Daguang Xu

According to our database, Daguang Xu authored at least 118 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Guest Editorial: Trustworthy Machine Learning for Health Informatics.

Luyang Luo, Daguang Xu, Jing Qin, Yueming Jin, Hao Chen

IEEE J. Biomed. Health Informatics, November, 2024

Federated learning as a catalyst for digital healthcare innovations.

Guang Yang, Brandon Edwards, Spyridon Bakas, Qi Dou, Daguang Xu, Xiaoxiao Li, Wanying Wang

Patterns, 2024

MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images.

Andres Diaz-Pinto, Sachidanand Alle, Vishwesh Nath, Yucheng Tang, Alvin Ihsani, Muhammad Asad, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Mona Flores, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso

Medical Image Anal., 2024

MAISI: Medical AI for Synthetic Imaging.

Pengfei Guo, Can Zhao, Dong Yang, Ziyue Xu, Vishwesh Nath, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu

CoRR, 2024

A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation.

Yufan He, Pengfei Guo, Yucheng Tang, Andriy Myronenko, Vishwesh Nath, Ziyue Xu, Dong Yang, Can Zhao, Daguang Xu, Wenqi Li

CoRR, 2024

HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization.

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

CoRR, 2024

Supercharging Federated Learning with Flower and NVIDIA FLARE.

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

CoRR, 2024

VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography.

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

CoRR, 2024

Empowering Federated Learning for Massive Models with NVIDIA FLARE.

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

CoRR, 2024

Lazy Resampling: Fast and information preserving preprocessing for deep learning.

Benjamin Murray, Richard Brown, Pengcheng Ma, Eric Kerfoot, Daguang Xu, Andrew Feng, Jorge Cardoso, Sébastien Ourselin, Marc Modat

Comput. Methods Programs Biomed., 2024

Learning Quality Labels for Robust Image Classification.

Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

IR-FRestormer: Iterative Refinement with Fourier-Based Restormer for Accelerated MRI Reconstruction.

Mohammad Zalbagi Darestani, Vishwesh Nath, Wenqi Li, Yufan He, Holger R. Roth, Ziyue Xu, Daguang Xu, Reinhard Heckel, Can Zhao

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.

Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R. Roth

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Perada: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees.

Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Fetal brain tissue annotation and segmentation challenge results.

Kelly Payette, Hongwei Bran Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Liao Weibin, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab

Medical Image Anal., August, 2023

Federated benchmarking of medical artificial intelligence with MedPerf.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Anna Wuest, Sarthak Pati, Hasan Kassem, Maximilian Zenk, Ujjwal Baid, Prakash Narayana Moorthy, Alexander Chowdhury, Junyi Guo, Sahil S. Nalawade, Jacob Rosenthal, David Kanter, Maria Xenochristou, Daniel J. Beutel, Verena Chung, Timothy Bergquist, James A. Eddy, Abubakar Abid, Lewis Tunstall, Omar Sanseviero, Dimitrios Dimitriadis, Yiming Qian, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Srini Bala, Victor Bittorf, Sreekar Reddy Puchala, Biagio Ricciuti, Soujanya Samineni, Eshna Sengupta, Akshay Chaudhari, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Xinyuan Huang, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Cassiano Ferro Moraes, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Abhishek Singh, Jayaraman J. Thiagarajan, Jacob Albrecht, Thomas Wolf, Geralyn Miller, Huazhu Fu, Prashant Shah, Daguang Xu, Poonam Yadav, David Talby, Mark M. Awad, Jeremy P. Howard, Michael Rosenthal, Luigi Marchionni, Massimo Loda, Jason M. Johnson, Spyridon Bakas, Peter Mattson

Nat. Mac. Intell., July, 2023

Do Gradient Inversion Attacks Make Federated Learning Unsafe?

Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth

IEEE Trans. Medical Imaging, 2023

The Liver Tumor Segmentation Benchmark (LiTS).

Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li, Eugene Vorontsov, Avi Ben-Cohen, Georgios Kaissis, Adi Szeskin, Colin Jacobs, Gabriel Efrain Humpire Mamani, Gabriel Chartrand, Fabian Lohöfer, Julian Walter Holch, Wieland H. Sommer, Felix Hofmann, Alexandre Hostettler, Naama Lev-Cohain, Michal Drozdzal, Michal Marianne Amitai, Refael Vivanti, Jacob Sosna, Ivan Ezhov, Anjany Sekuboyina, Fernando Navarro, Florian Kofler, Johannes C. Paetzold, Suprosanna Shit, Xiaobin Hu, Jana Lipková, Markus Rempfler, Marie Piraud, Jan Kirschke, Benedikt Wiestler, Zhiheng Zhang, Christian Hülsemeyer, Marcel Beetz, Florian Ettlinger, Michela Antonelli, Woong Bae, Miriam Bellver, Lei Bi, Hao Chen, Grzegorz Chlebus, Erik B. Dam, Qi Dou, Chi-Wing Fu, Bogdan Georgescu, Xavier Giró-i-Nieto, Felix Grün, Xu Han, Pheng-Ann Heng, Jürgen Hesser, Jan Hendrik Moltz, Christian Igel, Fabian Isensee, Paul Jäger, Fucang Jia, Krishna Chaitanya Kaluva, Mahendra Khened, Ildoo Kim, Jae-Hun Kim, Sungwoong Kim, Simon Kohl, Tomasz K. Konopczynski, Avinash Kori, Ganapathy Krishnamurthi, Fan Li, Hongchao Li, Junbo Li, Xiaomeng Li, John S. Lowengrub, Jun Ma, Klaus H. Maier-Hein, Kevis-Kokitsi Maninis, Hans Meine, Dorit Merhof, Akshay Pai, Mathias Perslev, Jens Petersen, Jordi Pont-Tuset, Jin Qi, Xiaojuan Qi, Oliver Rippel, Karsten Roth, Ignacio Sarasua, Andrea Schenk, Zengming Shen, Jordi Torres, Christian Wachinger, Chunliang Wang, Leon Weninger, Jianrong Wu, Daguang Xu, Xiaoping Yang, Simon Chun-Ho Yu, Yading Yuan, Miao Yue, Liping Zhang, Manuel Jorge Cardoso, Spyridon Bakas, Rickmer Braren, Volker Heinemann, Christopher Pal, An Tang, Samuel Kadoury, Luc Soler, Bram van Ginneken, Hayit Greenspan, Leo Joskowicz, Bjoern H. Menze

Medical Image Anal., 2023

NVIDIA FLARE: Federated Learning from Simulation to Real-World.

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

IEEE Data Eng. Bull., 2023

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models.

Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth

CoRR, 2023

Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training.

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

CoRR, 2023

Federated Virtual Learning on Heterogeneous Data with Local-global Distillation.

Chun-Yin Huang, Ruinan Jin, Can Zhao, Daguang Xu, Xiaoxiao Li

CoRR, 2023

PerAda: Parameter-Efficient and Generalizable Federated Learning Personalization with Guarantees.

Chulin Xie, De-An Huang, Wenda Chu, Daguang Xu, Chaowei Xiao, Bo Li, Anima Anandkumar

CoRR, 2023

DAST: Differentiable Architecture Search with Transformer for 3D Medical Image Segmentation.

Dong Yang, Ziyue Xu, Yufan He, Vishwesh Nath, Wenqi Li, Andriy Myronenko, Ali Hatamizadeh, Can Zhao, Holger R. Roth, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Automated 3D Segmentation of Kidneys and Tumors in MICCAI KiTS 2023 Challenge.

Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2023 Challenge, 2023

Aorta Segmentation from 3D CT in MICCAI SEG.A. 2023 Challenge.

Andriy Myronenko, Dong Yang, Yufan He, Daguang Xu

Proceedings of the Segmentation of the Aorta. Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition, 2023

SwinUNETR-V2: Stronger Swin Transformers with Stagewise Convolutions for 3D Medical Image Segmentation.

Yufan He, Vishwesh Nath, Dong Yang, Yucheng Tang, Andriy Myronenko, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples.

Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Fair Federated Medical Image Segmentation via Client Contribution Estimation.

Meirui Jiang, Holger R. Roth, Wenqi Li, Dong Yang, Can Zhao, Vishwesh Nath, Daguang Xu, Qi Dou, Ziyue Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Rapid artificial intelligence solutions in a pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge.

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

Medical Image Anal., 2022

MONAI: An open-source framework for deep learning in healthcare.

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

CoRR, 2022

Automated head and neck tumor segmentation from 3D PET/CT.

Andriy Myronenko, Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu

CoRR, 2022

Automated segmentation of intracranial hemorrhages from 3D CT.

Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko

CoRR, 2022

Automated ischemic stroke lesion segmentation from 3D MRI.

Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko

CoRR, 2022

Warm Start Active Learning with Proxy Labels & Selection via Semi-Supervised Fine-Tuning.

Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu

CoRR, 2022

Fetal Brain Tissue Annotation and Segmentation Challenge Results.

Kelly Payette, Hongwei Li, Priscille de Dumast, Roxane Licandro, Hui Ji, Md Mahfuzur Rahman Siddiquee, Daguang Xu, Andriy Myronenko, Hao Liu, Yuchen Pei, Lisheng Wang, Ying Peng, Juanying Xie, Huiquan Zhang, Guiming Dong, Hao Fu, Guotai Wang, ZunHyan Rieu, Donghyeon Kim, Hyun Gi Kim, Davood Karimi, Ali Gholipour, Helena R. Torres, Bruno Oliveira, João L. Vilaça, Yang Lin, Netanell Avisdris, Ori Ben-Zvi, Dafna Ben-Bashat, Lucas Fidon, Michael Aertsen, Tom Vercauteren, Daniel Sobotka, Georg Langs, Mireia Alenyà, Maria Inmaculada Villanueva, Oscar Camara, Bella Specktor-Fadida, Leo Joskowicz, Weibin Liao, Lv Yi, Xuesong Li, Moona Mazher, Abdul Qayyum, Domenec Puig, Hamza Kebiri, Zelin Zhang, Xinyi Xu, Dan Wu, KuanLun Liao, YiXuan Wu, JinTai Chen, Yunzhi Xu, Li Zhao, Lana Vasung, Bjoern H. Menze, Meritxell Bach Cuadra, András Jakab

CoRR, 2022

UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation.

Ali Hatamizadeh, Ziyue Xu, Dong Yang, Wenqi Li, Holger Roth, Daguang Xu

CoRR, 2022

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images.

Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sébastien Ourselin, Andrew Feng, M. Jorge Cardoso

CoRR, 2022

UNETR: Transformers for 3D Medical Image Segmentation.

Ali Hatamizadeh, Yucheng Tang, Vishwesh Nath, Dong Yang, Andriy Myronenko, Bennett A. Landman, Holger R. Roth, Daguang Xu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Clinical-Realistic Annotation for Histopathology Images with Probabilistic Semi-supervision: A Worst-Case Study.

Ziyue Xu, Andriy Myronenko, Dong Yang, Holger R. Roth, Can Zhao, Xiaosong Wang, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Automated 3D Segmentation of Renal Structures for Renal Cancer Treatment.

Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu, Andriy Myronenko

Proceedings of the Lesion Segmentation in Surgical and Diagnostic Applications, 2022

Joint Multi Organ and Tumor Segmentation from Partial Labels Using Federated Learning.

Chen Shen, Pochuan Wang, Dong Yang, Daguang Xu, Masahiro Oda, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Chiou-Shann Fuh, Kensaku Mori, Weichung Wang, Holger R. Roth

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation.

Holger R. Roth, Ali Hatamizadeh, Ziyue Xu, Can Zhao, Wenqi Li, Andriy Myronenko, Daguang Xu

Proceedings of the Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health, 2022

Warm Start Active Learning with Proxy Labels and Selection via Semi-supervised Fine-Tuning.

Vishwesh Nath, Dong Yang, Holger R. Roth, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Automated Head and Neck Tumor Segmentation from 3D PET/CT HECKTOR 2022 Challenge Report.

Andriy Myronenko, Md Mahfuzur Rahman Siddiquee, Dong Yang, Yufan He, Daguang Xu

Proceedings of the Head and Neck Tumor Segmentation and Outcome Prediction, 2022

Efficient Population Based Hyperparameter Scheduling for Medical Image Segmentation.

Yufan He, Dong Yang, Andriy Myronenko, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images.

Andres Diaz-Pinto, Pritesh Mehta, Sachidanand Alle, Muhammad Asad, Richard Brown, Vishwesh Nath, Alvin Ihsani, Michela Antonelli, Daniel Palkovics, Csaba Pinter, Ron Alkalay, Steve Pieper, Holger R. Roth, Daguang Xu, Prerna Dogra, Tom Vercauteren, Andrew Feng, Abood Quraini, Sébastien Ourselin, M. Jorge Cardoso

Proceedings of the Data Augmentation, Labelling, and Imperfections, 2022

Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation.

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

Proceedings of the Computer Vision - ECCV 2022, 2022

Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation.

An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis.

Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet.

Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

GradViT: Gradient Inversion of Vision Transformers.

Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Multi-Domain Image Completion for Random Missing Input Data.

Liyue Shen, Wentao Zhu, Xiaosong Wang, Lei Xing, John M. Pauly, Baris Turkbey, Stephanie Anne Harmon, Thomas Hogue Sanford, Sherif Mehralivand, Peter L. Choyke, Bradford J. Wood, Daguang Xu

IEEE Trans. Medical Imaging, 2021

Diminishing Uncertainty Within the Training Pool: Active Learning for Medical Image Segmentation.

Vishwesh Nath, Dong Yang, Bennett A. Landman, Daguang Xu, Holger R. Roth

IEEE Trans. Medical Imaging, 2021

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.

Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke

Medical Image Anal., 2021

Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan.

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

Medical Image Anal., 2021

Going to Extremes: Weakly Supervised Medical Image Segmentation.

Holger R. Roth, Dong Yang, Ziyue Xu, Xiaosong Wang, Daguang Xu

Mach. Learn. Knowl. Extr., 2021

Federated learning improves site performance in multicenter deep learning without data sharing.

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

J. Am. Medical Informatics Assoc., 2021

MedPerf: Open Benchmarking Platform for Medical Artificial Intelligence using Federated Evaluation.

Alexandros Karargyris, Renato Umeton, Micah J. Sheller, Alejandro Aristizabal, Johnu George, Srini Bala, Daniel J. Beutel, Victor Bittorf, Akshay Chaudhari, Alexander Chowdhury, Cody Coleman, Bala Desinghu, Gregory F. Diamos, Debo Dutta, Diane Feddema, Grigori Fursin, Junyi Guo, Xinyuan Huang, David Kanter, Satyananda Kashyap, Nicholas D. Lane, Indranil Mallick, Pietro Mascagni, Virendra Mehta, Vivek Natarajan, Nikola Nikolov, Nicolas Padoy, Gennady Pekhimenko, Vijay Janapa Reddi, G. Anthony Reina, Pablo Ribalta, Jacob Rosenthal, Abhishek Singh, Jayaraman J. Thiagarajan, Anna Wuest, Maria Xenochristou, Daguang Xu, Poonam Yadav, Michael Rosenthal, Massimo Loda, Jason M. Johnson, Peter Mattson

CoRR, 2021

The Medical Segmentation Decathlon.

Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso

CoRR, 2021

Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation.

Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie A. Harmon, Evrim Turkbey, Baris Turkbey, Bradford J. Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan L. Yuille, Holger Roth

CoRR, 2021

Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays.

Xiaosong Wang, Ziyue Xu, Leo K. Tam, Dong Yang, Daguang Xu

CoRR, 2021

UNETR: Transformers for 3D Medical Image Segmentation.

Ali Hatamizadeh, Dong Yang, Holger Roth, Daguang Xu

CoRR, 2021

Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures.

Holger R. Roth, Dong Yang, Wenqi Li, Andriy Myronenko, Wentao Zhu, Ziyue Xu, Xiaosong Wang, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

The Power of Proxy Data and Proxy Networks for Hyper-parameter Optimization in Medical Image Segmentation.

Vishwesh Nath, Dong Yang, Ali Hatamizadeh, Anas A. Abidin, Andriy Myronenko, Holger R. Roth, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging.

Andriy Myronenko, Ziyue Xu, Dong Yang, Holger R. Roth, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Improving Pneumonia Localization via Cross-Attention on Medical Images and Reports.

Riddhish Bhalodia, Ali Hatamizadeh, Leo K. Tam, Ziyue Xu, Xiaosong Wang, Evrim Turkbey, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Test-Time Training for Deformable Multi-Scale Image Registration.

Wentao Zhu, Yufang Huang, Daguang Xu, Zhen Qian, Wei Fan, Xiaohui Xie

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging.

Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation.

Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Multi-task Federated Learning for Heterogeneous Pancreas Segmentation.

Chen Shen, Pochuan Wang, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Weichung Wang, Chiou-Shann Fuh, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Kensaku Mori

Proceedings of the Clinical Image-Based Procedures, Distributed and Collaborative Learning, Artificial Intelligence for Combating COVID-19 and Secure and Privacy-Preserving Machine Learning, 2021

Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images.

Ali Hatamizadeh, Vishwesh Nath, Yucheng Tang, Dong Yang, Holger R. Roth, Daguang Xu

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformation.

Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Bradford J. Wood, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu

IEEE Trans. Medical Imaging, 2020

The future of digital health with federated learning.

Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletarì, Holger R. Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett A. Landman, Klaus H. Maier-Hein, Sébastien Ourselin, Micah J. Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso

npj Digit. Medicine, 2020

Uncertainty-aware multi-view co-training for semi-supervised medical image segmentation and domain adaptation.

Yingda Xia, Dong Yang, Zhiding Yu, Fengze Liu, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth

Medical Image Anal., 2020

Deep hiearchical multi-label classification applied to chest X-ray abnormality taxonomies.

Haomin Chen, Shun Miao, Daguang Xu, Gregory D. Hager, Adam P. Harrison

Medical Image Anal., 2020

Transformer Query-Target Knowledge Discovery (TEND): Drug Discovery from CORD-19.

Leo K. Tam, Xiaosong Wang, Daguang Xu

CoRR, 2020

Democratizing Artificial Intelligence in Healthcare: A Study of Model Development Across Two Institutions Incorporating Transfer Learning.

Vikash Gupta, Holger Roth, Varun Buch, Marcio Aloisio Bezerra Cavalcanti Rockenbach, Richard D. White, Dong Yang, Olga Laur, Brian B. Ghoshhajra, Ittai Dayan, Daguang Xu, Mona G. Flores, Barbaros Selnur Erdal

CoRR, 2020

Learning Image Labels On-the-fly for Training Robust Classification Models.

Xiaosong Wang, Ziyue Xu, Dong Yang, Leo K. Tam, Holger Roth, Daguang Xu

CoRR, 2020

Enhancing Foreground Boundaries for Medical Image Segmentation.

Dong Yang, Holger Roth, Xiaosong Wang, Ziyue Xu, Andriy Myronenko, Daguang Xu

CoRR, 2020

VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images.

Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke

CoRR, 2020

NeurReg: Neural Registration and Its Application to Image Segmentation.

Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training.

Yingda Xia, Fengze Liu, Dong Yang, Jinzheng Cai, Lequan Yu, Zhuotun Zhu, Daguang Xu, Alan L. Yuille, Holger Roth

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Correlation via Synthesis: End-to-end Image Generation and Radiogenomic Learning Based on Generative Adversarial Network.

Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation.

Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automated Pancreas Segmentation Using Multi-institutional Collaborative Deep Learning.

Pochuan Wang, Chen Shen, Holger R. Roth, Dong Yang, Daguang Xu, Masahiro Oda, Kazunari Misawa, Po-Ting Chen, Kao-Lang Liu, Wei-Chih Liao, Weichung Wang, Kensaku Mori

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Weakly Supervised One-Stage Vision and Language Disease Detection Using Large Scale Pneumonia and Pneumothorax Studies.

Leo K. Tam, Xiaosong Wang, Evrim Turkbey, Kevin Lu, Yuhong Wen, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Federated Learning for Breast Density Classification: A Real-World Implementation.

Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation.

Qihang Yu, Dong Yang, Holger Roth, Yutong Bai, Yixiao Zhang, Alan L. Yuille, Daguang Xu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

When Radiology Report Generation Meets Knowledge Graph.

Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan L. Yuille, Daguang Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Correlation via synthesis: end-to-end nodule image generation and radiogenomic map learning based on generative adversarial network.

Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Dong Yang, Holger Roth, Fausto Milletari, Ling Zhang, Daguang Xu

CoRR, 2019

Neural Multi-Scale Self-Supervised Registration for Echocardiogram Dense Tracking.

Wentao Zhu, Yufang Huang, Mani A. Vannan, Shizhen Liu, Daguang Xu, Wei Fan, Zhen Qian, Xiaohui Xie

CoRR, 2019

When Unseen Domain Generalization is Unnecessary? Rethinking Data Augmentation.

Ling Zhang, Xiaosong Wang, Dong Yang, Thomas Sanford, Stephanie A. Harmon, Baris Turkbey, Holger Roth, Andriy Myronenko, Daguang Xu, Ziyue Xu

CoRR, 2019

Interactive segmentation of medical images through fully convolutional neural networks.

Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson

CoRR, 2019

Combo loss: Handling input and output imbalance in multi-organ segmentation.

Saeid Asgari Taghanaki, Yefeng Zheng, Shaohua Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh

Comput. Medical Imaging Graph., 2019

Deep Hierarchical Multi-label Classification of Chest X-ray Images.

Haomin Chen, Shun Miao, Daguang Xu, Gregory D. Hager, Adam P. Harrison

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Integrating 3D Geometry of Organ for Improving Medical Image Segmentation.

Jiawen Yao, Jinzheng Cai, Dong Yang, Daguang Xu, Junzhou Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Searching Learning Strategy with Reinforcement Learning for 3D Medical Image Segmentation.

Dong Yang, Holger Roth, Ziyue Xu, Fausto Milletari, Ling Zhang, Daguang Xu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Tunable CT Lung Nodule Synthesis Conditioned on Background Image and Semantic Features.

Ziyue Xu, Xiaosong Wang, Hoo-Chang Shin, Holger Roth, Dong Yang, Fausto Milletari, Ling Zhang, Daguang Xu

Proceedings of the Simulation and Synthesis in Medical Imaging, 2019

Interactive 3D Segmentation Editing and Refinement via Gated Graph Neural Networks.

Xiaosong Wang, Ling Zhang, Holger Roth, Daguang Xu, Ziyue Xu

Proceedings of the Graph Learning in Medical Imaging - First International Workshop, 2019

Weakly Supervised Segmentation from Extreme Points.

Holger Roth, Ling Zhang, Dong Yang, Fausto Milletari, Ziyue Xu, Xiaosong Wang, Daguang Xu

Proceedings of the Large-Scale Annotation of Biomedical Data and Expert Label Synthesis and Hardware Aware Learning for Medical Imaging and Computer Assisted Intervention, 2019

Cardiac Segmentation of LGE MRI with Noisy Labels.

Holger Roth, Wentao Zhu, Dong Yang, Ziyue Xu, Daguang Xu

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

4D CNN for Semantic Segmentation of Cardiac Volumetric Sequences.

Andriy Myronenko, Dong Yang, Varun Buch, Daguang Xu, Alvin Ihsani, Sean Doyle, Mark Michalski, Neil A. Tenenholtz, Holger Roth

Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019

Privacy-Preserving Federated Brain Tumour Segmentation.

Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation.

Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

An Alarm System for Segmentation Algorithm Based on Shape Model.

Fengze Liu, Yingda Xia, Dong Yang, Alan L. Yuille, Daguang Xu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation.

Zhuotun Zhu, Chenxi Liu, Dong Yang, Alan L. Yuille, Daguang Xu

Proceedings of the 2019 International Conference on 3D Vision, 2019

Automatic Vertebra Labeling in Large-Scale Medical Images Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.

Dong Yang, Tao Xiong, Daguang Xu

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images.

Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Sasa Grbic, Weidong Cai, Dorin Comaniciu

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019

2018

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes.

Siqi Liu, Daguang Xu, Shaohua Kevin Zhou, Olivier Pauly, Sasa Grbic, Thomas Mertelmeier, Julia Wicklein, Anna K. Jerebko, Weidong Cai, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Deep Learning Based Automatic Segmentation of Pathological Kidney in CT: Local Versus Global Image Context.

Yefeng Zheng, David Liu, Bogdan Georgescu, Daguang Xu, Dorin Comaniciu

Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network.

Dong Yang, Daguang Xu, Shaohua Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris N. Metaxas, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep Image-to-Image Recurrent Network with Shape Basis Learning for Automatic Vertebra Labeling in Large-Scale 3D CT Volumes.

Dong Yang, Tao Xiong, Daguang Xu, Shaohua Kevin Zhou, Zhoubing Xu, Mingqing Chen, Jin Hyeong Park, Sasa Grbic, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Supervised Action Classifier: Approaching Landmark Detection as Image Partitioning.

Zhoubing Xu, Qiangui Huang, Jin Hyeong Park, Mingqing Chen, Daguang Xu, Dong Yang, David Liu, Shaohua Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Automatic Vertebra Labeling in Large-Scale 3D CT Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization.

Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, Shaohua Kevin Zhou, Zhoubing Xu, Jin Hyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris N. Metaxas, Dorin Comaniciu

Proceedings of the Information Processing in Medical Imaging, 2017

2016

Robust 3D Organ Localization with Dual Learning Architectures and Fusion.

Xiaoguang Lu, Daguang Xu, David Liu

Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

2013

Learning to translate with products of novices: a suite of open-ended challenge problems for teaching MT.

Adam Lopez, Matt Post, Chris Callison-Burch, Jonathan Weese, Juri Ganitkevitch, Narges Ahmidi, Olivia Buzek, Leah Hanson, Beaniesh Jamil, Matthias A. Lee, Ya-Ting Lin, Henry Pao, Fatima Rivera, Leili Shahriyari, Debu Sinha, Adam R. Teichert, Stephen Wampler, Michael Weinberger, Daguang Xu, Lin Yang, Shang Zhao

Trans. Assoc. Comput. Linguistics, 2013

2011

Description of the JHU System Combination Scheme for WMT 2011.

Daguang Xu, Yuan Cao, Damianos G. Karakos

Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011