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Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge


Aug 10, 2021
Alain Lalande, Zhihao Chen, Thibaut Pommier, Thomas Decourselle, Abdul Qayyum, Michel Salomon, Dominique Ginhac, Youssef Skandarani, Arnaud Boucher, Khawla Brahim, Marleen de Bruijne, Robin Camarasa, Teresa M. Correia, Xue Feng, Kibrom B. Girum, Anja Hennemuth, Markus Huellebrand, Raabid Hussain, Matthias Ivantsits, Jun Ma, Craig Meyer, Rishabh Sharma, Jixi Shi, Nikolaos V. Tsekos, Marta Varela, Xiyue Wang, Sen Yang, Hannu Zhang, Yichi Zhang, Yuncheng Zhou, Xiahai Zhuang, Raphael Couturier, Fabrice Meriaudeau

* Submitted to Medical Image Analysis 

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Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge


Feb 26, 2021
Aneeq Zia, Kiran Bhattacharyya, Xi Liu, Ziheng Wang, Satoshi Kondo, Emanuele Colleoni, Beatrice van Amsterdam, Razeen Hussain, Raabid Hussain, Lena Maier-Hein, Danail Stoyanov, Stefanie Speidel, Anthony Jarc

* Results from SurgVisDom 2020 challenge held at MICCAI 2020 

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Automatic Myocardial Infarction Evaluation from Delayed-Enhancement Cardiac MRI using Deep Convolutional Networks


Oct 30, 2020
Kibrom Berihu Girum, Youssef Skandarani, Raabid Hussain, Alexis Bozorg Grayeli, Gilles Créhange, Alain Lalande


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Deep generative model-driven multimodal prostate segmentation in radiotherapy


Oct 23, 2019
Kibrom Berihu Girum, Gilles Créhange, Raabid Hussain, Paul Michael Walker, Alain Lalande

* 8 pages, camera ready paper, accepted for Artificial Intelligence in Radiation Therapy (AIRT), in conjunction with MICCAI 2019 

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3D landmark detection for augmented reality based otologic procedures


Sep 04, 2019
Raabid Hussain, Alain Lalande, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli

* Surgetica, Jun 2019, Rennes, France 

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