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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
[j138]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)- 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) - [c406]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 - [c405]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 - [c404]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 - [c403]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 - [c402]Yunhe Gao, Zhiqiang Tang, Mu Zhou, Dimitris N. Metaxas:
Enabling Data Diversity: Efficient Automatic Augmentation via Regularized Adversarial Training. IPMI 2021: 85-97 - [c401]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 - [c400]Yunhe Gao, Mu Zhou, Dimitris N. Metaxas:
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation. MICCAI (3) 2021: 61-71 - [c399]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 - [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]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. CoRR abs/2008.11109 (2020) - [i45]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. CoRR abs/2009.10687 (2020) - [i44]Long Zhao, Ting Liu, Xi Peng, Dimitris N. Metaxas:
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness. CoRR abs/2010.08001 (2020) - [i43]Songzhu Zheng, Pengxiang Wu, Aman Goswami, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
Error-Bounded Correction of Noisy Labels. CoRR abs/2011.10077 (2020) - [i42]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. CoRR abs/2012.01405 (2020) - [i41]Pengxiang Wu, Songzhu Zheng, Mayank Goswami, Dimitris N. Metaxas, Chao Chen:
A Topological Filter for Learning with Label Noise. CoRR abs/2012.04835 (2020) - [i40]Qi Chang, Zhennan Yan, Lohendran Baskaran, Hui Qu, Yikai Zhang, Tong Zhang, Shaoting Zhang, Dimitris N. Metaxas:
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information. CoRR abs/2012.08604 (2020)
2010 – 2019
- 2019
- [j121]Long Zhao, Fangda Han, Xi Peng, Xun Zhang, Mubbasir Kapadia, Vladimir Pavlovic, Dimitris N. Metaxas:
Cartoonish sketch-based face editing in videos using identity deformation transfer. Comput. Graph. 79: 58-68 (2019) - [j120]Jingru Yi, Pengxiang Wu, Dimitris N. Metaxas:
ASSD: Attentive single shot multibox detector. Comput. Vis. Image Underst. 189 (2019) - [j119]Lezi Wang, Xiang Yu, Thirimachos Bourlai, Dimitris N. Metaxas:
A coupled encoder-decoder network for joint face detection and landmark localization. Image Vis. Comput. 87: 37-46 (2019) - [j118]Jingru Yi, Pengxiang Wu, Menglin Jiang, Qiaoying Huang, Daniel J. Hoeppner, Dimitris N. Metaxas:
Attentive neural cell instance segmentation. Medical Image Anal. 55: 228-240 (2019) - [j117]Han Zhang, Tao Xu, Hongsheng Li, Shaoting Zhang, Xiaogang Wang, Xiaolei Huang, Dimitris N. Metaxas:
StackGAN++: Realistic Image Synthesis with Stacked Generative Adversarial Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41(8): 1947-1962 (2019) - [j116]Rahil Mehrizi, Xi Peng, Dimitris N. Metaxas, Xu Xu, Shaoting Zhang, Kang Li:
Predicting 3-D Lower Back Joint Load in Lifting: A Deep Pose Estimation Approach. IEEE Trans. Hum. Mach. Syst. 49(1): 85-94 (2019) - [c369]Pengxiang Wu, Chao Chen, Jingru Yi, Dimitris N. Metaxas:
Point Cloud Processing via Recurrent Set Encoding. AAAI 2019: 5441-5449 - [c368]Bo Liu, Xiao-Tong Yuan, Lezi Wang, Qingshan Liu, Junzhou Huang, Dimitris N. Metaxas:
Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning. AISTATS 2019: 343-352 - [c367]Yuxiao Chen, Long Zhao, Xi Peng, Jianbo Yuan, Dimitris N. Metaxas:
Construct Dynamic Graphs for Hand Gesture Recognition via Spatial-Temporal Attention. BMVC 2019: 103 - [c366]Lezi Wang, Chongyang Bai, Maksim Bolonkin, Judee K. Burgoon, Norah E. Dunbar, V. S. Subrahmanian, Dimitris N. Metaxas:
Attention-based Facial Behavior Analytics inSocial Communication. BMVC 2019: 271 - [c365]Ligong Han, Yang Zou, Ruijiang Gao, Lezi Wang, Dimitris N. Metaxas:
Unsupervised Domain Adaptation via Calibrating Uncertainties. CVPR Workshops 2019: 99-102 - [c364]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Online Neural Cell Tracking Using Blob-Seed Segmentation and Optical Flow. CVPR Workshops 2019: 1057-1064 - [c363]Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas:
Semantic Graph Convolutional Networks for 3D Human Pose Regression. CVPR 2019: 3425-3435 - [c362]Qiaoying Huang, Dong Yang, Jingru Yi, Leon Axel, Dimitris N. Metaxas:
FR-Net: Joint Reconstruction and Segmentation in Compressed Sensing Cardiac MRI. FIMH 2019: 352-360 - [c361]Lezi Wang, Ziyan Wu, Srikrishna Karanam, Kuan-Chuan Peng, Rajat Vikram Singh, Bo Liu, Dimitris N. Metaxas:
Sharpen Focus: Learning With Attention Separability and Consistency. ICCV 2019: 512-521 - [c360]Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas:
AdaTransform: Adaptive Data Transformation. ICCV 2019: 2998-3006 - [c359]Han Zhang, Ian J. Goodfellow, Dimitris N. Metaxas, Augustus Odena:
Self-Attention Generative Adversarial Networks. ICML 2019: 7354-7363 - [c358]Xudong Zhang, Pengxiang Wu, Changhe Yuan, Yusu Wang, Dimitris N. Metaxas, Chao Chen:
Heuristic Search for Homology Localization Problem and Its Application in Cardiac Trabeculae Reconstruction. IJCAI 2019: 1312-1318 - [c357]Yikai Zhang, Hui Qu, Chao Chen, Dimitris N. Metaxas:
Taming the Noisy Gradient: Train Deep Neural Networks with Small Batch Sizes. IJCAI 2019: 4348-4354 - [c356]Zhongyu Li, Yixuan Lou, Zhennan Yan, Subhi Al'Aref, James K. Min, Leon Axel, Dimitris N. Metaxas:
Fully Automatic Segmentation Of Short-Axis Cardiac MRI Using Modified Deep Layer Aggregation. ISBI 2019: 793-797 - [c355]Hui Qu, Gregory M. Riedlinger, Pengxiang Wu, Qiaoying Huang, Jingru Yi, Subhajyoti De, Dimitris N. Metaxas:
Joint Segmentation and Fine-Grained Classification of Nuclei in Histopathology Images. ISBI 2019: 900-904 - [c354]Jingru Yi, Pengxiang Wu, Qiaoying Huang, Hui Qu, Daniel J. Hoeppner, Dimitris N. Metaxas:
Context-Refined Neural Cell Instance Segmentation. ISBI 2019: 1028-1032 - [c353]Zachary A. Daniels, Dimitris N. Metaxas:
Exploiting Visual and Report-Based Information for Chest X-RAY Analysis by Jointly Learning Visual Classifiers and Topic Models. ISBI 2019: 1270-1274 - [c352]Qiaoying Huang, Dong Yang, Pengxiang Wu, Hui Qu, Jingru Yi, Dimitris N. Metaxas:
MRI Reconstruction Via Cascaded Channel-Wise Attention Network. ISBI 2019: 1622-1626 - [c351]Pengxiang Wu, Hui Qu, Jingru Yi, Qiaoying Huang, Chao Chen, Dimitris N. Metaxas:
Deep Attentive Feature Learning for Histopathology Image Classification.