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Instance-Conditioned GAN


Sep 10, 2021
Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano


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Active 3D Shape Reconstruction from Vision and Touch


Jul 20, 2021
Edward J. Smith, David Meger, Luis Pineda, Roberto Calandra, Jitendra Malik, Adriana Romero, Michal Drozdzal


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Generating unseen complex scenes: are we there yet?


Dec 07, 2020
Arantxa Casanova, Michal Drozdzal, Adriana Romero-Soriano


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Instance Selection for GANs


Jul 30, 2020
Terrance DeVries, Michal Drozdzal, Graham W. Taylor


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Active MR k-space Sampling with Reinforcement Learning


Jul 20, 2020
Luis Pineda, Sumana Basu, Adriana Romero, Roberto Calandra, Michal Drozdzal

* To appear in 23rd International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 

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3D Shape Reconstruction from Vision and Touch


Jul 07, 2020
Edward J. Smith, Roberto Calandra, Adriana Romero, Georgia Gkioxari, David Meger, Jitendra Malik, Michal Drozdzal

* Submitted for review 

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Extending Unsupervised Neural Image Compression With Supervised Multitask Learning


Apr 15, 2020
David Tellez, Diederik Hoppener, Cornelis Verhoef, Dirk Grunhagen, Pieter Nierop, Michal Drozdzal, Jeroen van der Laak, Francesco Ciompi

* Medical Imaging with Deep Learning 2020 (MIDL20) 

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Needles in Haystacks: On Classifying Tiny Objects in Large Images


Aug 16, 2019
Nick Pawlowski, Suvrat Bhooshan, Nicolas Ballas, Francesco Ciompi, Ben Glocker, Michal Drozdzal


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On the Evaluation of Conditional GANs


Jul 11, 2019
Terrance DeVries, Adriana Romero, Luis Pineda, Graham W. Taylor, Michal Drozdzal


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Elucidating image-to-set prediction: An analysis of models, losses and datasets


Apr 11, 2019
Luis Pineda, Amaia Salvador, Michal Drozdzal, Adriana Romero


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Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition


Feb 08, 2019
Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal


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The Liver Tumor Segmentation Benchmark (LiTS)


Jan 13, 2019
Patrick Bilic, Patrick Ferdinand Christ, Eugene Vorontsov, Grzegorz Chlebus, Hao Chen, Qi Dou, Chi-Wing Fu, Xiao Han, Pheng-Ann Heng, J√ľrgen Hesser, Samuel Kadoury, Tomasz Konopczynski, Miao Le, Chunming Li, Xiaomeng Li, Jana Lipkov√†, John Lowengrub, Hans Meine, Jan Hendrik Moltz, Chris Pal, Marie Piraud, Xiaojuan Qi, Jin Qi, Markus Rempfler, Karsten Roth, Andrea Schenk, Anjany Sekuboyina, Eugene Vorontsov, Ping Zhou, Christian H√ľlsemeyer, Marcel Beetz, Florian Ettlinger, Felix Gruen, Georgios Kaissis, Fabian Loh√∂fer, Rickmer Braren, Julian Holch, Felix Hofmann, Wieland Sommer, Volker Heinemann, Colin Jacobs, Gabriel Efrain Humpire Mamani, Bram van Ginneken, Gabriel Chartrand, An Tang, Michal Drozdzal, Avi Ben-Cohen, Eyal Klang, Marianne M. Amitai, Eli Konen, Hayit Greenspan, Johan Moreau, Alexandre Hostettler, Luc Soler, Refael Vivanti, Adi Szeskin, Naama Lev-Cohain, Jacob Sosna, Leo Joskowicz, Bjoern H. Menze

* conference 

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Inverse Cooking: Recipe Generation from Food Images


Dec 14, 2018
Amaia Salvador, Michal Drozdzal, Xavier Giro-i-Nieto, Adriana Romero


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fastMRI: An Open Dataset and Benchmarks for Accelerated MRI


Nov 21, 2018
Jure Zbontar, Florian Knoll, Anuroop Sriram, Matthew J. Muckley, Mary Bruno, Aaron Defazio, Marc Parente, Krzysztof J. Geras, Joe Katsnelson, Hersh Chandarana, Zizhao Zhang, Michal Drozdzal, Adriana Romero, Michael Rabbat, Pascal Vincent, James Pinkerton, Duo Wang, Nafissa Yakubova, Erich Owens, C. Lawrence Zitnick, Michael P. Recht, Daniel K. Sodickson, Yvonne W. Lui

* 29 pages, 8 figures 

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On the iterative refinement of densely connected representation levels for semantic segmentation


Apr 30, 2018
Arantxa Casanova, Guillem Cucurull, Michal Drozdzal, Adriana Romero, Yoshua Bengio


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The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation


Oct 31, 2017
Simon Jégou, Michal Drozdzal, David Vazquez, Adriana Romero, Yoshua Bengio


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Learnable Explicit Density for Continuous Latent Space and Variational Inference


Oct 06, 2017
Chin-Wei Huang, Ahmed Touati, Laurent Dinh, Michal Drozdzal, Mohammad Havaei, Laurent Charlin, Aaron Courville

* 2 figures, 5 pages, submitted to ICML Principled Approaches to Deep Learning workshop 

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Image Segmentation by Iterative Inference from Conditional Score Estimation


Aug 18, 2017
Adriana Romero, Michal Drozdzal, Akram Erraqabi, Simon Jégou, Yoshua Bengio


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Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation


Feb 16, 2017
Michal Drozdzal, Gabriel Chartrand, Eugene Vorontsov, Lisa Di Jorio, An Tang, Adriana Romero, Yoshua Bengio, Chris Pal, Samuel Kadoury


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A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images


Dec 02, 2016
David Vázquez, Jorge Bernal, F. Javier Sánchez, Gloria Fernández-Esparrach, Antonio M. López, Adriana Romero, Michal Drozdzal, Aaron Courville


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The Importance of Skip Connections in Biomedical Image Segmentation


Sep 22, 2016
Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand, Samuel Kadoury, Chris Pal

* Accepted to 2nd Workshop on Deep Learning in Medical Image Analysis (DLMIA 2016); Added references 

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Generic Feature Learning for Wireless Capsule Endoscopy Analysis


Jul 26, 2016
Santi Seguí, Michal Drozdzal, Guillem Pascual, Petia Radeva, Carolina Malagelada, Fernando Azpiroz, Jordi Vitrià


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