Wenqi Li

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All published works

Action	Title	Year	Authors
+ PDF Chat	VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge	2024	Vishwesh Nath Wenqi Li Dong Yang Andriy Myronenko Mingxin Zheng Yao Lu Zhijian Liu Hongxu Yin Y.M. Law Yucheng Tang
+ PDF Chat	A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation	2024	Yufan He Pengfei Guo Yucheng Tang Andriy Myronenko Vishwesh Nath Ziyue Xu Dong Yang Can Zhao Daguang Xu Wenqi Li
+ PDF Chat	VISTA3D: Versatile Imaging SegmenTation and Annotation model for 3D Computed Tomography	2024	Yufan He Pengfei Guo Yucheng Tang Andriy Myronenko Vishwesh Nath Ziyue Xu Dong Yang Can Zhao Benjamin Simon Mason J. Belue
+ PDF Chat	MONAI Label: A framework for AI-assisted interactive labeling of 3D medical images	2024	Andrés Diaz-Pinto Sachidanand Alle Vishwesh Nath Yucheng Tang Alvin Ihsani Muhammad Asad Fernando Pérez‐García Pritesh Mehta Wenqi Li Mona G. Flores
+ PDF Chat	Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples	2023	Jingwei Sun Ziyue Xu Dong Yang Vishwesh Nath Wenqi Li Can Zhao Daguang Xu Yiran Chen Holger R. Roth
+ PDF Chat	Fair Federated Medical Image Segmentation via Client Contribution Estimation	2023	Meirui Jiang Holger R. Roth Wenqi Li Dong Yang Can Zhao Vishwesh Nath Daguang Xu Qi Dou Ziyue Xu
+ PDF Chat	Do Gradient Inversion Attacks Make Federated Learning Unsafe?	2023	Ali Hatamizadeh Hongxu Yin Pavlo Molchanov Andriy Myronenko Wenqi Li Prerna Dogra Andrew Feng Mona G. Flores Jan Kautz Daguang Xu
+	Fair Federated Medical Image Segmentation via Client Contribution Estimation	2023	Meirui Jiang Holger R. Roth Wenqi Li Dong Yang Can Zhao Vishwesh Nath Daguang Xu Qi Dou Ziyue Xu
+	Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples	2023	Jingwei Sun Ziyue Xu Dong Yang Vishwesh Nath Wenqi Li Can Zhao Daguang Xu Yiran Chen Holger R. Roth
+	Disruptive Autoencoders: Leveraging Low-level features for 3D Medical Image Pre-training	2023	Jeya Maria Jose Valanarasu Yucheng Tang Dong Yang Ziyue Xu Can Zhao Wenqi Li Vishal M. Patel Bennett A. Landman Daguang Xu Yufan He
+ PDF Chat	Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis	2022	Yucheng Tang Dong Yang Wenqi Li Holger R. Roth Bennett A. Landman Daguang Xu Vishwesh Nath Ali Hatamizadeh
+ PDF Chat	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation	2022	An Xu Wenqi Li Pengfei Guo Dong Yang Holger R. Roth Ali Hatamizadeh Can Zhao Daguang Xu Heng Huang Ziyue Xu
+ PDF Chat	GradViT: Gradient Inversion of Vision Transformers	2022	Ali Hatamizadeh Hongxu Yin Holger R. Roth Wenqi Li Jan Kautz Daguang Xu Pavlo Molchanov
+ PDF Chat	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation	2022	Pengfei Guo Dong Yang Ali Hatamizadeh An Xu Ziyue Xu Wenqi Li Can Zhao Daguang Xu Stephanie A. Harmon Evrim Türkbey
+	Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation	2022	An Xu Wenqi Li Pengfei Guo Dong Yang Holger R. Roth Ali Hatamizadeh Can Zhao Daguang Xu Heng Huang Ziyue Xu
+	Do Gradient Inversion Attacks Make Federated Learning Unsafe?	2022	Ali Hatamizadeh Hongxu Yin Pavlo Molchanov Andriy Myronenko Wenqi Li Prerna Dogra Andrew Feng Mona G. Flores Jan Kautz Daguang Xu
+	GradViT: Gradient Inversion of Vision Transformers	2022	Ali Hatamizadeh Hongxu Yin Holger R. Roth Wenqi Li Jan Kautz Daguang Xu Pavlo Molchanov
+	MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images	2022	Andrés Diaz-Pinto Sachidanand Alle Vishwesh Nath Yucheng Tang Alvin Ihsani Muhammad Asad Fernando Pérez‐García Pritesh Mehta Wenqi Li Mona G. Flores
+	UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation	2022	Ali Hatamizadeh Ziyue Xu Dong Yang Wenqi Li Holger R. Roth Daguang Xu
+	Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation	2022	Pengfei Guo Dong Yang Ali Hatamizadeh An Xu Ziyue Xu Wenqi Li Can Zhao Daguang Xu Stephanie A. Harmon Evrim Türkbey
+	NVIDIA FLARE: Federated Learning from Simulation to Real-World	2022	Holger R. Roth Yan Cheng Yuhong Wen Isaac Yang Ziyue Xu Yuan-Ting Hsieh Kristopher Kersten Ahmed Harouni Can Zhao Kevin Lü
+	MONAI: An open-source framework for deep learning in healthcare	2022	M. Jorge Cardoso Wenqi Li Richard Brown Nic Ma Eric Kerfoot Yiheng Wang Benjamin Murrey Andriy Myronenko Can Zhao Dong Yang
+ PDF Chat	Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-modal Brain Tumor Segmentation	2022	Holger R. Roth Ali Hatamizadeh Ziyue Xu Can Zhao Wenqi Li Andriy Myronenko Daguang Xu
+	Split-U-Net: Preventing Data Leakage in Split Learning for Collaborative Multi-Modal Brain Tumor Segmentation	2022	Holger R. Roth Ali Hatamizadeh Ziyue Xu Can Zhao Wenqi Li Andriy Myronenko Daguang Xu
+	Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan	2021	Dong Yang Ziyue Xu Wenqi Li Andriy Myronenko Holger R. Roth Stephanie Harmon Sheng Xu Barış Türkbey Evrim Türkbey Xiaosong Wang
+	Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation	2021	Jingkun Chen Wenqi Li Hongwei Li Jianguo Zhang
+	Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation	2021	Yingda Xia Dong Yang Wenqi Li Andriy Myronenko Daguang Xu Hirofumi Obinata Hitoshi Mori Peng An Stephanie A. Harmon Evrim Türkbey
+	Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures	2021	Holger R. Roth Dong Yang Wenqi Li Andriy Myronenko Wentao Zhu Ziyue Xu Xiaosong Wang Daguang Xu
+ PDF Chat	Federated Whole Prostate Segmentation in MRI with Personalized Neural Architectures	2021	Holger R. Roth Dong Yang Wenqi Li Andriy Myronenko Wentao Zhu Ziyue Xu Xiaosong Wang Daguang Xu
+	Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets	2020	Reuben Dorent Thomas C. Booth Wenqi Li Carole H. Sudre Sina Kafiabadi M. Jorge Cardoso Sébastien Ourselin Tom Vercauteren
+ PDF Chat	The future of digital health with federated learning	2020	Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletarì Holger R. Roth Shadi Albarqouni Spyridon Bakas Mathieu Galtier Bennett A. Landman Klaus H. Maier‐Hein
+ PDF Chat	NeurReg: Neural Registration and Its Application to Image Segmentation	2020	Wentao Zhu Andriy Myronenko Ziyue Xu Wenqi Li Holger R. Roth Yufang Huang Fausto Milletarì Daguang Xu
+	Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA	2020	Xianpei Han Zhichun Wang Jiangtao Zhang Qinghua Wen Wenqi Li Buzhou Tang Qi Wang Zhifan Feng Yang Zhang Yajuan Lü
+	LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation	2020	Wentao Zhu Can Zhao Wenqi Li Holger R. Roth Ziyue Xu Daguang Xu
+ PDF Chat	Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation	2020	Jingkun Chen Wenqi Li Hongwei Li Jianguo Zhang
+ PDF Chat	LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation	2020	Wentao Zhu Can Zhao Wenqi Li Holger R. Roth Ziyue Xu Daguang Xu
+ PDF Chat	Federated Learning for Breast Density Classification: A Real-World Implementation	2020	Holger R. Roth Ken Chang Praveer Singh Nir Neumark Wenqi Li Vikash Gupta Sharut Gupta Liangqiong Qu Alvin Ihsani Bernardo C. Bizzo
+	Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan	2020	Dong Yang Ziyue Xu Wenqi Li Andriy Myronenko Holger R. Roth Stephanie A. Harmon Sheng Xu Barış Türkbey Evrim Türkbey Xiaosong Wang
+	Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets	2019	Reuben Dorent Wenqi Li Jinendra Ekanayake Sébastien Ourselin Tom Vercauteren
+	2017 Robotic Instrument Segmentation Challenge.	2019	Max Allan Alexey A. Shvets Thomas Kurmann Zichen Zhang Rahul Duggal Yun-Hsuan Su Nicola Rieke Iro Laina Niveditha Kalavakonda Sebastian Bodenstedt
+	Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks	2019	Guotai Wang Wenqi Li Michaël Aertsen Jan Deprest Sébastien Ourselin Tom Vercauteren
+ PDF Chat	Automatic Brain Tumor Segmentation Using Convolutional Neural Networks with Test-Time Augmentation	2019	Guotai Wang Wenqi Li Sébastien Ourselin Tom Vercauteren
+	Privacy-preserving Federated Brain Tumour Segmentation	2019	Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox Wentao Zhu Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso
+	NeurReg: Neural Registration and Its Application to Image Segmentation	2019	Wentao Zhu Andriy Myronenko Ziyue Xu Wenqi Li Holger R. Roth Yufang Huang Fausto Milletarì Daguang Xu
+ PDF Chat	Privacy-Preserving Federated Brain Tumour Segmentation	2019	Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox Wentao Zhu Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso
+ PDF Chat	Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss	2019	Guotai Wang Jonathan Shapey Wenqi Li Reuben Dorent Alexis Dimitriadis Sotirios Bisdas Ian Paddick Robert Bradford Shaoting Zhang Sébastien Ourselin
+	Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets	2019	Reuben Dorent Wenqi Li Jinendra Ekanayake Sébastien Ourselin Tom Vercauteren
+	Deep Boosted Regression for MR to CT Synthesis	2018	Kerstin Kläser Paweł Markiewicz Marta Ranzini Wenqi Li Marc Modat Brian F. Hutton David Atkinson Kris Thielemans M. Jorge Cardoso Sébastien Ourselin
+	Weakly-supervised convolutional neural networks for multimodal image registration	2018	Yipeng Hu Marc Modat Eli Gibson Wenqi Li Nooshin Ghavami Ester Bonmati Guotai Wang Steven Bandula Caroline M. Moore Mark Emberton
+ PDF Chat	DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation	2018	Guotai Wang María A. Zuluaga Wenqi Li Rosalind Pratt Premal A. Patel Michaël Aertsen Tom Doel Anna L. David Jan Deprest Sébastien Ourselin
+	Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia.	2018	Luis C. García-Peraza-Herrera Martin Everson Wenqi Li Inmanol Luengo Lorenz Berger Omer F. Ahmad Laurence Lovat Hsiu‐Po Wang Wen‐Lun Wang Rehan Haidry
+	NiftyNet: a deep-learning platform for medical imaging	2018	Eli Gibson Wenqi Li Carole H. Sudre Lucas Fidon Dzhoshkun I. Shakir Guotai Wang Zach Eaton-Rosen Robert Gray Tom Doel Yipeng Hu
+	Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning	2018	Guotai Wang Wenqi Li María A. Zuluaga Rosalind Pratt Premal A. Patel Michaël Aertsen Tom Doel Anna L. David Jan Deprest Sébastien Ourselin
+ PDF Chat	Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks	2018	Guotai Wang Wenqi Li Sébastien Ourselin Tom Vercauteren
+ PDF Chat	Deep Boosted Regression for MR to CT Synthesis	2018	Kerstin Kläser Paweł Markiewicz Marta Ranzini Wenqi Li Marc Modat Brian F. Hutton David Atkinson Kris Thielemans M. Jorge Cardoso Sébastien Ourselin
+ PDF Chat	Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks	2018	Lucas Fidon Wenqi Li Luis C. García-Peraza-Herrera Jinendra Ekanayake Neil Kitchen Sébastien Ourselin Tom Vercauteren
+ PDF Chat	Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning	2018	Felix Bragman Ryutaro Tanno Zach Eaton-Rosen Wenqi Li David J. Hawkes Sébastien Ourselin Daniel C. Alexander Jamie R. McClelland M. Jorge Cardoso
+	Deep Boosted Regression for MR to CT Synthesis	2018	Kerstin Kläser Paweł Markiewicz Marta Ranzini Wenqi Li Marc Modat Brian Hutton David Atkinson Kris Thielemans M. Jorge Cardoso Sébastien Ourselin
+	Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia	2018	Luis C. García-Peraza-Herrera Martin Everson Wenqi Li Inmanol Luengo Lorenz Berger Omer F. Ahmad Laurence Lovat Hsiu‐Po Wang Wen‐Lun Wang Rehan Haidry
+ PDF Chat	ToolNet: Holistically-nested real-time segmentation of robotic surgical tools	2017	Luis C. García-Peraza-Herrera Wenqi Li Lucas Fidon Caspar Gruijthuijsen Alain Devreker George Attilakos Jan Deprest Emmanuel Vander Poorten Danail Stoyanov Tom Vercauteren
+ PDF Chat	On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task	2017	Wenqi Li Guotai Wang Lucas Fidon Sébastien Ourselin M. Jorge Cardoso Tom Vercauteren
+ PDF Chat	Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation	2017	Lucas Fidon Wenqi Li Luis C. García-Peraza-Herrera Jinendra Ekanayake Neil Kitchen Sébastien Ourselin Tom Vercauteren
+ PDF Chat	Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations	2017	Carole H. Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso
+ PDF Chat	Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking	2017	Luis C. García-Peraza-Herrera Wenqi Li Caspar Gruijthuijsen Alain Devreker George Attilakos Jan Deprest Emmanuel Vander Poorten Danail Stoyanov Tom Vercauteren Sébastien Ourselin

Common Coauthors

Coauthor	Papers Together
Daguang Xu	37
Holger R. Roth	32
Sébastien Ourselin	29
Tom Vercauteren	22
Andriy Myronenko	16
M. Jorge Cardoso	14
Ziyue Xu	14
Ali Hatamizadeh	13
Vishwesh Nath	12
Ziyue Xu	11
Can Zhao	11
Guotai Wang	10
Dong Yang	9
Wentao Zhu	8
Dong Yang	8
Mona G. Flores	7
Yucheng Tang	7
Barış Türkbey	7
Can Zhao	7
Andrew Feng	7
Luis C. García-Peraza-Herrera	6
Marc Modat	6
Pavlo Molchanov	5
Francesca Patella	5
Evrim Türkbey	5
Stephanie A. Harmon	5
Lucas Fidon	5
Gianpaolo Carrafiello	5
Jan Deprest	5
Fausto Milletarì	5
Danail Stoyanov	5
Bradford J. Wood	5
Prerna Dogra	5
Nicola Rieke	5
Jinendra Ekanayake	4
Xiaosong Wang	4
Reuben Dorent	4
Dong Yang	4
Jan Kautz	4
Hongxu Yin	4
Carole H. Sudre	3
Kerstin Kläser	3
David Atkinson	3
Kris Thielemans	3
Yan Cheng	3
Andrés Diaz-Pinto	3
Hirofumi Obinata	3
Tom Doel	3
Bennett A. Landman	3
Yipeng Hu	3

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	19
+ PDF Chat	On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task	2017	Wenqi Li Guotai Wang Lucas Fidon Sébastien Ourselin M. Jorge Cardoso Tom Vercauteren	16
+ PDF Chat	3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation	2016	Özgün Çiçek Ahmed Abdulkadir Soeren S. Lienkamp Thomas Brox Olaf Ronneberger	16
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	15
+	Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation	2016	Konstantinos Kamnitsas Christian Ledig Virginia Newcombe Joanna Simpson Andrew D. Kane David Menon Daniel Rueckert Ben Glocker	13
+ PDF Chat	Fully convolutional networks for semantic segmentation	2015	Jonathan Long Evan Shelhamer Trevor Darrell	10
+	NiftyNet: a deep-learning platform for medical imaging	2018	Eli Gibson Wenqi Li Carole H. Sudre Lucas Fidon Dzhoshkun I. Shakir Guotai Wang Zach Eaton-Rosen Robert Gray Tom Doel Yipeng Hu	10
+	A large annotated medical image dataset for the development and evaluation of segmentation algorithms	2019	Amber L. Simpson Michela Antonelli Spyridon Bakas Michel Bilello Keyvan Farahani Bram van Ginneken Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze	9
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	8
+ PDF Chat	Multi-institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation	2019	Micah Sheller G. Anthony Reina Brandon Edwards Jason Martin Spyridon Bakas	8
+ PDF Chat	Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations	2017	Carole H. Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso	7
+	Communication-Efficient Learning of Deep Networks from Decentralized Data	2016	H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson Blaise Agüera y Arcas	6
+ PDF Chat	Brain tumor segmentation with Deep Neural Networks	2016	Mohammad Havaei Axel Davy David Warde-Farley Antoine Biard Aaron Courville Yoshua Bengio Chris Pal Pierre-Marc Jodoin Hugo Larochelle	6
+ PDF Chat	nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation	2020	Fabian Isensee Paul F. Jaeger Simon Kohl Jens Petersen Klaus H. Maier‐Hein	6
+ PDF Chat	Privacy-Preserving Federated Brain Tumour Segmentation	2019	Wenqi Li Fausto Milletarì Daguang Xu Nicola Rieke Jonny Hancox Wentao Zhu Maximilian Baust Yan Cheng Sébastien Ourselin M. Jorge Cardoso	6
+ PDF Chat	Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification	2015	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+	What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?	2017	Alex Kendall Yarin Gal	5
+ PDF Chat	Deep MR to CT Synthesis Using Unpaired Data	2017	Jelmer M. Wolterink Anna M. Dinkla M.H.F. Savenije Peter R. Seevinck Cornelis A. T. van den Berg Ivana Išgum	5
+	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge	2018	Spyridon Bakas Mauricio Reyes Enzo Battistella Siddhartha Chandra Huiguang He Lucas Fidon Maria Vakalopoulou Roger Sun et al. Éric Deutsch	5
+	Learning without Forgetting	2017	Zhizhong Li Derek Hoiem	5
+ PDF Chat	Automatic Brain Tumor Segmentation Using Cascaded Anisotropic Convolutional Neural Networks	2018	Guotai Wang Wenqi Li Sébastien Ourselin Tom Vercauteren	5
+ PDF Chat	The future of digital health with federated learning	2020	Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletarì Holger R. Roth Shadi Albarqouni Spyridon Bakas Mathieu Galtier Bennett A. Landman Klaus H. Maier‐Hein	5
+	Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning	2018	Guotai Wang Wenqi Li María A. Zuluaga Rosalind Pratt Premal A. Patel Michaël Aertsen Tom Doel Anna L. David Jan Deprest Sébastien Ourselin	5
+ PDF Chat	ToolNet: Holistically-nested real-time segmentation of robotic surgical tools	2017	Luis C. García-Peraza-Herrera Wenqi Li Lucas Fidon Caspar Gruijthuijsen Alain Devreker George Attilakos Jan Deprest Emmanuel Vander Poorten Danail Stoyanov Tom Vercauteren	5
+	V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation	2016	Fausto Milletarì Nassir Navab Seyed‐Ahmad Ahmadi	5
+ PDF Chat	DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation	2018	Guotai Wang María A. Zuluaga Wenqi Li Rosalind Pratt Premal A. Patel Michaël Aertsen Tom Doel Anna L. David Jan Deprest Sébastien Ourselin	5
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	5
+	Fully Convolutional Networks for Semantic Segmentation	2014	J. D. Long Evan Shelhamer Trevor Darrell	5
+	An Overview of Multi-Task Learning in Deep Neural Networks	2017	Sebastian Ruder	4
+	Very Deep Convolutional Networks for Large-Scale Image Recognition	2014	Karen Simonyan Andrew Zisserman	4
+	Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	2015	Yarin Gal Zoubin Ghahramani	4
+ PDF Chat	Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation	2017	Lucas Fidon Wenqi Li Luis C. García-Peraza-Herrera Jinendra Ekanayake Neil Kitchen Sébastien Ourselin Tom Vercauteren	4
+	TensorFlow: A system for large-scale machine learning	2016	Martı́n Abadi Paul Barham Jianmin Chen Zhifeng Chen Andy Davis Jay B. Dean Matthieu Devin Sanjay Ghemawat Geoffrey Irving Michael Isard	4
+ PDF Chat	3D MRI Brain Tumor Segmentation Using Autoencoder Regularization	2019	Andriy Myronenko	4
+ PDF Chat	Holistically-Nested Edge Detection	2015	Saining Xie Zhuowen Tu	4
+ PDF Chat	AnatomyNet: Deep learning for fast and fully automated whole‐volume segmentation of head and neck anatomy	2018	Wentao Zhu Yufang Huang Liang Zeng Xuming Chen Yong Liu Zhen Qian Nan Du Wei Fan Xiaohui Xie	4
+	Caffe: Convolutional Architecture for Fast Feature Embedding	2014	Yangqing Jia Evan Shelhamer Jeff Donahue Sergey Karayev Jonathan Long Ross Girshick Sergio Guadarrama Trevor Darrell	4
+ PDF Chat	The Medical Segmentation Decathlon	2022	Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani Annette Kopp‐Schneider Bennett A. Landman Geert Litjens Bjoern Menze Olaf Ronneberger Ronald M. Summers	4
+ PDF Chat	HeMIS: Hetero-Modal Image Segmentation	2016	Mohammad Havaei Nicolas Guizard Nicolas Chapados Yoshua Bengio	4
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	4
+ PDF Chat	3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes	2018	Siqi Liu Daguang Xu S. Kevin Zhou Olivier Pauly Saša Grbić Thomas Mertelmeier Julia Wicklein Anna Jerebko Weidong Cai Dorin Comaniciu	4
+	Federated semi-supervised learning for COVID region segmentation in chest CT using multi-national data from China, Italy, Japan	2021	Dong Yang Ziyue Xu Wenqi Li Andriy Myronenko Holger R. Roth Stephanie Harmon Sheng Xu Barış Türkbey Evrim Türkbey Xiaosong Wang	4
+ PDF Chat	See through Gradients: Image Batch Recovery via GradInversion	2021	Hongxu Yin Arun Mallya Arash Vahdat Jose M. Álvarez Jan Kautz Pavlo Molchanov	4
+	Federated Optimization in Heterogeneous Networks	2018	Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	4
+ PDF Chat	Federated Learning: Challenges, Methods, and Future Directions	2020	Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith	4
+ PDF Chat	End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network	2017	Bob D. de Vos Floris F. Berendsen Max A. Viergever Marius Staring Ivana Išgum	3
+ PDF Chat	Revisiting Unreasonable Effectiveness of Data in Deep Learning Era	2017	Chen Sun Abhinav Shrivastava Saurabh Singh Abhinav Gupta	3
+	Quicksilver: Fast predictive image registration – A deep learning approach	2017	Xiao Yang Roland Kwitt Martin Styner Marc Niethammer	3
+ PDF Chat	Voxel-Based Morphometry—The Methods	2000	John Ashburner Karl Friston	3
+	Federated Learning of Deep Networks using Model Averaging	2016	H. Brendan McMahan Eider Moore Daniel Ramage Blaise Agüera y Arcas	3