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Wenqi Li

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


Apr 20, 2021
Yingda Xia, Dong Yang, Wenqi Li, Andriy Myronenko, Daguang Xu, Hirofumi Obinata, Hitoshi Mori, Peng An, Stephanie Harmon, Evrim Turkbey, Baris Turkbey, Bradford Wood, Francesca Patella, Elvira Stellato, Gianpaolo Carrafiello, Anna Ierardi, Alan Yuille, Holger Roth

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Deep Class-Specific Affinity-Guided Convolutional Network for Multimodal Unpaired Image Segmentation


Jan 05, 2021
Jingkun Chen, Wenqi Li, Hongwei Li, Jianguo Zhang

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Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, Japan


Nov 23, 2020
Dong Yang, Ziyue Xu, Wenqi Li, Andriy Myronenko, Holger R. Roth, Stephanie 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

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* Accepted with minor revision to Medical Image Analysis 
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Federated Learning for Breast Density Classification: A Real-World Implementation


Sep 17, 2020
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 White, Behrooz Hashemian, Thomas Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina V. 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 Rubin, Jayashree Kalpathy-Cramer

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* Accepted at the 1st MICCAI Workshop on "Distributed And Collaborative Learning"; add citation to Fig. 1 & 2 and update Fig. 5 
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Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets


Sep 08, 2020
Reuben Dorent, Thomas Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Jorge Cardoso, Sebastien Ourselin, Tom Vercauteren

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* MIDL 2019 special issue - Medical Image Analysis 
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Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking


Sep 07, 2020
Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sébastien Ourselin

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* Accepted in CARE Workshop, held in conjunction with MICCAI 2016 
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LAMP: Large Deep Nets with Automated Model Parallelism for Image Segmentation


Jun 26, 2020
Wentao Zhu, Can Zhao, Wenqi Li, Holger Roth, Ziyue Xu, Daguang Xu

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* MICCAI 2020 Early Accepted paper. Code is available\footnote{https://monai.io/research/lamp-automated-model-parallelism} 
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The Future of Digital Health with Federated Learning


Mar 18, 2020
Nicola Rieke, Jonny Hancox, Wenqi Li, Fausto Milletari, Holger Roth, Shadi Albarqouni, Spyridon Bakas, Mathieu N. Galtier, Bennett Landman, Klaus Maier-Hein, Sebastien Ourselin, Micah Sheller, Ronald M. Summers, Andrew Trask, Daguang Xu, Maximilian Baust, M. Jorge Cardoso

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Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA


Mar 09, 2020
Xianpei Han, Zhichun Wang, Jiangtao Zhang, Qinghua Wen, Wenqi Li, Buzhou Tang, Qi Wang, Zhifan Feng, Yang Zhang, Yajuan Lu, Haitao Wang, Wenliang Chen, Hao Shao, Yubo Chen, Kang Liu, Jun Zhao, Taifeng Wang, Kezun Zhang, Meng Wang, Yinlin Jiang, Guilin Qi, Lei Zou, Sen Hu, Minhao Zhang, Yinnian Lin

* 21 pages, in Chinese, 9 figures and 17 tables, CCKS 2019 held an evaluation track about knowledge graph with 6 tasks and attracted more than 1,600 teams 
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NeurReg: Neural Registration and Its Application to Image Segmentation


Oct 04, 2019
Wentao Zhu, Andriy Myronenko, Ziyue Xu, Wenqi Li, Holger Roth, Yufang Huang, Fausto Milletari, Daguang Xu

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* WACV 2020 first round early accept; supplementary https://drive.google.com/file/d/1kzTLQn8cpoQNAYWUDJMtN5HcqhbWbl7G/view?usp=sharing; code will be released soon under NVIDIA open source; demos https://www.youtube.com/watch?v=GYLD7t7dSAg&t=3s 
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Privacy-preserving Federated Brain Tumour Segmentation


Oct 02, 2019
Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu, Maximilian Baust, Yan Cheng, Sébastien Ourselin, M. Jorge Cardoso, Andrew Feng

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* MICCAI MLMI 2019 
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Learning joint lesion and tissue segmentation from task-specific hetero-modal datasets


Jul 07, 2019
Reuben Dorent, Wenqi Li, Jinendra Ekanayake, Sebastien Ourselin, Tom Vercauteren

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* Accepted as an oral presentation at MIDL 2019 http://proceedings.mlr.press/v102/dorent19a.html 
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Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss


Jun 10, 2019
Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Sebastien Ourselin, Tom Vercauteren

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* 9 pages, 4 figures, submitted to MICCAI 
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2017 Robotic Instrument Segmentation Challenge


Feb 21, 2019
Max Allan, Alex Shvets, Thomas Kurmann, Zichen Zhang, Rahul Duggal, Yun-Hsuan Su, Nicola Rieke, Iro Laina, Niveditha Kalavakonda, Sebastian Bodenstedt, Luis Herrera, Wenqi Li, Vladimir Iglovikov, Huoling Luo, Jian Yang, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel, Mahdi Azizian

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Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation


Oct 18, 2018
Guotai Wang, Wenqi Li, Sebastien Ourselin, Tom Vercauteren

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* 12 pages, 3 figures, MICCAI BrainLes 2018 
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Deep Boosted Regression for MR to CT Synthesis


Aug 22, 2018
Kerstin Kläser, Pawel Markiewicz, Marta Ranzini, Wenqi Li, Marc Modat, Brian F Hutton, David Atkinson, Kris Thielemans, M Jorge Cardoso, Sebastien Ourselin

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* Accepted at SASHIMI2018 
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Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks


Jul 20, 2018
Guotai Wang, Wenqi Li, Michael Aertsen, Jan Deprest, Sebastien Ourselin, Tom Vercauteren

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* 11 pages, 6 figures, submission to CMIG 
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Weakly-Supervised Convolutional Neural Networks for Multimodal Image Registration


Jul 09, 2018
Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Nooshin Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren

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* Accepted manuscript in Medical Image Analysis 
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Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning


Jun 18, 2018
Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sebastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso

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* Early-accept at MICCAI 2018, 8 pages, 4 figures 
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Interpretable Fully Convolutional Classification of Intrapapillary Capillary Loops for Real-Time Detection of Early Squamous Neoplasia


May 02, 2018
Luis C. Garcia-Peraza-Herrera, Martin Everson, Wenqi Li, Inmanol Luengo, Lorenz Berger, Omer Ahmad, Laurence Lovat, Hsiu-Po Wang, Wen-Lun Wang, Rehan Haidry, Danail Stoyanov, Tom Vercauteren, Sebastien Ourselin

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NiftyNet: a deep-learning platform for medical imaging


Oct 16, 2017
Eli Gibson, Wenqi Li, Carole Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren

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* Wenqi Li and Eli Gibson contributed equally to this work. M. Jorge Cardoso and Tom Vercauteren contributed equally to this work. 26 pages, 6 figures; Update includes additional applications, updated author list and formatting for journal submission 
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Interactive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning


Oct 11, 2017
Guotai Wang, Wenqi Li, Maria A. Zuluaga, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sebastien Ourselin, Tom Vercauteren

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* 11 pages, 11 figures 
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DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation


Sep 19, 2017
Guotai Wang, Maria A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michael Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sebastien Ourselin, Tom Vercauteren

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* 14 pages, 15 figures 
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Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks


Aug 29, 2017
Lucas Fidon, Wenqi Li, Luis C. Garcia-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sebastien Ourselin, Tom Vercauteren

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* Accepted as an oral presentation at the MICCAI 2017 Brain Lesion (BrainLes) Workshop 
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Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations


Jul 14, 2017
Carole H Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso

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On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task


Jul 06, 2017
Wenqi Li, Guotai Wang, Lucas Fidon, Sebastien Ourselin, M. Jorge Cardoso, Tom Vercauteren

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* Paper accepted at IPMI 2017 
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ToolNet: Holistically-Nested Real-Time Segmentation of Robotic Surgical Tools


Jul 04, 2017
Luis C. Garcia-Peraza-Herrera, Wenqi Li, Lucas Fidon, Caspar Gruijthuijsen, Alain Devreker, George Attilakos, Jan Deprest, Emmanuel Vander Poorten, Danail Stoyanov, Tom Vercauteren, Sebastien Ourselin

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* Paper accepted at IROS 2017 
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Scalable multimodal convolutional networks for brain tumour segmentation


Jun 25, 2017
Lucas Fidon, Wenqi Li, Luis C. Garcia-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sebastien Ourselin, Tom Vercauteren

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* Paper accepted at MICCAI 2017 
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