [j60]Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Weidong Cai, Michael Barnett, Chenyu Wang:
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications. IEEE J. Biomed. Health Informatics 26(6): 2680-2692 (2022) - [j59]Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai:
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. IEEE Trans. Medical Imaging 41(8): 2180-2190 (2022) - [c155]Qianbi Yu, Dongnan Liu, Chaoyi Zhang, Xinwen Zhang, Weidong Cai:
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data. BMVC 2022: 237 - [c154]Shek Wai Chu, Chaoyi Zhang, Yang Song, Weidong Cai:
Channel-Position Self-Attention with Query Refinement Skeleton Graph Neural Network in Human Pose Estimation. ICIP 2022: 971-975 - [c153]Heng Wang, Chaoyi Zhang, Jianhui Yu, Weidong Cai:
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds. IJCAI 2022: 1393-1400 - [c152]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. ISBI 2022: 1-5 - [c151]Zihao Tang, Xinyi Wang, Mariano Cabezas, Arkiev D'Souza, Fernando Calamante, Dongnan Liu, Michael Barnett, Chenyu Wang, Tom Weidong Cai:
Diffusion MRI Fibre Orientation Distribution Inpainting. CDMRI@MICCAI 2022: 65-76 - [c150]Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Weidong Cai, Lauren J. O'Donnell:
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. MICCAI (1) 2022: 174-184 - [c149]Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell:
TractoFormer: A Novel Fiber-Level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. MICCAI (1) 2022: 196-206 - [c148]Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai:
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-Aware Feature Alignment and Pseudo-Labelling. MICCAI (8) 2022: 715-724 - [i41]Dongnan Liu, Chaoyi Zhang, Yang Song, Heng Huang, Chenyu Wang, Michael Barnett, Weidong Cai:
Decompose to Adapt: Cross-domain Object Detection via Feature Disentanglement. CoRR abs/2201.01929 (2022) - [i40]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning. CoRR abs/2201.12528 (2022) - [i39]Haozhe Jia, Chao Bai, Tom Weidong Cai, Heng Huang, Yong Xia:
HNF-Netv2 for Brain Tumor Segmentation using multi-modal MR Imaging. CoRR abs/2202.05268 (2022) - [i38]Tiange Xiang, Chaoyi Zhang, Xinyi Wang, Yang Song, Dongnan Liu, Heng Huang, Tom Weidong Cai:
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond. CoRR abs/2203.05709 (2022) - [i37]Heng Wang, Chaoyi Zhang, Jianhui Yu, Tom Weidong Cai:
Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds. CoRR abs/2204.10688 (2022) - [i36]Yuqian Chen, Chaoyi Zhang, Tengfei Xue, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation. CoRR abs/2205.00627 (2022) - [i35]Dongnan Liu, Mariano Cabezas, Dongang Wang, Zihao Tang, Lei Bai, Geng Zhan, Yuling Luo, Kain Kyle, Linda Ly, James Yu, Chun-Chien Shieh, Aria Nguyen, Ettikan Kandasamy Karuppiah, Ryan Sullivan, Fernando Calamante, Michael Barnett, Wanli Ouyang, Weidong Cai, Chenyu Wang:
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning. CoRR abs/2205.01509 (2022) - [i34]Shunqi Mao, Chaoyi Zhang, Heng Wang, Weidong Cai:
Towards Generalisable Audio Representations for Audio-Visual Navigation. CoRR abs/2206.00393 (2022) - [i33]Canran Li, Dongnan Liu, Haoran Li, Zheng Zhang, Guangming Lu, Xiaojun Chang, Weidong Cai:
Domain Adaptive Nuclei Instance Segmentation and Classification via Category-aware Feature Alignment and Pseudo-labelling. CoRR abs/2207.01233 (2022) - [i32]Fan Zhang, Tengfei Xue, Weidong Cai, Yogesh Rathi, Carl-Fredrik Westin, Lauren J. O'Donnell:
TractoFormer: A Novel Fiber-level Whole Brain Tractography Analysis Framework Using Spectral Embedding and Vision Transformers. CoRR abs/2207.02327 (2022) - [i31]Yuqian Chen, Fan Zhang, Chaoyi Zhang, Tengfei Xue, Leo R. Zekelman, Jianzhong He, Yang Song, Nikos Makris, Yogesh Rathi, Alexandra J. Golby, Tom Weidong Cai, Lauren J. O'Donnell:
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. CoRR abs/2207.02402 (2022) - [i30]Tengfei Xue, Fan Zhang, Chaoyi Zhang, Yuqian Chen, Yang Song, Alexandra J. Golby, Nikos Makris, Yogesh Rathi, Weidong Cai, Lauren J. O'Donnell:
Superficial White Matter Analysis: An Efficient Point-cloud-based Deep Learning Framework with Supervised Contrastive Learning for Consistent Tractography Parcellation across Populations and dMRI Acquisitions. CoRR abs/2207.08975 (2022) - [i29]Qianbi Yu, Dongnan Liu, Chaoyi Zhang, Xinwen Zhang, Weidong Cai:
Unsupervised Domain Adaptive Fundus Image Segmentation with Few Labeled Source Data. CoRR abs/2210.04379 (2022) - [i28]Tengfei Xue, Fan Zhang, Leo R. Zekelman, Chaoyi Zhang, Yuqian Chen, Suheyla Cetin Karayumak, Steven D. Pieper, William M. Wells III, Yogesh Rathi, Nikos Makris, Weidong Cai, Lauren J. O'Donnell:
A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography. CoRR abs/2210.07411 (2022) - [i27]Runkai Zhao, Heng Wang, Chaoyi Zhang, Weidong Cai:
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds. CoRR abs/2210.08305 (2022) - [i26]Zihao Tang, Xinyi Wang, Lihaowen Zhu, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang:
TW-BAG: Tensor-wise Brain-aware Gate Network for Inpainting Disrupted Diffusion Tensor Imaging. CoRR abs/2210.17076 (2022) - 2021
- [j58]Hong Yan, Xuanyu Mao, Xu Yang, Yongquan Xia, Chengbin Wang, Junjun Wang, Rui Xia, Xuejing Xu, Zhiqiang Wang, Zhiyang Li, Xie Zhao, Yan Li, Guoye Liu, Li He, Zhongyu Wang, Zhiqiong Wang, Zhiqiang Li, Weidong Cai, Han Shen, Hang Chang:
Development and Validation of an Unsupervised Feature Learning System for Leukocyte Characterization and Classification: A Multi-Hospital Study. Int. J. Comput. Vis. 129(6): 1837-1856 (2021) - [j57]Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai:
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images. IEEE Trans. Image Process. 30: 2045-2059 (2021) - [j56]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
PDAM: A Panoptic-Level Feature Alignment Framework for Unsupervised Domain Adaptive Instance Segmentation in Microscopy Images. IEEE Trans. Medical Imaging 40(1): 154-165 (2021) - [c147]Haozhe Jia, Chao Bai, Weidong Cai, Heng Huang, Yong Xia:
HNF-Netv2 for Brain Tumor Segmentation Using Multi-modal MR Imaging. BrainLes@MICCAI (2) 2021: 106-115 - [c146]Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang:
Network Pruning via Performance Maximization. CVPR 2021: 9270-9280 - [c145]Chaoyi Zhang, Jianhui Yu, Yang Song, Weidong Cai:
Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis. CVPR 2021: 9705-9715 - [c144]Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai:
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis. ICCV 2021: 895-904 - [c143]Shek Wai Chu, Chaoyi Zhang, Yang Song, Tom Weidong Cai:
Iterative Subnetwork With Linear Hierarchical Ordering for Human Pose Estimation. ICIP 2021: 514-518 - [c142]Jianhui Yu, Chaoyi Zhang, Yang Song, Weidong Cai:
ICE-GAN: Identity-Aware and Capsule-Enhanced GAN with Graph-Based Reasoning for Micro-Expression Recognition and Synthesis. IJCNN 2021: 1-8 - [c141]Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Wojciech Chrzanowski, Weidong Cai:
Celltrack R-CNN: A Novel End-To-End Deep Neural Network For Cell Segmentation And Tracking In Microscopy Images. ISBI 2021: 779-782 - [c140]Heng Wang, Yang Song, Chaoyi Zhang, Jianhui Yu, Siqi Liu, Hanchuan Peng, Tom Weidong Cai:
Single Neuron Segmentation Using Graph-Based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images. ISBI 2021: 934-938 - [c139]Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai:
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. MICCAI (1) 2021: 229-238 - [c138]Heng Wang, Chaoyi Zhang, Jianhui Yu, Yang Song, Siqi Liu, Wojciech Chrzanowski, Weidong Cai:
Voxel-Wise Cross-Volume Representation Learning for 3D Neuron Reconstruction. MLMI@MICCAI 2021: 248-257 - [c137]Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. MICCAI (7) 2021: 497-507 - [c136]Zihao Tang, Mariano Cabezas, Dongnan Liu, Michael Barnett, Weidong Cai, Chenyu Wang:
LG-Net: Lesion Gate Network for Multiple Sclerosis Lesion Inpainting. MICCAI (7) 2021: 660-669 - [i25]Heng Wang, Yang Song, Chaoyi Zhang, Jianhui Yu, Siqi Liu, Hanchuan Peng, Weidong Cai:
Single Neuron Segmentation using Graph-based Global Reasoning with Auxiliary Skeleton Loss from 3D Optical Microscope Images. CoRR abs/2101.08910 (2021) - [i24]Yuqian Chen, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Wojciech Chrzanowski, Weidong Cai:
CellTrack R-CNN: A Novel End-To-End Deep Neural Network for Cell Segmentation and Tracking in Microscopy Images. CoRR abs/2102.10377 (2021) - [i23]Chaoyi Zhang, Jianhui Yu, Yang Song, Weidong Cai:
Exploiting Edge-Oriented Reasoning for 3D Point-based Scene Graph Analysis. CoRR abs/2103.05558 (2021) - [i22]Yang Ma, Chaoyi Zhang, Mariano Cabezas, Yang Song, Zihao Tang, Dongnan Liu, Tom Weidong Cai, Michael Barnett, Chenyu Wang:
Multiple Sclerosis Lesion Analysis in Brain Magnetic Resonance Images: Techniques and Clinical Applications. CoRR abs/2104.10029 (2021) - [i21]Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai:
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis. CoRR abs/2105.01288 (2021) - [i20]Tiange Xiang, Chaoyi Zhang, Yang Song, Siqi Liu, Hongliang Yuan, Tom Weidong Cai:
Partial Graph Reasoning for Neural Network Regularization. CoRR abs/2106.01805 (2021) - [i19]Xinyi Wang, Tiange Xiang, Chaoyi Zhang, Yang Song, Dongnan Liu, Heng Huang, Weidong Cai:
BiX-NAS: Searching Efficient Bi-directional Architecture for Medical Image Segmentation. CoRR abs/2106.14033 (2021) - [i18]Yuqian Chen, Chaoyi Zhang, Yang Song, Nikos Makris, Yogesh Rathi, Tom Weidong Cai, Fan Zhang, Lauren J. O'Donnell:
Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation. CoRR abs/2107.04938 (2021) - [i17]Haoteng Tang, Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia, Liang Zhan:
Boundary-aware Graph Reasoning for Semantic Segmentation. CoRR abs/2108.03791 (2021) - [i16]Haozhe Jia, Haoteng Tang, Guixiang Ma, Tom Weidong Cai, Heng Huang, Liang Zhan, Yong Xia:
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images. CoRR abs/2108.03809 (2021) - [i15]Heng Wang, Chaoyi Zhang, Jianhui Yu, Yang Song, Siqi Liu, Wojciech Chrzanowski, Weidong Cai:
Voxel-wise Cross-Volume Representation Learning for 3D Neuron Reconstruction. CoRR abs/2108.06522 (2021) - [i14]Tiange Xiang, Yang Song, Chaoyi Zhang, Dongnan Liu, Mei Chen, Fan Zhang, Heng Huang, Lauren O'Donnell, Weidong Cai:
DSNet: A Dual-Stream Framework for Weakly-Supervised Gigapixel Pathology Image Analysis. CoRR abs/2109.05788 (2021) - [i13]Tiange Xiang, Yongyi Lu, Alan L. Yuille, Chaoyi Zhang, Weidong Cai, Zongwei Zhou:
In-painting Radiography Images for Unsupervised Anomaly Detection. CoRR abs/2111.13495 (2021) - [i12]Jianhui Yu, Chaoyi Zhang, Heng Wang, Dingxin Zhang, Yang Song, Tiange Xiang, Dongnan Liu, Weidong Cai:
3D Medical Point Transformer: Introducing Convolution to Attention Networks for Medical Point Cloud Analysis. CoRR abs/2112.04863 (2021) - 2020
- [j55]Yi Shi, Zehua Guo, Xianbin Su, Luming Meng, Mingxuan Zhang, Jing Sun, Chao Wu, Minhua Zheng, Xueyin Shang, Xin Zou, Wangqiu Cheng, Yaoliang Yu, Yujia Cai, Chaoyi Zhang, Weidong Cai, Lin-Tai Da, Guang He, Zeguang Han:
DeepAntigen: a novel method for neoantigen prioritization via 3D genome and deep sparse learning. Bioinform. 36(19): 4894-4901 (2020) - [j54]Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai:
NFN+: A novel network followed network for retinal vessel segmentation. Neural Networks 126: 153-162 (2020) - [j53]Haozhe Jia, Yong Xia, Yang Song, Donghao Zhang, Heng Huang, Yanning Zhang, Weidong Cai:
3D APA-Net: 3D Adversarial Pyramid Anisotropic Convolutional Network for Prostate Segmentation in MR Images. IEEE Trans. Medical Imaging 39(2): 447-457 (2020) - [c135]Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai:
Shape-Oriented Convolution Neural Network for Point Cloud Analysis. AAAI 2020: 12773-12780 - [c134]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation Using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. BrainLes@MICCAI (2) 2020: 58-68 - [c133]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting. CVPR 2020: 4242-4251 - [c132]Veena Dodballapur, Yang Song, Heng Huang, Mei Chen, Wojciech Chrzanowski, Tom Weidong Cai:
Dual-Stage Domain Adaptive Mitosis Detection for Histopathology Images. DICTA 2020: 1-7 - [c131]Veena Dodballapur, Rajanish Calisa, Yang Song, Weidong Cai:
Automatic Dropout for Deep Neural Networks. ICONIP (3) 2020: 185-196 - [c130]Zihao Tang, Donghao Zhang, Yang Song, Heng Wang, Dongnan Liu, Chaoyi Zhang, Siqi Liu, Hanchuan Peng, Weidong Cai:
3D Conditional Adversarial Learning for Synthesizing Microscopic Neuron Image Using Skeleton-to-Neuron Translation. ISBI 2020: 1775-1779 - [c129]Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai:
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. MICCAI (1) 2020: 74-84 - [c128]Haozhe Jia, Yong Xia, Weidong Cai, Heng Huang:
Learning High-Resolution and Efficient Non-local Features for Brain Glioma Segmentation in MR Images. MICCAI (4) 2020: 480-490 - [c127]Alireza Ganjdanesh, Kamran Ghasedi, Liang Zhan, Weidong Cai, Heng Huang:
Predicting Potential Propensity of Adolescents to Drugs via New Semi-supervised Deep Ordinal Regression Model. MICCAI (1) 2020: 635-645 - [i11]Dongnan Liu, Donghao Zhang, Yang Song, Heng Huang, Weidong Cai:
Cell R-CNN V3: A Novel Panoptic Paradigm for Instance Segmentation in Biomedical Images. CoRR abs/2002.06345 (2020) - [i10]Donghao Zhang, Siqi Liu, Shikha Chaganti, Eli Gibson, Zhoubing Xu, Sasa Grbic, Weidong Cai, Dorin Comaniciu:
Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images. CoRR abs/2003.07999 (2020) - [i9]Chaoyi Zhang, Yang Song, Lina Yao, Weidong Cai:
Shape-Oriented Convolution Neural Network for Point Cloud Analysis. CoRR abs/2004.09411 (2020) - [i8]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren O'Donnell, Heng Huang, Mei Chen, Weidong Cai:
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-weighting. CoRR abs/2005.02066 (2020) - [i7]Jianhui Yu, Chaoyi Zhang, Yang Song, Weidong Cai:
ICE-GAN: Identity-aware and Capsule-Enhanced GAN for Micro-Expression Recognition and Synthesis. CoRR abs/2005.04370 (2020) - [i6]Tiange Xiang, Chaoyi Zhang, Dongnan Liu, Yang Song, Heng Huang, Weidong Cai:
BiO-Net: Learning Recurrent Bi-directional Connections for Encoder-Decoder Architecture. CoRR abs/2007.00243 (2020) - [i5]Haozhe Jia, Weidong Cai, Heng Huang, Yong Xia:
H2NF-Net for Brain Tumor Segmentation using Multimodal MR Imaging: 2nd Place Solution to BraTS Challenge 2020 Segmentation Task. CoRR abs/2012.15318 (2020)
2010 – 2019
- 2019
- [j52]Mosin Russell, Ju Jia Zou, Gu Fang, Weidong Cai:
Feature-Based Image Patch Classification for Moving Shadow Detection. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2652-2666 (2019) - [j51]Yutong Xie, Yong Xia, Jianpeng Zhang, Yang Song, Dagan Feng, Michael J. Fulham, Weidong Cai:
Knowledge-based Collaborative Deep Learning for Benign-Malignant Lung Nodule Classification on Chest CT. IEEE Trans. Medical Imaging 38(4): 991-1004 (2019) - [c126]Donghao Zhang, Yang Song, Dongnan Liu, Chaoyi Zhang, Yicheng Wu, Heng Wang, Fan Zhang, Yong Xia, Lauren J. O'Donnell, Weidong Cai:
Efficient 3D Depthwise and Separable Convolutions with Dilation for Brain Tumor Segmentation. Australasian Conference on Artificial Intelligence 2019: 563-573 - [c125]Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Heng Huang, Mei Chen, Hanchuan Peng, Weidong Cai:
Multiscale Kernels for Enhanced U-Shaped Network to Improve 3D Neuron Tracing. CVPR Workshops 2019: 1105-1113 - [c124]Shek Wai Chu, Yang Song, Ju Jia Zou, Weidong Cai:
Human Pose Estimation Using Deep Convolutional Densenet Hourglass Network with Intermediate Points Voting. ICIP 2019: 594-598 - [c123]Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Fan Zhang, Lauren O'Donnell, Weidong Cai:
Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion. IJCAI 2019: 861-868 - [c122]Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Yue Wang, Dagan Feng, Hanchuan Peng, Weidong Cai:
Segmenting Neuronal Structure in 3D Optical Microscope Images via Knowledge Distillation with Teacher-Student Network. ISBI 2019: 228-231 - [c121]Veena Dodballapur, Yang Song, Heng Huang, Mei Chen, Wojciech Chrzanowski, Weidong Cai:
Mask-Driven Mitosis Detection In Histopathology Images. ISBI 2019: 1855-1859 - [c120]Haozhe Jia, Yang Song, Heng Huang, Weidong Cai, Yong Xia:
HD-Net: Hybrid Discriminative Network for Prostate Segmentation in MR Images. MICCAI (2) 2019: 110-118 - [c119]Yanfu Zhang, Liang Zhan, Weidong Cai, Paul Thompson, Heng Huang:
Integrating Heterogeneous Brain Networks for Predicting Brain Disease Conditions. MICCAI (4) 2019: 214-222 - [c118]Yicheng Wu, Yong Xia, Yang Song, Donghao Zhang, Dongnan Liu, Chaoyi Zhang, Weidong Cai:
Vessel-Net: Retinal Vessel Segmentation Under Multi-path Supervision. MICCAI (1) 2019: 264-272 - [c117]Mosin Russell, Ju Jia Zou, Gu Fang, Weidong Cai:
Feature-Based Patch Matching for Moving Object Detection. VCIP 2019: 1-4 - [p2]Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Sasa Grbic, Weidong Cai, Dorin Comaniciu:
Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 199-216 - [i4]Heng Wang, Donghao Zhang, Yang Song, Heng Huang, Mei Chen, Weidong Cai:
Region and Object based Panoptic Image Synthesis through Conditional GANs. CoRR abs/1912.06840 (2019) - 2018
- [j50]Haozhe Jia, Yong Xia, Yang Song, Weidong Cai, Michael J. Fulham, David Dagan Feng:
Atlas registration and ensemble deep convolutional neural network-based prostate segmentation using magnetic resonance imaging. Neurocomputing 275: 1358-1369 (2018) - [j49]Fanjie Meng, Dalong Shan, Ruixia Shi, Yang Song, Baolong Guo, Weidong Cai:
Merged region based image retrieval. J. Vis. Commun. Image Represent. 55: 572-585 (2018) - [j48]Yongsheng Pan, Yong Xia, Yang Song, Weidong Cai:
Locality constrained encoding of frequency and spatial information for image classification. Multim. Tools Appl. 77(19): 24891-24907 (2018) - [j47]Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell:
Suprathreshold fiber cluster statistics: Leveraging white matter geometry to enhance tractography statistical analysis. NeuroImage 171: 341-354 (2018) - [j46]Fan Zhang, Peter Savadjiev, Weidong Cai, Yang Song, Yogesh Rathi, Birkan Tunç, Drew Parker, Tina Kapur, Robert T. Schultz, Nikos Makris, Ragini Verma, Lauren J. O'Donnell:
Whole brain white matter connectivity analysis using machine learning: An application to autism. NeuroImage 172: 826-837 (2018) - [j45]Donghao Zhang, Siqi Liu, Yang Song, Dagan Feng, Hanchuan Peng, Weidong Cai:
Automated 3D Soma Segmentation with Morphological Surface Evolution for Neuron Reconstruction. Neuroinformatics 16(2): 153-166 (2018) - [j44]Yuchen Yuan, Changyang Li, Jinman Kim, Weidong Cai, David Dagan Feng:
Dense and Sparse Labeling With Multidimensional Features for Saliency Detection. IEEE Trans. Circuits Syst. Video Technol. 28(5): 1130-1143 (2018) - [j43]Yuchen Yuan, Changyang Li, Jinman Kim, Weidong Cai, David Dagan Feng:
Reversion Correction and Regularized Random Walk Ranking for Saliency Detection. IEEE Trans. Image Process. 27(3): 1311-1322 (2018) - [j42]Afaf Tareef, Yang Song, Heng Huang, Dagan Feng, Mei Chen, Yue Wang, Weidong Cai:
Multi-Pass Fast Watershed for Accurate Segmentation of Overlapping Cervical Cells. IEEE Trans. Medical Imaging 37(9): 2044-2059 (2018) - [j41]Siqi Liu, Donghao Zhang, Yang Song, Hanchuan Peng, Weidong Cai:
Automated 3-D Neuron Tracing With Precise Branch Erasing and Confidence Controlled Back Tracking. IEEE Trans. Medical Imaging 37(11): 2441-2452 (2018) - [c116]Zhaowei Huang, Chen Ding, Lei Zhang, Min-Zhao Lee, Yang Song, Hiran Selvadurai, Dagan Feng, Yanning Zhang, Weidong Cai:
Automated Analysis of Chest Radiographs for Cystic Fibrosis Scoring. BICS 2018: 227-236 - [c115]Dongnan Liu, Donghao Zhang, Yang Song, Chaoyi Zhang, Heng Huang, Mei Chen, Weidong Cai:
Large Kernel Refine Fusion Net for Neuron Membrane Segmentation. CVPR Workshops 2018: 2212-2220 - [c114]Heng Wang, Donghao Zhang, Yang Song, Siqi Liu, Rong Gao, Hanchuan Peng, Weidong Cai:
Memory and Time Efficient 3D Neuron Morphology Tracing in Large-Scale Images. DICTA 2018: 1-8 - [c113]Chaoyi Zhang, Yang Song, Sidong Liu, Scott Lill, Chenyu Wang, Zihao Tang, Yuyi You, Yang Gao, Alexander Klistorner, Michael Barnett, Weidong Cai:
MS-GAN: GAN-Based Semantic Segmentation of Multiple Sclerosis Lesions in Brain Magnetic Resonance Imaging. DICTA 2018: 1-8 - [c112]Chaoyi Zhang, Yang Song, Donghao Zhang, Sidong Liu, Mei Chen, Weidong Cai:
Whole Slide Image Classification via Iterative Patch Labelling. ICIP 2018: 1408-1412 - [c111]Dongnan Liu, Donghao Zhang, Siqi Liu, Yang Song, Haozhe Jia, Dagan Feng, Yong Xia, Weidong Cai:
Densely Connected Large Kernel Convolutional Network for Semantic Membrane Segmentation in Microscopy Images. ICIP 2018: 2461-2465 - [c110]Dongnan Liu, Donghao Zhang, Yang Song, Fan Zhang, Lauren J. O'Donnell, Weidong Cai:
3D Large Kernel Anisotropic Network for Brain Tumor Segmentation. ICONIP (7) 2018: 444-454 - [c109]Yang Song, Hang Chang, Yang Gao, Sidong Liu, Donghao Zhang, Junen Yao, Wojciech Chrzanowski, Weidong Cai:
Feature learning with component selective encoding for histopathology image classification. ISBI 2018: 257-260 - [c108]Donghao Zhang, Yang Song, Siqi Liu, Dagan Feng, Yue Wang, Weidong Cai:
Nuclei instance segmentation with dual contour-enhanced adversarial network. ISBI 2018: 409-412 - [c107]Shen Lu, Yong Xia, Weidong Cai, David Dagan Feng, Michael J. Fulham:
Cross-cohort dementia identification using transfer learning with FDG-PET imaging. ISBI 2018: 1550-1554 - [c106]Zihao Tang, Chenyu Wang, Phu Hoang, Sidong Liu, Weidong Cai, Domenic Soligo, Ruth Oliver, Michael Barnett, Ché Fornusek:
Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images. DATRA/PIPPI@MICCAI 2018: 14-21 - [c105]Yicheng Wu, Yong Xia, Yang Song, Yanning Zhang, Weidong Cai:
Multiscale Network Followed Network Model for Retinal Vessel Segmentation. MICCAI (2) 2018: 119-126 - [c104]Donghao Zhang, Yang Song, Dongnan Liu, Haozhe Jia, Siqi Liu, Yong Xia, Heng Huang, Weidong Cai:
Panoptic Segmentation with an End-to-End Cell R-CNN for Pathology Image Analysis. MICCAI (2) 2018: 237-244 - [c103]Xiaoqian Wang, Weidong Cai, Dinggang Shen, Heng Huang:
Temporal Correlation Structure Learning for MCI Conversion Prediction. MICCAI (3) 2018: 446-454 - [c102]Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Weidong Cai, Dorin Comaniciu:
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. MICCAI (2) 2018: 851-858 - [i3]Haozhe Jia, Yang Song, Donghao Zhang, Heng Huang, Dagan Feng, Michael J. Fulham, Yong Xia, Weidong Cai:
3D Global Convolutional Adversarial Network\\ for Prostate MR Volume Segmentation. CoRR abs/1807.06742 (2018) - 2017
- [j40]Shen Lu, Yong Xia, Weidong Cai, Michael J. Fulham, David Dagan Feng:
Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging. Comput. Medical Imaging Graph. 60: 35-41 (2017) - [j39]Fanjie Meng, Ruixia Shi, Dalong Shan, Yang Song, Wangpeng He, Weidong Cai:
Multi-sensor image fusion based on regional characteristics. Int. J. Distributed Sens. Networks 13(11) (2017) - [j38]Afaf Tareef, Yang Song, Weidong Cai, Heng Huang, Hang Chang, Yue Wang, Michael J. Fulham, Dagan Feng, Mei Chen:
Automatic segmentation of overlapping cervical smear cells based on local distinctive features and guided shape deformation. Neurocomputing 221: 94-107 (2017) - [j37]Yuanjie Zheng, Shaoting Zhang, Junzhou Huang, Weidong Cai:
Guest Editorial: Special issue on advances in computing techniques for big medical image data. Neurocomputing 229: 1-2 (2017) - [j36]Afaf Tareef, Yang Song, Heng Huang, Yue Wang, Dagan Feng, Mei Chen, Weidong Cai:
Optimizing the cervix cytological examination based on deep learning and dynamic shape modeling. Neurocomputing 248: 28-40 (2017) - [j35]Peng Fu, Changyang Li, Weidong Cai, Quan-Sen Sun:
A spatially cohesive superpixel model for image noise level estimation. Neurocomputing 266: 420-432 (2017) - [j34]Yang Song, Qing Li, Fan Zhang, Heng Huang, Dagan Feng, Yue Wang, Mei Chen, Weidong Cai:
Dual discriminative local coding for tissue aging analysis. Medical Image Anal. 38: 65-76 (2017) - [j33]Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Weidong Cai:
Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification. IEEE Trans. Medical Imaging 36(8): 1636-1649 (2017) - [c101]Zhouyuan Huo, Shangqian Gao, Weidong Cai, Heng Huang:
Video Recovery via Learning Variation and Consistency of Images. AAAI 2017: 4082-4088 - [c100]Yang Song, Fan Zhang, Qing Li, Heng Huang, Lauren J. O'Donnell, Weidong Cai:
Locally-Transferred Fisher Vectors for Texture Classification. ICCV 2017: 4922-4930 - [c99]Kamran Ghasedi Dizaji, Amirhossein Herandi, Cheng Deng, Weidong Cai, Heng Huang:
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization. ICCV 2017: 5747-5756 - [c98]Zihao Tang, Donghao Zhang, Siqi Liu, Yang Song, Hanchuan Peng, Weidong Cai:
Automatic 3D Single Neuron Reconstruction with Exhaustive Tracing. ICCV Workshops 2017: 126-133 - [c97]Afaf Tareef, Yang Song, Dagan Feng, Mei Chen, Weidong Cai:
Automated multi-stage segmentation of white blood cells via optimizing color processing. ISBI 2017: 565-568 - [c96]Yang Song, Ju Jia Zou, Hang Chang, Weidong Cai:
Adapting fisher vectors for histopathology image classification. ISBI 2017: 600-603 - [c95]Haozhe Jia, Yong Xia, Tom Weidong Cai, Michael J. Fulham, David Dagan Feng:
Prostate segmentation in MR images using ensemble deep convolutional neural networks. ISBI 2017: 762-765 - [c94]Fan Zhang, Pegah Kahali, Yannick Suter, Isaiah Norton, Laura Rigolo, Peter Savadjiev, Yang Song, Yogesh Rathi, Tom Weidong Cai, William M. Wells III, Alexandra J. Golby, Lauren J. O'Donnell:
Automated connectivity-based groupwise cortical atlas generation: Application to data of neurosurgical patients with brain tumors for cortical parcellation prediction. ISBI 2017: 774-777 - [c93]Fan Zhang, Isaiah Norton, Weidong Cai, Yang Song, William M. Wells III, Lauren J. O'Donnell:
Comparison between two white matter segmentation strategies: An investigation into white matter segmentation consistency. ISBI 2017: 796-799 - [c92]Yang Song, Hang Chang, Heng Huang, Weidong Cai:
Supervised Intra-embedding of Fisher Vectors for Histopathology Image Classification. MICCAI (3) 2017: 99-106 - [c91]Siqi Liu, Donghao Zhang, Yang Song, Hanchuan Peng, Weidong Cai:
Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic Images. MLMI@MICCAI 2017: 185-193 - [c90]Fan Zhang, Weining Wu, Lipeng Ning, Gloria McAnulty, Deborah P. Waber, Borjan A. Gagoski, Kiera Sarill, Hesham M. Hamoda, Yang Song, Weidong Cai, Yogesh Rathi, Lauren J. O'Donnell:
Supra-Threshold Fiber Cluster Statistics for Data-Driven Whole Brain Tractography Analysis. MICCAI (1) 2017: 556-565 - [c89]Yutong Xie, Yong Xia, Jianpeng Zhang, David Dagan Feng, Michael J. Fulham, Weidong Cai:
Transferable Multi-model Ensemble for Benign-Malignant Lung Nodule Classification on Chest CT. MICCAI (3) 2017: 656-664 - [c88]Xiaoqian Wang, Hong Chen, Weidong Cai, Dinggang Shen, Heng Huang:
Regularized Modal Regression with Applications in Cognitive Impairment Prediction. NIPS 2017: 1448-1458 - [p1]Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Müller:
Text- and Content-Based Medical Image Retrieval in the VISCERAL Retrieval Benchmark. Cloud-Based Benchmarking of Medical Image Analysis 2017: 237-249 - [e3]Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens:
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7 [contents] - [i2]Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Sasa Grbic, Olivier Pauly, Weidong Cai, Dorin Comaniciu:
3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes. CoRR abs/1711.08580 (2017) - 2016
- [j32]Yuchen Yuan, Yi Shi, Changyang Li, Jinman Kim, Weidong Cai, Zeguang Han, David Dagan Feng:
DeepGene: an advanced cancer type classifier based on deep learning and somatic point mutations. BMC Bioinform. 17(S-17): 243-256 (2016) - [j31]Yang Song, Weidong Cai, Heng Huang, Dagan Feng, Yue Wang, Mei Chen:
Bioimage classification with subcategory discriminant transform of high dimensional visual descriptors. BMC Bioinform. 17: 465:1-465:15 (2016) - [j30]Yang Song, Qing Li, Dagan Feng, Ju Jia Zou, Weidong Cai:
Texture image classification with discriminative neural networks. Comput. Vis. Media 2(4): 367-377 (2016) - [j29]Fan Zhang, Yang Song, Weidong Cai, Alexander G. Hauptmann, Sidong Liu, Sonia Pujol, Ron Kikinis, Michael J. Fulham, David Dagan Feng, Mei Chen:
Dictionary pruning with visual word significance for medical image retrieval. Neurocomputing 177: 75-88 (2016) - [j28]Siqi Liu, Donghao Zhang, Sidong Liu, Dagan Feng, Hanchuan Peng, Weidong Cai:
Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking. Neuroinformatics 14(4): 387-401 (2016) - [j27]Fan Zhang, Yang Song, Weidong Cai, Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Yong Xia, Michael J. Fulham, David Dagan Feng:
Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging. IEEE Trans. Biomed. Eng. 63(5): 1058-1069 (2016) - [c87]Sidong Liu, Yang Song, Fan Zhang, Dagan Feng, Michael J. Fulham, Tom Weidong Cai:
Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation. BIH 2016: 285-294 - [c86]Yang Song, Qing Li, Heng Huang, Dagan Feng, Mei Chen, Tom Weidong Cai:
Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors. ECCV Workshops (1) 2016: 306-317 - [c85]Fan Zhang, Peter Savadjiev, Tom Weidong Cai, Yang Song, Ragini Verma, Carl-Fredrik Westin, Lauren J. O'Donnell:
Fiber clustering based white matter connectivity analysis for prediction of Autism Spectrum Disorder using diffusion tensor imaging. ISBI 2016: 564-567 - [c84]Donghao Zhang, Siqi Liu, Sidong Liu, Dagan Feng, Hanchuan Peng, Weidong Cai:
Reconstruction of 3D neuron morphology using Rivulet back-tracking. ISBI 2016: 598-601 - [c83]Afaf Tareef, Yang Song, Tom Weidong Cai, Yue Wang, David Dagan Feng, Mei Chen:
Automatic nuclei and cytoplasm segmentation of leukocytes with color and texture-based image enhancement. ISBI 2016: 935-938 - [c82]Yang Song, Weidong Cai, Fan Zhang, Heng Huang, David Dagan Feng, Yue Wang, Mei Chen:
Texture analysis of tissue aging using global and cluster constrained local coding. ISBI 2016: 1229-1232 - [c81]Ju Han, Yunfu Wang, Weidong Cai, Alexander Borowsky, Bahram Parvin, Hang Chang:
Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma. MICCAI (1) 2016: 72-80 - [c80]Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia:
Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. MCV/BAMBI@MICCAI 2016: 116-125 - [c79]Hong Chen, Haifeng Xia, Heng Huang, Weidong Cai:
Error Analysis of Generalized Nyström Kernel Regression. NIPS 2016: 2541-2549 - [e2]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9601, Springer 2016, ISBN 978-3-319-42015-8 [contents] - 2015
- [j26]Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael J. Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis:
Multimodal neuroimaging computing: a review of the applications in neuropsychiatric disorders. Brain Informatics 2(3): 167-180 (2015) - [j25]Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhang, Michael J. Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis:
Multimodal neuroimaging computing: the workflows, methods, and platforms. Brain Informatics 2(3): 181-195 (2015) - [j24]Yang Song, Tom Weidong Cai, Heng Huang, Yun Zhou, Yue Wang, David Dagan Feng:
Locality-constrained Subcluster Representation Ensemble for lung image classification. Medical Image Anal. 22(1): 102-113 (2015) - [j23]Siqi Liu, Sidong Liu, Weidong Cai, Hangyu Che, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael J. Fulham:
Multimodal Neuroimaging Feature Learning for Multiclass Diagnosis of Alzheimer's Disease. IEEE Trans. Biomed. Eng. 62(4): 1132-1140 (2015) - [j22]Yang Song, Tom Weidong Cai, Heng Huang, Yun Zhou, David Dagan Feng, Yue Wang, Michael J. Fulham, Mei Chen:
Large Margin Local Estimate With Applications to Medical Image Classification. IEEE Trans. Medical Imaging 34(6): 1362-1377 (2015) - [c78]Siqi Liu, Sidong Liu, Tom Weidong Cai, Sonia Pujol, Ron Kikinis, David Dagan Feng:
Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis. ACALCI 2015: 350-359 - [c77]Fan Zhang, Yang Song, Tom Weidong Cai, Alexander G. Hauptmann, Sidong Liu, Siqi Liu, David Dagan Feng, Mei Chen:
Ranking-Based Vocabulary Pruning in Bag-of-Features for Image Retrieval. ACALCI 2015: 436-445 - [c76]Hongchang Gao, Feiping Nie, Tom Weidong Cai, Heng Huang:
Robust Capped Norm Nonnegative Matrix Factorization: Capped Norm NMF. CIKM 2015: 871-880 - [c75]Peng Li, Tom Weidong Cai, Heng Huang:
Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization: Weakly Supervised Abstractive Multi-Document Summarization. CIKM 2015: 1401-1410 - [c74]ChangYang Li, Yuchen Yuan, Weidong Cai, Yong Xia, David Dagan Feng:
Robust saliency detection via regularized random walks ranking. CVPR 2015: 2710-2717 - [c73]Yang Song, Weidong Cai, Qing Li, Fan Zhang, David Dagan Feng, Heng Huang:
Fusing subcategory probabilities for texture classification. CVPR 2015: 4409-4417 - [c72]Afaf Tareef, Yang Song, Min-Zhao Lee, David Dagan Feng, Mei Chen, Tom Weidong Cai:
Morphological Filtering and Hierarchical Deformation for Partially Overlapping Cell Segmentation. DICTA 2015: 1-7 - [c71]Siqi Liu, Nur Hadi, Sidong Liu, Sonia Pujol, Ron Kikinis, Fan Zhang, Dagan Feng, Weidong Cai:
Content-Based Retrieval of Brain Diffusion Magnetic Resonance Image. MRDM@ECIR 2015: 54-60 - [c70]Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Müller:
USYD/HES-SO in the VISCERAL Retrieval Benchmark. MRDM@ECIR 2015: 139-143 - [c69]Shen Lu, Yong Xia, Tom Weidong Cai, David Dagan Feng:
Semi-supervised manifold learning with affinity regularization for Alzheimer's disease identification using positron emission tomography imaging. EMBC 2015: 2251-2254 - [c68]Sidong Liu, Tom Weidong Cai, Siqi Liu, Sonia Pujol, Ron Kikinis, David Dagan Feng:
Subject-centered multi-view feature fusion for neuroimaging retrieval and classification. ICIP 2015: 2505-2509 - [c67]Fan Zhang, Weidong Cai, Yang Song, Paul M. Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Dagan Feng:
Beating cilia identification in fluorescence microscope images for accurate CBF measurement. ICIP 2015: 4496-4500 - [c66]Afaf Tareef, Yang Song, Weidong Cai, Heng Huang, Yue Wang, Dagan Feng, Mei Chen:
Learning Shape-Driven Segmentation Based on Neural Network and Sparse Reconstruction Toward Automated Cell Analysis of Cervical Smears. ICONIP (1) 2015: 390-400 - [c65]Yang Song, Weidong Cai, Fan Zhang, Heng Huang, Yun Zhou, David Dagan Feng:
Bone texture characterization with fisher encoding of local descriptors. ISBI 2015: 5-8 - [c64]Siqi Liu, Sidong Liu, Fan Zhang, Tom Weidong Cai, Sonia Pujol, Ron Kikinis, David Dagan Feng:
Longitudinal brain MR retrieval with diffeomorphic demons registration: What happened to those patients with similar changes? ISBI 2015: 588-591 - [c63]Hongchang Gao, Lin Yan, Weidong Cai, Heng Huang:
Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration: Multi-Dimensional Feature Learning. KDD 2015: 339-348 - [c62]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Weidong Cai, Dimitris N. Metaxas:
Overview of the 2015 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2015). MCV@MICCAI 2015: 3-9 - [c61]Fan Zhang, Yang Song, Siqi Liu, Paul M. Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Sidong Liu, David Dagan Feng, Tom Weidong Cai:
Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation. MICCAI (3) 2015: 300-307 - [i1]Siqi Liu, Sidong Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael J. Fulham, Weidong Cai:
Morphometry-Based Longitudinal Neurodegeneration Simulation with MR Imaging. CoRR abs/1508.05683 (2015) - 2014
- [j21]Sidong Liu, Weidong Cai, Lingfeng Wen, David Dagan Feng, Sonia Pujol, Ron Kikinis, Michael J. Fulham, Stefan Eberl:
Multi-Channel neurodegenerative pattern analysis and its application in Alzheimer's disease characterization. Comput. Medical Imaging Graph. 38(6): 436-444 (2014) - [j20]Fan Zhang, Yang Song, Weidong Cai, Min-Zhao Lee, Yun Zhou, Heng Huang, Shimin Shan, Michael J. Fulham, David Dagan Feng:
Lung Nodule Classification With Multilevel Patch-Based Context Analysis. IEEE Trans. Biomed. Eng. 61(4): 1155-1166 (2014) - [j19]Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Yun Zhou, Michael J. Fulham, David Dagan Feng:
Lesion Detection and Characterization With Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies. IEEE Trans. Medical Imaging 33(2): 408-421 (2014) - [c60]Fan Zhang, Yang Song, Sidong Liu, Sonia Pujol, Ron Kikinis, David Dagan Feng, Tom Weidong Cai:
Latent Semantic Association for Medical Image Retrieval. DICTA 2014: 1-6 - [c59]Gillian Ng, Yang Song, Weidong Cai, Yun Zhou, Sidong Liu, David Dagan Feng:
Hierarchical and binary spatial descriptors for lung nodule image retrieval. EMBC 2014: 6463-6466 - [c58]Qing Li, Weidong Cai, Xiaogang Wang, Yun Zhou, David Dagan Feng, Mei Chen:
Medical image classification with convolutional neural network. ICARCV 2014: 844-848 - [c57]Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Weidong Cai:
Propagation graph fusion for multi-modal medical content-based retrieval. ICARCV 2014: 849-854 - [c56]Afaf Tareef, Yang Song, Weidong Cai, David Dagan Feng, Mei Chen:
Automated three-stage nucleus and cytoplasm segmentation of overlapping cells. ICARCV 2014: 865-870 - [c55]Peng Fu, ChangYang Li, Quan-Sen Sun, Tom Weidong Cai, David Dagan Feng:
Image noise level estimation based on a new adaptive superpixel classification. ICIP 2014: 2649-2653 - [c54]Fan Zhang, Weidong Cai, Yang Song, Paul M. Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Dagan Feng:
Image-based ciliary beating frequency estimation for therapeutic assessment on defective mucociliary clearance diseases. ISBI 2014: 193-196 - [c53]Weidong Cai, Fan Zhang, Yang Song, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, Dagan Feng:
Automated feedback extraction for medical imaging retrieval. ISBI 2014: 907-910 - [c52]Hangyu Che, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng:
Co-neighbor multi-view spectral embedding for medical content-based retrieval. ISBI 2014: 911-914 - [c51]Siqi Liu, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng:
Early diagnosis of Alzheimer's disease with deep learning. ISBI 2014: 1015-1018 - [c50]Fan Zhang, Yang Song, Weidong Cai, Yun Zhou, Michael J. Fulham, Stefan Eberl, Shimin Shan, Dagan Feng:
A ranking-based lung nodule image classification method using unlabeled image knowledge. ISBI 2014: 1356-1359 - [c49]Henning Müller, Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Overview of the 2014 Workshop on Medical Computer Vision - Algorithms for Big Data (MCV 2014). MCV 2014: 3-10 - [c48]Yang Song, Tom Weidong Cai, Heng Huang, Yun Zhou, David Dagan Feng, Mei Chen:
Large Margin Aggregation of Local Estimates for Medical Image Classification. MICCAI (2) 2014: 196-203 - [c47]De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Tom Weidong Cai, Andrew J. Saykin, Li Shen, Heng Huang:
Human Connectome Module Pattern Detection Using a New Multi-graph MinMax Cut Model. MICCAI (3) 2014: 313-320 - [e1]Bjoern H. Menze, Georg Langs, Albert Montillo, B. Michael Kelm, Henning Müller, Shaoting Zhang, Tom Weidong Cai, Dimitris N. Metaxas:
Medical Computer Vision: Algorithms for Big Data - International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers. Lecture Notes in Computer Science 8848, Springer 2014, ISBN 978-3-319-13971-5 [contents] - 2013
- [j18]Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng, Mei Chen:
Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling. BMC Bioinform. 14: 173 (2013) - [j17]Ashnil Kumar, Jinman Kim, Weidong Cai, Michael J. Fulham, Dagan Feng:
Content-Based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data. J. Digit. Imaging 26(6): 1025-1039 (2013) - [j16]Yang Song, Weidong Cai, Yun Zhou, David Dagan Feng:
Feature-Based Image Patch Approximation for Lung Tissue Classification. IEEE Trans. Medical Imaging 32(4): 797-808 (2013) - [c46]Fan Zhang, Yang Song, Weidong Cai, Yun Zhou, Shimin Shan, Dagan Feng:
Context Curves for Classification of Lung Nodule Images. DICTA 2013: 1-7 - [c45]Min-Zhao Lee, Weidong Cai, Yang Song, Hiran Selvadurai, David Dagan Feng:
Fully automated scoring of chest radiographs in cystic fibrosis. EMBC 2013: 3965-3968 - [c44]Sidong Liu, Weidong Cai, Yang Song, Sonia Pujol, Ron Kikinis, Lingfeng Wen, David Dagan Feng:
Localized Sparse Code Gradient in Alzheimer's disease staging. EMBC 2013: 5398-5401 - [c43]Fan Zhang, Weidong Cai, Yang Song, Min-Zhao Lee, Shimin Shan, David Dagan Feng:
Overlapping node discovery for improving classification of lung nodules. EMBC 2013: 5461-5464 - [c42]Qing Li, Weidong Cai, David Dagan Feng:
Lung image patch classification with automatic feature learning. EMBC 2013: 6079-6082 - [c41]Yang Song, Weidong Cai, David Dagan Feng, Mei Chen:
Cell nuclei segmentation in fluorescence microscopy images using inter- and intra-region discriminative information. EMBC 2013: 6087-6090 - [c40]Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang:
New Graph Structured Sparsity Model for Multi-label Image Annotations. ICCV 2013: 801-808 - [c39]Hua Wang, Feiping Nie, Weidong Cai, Heng Huang:
Semi-supervised Robust Dictionary Learning via Efficient l-Norms Minimization. ICCV 2013: 1145-1152 - [c38]Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang:
Heterogeneous Image Features Integration via Multi-modal Semi-supervised Learning Model. ICCV 2013: 1737-1744 - [c37]Sidong Liu, Lelin Zhang, Weidong Cai, Yang Song, Zhiyong Wang, Lingfeng Wen, David Dagan Feng:
A supervised multiview spectral embedding method for neuroimaging classification. ICIP 2013: 601-605 - [c36]Lelin Zhang, Sidong Liu, Zhiyong Wang, Weidong Cai, Yang Song, David Dagan Feng:
Graph cuts based relevance feedback in image retrieval. ICIP 2013: 4358-4362 - [c35]Yang Song, Weidong Cai, Yun Zhou, Lingfeng Wen, David Dagan Feng:
Pathology-centric medical image retrieval with hierarchical contextual spatial descriptor. ISBI 2013: 198-201 - [c34]Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng:
Multi-Channel brain atrophy pattern analysis in neuroimaging retrieval. ISBI 2013: 202-205 - [c33]Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng:
Neuroimaging biomarker based prediction of Alzheimer'S disease severity with optimized graph construction. ISBI 2013: 1336-1339 - [c32]Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Stefan Eberl, Michael J. Fulham, Dagan Feng:
Similarity Guided Feature Labeling for Lesion Detection. MICCAI (1) 2013: 284-291 - [c31]Sidong Liu, Yang Song, Weidong Cai, Sonia Pujol, Ron Kikinis, Xiaogang Wang, Dagan Feng:
Multifold Bayesian Kernelization in Alzheimer's Diagnosis. MICCAI (2) 2013: 303-310 - [c30]Yang Song, Weidong Cai, Seungil Huh, Mei Chen, Takeo Kanade, Yun Zhou, Dagan Feng:
Discriminative Data Transform for Image Feature Extraction and Classification. MICCAI (2) 2013: 452-459 - [c29]Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen:
A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis. MICCAI (2) 2013: 625-632 - 2012
- [j15]Yang Song, Weidong Cai, Jinman Kim, David Dagan Feng:
A Multistage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images. IEEE Trans. Medical Imaging 31(5): 1061-1075 (2012) - [c28]Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng:
Object localization in medical images based on graphical model with contrast and interest-region terms. CVPR Workshops 2012: 1-7 - [c27]Yang Song, Weidong Cai, David Dagan Feng:
Microscopic Image Segmentation with Two-Level Enhancement of Feature Discriminability. DICTA 2012: 1-6 - [c26]Sidong Liu, Weidong Cai, Lingfeng Wen, David Dagan Feng:
Multiscale and multiorientation feature extraction with degenerative patterns for 3D neuroimaging retrieval. ICIP 2012: 1249-1252 - [c25]Yang Song, Weidong Cai, David Dagan Feng:
Global context inference for adaptive abnormality detection in PET-CT images. ISBI 2012: 482-485 - [c24]Yang Song, Weidong Cai, Yue Wang, David Dagan Feng:
Location classification of lung nodules with optimized graph construction. ISBI 2012: 1439-1442 - [c23]Weidong Cai, Yang Song, David Dagan Feng:
Regression and classification based distance metric learning for medical image retrieval. ISBI 2012: 1775-1778 - [c22]Yang Song, Weidong Cai, Yun Zhou, Dagan Feng:
Thoracic Abnormality Detection with Data Adaptive Structure Estimation. MICCAI (1) 2012: 74-81 - [c21]Yang Song, Weidong Cai, Heng Huang, Yue Wang, David Dagan Feng:
Context Enhanced Graphical Model for Object Localization in Medical Images. MCV 2012: 194-205 - 2011
- [c20]Xian Shi, Lingfeng Wen, Weidong Cai, David Dagan Feng:
A Study on Static Image Derived Input Function for Non-invasively Constructing Parametric Image in Functional Imaging. DICTA 2011: 314-318 - [c19]Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Thoracic image matching with appearance and spatial distribution. EMBC 2011: 4469-4472 - [c18]Sidong Liu, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Generalized regional disorder-sensitive-weighting scheme for 3D neuroimaging retrieval. EMBC 2011: 7009-7012 - [c17]Sidong Liu, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Localized functional neuroimaging retrieval using 3D discrete curvelet transform. ISBI 2011: 1877-1880 - [c16]Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Thoracic image case retrieval with spatial and contextual information. ISBI 2011: 1885-1888 - [c15]Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Discriminative Pathological Context Detection in Thoracic Images Based on Multi-level Inference. MICCAI (3) 2011: 191-198 - 2010
- [j14]Weihong Deng, Jiani Hu, Jun Guo, Weidong Cai, David Dagan Feng:
Robust, accurate and efficient face recognition from a single training image: A uniform pursuit approach. Pattern Recognit. 43(5): 1748-1762 (2010) - [j13]Weihong Deng, Jiani Hu, Jun Guo, Weidong Cai, David Dagan Feng:
Emulating biological strategies for uncontrolled face recognition. Pattern Recognit. 43(6): 2210-2223 (2010) - [c14]Sidong Liu, Lei Jing, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Localized multiscale texture based retrieval of neurological image. CBMS 2010: 243-248 - [c13]Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
A content-based image retrieval framework for multi-modality lung images. CBMS 2010: 285-290 - [c12]Yang Song, Weidong Cai, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
Structure-Adaptive Feature Extraction and Representation for Multi-modality Lung Images Retrieval. DICTA 2010: 152-157 - [c11]Weidong Cai, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael J. Fulham, David Dagan Feng:
3D neurological image retrieval with localized pathology-centric CMRGlc patterns. ICIP 2010: 3201-3204
2000 – 2009
- 2009
- [j12]Jinman Kim, Weidong Cai, David Dagan Feng:
Bridging the Feature Gaps for Retrieval of Multi-Dimensional Images. Int. J. Heal. Inf. Syst. Informatics 4(1): 34-46 (2009) - 2008
- [j11]Hoi-Kok Cheung, Wan-Chi Siu, David Dagan Feng, Tom Weidong Cai:
New Block-Based Motion Estimation for Sequences with Brightness Variation and Its Application to Static Sprite Generation for Video Compression. IEEE Trans. Circuits Syst. Video Technol. 18(4): 522-527 (2008) - 2007
- [j10]Jinman Kim, Weidong Cai, Stefan Eberl, David Dagan Feng:
Real-Time Volume Rendering Visualization of Dual-Modality PET/CT Images With Interactive Fuzzy Thresholding Segmentation. IEEE Trans. Inf. Technol. Biomed. 11(2): 161-169 (2007) - [j9]Lingfeng Wen, Stefan Eberl, David Dagan Feng, Tom Weidong Cai, Jing Bai:
Fast and Reliable Estimation of Multiple Parametric Images Using an Integrated Method for Dynamic SPECT. IEEE Trans. Medical Imaging 26(2): 179-189 (2007) - 2006
- [j8]Jinman Kim, Weidong Cai, David Dagan Feng, Hao Wu:
A New Way for Multidimensional Medical Data Management: Volume of Interest (VOI)-Based Retrieval of Medical Images With Visual and Functional Features. IEEE Trans. Inf. Technol. Biomed. 10(3): 598-607 (2006) - [j7]Jinman Kim, Weidong Cai, David Dagan Feng, Stefan Eberl:
Segmentation of VOI From Multidimensional Dynamic PET Images by Integrating Spatial and Temporal Features. IEEE Trans. Inf. Technol. Biomed. 10(4): 637-646 (2006) - [c10]Hugh Macready, Jinman Kim, David Feng, Weidong Cai:
Interactive dual-volume rendering visualization with real-time fusion and transfer function enhancement. Medical Imaging: Image-Guided Procedures 2006: 61412P - 2005
- [j6]Zhe Chen, David Dagan Feng, Weidong Cai:
Temporal and Spatial Compression of Dynamic Positron Emission Tomography in Sinogram Domain. Int. J. Image Graph. 5(4): 839-858 (2005) - [j5]Zhe Chen, David Dagan Feng, Weidong Cai, Roger R. Fulton:
Performance evaluation of functional medical imaging compression via optimal sampling schedule designs and cluster analysis. IEEE Trans. Biomed. Eng. 52(5): 943-945 (2005) - 2003
- [c9]Zhe Chen, David Dagan Feng, Weidong Cai:
Pathological lesion detection in 3D dynamic PET images using asymmetry. ICIAP 2003: 295-300 - 2002
- [j4]Weidong Cai, David Dagan Feng, Roger R. Fulton, Wan-Chi Siu:
Generalized linear least squares algorithms for modeling glucose metabolism in the human brain with corrections for vascular effects. Comput. Methods Programs Biomed. 68(1): 1-14 (2002) - [j3]David Dagan Feng, Weidong Cai, Roger R. Fulton:
Dynamic image data compression in the spatial and temporal domains: clinical issues and assessment. IEEE Trans. Inf. Technol. Biomed. 6(4): 262-268 (2002) - [c8]Jinman Kim, David Dagan Feng, Tom Weidong Cai, Stefan Eberl:
Content access and distribution of multimedia medical data in E-health. ICME (2) 2002: 341-344 - [c7]Zhe Chen, David Dagan Feng, Weidong Cai:
Automatic Detection of PET Lesions. VIP 2002: 21-26 - 2001
- [j2]Weidong Cai, David Dagan Feng, Roger R. Fulton:
Web-Based Digital Medical Images. IEEE Computer Graphics and Applications 21(1): 44-47 (2001) - [c6]Jinman Kim, David Dagan Feng, Tom Weidong Cai, Stefan Eberl:
Integrated Multimedia Medical Data Agent in E-Health. VIP 2001: 11-15 - [c5]Jinman Kim, David Dagan Feng, Tom Weidong Cai, Stefan Eberl:
A Solution to the Distribution and Standarization of Multimedia Medical Data in E-Health. VIP 2001: 161-164 - 2000
- [j1]Weidong Cai, David Dagan Feng, Roger R. Fulton:
Content-based retrieval of dynamic PET functional images. IEEE Trans. Inf. Technol. Biomed. 4(2): 152-158 (2000) - [c4]David Dagan Feng, Weidong Cai:
Visualization of Biomedical Processes: Local Quantitative Physiological Functions in Living Human Body. Computer Graphics International 2000: 319-324 - [c3]Jinman Kim, David Dagan Feng, Tom Weidong Cai:
A Web Based Medical Image Data Processing and Management System. VIP 2000: 89-91 - [c2]Yu S. Lim, David Dagan Feng, Tom Weidong Cai:
A Web-based Collaborative System for Medical Image Analysis and Diagnosis. VIP 2000: 93-95 - [c1]Tom Weidong Cai, David Dagan Feng, Roger R. Fulton:
A 3D Image Smoothing Method for Dynamic Functional Imaging. VIP 2000: 99-100
Coauthor Index
aka: Lauren J. O'Donnell
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