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ORCIDDimitris N. Metaxas
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- affiliation: Rutgers University, Division of Computer and Information Sciences, Piscataway, NJ, USA
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2020 – today
- 2024
[j156]Shaoting Zhang
, Dimitris N. Metaxas:
On the challenges and perspectives of foundation models for medical image analysis. Medical Image Anal. 91: 102996 (2024)- [j155]Wenji Wang, Qing Xia, Zhennan Yan, Zhiqiang Hu, Yinan Chen, Wen Zheng, Xiao Wang, Shaoping Nie, Dimitris N. Metaxas, Shaoting Zhang:
AVDNet: Joint coronary artery and vein segmentation with topological consistency. Medical Image Anal. 91: 102999 (2024) - [j154]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. Medical Image Anal. 95: 103199 (2024) - [j153]Yangfan Ni, Geng Chen, Zhan Feng, Heng Cui, Dimitris N. Metaxas, Shaoting Zhang, Wentao Zhu:
DA-Tran: Multiphase liver tumor segmentation with a domain-adaptive transformer network. Pattern Recognit. 149: 110233 (2024) - [j152]Leming Guo, Wanli Xue, Bo Liu, Kaihua Zhang, Tiantian Yuan, Dimitris N. Metaxas:
Gloss Prior Guided Visual Feature Learning for Continuous Sign Language Recognition. IEEE Trans. Image Process. 33: 3486-3495 (2024) - [c456]Zhenting Wang, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma:
DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models. ICLR 2024 - [c455]Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma:
How to Trace Latent Generative Model Generated Images without Artificial Watermark? ICML 2024 - [c454]Evgenia Chroni, Konstantinos M. Dafnis, Georgios Chantzialexiou, Eric Cosatto, Dimitris N. Metaxas:
Improving Test-Time Adaptation For Histopathology Image Segmentation: Gradient-To-Parameter Ratio Guided Feature Alignment. ISBI 2024: 1-5 - [c453]Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas:
Steering Prototypes with Prompt-tuning for Rehearsal-free Continual Learning. WACV 2024: 2511-2521 - [c452]Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Anastasis Stathopoulos, Xiaoxiao He, Yuxiao Chen, Di Liu, Qilong Zhangli, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas:
ProxEdit: Improving Tuning-Free Real Image Editing with Proximal Guidance. WACV 2024: 4279-4289 - [c451]Song Wen, Hao Wang, Di Liu, Qilong Zhangli, Dimitris N. Metaxas:
Second-Order Graph ODEs for Multi-Agent Trajectory Forecasting. WACV 2024: 5079-5088 - [c450]Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal:
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. WACV 2024: 5441-5451 - [c449]Meng Ye, Mikael Kanski, Dong Yang, Leon Axel, Dimitris N. Metaxas:
Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration. WACV 2024: 7629-7639 - [i136]Shiyu Zhao, Long Zhao, Vijay Kumar B. G, Yumin Suh, Dimitris N. Metaxas, Manmohan Chandraker, Samuel Schulter:
Generating Enhanced Negatives for Training Language-Based Object Detectors. CoRR abs/2401.00094 (2024) - [i135]Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas:
Score-Guided Diffusion for 3D Human Recovery. CoRR abs/2403.09623 (2024) - [i134]Di Liu, Bingbing Zhuang, Dimitris N. Metaxas, Manmohan Chandraker:
Instantaneous Perception of Moving Objects in 3D. CoRR abs/2405.02781 (2024) - [i133]Zhenting Wang, Vikash Sehwag, Chen Chen, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma:
How to Trace Latent Generative Model Generated Images without Artificial Watermark? CoRR abs/2405.13360 (2024) - [i132]Zhuowei Li, Zihao Xu, Ligong Han, Yunhe Gao, Song Wen, Di Liu, Hao Wang, Dimitris N. Metaxas:
Implicit In-context Learning. CoRR abs/2405.14660 (2024) - [i131]Xinxi Zhang, Song Wen, Ligong Han, Felix Juefei-Xu, Akash Srivastava, Junzhou Huang, Hao Wang, Molei Tao, Dimitris N. Metaxas:
Spectrum-Aware Parameter Efficient Fine-Tuning for Diffusion Models. CoRR abs/2405.21050 (2024) - [i130]Qilong Zhangli, Jindong Jiang, Di Liu, Licheng Yu, Xiaoliang Dai, Ankit Ramchandani, Guan Pang, Dimitris N. Metaxas, Praveen Krishnan:
SceneTextGen: Layout-Agnostic Scene Text Image Synthesis with Diffusion Models. CoRR abs/2406.01062 (2024) - [i129]Zhixing Zhang, Yanyu Li, Yushu Wu, Yanwu Xu, Anil Kag, Ivan Skorokhodov, Willi Menapace, Aliaksandr Siarohin, Junli Cao, Dimitris N. Metaxas, Sergey Tulyakov, Jian Ren:
SF-V: Single Forward Video Generation Model. CoRR abs/2406.04324 (2024) - [i128]Yunhe Gao, Difei Gu, Mu Zhou, Dimitris N. Metaxas:
Aligning Human Knowledge with Visual Concepts Towards Explainable Medical Image Classification. CoRR abs/2406.05596 (2024) - [i127]Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang:
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. CoRR abs/2406.11675 (2024) - [i126]Can Jin, Hongwu Peng, Shiyu Zhao, Zhenting Wang, Wujiang Xu, Ligong Han, Jiahui Zhao, Kai Zhong, Sanguthevar Rajasekaran, Dimitris N. Metaxas:
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking. CoRR abs/2406.14449 (2024) - [i125]Carol Neidle, Augustine Opoku, Carey Ballard, Yang Zhou, Xiaoxiao He, Gregory Dimitriadis, Dimitris N. Metaxas:
New Capability to Look Up an ASL Sign from a Video Example. CoRR abs/2407.13571 (2024) - 2023
- [j151]Judee K. Burgoon, Aaron C. Elkins, Douglas C. Derrick, Bradley Walls, Dimitris N. Metaxas:
The future of automated capture of social kinesic signals for psychiatric purposes. Frontiers Comput. Sci. 5 (2023) - [j150]Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Yi Yao, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
Manifold-driven decomposition for adversarial robustness. Frontiers Comput. Sci. 5 (2023) - [j149]Guotai Wang, Shaoting Zhang, Sharon X. Huang, Tom Vercauteren, Dimitris N. Metaxas:
Editorial for special issue on explainable and generalizable deep learning methods for medical image computing. Medical Image Anal. 84: 102727 (2023) - [j148]Ran Gu, Guotai Wang, Jiangshan Lu, Jingyang Zhang, Wenhui Lei, Yinan Chen, Wenjun Liao, Shichuan Zhang, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
CDDSA: Contrastive domain disentanglement and style augmentation for generalizable medical image segmentation. Medical Image Anal. 89: 102904 (2023) - [j147]Meng Ye, Dong Yang, Qiaoying Huang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
SequenceMorph: A Unified Unsupervised Learning Framework for Motion Tracking on Cardiac Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10409-10426 (2023) - [j146]Carlos Martín-Isla, Víctor M. Campello, Cristian Izquierdo, Kaisar Kushibar, Carla Sendra-Balcells, Polyxeni Gkontra, Alireza Sojoudi, Mitchell J. Fulton, Tewodros Weldebirhan Arega, Kumaradevan Punithakumar, Lei Li, Xiaowu Sun, Yasmina Al Khalil, Di Liu, Sana Jabbar, Sandro F. Queiros, Francesco Galati, Moona Mazher, Zheyao Gao, Marcel Beetz, Lennart Tautz, Christoforos Galazis, Marta Varela, Markus Hüllebrand, Vicente Grau, Xiahai Zhuang, Domenec Puig, Maria A. Zuluaga, Hassan Mohy-ud-Din, Dimitris N. Metaxas, Marcel Breeuwer, Rob J. van der Geest, Michelle Noga, Stéphanie Bricq, Mark E. Rentschler, Andrea Guala, Steffen E. Petersen, Sergio Escalera, José F. Rodríguez Palomares, Karim Lekadir:
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms Challenge. IEEE J. Biomed. Health Informatics 27(7): 3302-3313 (2023) - [c448]Zhixing Zhang, Ligong Han, Arnab Ghosh, Dimitris N. Metaxas, Jian Ren:
SINE: SINgle Image Editing with Text-to-Image Diffusion Models. CVPR 2023: 6027-6037 - [c447]Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas:
Learning Articulated Shape with Keypoint Pseudo-Labels from Web Images. CVPR 2023: 13092-13101 - [c446]Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang:
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CVPR 2023: 15095-15104 - [c445]Ananya Jana, Aniruddha Maiti, Dimitris N. Metaxas:
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans. EMBC 2023: 1-7 - [c444]Gege Ma, Yuan Jin, Jianhu Pan, Shaoting Zhang, Dimitris N. Metaxas, Wentao Zhu:
Automatic Lung Cancer Subtypes Classification on CT Images with Self-generated Multi-modality Hybrid Features. EMBC 2023: 1-6 - [c443]Yangfan Ni, Geng Chen, Zhan Feng, Heng Cui, Dimitris N. Metaxas, Shaoting Zhang, Wentao Zhu:
Domain-Adversarial Transformer Network for Multiphase Liver Tumor Segmentation. EMBC 2023: 1-4 - [c442]Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang:
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. ICCV 2023: 7289-7300 - [c441]Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas:
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. ICCV 2023: 11919-11928 - [c440]Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas:
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. ICCV 2023: 14190-14200 - [c439]Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. ICCV 2023: 14201-14210 - [c438]Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas:
Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation. ISBI 2023: 1-5 - [c437]Ananya Jana, Ramanathan Arunachalam, Carlos D. Minacapelli, Kaitlyn Catalano, Carlos Catalano, Vinod Rustgi, Dimitris N. Metaxas:
Scale-Aware Multi-Instance Learning for Early Prognosis of Subjects at Risk of Developing Hepatocellular Carcinoma. ISBI 2023: 1-5 - [c436]Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas:
3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation. ISBI 2023: 1-5 - [c435]Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas:
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. MICCAI (7) 2023: 132-142 - [c434]Kexin Ding, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang:
Pathology-and-Genomics Multimodal Transformer for Survival Outcome Prediction. MICCAI (6) 2023: 622-631 - [c433]Di Liu, Anastasis Stathopoulos, Qilong Zhangli, Yunhe Gao, Dimitris N. Metaxas:
LEPARD: Learning Explicit Part Discovery for 3D Articulated Shape Reconstruction. NeurIPS 2023 - [c432]Ziyu Ni, Linda Wei, Lijian Xu, Qing Xia, Hongsheng Li, Shaoting Zhang, Dimitris N. Metaxas:
Voxel2Hemodynamics: An End-to-End Deep Learning Method for Predicting Coronary Artery Hemodynamics. STACOM@MICCAI 2023: 15-24 - [c431]Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction. STACOM@MICCAI 2023: 261-273 - [c430]Yuxiao Chen, Jianbo Yuan, Long Zhao, Tianlang Chen, Rui Luo, Larry Davis, Dimitris N. Metaxas:
More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching. WACV 2023: 4421-4429 - [i124]Ananya Jana, Hrebesh Molly Subhash, Dimitris N. Metaxas:
3D Tooth Mesh Segmentation with Simplified Mesh Cell Representation. CoRR abs/2301.10531 (2023) - [i123]Zhuowei Li, Long Zhao, Zizhao Zhang, Han Zhang, Di Liu, Ting Liu, Dimitris N. Metaxas:
Steering Prototype with Prompt-tuning for Rehearsal-free Continual Learning. CoRR abs/2303.09447 (2023) - [i122]Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang:
SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. CoRR abs/2303.11305 (2023) - [i121]Xiaoxiao He, Chaowei Tan, Bo Liu, Liping Si, Weiwu Yao, Liang Zhao, Di Liu, Qilong Zhangli, Qi Chang, Kang Li, Dimitris N. Metaxas:
Dealing With Heterogeneous 3D MR Knee Images: A Federated Few-Shot Learning Method With Dual Knowledge Distillation. CoRR abs/2303.14357 (2023) - [i120]Yuxiao Chen, Jianbo Yuan, Yu Tian, Shijie Geng, Xinyu Li, Ding Zhou, Dimitris N. Metaxas, Hongxia Yang:
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens. CoRR abs/2303.14865 (2023) - [i119]Ligong Han, Seungwook Han, Shivchander Sudalairaj, Charlotte Loh, Rumen Dangovski, Fei Deng, Pulkit Agrawal, Dimitris N. Metaxas, Leonid Karlinsky, Tsui-Wei Weng, Akash Srivastava:
Constructive Assimilation: Boosting Contrastive Learning Performance through View Generation Strategies. CoRR abs/2304.00601 (2023) - [i118]Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas:
OmniLabel: A Challenging Benchmark for Language-Based Object Detection. CoRR abs/2304.11463 (2023) - [i117]Anastasis Stathopoulos, Georgios Pavlakos, Ligong Han, Dimitris N. Metaxas:
Learning Articulated Shape with Keypoint Pseudo-labels from Web Images. CoRR abs/2304.14396 (2023) - [i116]Ananya Jana, Aniruddha Maiti, Dimitris N. Metaxas:
A Critical Analysis of the Limitation of Deep Learning based 3D Dental Mesh Segmentation Methods in Segmenting Partial Scans. CoRR abs/2305.00244 (2023) - [i115]Yunhe Gao, Zhuowei Li, Di Liu, Mu Zhou, Shaoting Zhang, Dimitris N. Metaxas:
Training Like a Medical Resident: Universal Medical Image Segmentation via Context Prior Learning. CoRR abs/2306.02416 (2023) - [i114]Ligong Han, Song Wen, Qi Chen, Zhixing Zhang, Kunpeng Song, Mengwei Ren, Ruijiang Gao, Yuxiao Chen, Di Liu, Qilong Zhangli, Anastasis Stathopoulos, Jindong Jiang, Zhaoyang Xia, Akash Srivastava, Dimitris N. Metaxas:
Improving Tuning-Free Real Image Editing with Proximal Guidance. CoRR abs/2306.05414 (2023) - [i113]Shaoting Zhang, Dimitris N. Metaxas:
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis. CoRR abs/2306.05705 (2023) - [i112]Zhenting Wang, Chen Chen, Yuchen Liu, Lingjuan Lyu, Dimitris N. Metaxas, Shiqing Ma:
How to Detect Unauthorized Data Usages in Text-to-image Diffusion Models. CoRR abs/2307.03108 (2023) - [i111]Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas:
Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. CoRR abs/2307.07693 (2023) - [i110]Kexin Ding, Mu Zhou, Dimitris N. Metaxas, Shaoting Zhang:
Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction. CoRR abs/2307.11952 (2023) - [i109]Wentao Zhu, Yuan Jin, Gege Ma, Geng Chen, Jan Egger, Shaoting Zhang, Dimitris N. Metaxas:
Classification of lung cancer subtypes on CT images with synthetic pathological priors. CoRR abs/2308.04663 (2023) - [i108]Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Vijay Kumar B. G, Yumin Suh, Manmohan Chandraker, Dimitris N. Metaxas:
Improving Pseudo Labels for Open-Vocabulary Object Detection. CoRR abs/2308.06412 (2023) - [i107]Xiaoxiao He, Chaowei Tan, Ligong Han, Bo Liu, Leon Axel, Kang Li, Dimitris N. Metaxas:
DMCVR: Morphology-Guided Diffusion Model for 3D Cardiac Volume Reconstruction. CoRR abs/2308.09223 (2023) - [i106]Di Liu, Long Zhao, Qilong Zhangli, Yunhe Gao, Ting Liu, Dimitris N. Metaxas:
Deep Deformable Models: Learning 3D Shape Abstractions with Part Consistency. CoRR abs/2309.01035 (2023) - [i105]Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas:
DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. CoRR abs/2309.12594 (2023) - [i104]Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction. CoRR abs/2309.13839 (2023) - [i103]Song Wen, Guian Fang, Renrui Zhang, Peng Gao, Hao Dong, Dimitris N. Metaxas:
Improving Compositional Text-to-image Generation with Large Vision-Language Models. CoRR abs/2310.06311 (2023) - [i102]Zhaoyang Xia, Carol Neidle, Dimitris N. Metaxas:
DiffSLVA: Harnessing Diffusion Models for Sign Language Video Anonymization. CoRR abs/2311.16060 (2023) - [i101]Zhixing Zhang, Bichen Wu, Xiaoyan Wang, Yaqiao Luo, Luxin Zhang, Yinan Zhao, Peter Vajda, Dimitris N. Metaxas, Licheng Yu:
AVID: Any-Length Video Inpainting with Diffusion Model. CoRR abs/2312.03816 (2023) - 2022
- [j145]Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang:
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43(1): 93-104 (2022) - [j144]Xiangde Luo, Tao Song, Guotai Wang, Jieneng Chen, Yinan Chen, Kang Li, Dimitris N. Metaxas, Shaoting Zhang:
SCPM-Net: An anchor-free 3D lung nodule detection network using sphere representation and center points matching. Medical Image Anal. 75: 102287 (2022) - [j143]Qian Da, Xiaodi Huang, Zhongyu Li, Yanfei Zuo, Chenbin Zhang, Jingxin Liu, Wen Chen, Jiahui Li, Dou Xu, Zhiqiang Hu, Hongmei Yi, Yan Guo, Zhe Wang, Ling Chen, Li Zhang, Xianying He, Xiaofan Zhang, Ke Mei, Chuang Zhu, Weizeng Lu, Linlin Shen, Jun Shi, Jun Li, Sreehari S, Ganapathy Krishnamurthi, Jiangcheng Yang, Tiancheng Lin, Qingyu Song, Xuechen Liu, Simon Graham, Raja Muhammad Saad Bashir, Canqian Yang, Shaofei Qin, Xinmei Tian, Baocai Yin, Jie Zhao, Dimitris N. Metaxas, Hongsheng Li, Chaofu Wang, Shaoting Zhang:
DigestPath: A benchmark dataset with challenge review for the pathological detection and segmentation of digestive-system. Medical Image Anal. 80: 102485 (2022) - [j142]Xiangde Luo, Guotai Wang, Wenjun Liao, Jieneng Chen, Tao Song, Yinan Chen, Shichuan Zhang, Dimitris N. Metaxas, Shaoting Zhang:
Semi-supervised medical image segmentation via uncertainty rectified pyramid consistency. Medical Image Anal. 80: 102517 (2022) - [j141]Xiangde Luo, Wenjun Liao, Jianghong Xiao, Jieneng Chen, Tao Song, Xiaofan Zhang, Kang Li, Dimitris N. Metaxas, Guotai Wang, Shaoting Zhang:
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image. Medical Image Anal. 82: 102642 (2022) - [j140]Alireza Naghizadeh, Wei-chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitris N. Metaxas, Carlos A. Ramos, Dongfang Liu:
In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. PLoS Comput. Biol. 18(3) (2022) - [j139]Guotai Wang, Shuwei Zhai, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou, Shaoting Zhang:
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis From Lung CT Scans With Multi-Scale Guided Dense Attention. IEEE Trans. Medical Imaging 41(3): 531-542 (2022) - [j138]Dong Yang, Giovanni Lasio, Baoshe Zhang, Byong Yi, Shifeng Chen, Yin Zhang, Thomas J. Macvittie, Dimitris N. Metaxas, Jinghao Zhou:
Automated Pulmonary Fibrosis Segmentation Using a 3D Multi-Scale Convolutional Encoder-Decoder Approach in Thoracic CT for the Rhesus Macaque with Radiation-Induced Lung Damage. J. Signal Process. Syst. 94(5): 473-483 (2022) - [c429]Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
A Manifold View of Adversarial Risk. AISTATS 2022: 11598-11614 - [c428]Saad Hassan, Sooyeon Lee, Dimitris N. Metaxas, Carol Neidle, Matt Huenerfauth:
Understanding ASL Learners' Preferences for a Sign Language Recording and Automatic Feedback System to Support Self-Study. ASSETS 2022: 85:1-85:5 - [c427]Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris N. Metaxas, Sergey Tulyakov:
Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning. CVPR 2022: 3605-3615 - [c426]Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris N. Metaxas:
Global Matching with Overlapping Attention for Optical Flow Estimation. CVPR 2022: 17571-17580 - [c425]Song Wen, Hao Wang, Dimitris N. Metaxas:
Learning Interacting Dynamic Systems with Neural Ordinary Differential Equations. DDDAS 2022: 217-226 - [c424]Zhuowei Li, Yibo Gao, Zhenzhou Zha, Zhiqiang Hu, Qing Xia, Shaoting Zhang, Dimitris N. Metaxas:
Towards Self-Supervised and Weight-preserving Neural Architecture Search. ECCV Workshops (4) 2022: 3-19 - [c423]Shiyu Zhao, Zhixing Zhang, Samuel Schulter, Long Zhao, B. G. Vijay Kumar, Anastasis Stathopoulos, Manmohan Chandraker, Dimitris N. Metaxas:
Exploiting Unlabeled Data with Vision and Language Models for Object Detection. ECCV (9) 2022: 159-175 - [c422]Yuxiao Chen, Long Zhao, Jianbo Yuan, Yu Tian, Zhaoyang Xia, Shijie Geng, Ligong Han, Dimitris N. Metaxas:
Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning. ECCV (26) 2022: 185-202 - [c421]Song Wen, Hao Wang, Dimitris N. Metaxas:
Social ODE: Multi-agent Trajectory Forecasting with Neural Ordinary Differential Equations. ECCV (22) 2022: 217-233 - [c420]Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas:
Modality Bank: Learn multi-modality images across data centers without sharing medical data. EMBC 2022: 4758-4763 - [c419]Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas:
Learning Transferable Reward for Query Object Localization with Policy Adaptation. ICLR 2022 - [c418]Konstantinos M. Dafnis, Evgenia Chroni, Carol Neidle, Dimitris N. Metaxas:
Bidirectional Skeleton-Based Isolated Sign Recognition using Graph Convolutional Networks. LREC 2022: 7328-7338 - [c417]Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Qi Chang, Ligong Han, Yunhe Gao, Song Wen, Haiming Tang, He Wang, Mu Zhou, Dimitris N. Metaxas:
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. MICCAI (4) 2022: 129-139 - [c416]Di Liu, Yunhe Gao, Qilong Zhangli, Ligong Han, Xiaoxiao He, Zhaoyang Xia, Song Wen, Qi Chang, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas:
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. MICCAI (5) 2022: 485-495 - [c415]Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method. MICCAI (4) 2022: 567-577 - [c414]Bingyu Xin, Timothy S. Phan, Leon Axel, Dimitris N. Metaxas:
Learned Half-Quadratic Splitting Network for MR Image Reconstruction. MIDL 2022: 1403-1412 - [c413]Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas:
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. WACV 2022: 955-964 - [i100]Carol Neidle, Augustine Opoku, Dimitris N. Metaxas:
ASL Video Corpora & Sign Bank: Resources Available through the American Sign Language Linguistic Research Project (ASLLRP). CoRR abs/2201.07899 (2022) - [i99]Zhuowei Li, Zihao Liu, Zhiqiang Hu, Qing Xia, Ruiqin Xiong, Shaoting Zhang, Dimitris N. Metaxas, Tingting Jiang:
Contrastive and Selective Hidden Embeddings for Medical Image Segmentation. CoRR abs/2201.08779 (2022) - [i98]Qi Chang, Hui Qu, Zhennan Yan, Yunhe Gao, Lohendran Baskaran, Dimitris N. Metaxas:
Modality Bank: Learn multi-modality images across data centers without sharing medical data. CoRR abs/2201.08955 (2022) - [i97]Kexin Ding, Mu Zhou, Zichen Wang, Qiao Liu, Corey W. Arnold, Shaoting Zhang, Dimitris N. Metaxas:
Graph Convolutional Networks for Multi-modality Medical Imaging: Methods, Architectures, and Clinical Applications. CoRR abs/2202.08916 (2022) - [i96]Tingfeng Li, Shaobo Han, Martin Renqiang Min, Dimitris N. Metaxas:
Learning Transferable Reward for Query Object Localization with Policy Adaptation. CoRR abs/2202.12403 (2022) - [i95]