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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation -- Analysis of Ranking Metrics and Benchmarking Results


Dec 19, 2021
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil Nalawade, Chandan Ganesh, Ben Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Illyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Veronica Vilaplana, Hugh McHugh, Gonzalo Maso Talou, Alan Wang, Jay Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Elodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Llado, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-Andr Weber, Abhishek Mahajan, Andras Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel Marcus, Aikaterini Kotrotsou, Rivka Colen, John Freymann, Justin Kirby, Christos Davatzikos, Bjoern Menze, Spyridon Bakas, Yarin Gal, Tal Arbel

* Under submission at MELBA journal 

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Combining unsupervised and supervised learning for predicting the final stroke lesion


Jan 02, 2021
Adriano Pinto, Sérgio Pereira, Raphael Meier, Roland Wiest, Victor Alves, Mauricio Reyes, Carlos A. Silva

* Accepted at Medical Image Analysis (MedIA) 

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Uncertainty-driven refinement of tumor-core segmentation using 3D-to-2D networks with label uncertainty


Dec 11, 2020
Richard McKinley, Micheal Rebsamen, Katrin Daetwyler, Raphael Meier, Piotr Radojewski, Roland Wiest

* Presented (virtually) in the MICCAI Brainles workshop 2020. Accepted for publication in Brainles proceedings 

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Few-shot brain segmentation from weakly labeled data with deep heteroscedastic multi-task networks


Apr 04, 2019
Richard McKinley, Michael Rebsamen, Raphael Meier, Mauricio Reyes, Christian Rummel, Roland Wiest


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Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment


Sep 25, 2018
Sergio Pereira, Raphael Meier, Victor Alves, Mauricio Reyes, Carlos A. Silva

* Accepted and presented at iMIMIC - Workshop on Interpretability of Machine Intelligence in Medical Image Computing 

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Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction


Jun 12, 2018
Adriano Pinto, Sergio Pereira, Raphael Meier, Victor Alves, Roland Wiest, Carlos A. Silva, Mauricio Reyes

* Accepted at MICCAI 2018 

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Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning


Jun 11, 2018
Andreas Hess, Raphael Meier, Johannes Kaesmacher, Simon Jung, Fabien Scalzo, David Liebeskind, Roland Wiest, Richard McKinley


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Uncertainty-driven Sanity Check: Application to Postoperative Brain Tumor Cavity Segmentation


Jun 08, 2018
Alain Jungo, Raphael Meier, Ekin Ermis, Evelyn Herrmann, Mauricio Reyes

* Appears in Medical Imaging with Deep Learning (MIDL), 2018 

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On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation


Jun 07, 2018
Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes

* Appears in Medical Image Computing and Computer Assisted Interventions (MICCAI), 2018 

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Perturb-and-MPM: Quantifying Segmentation Uncertainty in Dense Multi-Label CRFs


Mar 02, 2017
Raphael Meier, Urspeter Knecht, Alain Jungo, Roland Wiest, Mauricio Reyes

* Deactivated review mode (line spacing) 

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