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ORCIDDimitris N. Metaxas
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- affiliation: Rutgers University, Division of Computer and Information Sciences
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2020 – today
- 2022
[j141]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)- [j140]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) - [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) - [c414]Wenjia Zhang, Yikai Zhang, Xiaoling Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
A Manifold View of Adversarial Risk. AISTATS 2022: 11598-11614 - [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 - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]Yunhe Gao, Mu Zhou, Di Liu, Dimitris N. Metaxas:
A Multi-scale Transformer for Medical Image Segmentation: Architectures, Model Efficiency, and Benchmarks. CoRR abs/2203.00131 (2022) - [i87]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. CoRR abs/2203.02573 (2022) - [i86]Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He, Zhaoyang Xia, Haiming Tang, He Wang, Mu Zhou, Dimitris N. Metaxas:
Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images. CoRR abs/2203.02846 (2022) - [i85]Di Liu, Yunhe Gao, Qilong Zhangli, Zhennan Yan, Mu Zhou, Dimitris N. Metaxas:
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers. CoRR abs/2203.10726 (2022) - [i84]Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris N. Metaxas:
Global Matching with Overlapping Attention for Optical Flow Estimation. CoRR abs/2203.11335 (2022) - [i83]Wenjia Zhang, Yikai Zhang, Xiaolin Hu, Mayank Goswami, Chao Chen, Dimitris N. Metaxas:
A Manifold View of Adversarial Risk. CoRR abs/2203.13277 (2022) - [i82]Zhuowei Li, Yibo Gao, Zhenzhou Zha, Zhiqiang Hu, Qing Xia, Shaoting Zhang, Dimitris N. Metaxas:
Towards Self-supervised and Weight-preserving Neural Architecture Search. CoRR abs/2206.04125 (2022) - [i81]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. CoRR abs/2206.07163 (2022) - [i80]Zachary A. Daniels, Dimitris N. Metaxas:
A Dynamic Data Driven Approach for Explainable Scene Understanding. CoRR abs/2206.09089 (2022) - 2021
- [j137]Hui Qu, Carlos D. Minacapelli, Christopher Tait, Kapil Gupta, Abhishek Bhurwal, Carolyn Catalano, Randa Dafalla, Dimitris N. Metaxas, Vinod Rustgi:
Training of computational algorithms to predict NAFLD activity score and fibrosis stage from liver histopathology slides. Comput. Methods Programs Biomed. 207: 106153 (2021) - [j136]Hongsheng Li, Shaoting Zhang, Dimitris N. Metaxas:
Guest editorial: Deep learning for medical image analysis. Neurocomputing 438: 209-210 (2021) - [j135]Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen:
FocusNetv2: Imbalanced large and small organ segmentation with adversarial shape constraint for head and neck CT images. Medical Image Anal. 67: 101831 (2021) - [j134]Qiaoying Huang, Yikun Xian, Dong Yang, Hui Qu, Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas:
Dynamic MRI reconstruction with end-to-end motion-guided network. Medical Image Anal. 68: 101901 (2021) - [j133]Yang Qu, Xiaomin Li, Zhennan Yan, Liang Zhao, Lichi Zhang, Chang Liu, Shuaining Xie, Kang Li, Dimitris N. Metaxas, Wen Wu, Yongqiang Hao, Kerong Dai, Shaoting Zhang, Xiaofeng Tao, Songtao Ai:
Surgical planning of pelvic tumor using multi-view CNN with relation-context representation learning. Medical Image Anal. 69: 101954 (2021) - [j132]Alireza Naghizadeh, Dimitris N. Metaxas, Dongfang Liu:
Greedy auto-augmentation for n-shot learning using deep neural networks. Neural Networks 135: 68-77 (2021) - [j131]Huihui Song, Wenjie Xu, Dong Liu, Bo Liu, Qingshan Liu, Dimitris N. Metaxas:
Multi-Stage Feature Fusion Network for Video Super-Resolution. IEEE Trans. Image Process. 30: 2923-2934 (2021) - [j130]Jingru Yi, Pengxiang Wu, Hui Tang, Bo Liu, Qiaoying Huang, Hui Qu, Lianyi Han, Wei Fan, Daniel J. Hoeppner, Dimitris N. Metaxas:
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images. IEEE Trans. Medical Imaging 40(9): 2403-2414 (2021) - [j129]Wenji Wang, Qing Xia, Zhiqiang Hu, Zhennan Yan, Zhuowei Li, Yang Wu, Ning Huang, Yue Gao, Dimitris N. Metaxas, Shaoting Zhang:
Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation. IEEE Trans. Medical Imaging 40(10): 2629-2641 (2021) - [c412]Sooyeon Lee, Abraham Glasser, Becca Dingman, Zhaoyang Xia, Dimitris N. Metaxas, Carol Neidle, Matt Huenerfauth:
American Sign Language Video Anonymization to Support Online Participation of Deaf and Hard of Hearing Users. ASSETS 2021: 22:1-22:13 - [c411]Siyao Li, Shiyu Zhao, Weijiang Yu, Wenxiu Sun, Dimitris N. Metaxas, Chen Change Loy, Ziwei Liu:
Deep Animation Video Interpolation in the Wild. CVPR 2021: 6587-6595 - [c410]Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas:
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. CVPR 2021: 7261-7271 - [c409]Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu:
Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. CVPR 2021: 12793-12802 - [c408]Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas:
CrossNorm and SelfNorm for Generalization under Distribution Shifts. ICCV 2021: 52-61 - [c407]Alireza Naghizadeh, Hongye Xu, Mohab Mohamed, Dimitris N. Metaxas, Dongfang Liu:
Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images with Artificial Neural Networks. ICCV 2021: 3932-3941 - [c406]Andreas Voskou, Konstantinos P. Panousis, Dimitrios Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis:
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation. ICCV 2021: 11926-11935 - [c405]Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas:
Dual Projection Generative Adversarial Networks for Conditional Image Generation. ICCV 2021: 14418-14427 - [c404]Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, Sergey Tulyakov:
A Good Image Generator Is What You Need for High-Resolution Video Synthesis. ICLR 2021 - [c403]Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris N. Metaxas:
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training. IPMI 2021: 85-97 - [c402]Ananya Jana, Hui Qu, Carlos D. Minacapelli, Carolyn Catalano, Vinod Rustgi, Dimitris N. Metaxas:
Liver Fibrosis And NAS Scoring From CT Images Using Self-Supervised Learning And Texture Encoding. ISBI 2021: 1553-1557 - [c401]Yunhe Gao, Mu Zhou, Dimitris N. Metaxas:
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation. MICCAI (3) 2021: 61-71 - [c400]Jiahui Li, Wen Chen, Xiaodi Huang, Shuang Yang, Zhiqiang Hu, Qi Duan, Dimitris N. Metaxas, Hongsheng Li, Shaoting Zhang:
Hybrid Supervision Learning for Pathology Whole Slide Image Classification. MICCAI (8) 2021: 309-318 - [c399]Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang:
Improved Transformer for High-Resolution GANs. NeurIPS 2021: 18367-18380 - [c398]Qi Chang, Zhennan Yan, Meng Ye, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging. STACOM@MICCAI 2021: 141-150 - [c397]Di Liu, Zhennan Yan, Qi Chang, Leon Axel, Dimitris N. Metaxas:
Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation. STACOM@MICCAI 2021: 315-322 - [c396]Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors. WACV 2021: 2149-2158 - [i79]Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas:
SelfNorm and CrossNorm for Out-of-Distribution Robustness. CoRR abs/2102.02811 (2021) - [i78]Yikai Zhang, Hui Qu, Qi Chang, Huidong Liu, Dimitris N. Metaxas, Chao Chen:
Training Federated GANs with Theoretical Guarantees: A Universal Aggregation Approach. CoRR abs/2102.04655 (2021) - [i77]Harris Partaourides, Andreas Voskou, Dimitrios Kosmopoulos, Sotirios Chatzis, Dimitris N. Metaxas:
Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation. CoRR abs/2102.06143 (2021) - [i76]Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas:
DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. CoRR abs/2103.02772 (2021) - [i75]Ananya Jana, Hui Qu, Carlos D. Minacapelli, Carolyn Catalano, Vinod Rustgi, Dimitris N. Metaxas:
Liver Fibrosis and NAS scoring from CT images using self-supervised learning and texture encoding. CoRR abs/2103.03761 (2021) - [i74]Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris N. Metaxas:
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training. CoRR abs/2103.16493 (2021) - [i73]Yunhe Gao, Rui Huang, Yiwei Yang, Jie Zhang, Kainan Shao, Changjuan Tao, Yuanyuan Chen, Dimitris N. Metaxas, Hongsheng Li, Ming Chen:
FocusNetv2: Imbalanced Large and Small Organ Segmentation with Adversarial Shape Constraint for Head and Neck CT Images. CoRR abs/2104.01771 (2021) - [i72]Siyao Li, Shiyu Zhao, Weijiang Yu, Wenxiu Sun, Dimitris N. Metaxas, Chen Change Loy, Ziwei Liu:
Deep Animation Video Interpolation in the Wild. CoRR abs/2104.02495 (2021) - [i71]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. CoRR abs/2104.05215 (2021) - [i70]Yu Tian, Jian Ren, Menglei Chai, Kyle Olszewski, Xi Peng, Dimitris N. Metaxas, Sergey Tulyakov:
A Good Image Generator Is What You Need for High-Resolution Video Synthesis. CoRR abs/2104.15069 (2021) - [i69]Yuxiao Chen, Jianbo Yuan, Long Zhao, Rui Luo, Larry Davis, Dimitris N. Metaxas:
More Than Just Attention: Learning Cross-Modal Attentions with Contrastive Constraints. CoRR abs/2105.09597 (2021) - [i68]Jingru Yi, Pengxiang Wu, Hui Tang, Bo Liu, Qiaoying Huang, Hui Qu, Lianyi Han, Wei Fan, Daniel J. Hoeppner, Dimitris N. Metaxas:
Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images. CoRR abs/2106.07159 (2021) - [i67]Long Zhao, Zizhao Zhang, Ting Chen, Dimitris N. Metaxas, Han Zhang:
Improved Transformer for High-Resolution GANs. CoRR abs/2106.07631 (2021) - [i66]Yunhe Gao, Mu Zhou, Dimitris N. Metaxas:
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation. CoRR abs/2107.00781 (2021) - [i65]Jiahui Li, Wen Chen, Xiaodi Huang, Zhiqiang Hu, Qi Duan, Hongsheng Li, Dimitris N. Metaxas, Shaoting Zhang:
Mixed Supervision Learning for Whole Slide Image Classification. CoRR abs/2107.00934 (2021) - [i64]Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas:
Dual Projection Generative Adversarial Networks for Conditional Image Generation. CoRR abs/2108.09016 (2021) - [i63]Ananya Jana, Carlos D. Minacapelli, Vinod Rustgi, Dimitris N. Metaxas:
Global and Local Interpretation of black-box Machine Learning models to determine prognostic factors from early COVID-19 data. CoRR abs/2109.05087 (2021) - [i62]Andreas Voskou, Konstantinos P. Panousis, Dimitrios Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis:
Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation. CoRR abs/2109.13318 (2021) - [i61]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. CoRR abs/2109.14172 (2021) - [i60]Ligong Han, Sri Harsha Musunuri, Martin Renqiang Min, Ruijiang Gao, Yu Tian, Dimitris N. Metaxas:
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders. CoRR abs/2110.08718 (2021) - [i59]Bingyu Xin, Timothy S. Phan, Leon Axel, Dimitris N. Metaxas:
Learned Half-Quadratic Splitting Network for Magnetic Resonance Image Reconstruction. CoRR abs/2112.09760 (2021) - 2020
- [j128]Alireza Naghizadeh, Samaneh Berenjian, David J. Margolis, Dimitris N. Metaxas:
GNM: GridCell navigational model. Expert Syst. Appl. 148: 113217 (2020) - [j127]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Towards Image-to-Video Translation: A Structure-Aware Approach via Multi-stage Generative Adversarial Networks. Int. J. Comput. Vis. 128(10): 2514-2533 (2020) - [j126]Xiao-Tong Yuan, Bo Liu, Lezi Wang, Qingshan Liu, Dimitris N. Metaxas:
Dual Iterative Hard Thresholding. J. Mach. Learn. Res. 21: 152:1-152:50 (2020) - [j125]Zhiqiang Tang, Xi Peng, Kang Li, Dimitris N. Metaxas:
Towards Efficient U-Nets: A Coupled and Quantized Approach. IEEE Trans. Pattern Anal. Mach. Intell. 42(8): 2038-2050 (2020) - [j124]Alireza Naghizadeh, Mohammadsajad Abavisani, Dimitris N. Metaxas:
Greedy AutoAugment. Pattern Recognit. Lett. 138: 624-630 (2020) - [j123]Zixing Zhang, Dimitris N. Metaxas, Hung-yi Lee, Björn W. Schuller:
Guest Editorial Special Issue on Adversarial Learning in Computational Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 414-416 (2020) - [j122]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. IEEE Trans. Medical Imaging 39(11): 3655-3666 (2020) - [c395]Yikai Zhang, Hui Qu, Dimitris N. Metaxas, Chao Chen:
Local Regularizer Improves Generalization. AAAI 2020: 6861-6868 - [c394]Ligong Han, Ruijiang Gao, Mun Kim, Xin Tao, Bo Liu, Dimitris N. Metaxas:
Robust Conditional GAN from Uncertainty-Aware Pairwise Comparisons. AAAI 2020: 10909-10916 - [c393]Jingru Yi, Hui Tang, Pengxiang Wu, Bo Liu, Daniel J. Hoeppner, Dimitris N. Metaxas, Lianyi Han, Wei Fan:
Object-Guided Instance Segmentation for Biological Images. AAAI 2020: 12677-12684 - [c392]Ananya Jana, Hui Qu, Puru Rattan, Carlos D. Minacapelli, Vinod Rustgi, Dimitris N. Metaxas:
Deep Learning based NAS Score and Fibrosis Stage Prediction from CT and Pathology Data. BIBE 2020: 981-986 - [c391]Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas:
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge. CVPR 2020: 6527-6536 - [c390]Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas:
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. CVPR 2020: 11382-11392 - [c389]Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas:
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CVPR 2020: 13853-13863 - [c388]Zachary A. Daniels, Dimitris N. Metaxas:
Active Scene Classification via Dynamically Learning Prototypical Views. DDDAS 2020: 179-187 - [c387]Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas:
Learn Distributed GAN with Temporary Discriminators. ECCV (27) 2020: 175-192 - [c386]Pengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas:
Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding. ECCV Workshops (1) 2020: 298-309 - [c385]Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas:
Learning Trailer Moments in Full-Length Movies with Co-Contrastive Attention. ECCV (18) 2020: 300-316 - [c384]Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas:
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. ECCV (7) 2020: 313-329 - [c383]Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
Error-Bounded Correction of Noisy Labels. ICML 2020: 11447-11457 - [c382]Dong Yang, Qiaoying Huang, Kanski Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas:
Mri-Based Characterization of Left Ventricle Dyssynchrony with Correlation to Crt Outcomes. ISBI 2020: 1-4 - [c381]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Vertebra-Focused Landmark Detection for Scoliosis Assessment. ISBI 2020: 736-740 - [c380]Hui Qu, Jingru Yi, Qiaoying Huang, Pengxiang Wu, Dimitris N. Metaxas:
Nuclei Segmentation Using Mixed Points and Masks Selected From Uncertainty. ISBI 2020: 973-976 - [c379]Qi Chang, Zhennan Yan, Yixuan Lou, Leon Axel, Dimitris N. Metaxas:
Soft-Label Guided Semi-Supervised Learning for Bi-Ventricle Segmentation in Cardiac Cine MRI. ISBI 2020: 1752-1755 - [c378]Harris Partaourides, Andreas Voskou, Dimitrios Kosmopoulos, Sotirios Chatzis, Dimitris N. Metaxas:
Variational Bayesian Sequence-to-Sequence Networks for Memory-Efficient Sign Language Translation. ISVC (2) 2020: 251-262 - [c377]Alireza Naghizadeh, Dimitris N. Metaxas:
Condensed Silhouette: An Optimized Filtering Process for Cluster Selection in K-Means. KES 2020: 205-214 - [c376]Qiaoying Huang, Eric Z. Chen, Hanchao Yu, Yimo Guo, Terrence Chen, Dimitris N. Metaxas, Shanhui Sun:
Measure Anatomical Thickness from Cardiac MRI with Deep Neural Networks. M&Ms and EMIDEC/STACOM@MICCAI 2020: 44-55 - [c375]Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. M&Ms and EMIDEC/STACOM@MICCAI 2020: 117-126 - [c374]Zhuowei Li, Qing Xia, Wenji Wang, Zhennan Yan, Ruohan Yin, Changjie Pan, Dimitris N. Metaxas:
Segmentation to Label: Automatic Coronary Artery Labeling from Mask Parcellation. MLMI@MICCAI 2020: 130-138 - [c373]Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris N. Metaxas:
Enhanced MRI Reconstruction Network Using Neural Architecture Search. MLMI@MICCAI 2020: 634-643 - [c372]Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas:
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. NeurIPS 2020 - [c371]Mahdi Abavisani, Alireza Naghizadeh, Dimitris N. Metaxas, Vishal M. Patel:
Deep Subspace Clustering with Data Augmentation. NeurIPS 2020 - [c370]Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
A Topological Filter for Learning with Label Noise. NeurIPS 2020 - [i58]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Vertebra-Focused Landmark Detection for Scoliosis Assessment. CoRR abs/2001.03187 (2020) - [i57]Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas:
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps. CoRR abs/2003.06754 (2020) - [i56]Long Zhao, Xi Peng, Yuxiao Chen, Mubbasir Kapadia, Dimitris N. Metaxas:
Knowledge as Priors: Cross-Modal Knowledge Generalization for Datasets without Superior Knowledge. CoRR abs/2004.00176 (2020) - [i55]Qi Chang, Hui Qu, Yikai Zhang, Mert R. Sabuncu, Chao Chen, Tong Zhang, Dimitris N. Metaxas:
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data. CoRR abs/2006.00080 (2020) - [i54]Ligong Han, Anastasis Stathopoulos, Tao Xue, Dimitris N. Metaxas:
Unbiased Auxiliary Classifier GANs with MINE. CoRR abs/2006.07567 (2020) - [i53]Hui Qu, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Zhennan Yan, Kang Li, Gregory M. Riedlinger, Subhajyoti De, Shaoting Zhang, Dimitris N. Metaxas:
Weakly Supervised Deep Nuclei Segmentation Using Partial Points Annotation in Histopathology Images. CoRR abs/2007.05448 (2020) - [i52]Hui Qu, Yikai Zhang, Qi Chang, Zhennan Yan, Chao Chen, Dimitris N. Metaxas:
Learn distributed GAN with Temporary Discriminators. CoRR abs/2007.09221 (2020) - [i51]Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogério Feris, Dimitris N. Metaxas:
OnlineAugment: Online Data Augmentation with Less Domain Knowledge. CoRR abs/2007.09271 (2020) - [i50]Jingru Yi, Pengxiang Wu, Bo Liu, Qiaoying Huang, Hui Qu, Dimitris N. Metaxas:
Oriented Object Detection in Aerial Images with Box Boundary-Aware Vectors. CoRR abs/2008.07043 (2020) - [i49]Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. CoRR abs/2008.08194 (2020) - [i48]Qiaoying Huang, Dong Yang, Yikun Xian, Pengxiang Wu, Jingru Yi, Hui Qu, Dimitris N. Metaxas:
Enhanced MRI Reconstruction Network using Neural Architecture Search. CoRR abs/2008.08248 (2020) - [i47]Lezi Wang, Dong Liu, Rohit Puri, Dimitris N. Metaxas:
Learning Trailer Moments in Full-Length Movies. CoRR abs/2008.08502 (2020) - [i46]