Ziyue Xu - RankMe

145 papers A* 8A 4B 1Misc 1Journal 81Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	FeTTL: Federated Template and Task Learning for Multi-Institutional Medical Imaging. CoRR Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, Ziyue Xu, Syed Muhammad Anwar, María J. Ledesma-Carbayo, Holger R. Roth, Marius George Linguraru
2026	J	`jnl`	LUMEN: Longitudinal Multi-Modal Radiology Model for Prognosis and Diagnosis. CoRR Zhifan Jiang, Dong Yang, Vishwesh Nath, Abhijeet Parida, Nishad Kulkarni, Ziyue Xu, Daguang Xu, Syed Muhammad Anwar, Holger R. Roth, Marius George Linguraru
2026	J	`jnl`	Standardized Methods and Recommendations for Green Federated Learning. CoRR Austin Tapp, Holger R. Roth, Ziyue Xu, Abhijeet Parida, Hareem Nisar, Marius George Linguraru
2025	—	`conf`	Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. ISBI Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Yavuz Taktak, Elif Keles, Halil Ertugrul Aktas, Alpay Medetalibeyoglu, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Rajesh N. Keswani, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Michael G. Gorrins, Michael B. Wallace, Ziyue Xu, Ulas Bagci
2025	J	`jnl`	Cyst-X: AI-Powered Pancreatic Cancer Risk Prediction from Multicenter MRI in Centralized and Federated Learning. CoRR Hongyi Pan, Gorkem Durak, Elif Keles, Deniz Seyithanoglu, Zheyuan Zhang, Alpay Medetalibeyoglu, Halil Ertugrul Aktas, Andrea Mia Bejar, Ziliang Hong, Yavuz Taktak, Gulbiz Dagoglu Kartal, Sukru Mehmet Erturk, Timurhan Cebeci, Maria Jaramillo Gonzalez, Yury Velichko, Lili Zhao, Emil Agarunov, Federica Proietto Salanitri, Concetto Spampinato, Pallavi Tiwari, Ziyue Xu, Sachin Jambawalikar, Ivo G. Schoots, Marco J. Bruno, Chenchan Huang, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ulas Bagci
2025	J	`jnl`	Federated Breast Cancer Detection Enhanced by Synthetic Ultrasound Image Augmentation. CoRR Hongyi Pan, Ziliang Hong, Gorkem Durak, Ziyue Xu, Ulas Bagci
2025	—	`conf`	IPMN Risk Assessment Under Federated Learning Paradigm. ISBI Hongyi Pan, Ziliang Hong, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Yavuz Taktak, Alpay Medetalibeyoglu, Zheyuan Zhang, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ziyue Xu, Ulas Bagci
2025	A	`conf`	MAISI: Medical AI for Synthetic Imaging. WACV Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2025	—	`conf`	Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming. FLLM Ziyue Xu, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	J	`jnl`	Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming. CoRR Ziyue Xu, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	J	`jnl`	Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning. CoRR Baris Askin, Holger R. Roth, Zhenyu Sun, Carlee Joe-Wong, Gauri Joshi, Ziyue Xu
2025	—	`conf`	Secure Federated XGBoost with CUDA-Accelerated Homomorphic Encryption via NVIDIA FLARE. CAI Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	J	`jnl`	Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE. CoRR Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng
2025	J	`jnl`	Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model. CoRR Pengfei Guo, Can Zhao, Dong Yang, Yufan He, Vishwesh Nath, Ziyue Xu, Pedro R. A. S. Bassi, Zongwei Zhou, Benjamin Simon, Stephanie Anne Harmon, Baris Turkbey, Daguang Xu
2025	A*	`conf`	VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CVPR Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Stephanie A. Harmon, Benjamin Simon, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu
2025	A*	`conf`	VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging. CVPR Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu, Wenqi Li
2024	J	`jnl`	A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation. CoRR Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Daguang Xu, Wenqi Li
2024	J	`jnl`	Adaptive Aggregation Weights for Federated Segmentation of Pancreas MRI. CoRR Hongyi Pan, Gorkem Durak, Zheyuan Zhang, Yavuz Taktak, Elif Keles, Ertugrul Aktas, Alpay Medetalibeyoglu, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Rajesh N. Keswani, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Michael G. Goggins, Michael B. Wallace, Ziyue Xu, Ulas Bagci
2024	J	`jnl`	An interpretable two-branch bi-coordinate network based on multi-grained domain knowledge for classification of thyroid nodules in ultrasound images. Medical Image Anal. Mingyu Wang, Chao Chen, Ziyue Xu, Lang Xu, Weiwei Zhan, Jing Xiao, Yiqing Hou, Bingsheng Huang, Lingyun Huang, Shuo Li
2024	J	`jnl`	C-FedRAG: A Confidential Federated Retrieval-Augmented Generation System. CoRR Parker Addison, Minh-Tuan H. Nguyen, Tomislav Medan, Jinali Shah, Mohammad T. Manzari, Brendan McElrone, Laksh Lalwani, Aboli More, Smita Sharma, Holger R. Roth, Isaac Yang, Chester Chen, Daguang Xu, Yan Cheng, Andrew Feng, Ziyue Xu
2024	—	`conf`	Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. MLMI@MICCAI (2) Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth
2024	J	`jnl`	Data Alchemy: Mitigating Cross-Site Model Variability Through Test Time Data Calibration. CoRR Abhijeet Parida, Antònia Alomar, Zhifan Jiang, Pooneh Roshanitabrizi, Austin Tapp, María J. Ledesma-Carbayo, Ziyue Xu, Syed Muhammed Anwar, Marius George Linguraru, Holger R. Roth
2024	—	`conf`	Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. MIDL Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett Allan Landman, Daguang Xu, Yufan He, Vishwesh Nath
2024	J	`jnl`	Empowering Federated Learning for Massive Models with NVIDIA FLARE. CoRR Holger R. Roth, Ziyue Xu, Yuan-Ting Hsieh, Adithya Renduchintala, Isaac Yang, Zhihong Zhang, Yuhong Wen, Sean Yang, Kevin Lu, Kristopher Kersten, Camir Ricketts, Daguang Xu, Chester Chen, Yan Cheng, Andrew Feng
2024	A*	`conf`	FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. ICML Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R. Roth
2024	J	`jnl`	HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. CoRR Yucheng Tang, Yufan He, Vishwesh Nath, Pengfei Guo, Ruining Deng, Tianyuan Yao, Quan Liu, Can Cui, Mengmeng Yin, Ziyue Xu, Holger Roth, Daguang Xu, Haichun Yang, Yuankai Huo
2024	J	`jnl`	IPMN Risk Assessment under Federated Learning Paradigm. CoRR Hongyi Pan, Ziliang Hong, Gorkem Durak, Elif Keles, Halil Ertugrul Aktas, Yavuz Taktak, Alpay Medetalibeyoglu, Zheyuan Zhang, Yury Velichko, Concetto Spampinato, Ivo Schoots, Marco J. Bruno, Pallavi Tiwari, Candice W. Bolan, Tamas Gonda, Frank H. Miller, Rajesh N. Keswani, Michael B. Wallace, Ziyue Xu, Ulas Bagci
2024	A	`conf`	IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction. WACV Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao
2024	J	`jnl`	Improving Tumor Classification by Reusing Self-Predicted Segmentation of Medical Images as Guiding Knowledge. IEEE J. Biomed. Health Informatics Xiaoyi Lin, Mingyu Wang, Fei Li, Ziyue Xu, Jia Chen, Xin Chen, Chenglang Yuan, Songxiong Wu, Yanji Luo, Jingxian Shen, Shi-Ting Feng, Bingsheng Huang
2024	A	`conf`	Learning Quality Labels for Robust Image Classification. WACV Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu
2024	J	`jnl`	MAISI: Medical AI for Synthetic Imaging. CoRR Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2024	J	`jnl`	Self-supervised learning on dual-sequence magnetic resonance imaging for automatic segmentation of nasopharyngeal carcinoma. Comput. Medical Imaging Graph. Zongyou Cai, Zhangnan Zhong, Haiwei Lin, Bingsheng Huang, Ziyue Xu, Bin Huang, Wei Deng, Qiting Wu, Kaixin Lei, Jiegeng Lyu, Yufeng Ye, Hanwei Chen, Jian Zhang
2024	J	`jnl`	Supercharging Federated Learning with Flower and NVIDIA FLARE. CoRR Holger R. Roth, Daniel J. Beutel, Yan Cheng, Javier Fernández-Marqués, Heng Pan, Chester Chen, Zhihong Zhang, Yuhong Wen, Sean Yang, Isaac Yang, Yuan-Ting Hsieh, Ziyue Xu, Daguang Xu, Nicholas D. Lane, Andrew Feng
2024	J	`jnl`	VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge. CoRR Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu
2024	J	`jnl`	VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography. CoRR Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu, Wenqi Li
2023	—	`conf`	A Style Transfer-Based Augmentation Framework for Improving Segmentation and Classification Performance Across Different Sources in Ultrasound Images. MICCAI (6) Bin Huang, Ziyue Xu, Shing-Chow Chan, Zhong Liu, Huiying Wen, Chao Hou, Qicai Huang, Meiqin Jiang, Changfeng Dong, Jie Zeng, Ruhai Zou, Bingsheng Huang, Xin Chen, Shuo Li
2023	—	`conf`	Automated Segmentation of Nasopharyngeal Carcinoma Based on Dual-Sequence Magnetic Resonance Imaging Using Self-supervised Learning. CMMCA@MICCAI Zongyou Cai, Yufeng Ye, Zhangnan Zhong, Haiwei Lin, Ziyue Xu, Bin Huang, Wei Deng, Qiting Wu, Kaixin Lei, Jiegeng Lyu, Hanwei Chen, Bingsheng Huang
2023	A*	`conf`	Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. ICCV Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth
2023	J	`jnl`	Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth
2023	—	`conf`	DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation. MICCAI (3) Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu
2023	J	`jnl`	Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training. CoRR Jeya Maria Jose Valanarasu, Yucheng Tang, Dong Yang, Ziyue Xu, Can Zhao, Wenqi Li, Vishal M. Patel, Bennett A. Landman, Daguang Xu, Yufan He, Vishwesh Nath
2023	A*	`conf`	Fair Federated Medical Image Segmentation via Client Contribution Estimation. CVPR Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
2023	J	`jnl`	Fair Federated Medical Image Segmentation via Client Contribution Estimation. CoRR Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu
2023	J	`jnl`	FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. CoRR Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth
2023	J	`jnl`	NVIDIA FLARE: Federated Learning from Simulation to Real-World. IEEE Data Eng. Bull. Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng
2022	J	`jnl`	3D Lightweight Network for Simultaneous Registration and Segmentation of Organs-at-Risk in CT Images of Head and Neck Cancer. IEEE Trans. Medical Imaging Bin Huang, Yufeng Ye, Ziyue Xu, Zongyou Cai, Yan He, Zhangnan Zhong, Lingxiang Liu, Xin Chen, Hanwei Chen, Bingsheng Huang
2022	—	`conf`	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. ECCV (21) Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
2022	J	`jnl`	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation. CoRR Pengfei Guo, Dong Yang, Ali Hatamizadeh, An Xu, Ziyue Xu, Wenqi Li, Can Zhao, Daguang Xu, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Vishal M. Patel, Holger R. Roth
2022	—	`conf`	Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study. MICCAI (2) Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu
2022	A*	`conf`	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CVPR An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
2022	J	`jnl`	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. CoRR An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu
2022	—	`ed.`	Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, DART 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings DART@MICCAI Konstantinos Kamnitsas, Lisa M. Koch, Mobarakol Islam, Ziyue Xu, Manuel Jorge Cardoso, Qi Dou, Nicola Rieke, Sotirios A. Tsaftaris
2022	J	`jnl`	MONAI: An open-source framework for deep learning in healthcare. CoRR M. Jorge Cardoso, Wenqi Li, Richard Brown, Nic Ma, Eric Kerfoot, Yiheng Wang, Benjamin Murray, Andriy Myronenko, Can Zhao, Dong Yang, Vishwesh Nath, Yufan He, Ziyue Xu, Ali Hatamizadeh, Wentao Zhu, Yun Liu, Mingxin Zheng, Yucheng Tang, Isaac Yang, Michael Zephyr, Behrooz Hashemian, Sachidanand Alle, Mohammad Zalbagi Darestani, Charlie Budd, Marc Modat, Tom Vercauteren, Guotai Wang, Yiwen Li, Yipeng Hu, Yunguan Fu, Benjamin Gorman, Hans J. Johnson, Brad W. Genereaux, Barbaros S. Erdal, Vikash Gupta, Andres Diaz-Pinto, Andre Dourson, Lena Maier-Hein, Paul F. Jaeger, Michael Baumgartner, Jayashree Kalpathy-Cramer, Mona Flores, Justin S. Kirby, Lee A. D. Cooper, Holger R. Roth, Daguang Xu, David Bericat, Ralf Floca, S. Kevin Zhou, Haris Shuaib, Keyvan Farahani, Klaus H. Maier-Hein, Stephen R. Aylward, Prerna Dogra, Sébastien Ourselin, Andrew Feng
2022	—	`ed.`	Medical Optical Imaging and Virtual Microscopy Image Analysis - First International Workshop, MOVI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings MOVI@MICCAI Yuankai Huo, Bryan A. Millis, Yuyin Zhou, Xiangxue Wang, Adam P. Harrison, Ziyue Xu
2022	J	`jnl`	NVIDIA FLARE: Federated Learning from Simulation to Real-World. CoRR Holger R. Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, Yuan-Ting Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona Flores, Andrew Feng
2022	J	`jnl`	Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge. Medical Image Anal. Holger R. Roth, Ziyue Xu, Carlos Tor-Díez, Ramon Sánchez-Jacob, Jonathan Zember, Jose Molto, Wenqi Li, Sheng Xu, Baris Turkbey, Evrim Turkbey, Dong Yang, Ahmed Harouni, Nicola Rieke, Shishuai Hu, Fabian Isensee, Claire Tang, Qinji Yu, Jan Sölter, Tong Zheng, Vitali Liauchuk, Ziqi Zhou, Jan Hendrik Moltz, Bruno Oliveira, Yong Xia, Klaus H. Maier-Hein, Qikai Li, Andreas Husch, Luyang Zhang, Vassili Kovalev, Li Kang, Alessa Hering, João L. Vilaça, Mona Flores, Daguang Xu, Bradford J. Wood, Marius George Linguraru
2022	J	`jnl`	Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation. CoRR Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
2022	—	`conf`	Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation. DeCaF/FAIR@MICCAI Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu
2022	J	`jnl`	UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation. CoRR Ali Hatamizadeh, Ziyue Xu, Dong Yang, Wenqi Li, Holger Roth, Daguang Xu
2021	—	`conf`	Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. MICCAI (8) Andriy Myronenko, Ziyue Xu, Dong Yang, Holger R. Roth, Daguang Xu
2021	J	`jnl`	Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. CoRR Andriy Myronenko, Ziyue Xu, Dong Yang, Holger Roth, Daguang Xu
2021	J	`jnl`	Capsules for biomedical image segmentation. Medical Image Anal. Rodney LaLonde, Ziyue Xu, Ismail Irmakci, Sanjay Jain, Ulas Bagci
2021	—	`ed.`	Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health - Third MICCAI Workshop, DART 2021, and First MICCAI Workshop, FAIR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27 and October 1, 2021, Proceedings DART/FAIR@MICCAI Shadi Albarqouni, Manuel Jorge Cardoso, Qi Dou, Konstantinos Kamnitsas, Bishesh Khanal, Islem Rekik, Nicola Rieke, Debdoot Sheet, Sotirios A. Tsaftaris, Daguang Xu, Ziyue Xu
2021	—	`conf`	Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. MICCAI (3) Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	J	`jnl`	Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures. CoRR Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	J	`jnl`	Federated learning improves site performance in multicenter deep learning without data sharing. J. Am. Medical Informatics Assoc. Karthik V. Sarma, Stephanie A. Harmon, Thomas Sanford, Holger R. Roth, Ziyue Xu, Jesse Tetreault, Daguang Xu, Mona G. Flores, Alex G. Raman, Rushikesh Kulkarni, Bradford J. Wood, Peter L. Choyke, Alan Priester, Leonard S. Marks, Steven S. Raman, Dieter Enzmann, Baris Turkbey, William Speier, Corey W. Arnold
2021	J	`jnl`	Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan. Medical Image Anal. Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
2021	J	`jnl`	Going to Extremes: Weakly Supervised Medical Image Segmentation. Mach. Learn. Knowl. Extr. Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
2021	—	`conf`	Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. MICCAI (2) Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu
2021	J	`jnl`	Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports. CoRR Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu
2021	—	`conf`	Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. MLMI@MICCAI Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci
2021	J	`jnl`	Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. CoRR Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci
2021	J	`jnl`	Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays. CoRR Xiaosong Wang, Ziyue Xu, Leo K. Tam, Dong Yang, Daguang Xu
2021	A*	`conf`	T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. ICCV Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu
2021	J	`jnl`	T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. CoRR Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu
2020	J	`jnl`	Capsules for Biomedical Image Segmentation. CoRR Rodney LaLonde, Ziyue Xu, Sanjay Jain, Ulas Bagci
2020	—	`conf`	Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network. MIDL Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
2020	—	`ed.`	Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning - Second MICCAI Workshop, DART 2020, and First MICCAI Workshop, DCL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4-8, 2020, Proceedings DART/DCL@MICCAI Shadi Albarqouni, Spyridon Bakas, Konstantinos Kamnitsas, M. Jorge Cardoso, Bennett A. Landman, Wenqi Li, Fausto Milletari, Nicola Rieke, Holger Roth, Daguang Xu, Ziyue Xu
2020	J	`jnl`	Enhancing Foreground Boundaries for Medical Image Segmentation. CoRR Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu
2020	J	`jnl`	Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan. CoRR Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie A. Harmon, Sheng Xu, Baris Turkbey, Evrim Turkbey, Xiaosong Wang, Wentao Zhu, Gianpaolo Carrafiello, Francesca Patella, Maurizio Cariati, Hirofumi Obinata, Hitoshi Mori, Kaku Tamura, Peng An, Bradford J. Wood, Daguang Xu
2020	J	`jnl`	Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation. IEEE Trans. Medical Imaging Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
2020	J	`jnl`	Going to Extremes: Weakly Supervised Medical Image Segmentation. CoRR Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu
2020	—	`conf`	LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. MICCAI (4) Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
2020	J	`jnl`	LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation. CoRR Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu
2020	J	`jnl`	Learning Image Labels On-the-fly for Training Robust Classification Models. CoRR Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu
2020	A	`conf`	NeurReg: Neural Registration and Its Application to Image Segmentation. WACV Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
2020	J	`jnl`	Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. CoRR Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
2020	A*	`conf`	When Radiology Report Generation Meets Knowledge Graph. AAAI Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu
2020	J	`jnl`	When Radiology Report Generation Meets Knowledge Graph. CoRR Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu
2019	—	`conf`	Cardiac Segmentation of LGE MRI with Noisy Labels. STACOM@MICCAI Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
2019	J	`jnl`	Cardiac Segmentation of LGE MRI with Noisy Labels. CoRR Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu
2019	J	`jnl`	Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network. CoRR Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu
2019	—	`ed.`	Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019, Shenzhen, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings DART/MIL3ID@MICCAI Qian Wang, Fausto Milletari, Hien Van Nguyen, Shadi Albarqouni, M. Jorge Cardoso, Nicola Rieke, Ziyue Xu, Konstantinos Kamnitsas, Vishal Patel, Badri Roysam, Steve B. Jiang, S. Kevin Zhou, Khoa Luu, Ngan Le
2019	—	`conf`	Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks. GLMI@MICCAI Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu
2019	J	`jnl`	Interactive segmentation of medical images through fully convolutional neural networks. CoRR Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson
2019	J	`jnl`	NeurReg: Neural Registration and Its Application to Image Segmentation. CoRR Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu
2019	—	`conf`	Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation. MICCAI (2) Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu
2019	—	`conf`	Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features. SASHIMI@MICCAI Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu
2019	—	`conf`	Weakly Supervised Segmentation from Extreme Points. LABELS/HAL-MICCAI/CuRIOUS@MICCAI Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
2019	J	`jnl`	Weakly supervised segmentation from extreme points. CoRR Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu
2019	J	`jnl`	When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation. CoRR Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu
2018	—	`conf`	CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. MICCAI (2) Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura
2018	J	`jnl`	CT-Realistic Lung Nodule Simulation from 3D Conditional Generative Adversarial Networks for Robust Lung Segmentation. CoRR Dakai Jin, Ziyue Xu, Youbao Tang, Adam P. Harrison, Daniel J. Mollura
2018	J	`jnl`	Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura
2018	J	`jnl`	Joint solution for PET image segmentation, denoising, and partial volume correction. Medical Image Anal. Ziyue Xu, Mingchen Gao, Georgios Z. Papadakis, Brian Luna, Sanjay Jain, Daniel J. Mollura, Ulas Bagci
2018	—	`conf`	White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. ISBI Dakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura
2018	J	`jnl`	White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections. CoRR Dakai Jin, Ziyue Xu, Adam P. Harrison, Daniel J. Mollura
2017	—	`conf`	3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels. MLMI@MICCAI Dakai Jin, Ziyue Xu, Adam P. Harrison, Kevin George, Daniel J. Mollura
2017	J	`jnl`	Holistic Interstitial Lung Disease Detection using Deep Convolutional Neural Networks: Multi-label Learning and Unordered Pooling. CoRR Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
2017	—	`ch.`	Interstitial Lung Diseases via Deep Convolutional Neural Networks: Segmentation Label Propagation, Unordered Pooling and Cross-Dataset Learning. Deep Learning and Convolutional Neural Networks for Medical Image Computing Mingchen Gao, Ziyue Xu, Daniel J. Mollura
2017	—	`conf`	Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker. DLMIA/ML-CDS@MICCAI Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura
2017	J	`jnl`	Pathological Pulmonary Lobe Segmentation from CT Images using Progressive Holistically Nested Neural Networks and Random Walker. CoRR Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura
2017	J	`jnl`	Progressive and Multi-Path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. CoRR Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura
2017	—	`conf`	Progressive and Multi-path Holistically Nested Neural Networks for Pathological Lung Segmentation from CT Images. MICCAI (3) Adam P. Harrison, Ziyue Xu, Kevin George, Le Lu, Ronald M. Summers, Daniel J. Mollura
2017	—	`ch.`	Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging. Deep Learning and Convolutional Neural Networks for Medical Image Computing Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2016	J	`jnl`	Atlas-based rib-bone detection in chest X-rays. Comput. Medical Imaging Graph. Sema Candemir, Stefan Jaeger, Sameer K. Antani, Ulas Bagci, Les R. Folio, Ziyue Xu, George R. Thoma
2016	—	`conf`	Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. MICCAI (1) Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura
2016	J	`jnl`	Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features. CoRR Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura
2016	J	`jnl`	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. CoRR Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2016	J	`jnl`	Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning. IEEE Trans. Medical Imaging Hoo-Chang Shin, Holger R. Roth, Mingchen Gao, Le Lu, Ziyue Xu, Isabella Nogues, Jianhua Yao, Daniel J. Mollura, Ronald M. Summers
2016	—	`conf`	Deep vessel tracking: A generalized probabilistic approach via deep learning. ISBI Aaron Wu, Ziyue Xu, Mingchen Gao, Mario Buty, Daniel J. Mollura
2016	—	`conf`	Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. MLMI@MICCAI Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura
2016	—	`conf`	Segmentation label propagation using deep convolutional neural networks and dense conditional random field. ISBI Mingchen Gao, Ziyue Xu, Le Lu, Aaron Wu, Isabella Nogues, Ronald M. Summers, Daniel J. Mollura
2015	J	`jnl`	A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. Medical Image Anal. Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Jayaram K. Udupa, Daniel J. Mollura
2015	J	`jnl`	Correction to "A Generic Approach to Pathological Lung Segmentation". IEEE Trans. Medical Imaging Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura
2015	—	`conf`	Highly precise partial volume correction for PET images: An iterative approach via shape consistency. ISBI Ziyue Xu, Ulas Bagci, Mingchen Gao, Daniel J. Mollura
2014	J	`jnl`	A Generic Approach to Pathological Lung Segmentation. IEEE Trans. Medical Imaging Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura
2014	J	`jnl`	A review on segmentation of positron emission tomography images. Comput. Biol. Medicine Brent Foster, Ulas Bagci, Awais Mansoor, Ziyue Xu, Daniel J. Mollura
2014	—	`conf`	Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach. EMBC Ziyue Xu, Ulas Bagci, Colleen B. Jonsson, Sanjay Jain, Daniel J. Mollura
2014	J	`jnl`	CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans. CoRR Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas, Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura
2014	—	`conf`	CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans. EMBC Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas, Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura
2014	—	`conf`	Efficient ribcage segmentation from CT scans using shape features. EMBC Ziyue Xu, Ulas Bagci, Colleen B. Jonsson, Sanjay Jain, Daniel J. Mollura
2014	—	`conf`	Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation. MICCAI (1) Ziyue Xu, Ulas Bagci, Jurgen Seidel, David Thomasson, Jeffrey M. Solomon, Daniel J. Mollura
2014	J	`jnl`	Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models. IEEE Trans. Biomed. Eng. Brent Foster, Ulas Bagci, Ziyue Xu, Bappaditya Dey, Brian Luna, William Bishai, Sanjay Jain, Daniel J. Mollura
2013	—	`conf`	A hybrid multi-scale approach to automatic airway tree segmentation from CT scans. ISBI Ziyue Xu, Ulas Bagci, Brent Foster, Daniel J. Mollura
2013	J	`jnl`	Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images. Medical Image Anal. Ulas Bagci, Jayaram K. Udupa, Neil Mendhiratta, Brent Foster, Ziyue Xu, Jianhua Yao, Xinjian Chen, Daniel J. Mollura
2013	—	`conf`	Robust segmentation and accurate target definition for positron emission tomography images using Affinity Propagation. ISBI Brent Foster, Ulas Bagci, Brian Luna, Bappaditya Dey, William Bishai, Sanjay Jain, Ziyue Xu, Daniel J. Mollura
2013	—	`conf`	Spatially Constrained Random Walk Approach for Accurate Estimation of Airway Wall Surfaces. MICCAI (2) Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Daniel J. Mollura
2012	—	`conf`	Generic rebooting scheme and model-based probabilistic pruning algorithm for tree-like structure tracking. ISBI Ziyue Xu, Fei Zhao, Roshni R. Bhagalia, Bipul Das
2012	—	`conf`	Quantitative Characterization of Trabecular Bone Micro-architecture Using Tensor Scale and Multi-Detector CT Imaging. MICCAI (1) Yinxiao Liu, Punam K. Saha, Ziyue Xu
2012	—	`conf`	Tensor scale-based anisotropic region growing for segmentation of elongated biological structures. ISBI Ziyue Xu, Zhiyun Gao, Eric A. Hoffman, Punam K. Saha
2012	J	`jnl`	Tensor scale: An analytic approach with efficient computation and applications. Comput. Vis. Image Underst. Ziyue Xu, Punam K. Saha, Soura Dasgupta
2011	J	`jnl`	Improved tensor scale computation with application to medical image interpolation. Comput. Medical Imaging Graph. Ziyue Xu, Milan Sonka, Punam K. Saha
2010	Misc	`conf`	An Analytic Approach to Tensor Scale with an Efficient Algorithm and Applications to Image Filtering. DICTA Punam K. Saha, Ziyue Xu
2009	B	`conf`	Recent improvements in tensor scale computation and its applications to medical imaging. Image Processing Ziyue Xu, Milan Sonka, Punam K. Saha