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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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MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures


Dec 30, 2020
Laura Mora Ballestar, Veronica Vilaplana

* Extended paper. BrainLes Workshop, MICCAI 2020. arXiv admin note: substantial text overlap with arXiv:2009.12188 

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Brain Tumor Segmentation using 3D-CNNs with Uncertainty Estimation


Sep 24, 2020
Laura Mora Ballestar, Veronica Vilaplana

* Pre-conference paper. Brain Tumor Segmentation (BraTS) Challenge 2020 

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Picking groups instead of samples: A close look at Static Pool-based Meta-Active Learning


Nov 01, 2019
Ignasi Mas, Josep Ramon Morros, Veronica Vilaplana

* ICCV Workshop - MDALC 2019. Seoul, South Korea; 2019 

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BCN20000: Dermoscopic Lesions in the Wild


Aug 30, 2019
Marc Combalia, Noel C. F. Codella, Veronica Rotemberg, Brian Helba, Veronica Vilaplana, Ofer Reiter, Cristina Carrera, Alicia Barreiro, Allan C. Halpern, Susana Puig, Josep Malvehy

* Abstract for BCN20000 

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Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification


Dec 30, 2018
Marc Combalia, Veronica Vilaplana

* accepted at 4th International Workshop on Deep Learning for Medical Image Analysis (DLMIA), MICCAI 2018, Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, Springer International Publishing, 2018 

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Brain MRI super-resolution using 3D generative adversarial networks


Dec 29, 2018
Irina Sanchez, Veronica Vilaplana

* First International Conference on Medical Imaging with Deep Learning, Amsterdam, 2018 

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Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling


Apr 18, 2017
Santi Puch, Asier Aduriz, Adrià Casamitjana, Veronica Vilaplana, Paula Petrone, Grégory Operto, Raffaele Cacciaglia, Stavros Skouras, Carles Falcon, José Luis Molinuevo, Juan Domingo Gispert

* 4 pages + 1 page for acknowledgements and references. NIPS 2016 Workshop on Machine Learning for Health (NIPS ML4HC) 

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