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The pitfalls of using open data to develop deep learning solutions for COVID-19 detection in chest X-rays


Sep 14, 2021
Rachael Harkness, Geoff Hall, Alejandro F Frangi, Nishant Ravikumar, Kieran Zucker

* To be published in MedInfo 21 - 18th World Congress on Medical and Health Informatics; 5 pages, 5 figures 

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Self Context and Shape Prior for Sensorless Freehand 3D Ultrasound Reconstruction


Aug 18, 2021
Mingyuan Luo, Xin Yang, Xiaoqiong Huang, Yuhao Huang, Yuxin Zou, Xindi Hu, Nishant Ravikumar, Alejandro F Frangi, Dong Ni

* Early accepted by MICCAI-2021 

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Flip Learning: Erase to Segment


Aug 02, 2021
Yuhao Huang, Xin Yang, Yuxin Zou, Chaoyu Chen, Jian Wang, Haoran Dou, Nishant Ravikumar, Alejandro F Frangi, Jianqiao Zhou, Dong Ni

* Accepted by MICCAI 2021 

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Style Curriculum Learning for Robust Medical Image Segmentation


Aug 01, 2021
Zhendong Liu, Van Manh, Xin Yang, Xiaoqiong Huang, Karim Lekadir, Víctor Campello, Nishant Ravikumar, Alejandro F Frangi, Dong Ni

* Accepted by MICCAI-2021 

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A Deep Discontinuity-Preserving Image Registration Network


Jul 09, 2021
Xiang Chen, Nishant Ravikumar, Yan Xia, Alejandro F Frangi

* Provisional accepted in MICCAI 2021 

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CAR-Net: Unsupervised Co-Attention Guided Registration Network for Joint Registration and Structure Learning


Jun 11, 2021
Xiang Chen, Yan Xia, Nishant Ravikumar, Alejandro F Frangi


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Generalize Ultrasound Image Segmentation via Instant and Plug & Play Style Transfer


Jan 11, 2021
Zhendong Liu, Xiaoqiong Huang, Xin Yang, Rui Gao, Rui Li, Yuanji Zhang, Yankai Huang, Guangquan Zhou, Yi Xiong, Alejandro F Frangi, Dong Ni

* Accepted by IEEE ISBI 2021 

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Fed-Sim: Federated Simulation for Medical Imaging


Sep 01, 2020
Daiqing Li, Amlan Kar, Nishant Ravikumar, Alejandro F Frangi, Sanja Fidler

* MICCAI 2020 (Early Accept) 

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