Simultaneous correspondence and non-rigid 3D reconstruction of the coronary tree from single X-ray images. - Eduard Serradell; Adriana Romero; Ruben Leta; Carlo Gatta; Francesc Moreno-Noguer (ICCV, 2011)

Robust and Accurate Diaphragm Border Detection in Cardiac X-Ray Angiographies. - Simeon Petkov; Adriana Romero; Xavier Carrillo Suarez; Petia Radeva; Carlo Gatta (STACOM, 2012)

Do We Really Need All These Neurons? - Adriana Romero; Carlo Gatta (IbPRIA, 2013)

Unrolling Loopy Top-Down Semantic Feedback in Convolutional Deep Networks. - Carlo Gatta; Adriana Romero; Joost van de Weijer 001 (CVPR Workshops, 2014)

Unsupervised deep feature extraction of hyperspectral images. - Adriana Romero; Carlo Gatta; Gustavo Camps-Valls (WHISPERS, 2014)

No more meta-parameter tuning in unsupervised sparse feature learning. - Adriana Romero; Petia Radeva; Carlo Gatta (CoRR, 2014)

Shared feature representations of LiDAR and optical images: Trading sparsity for semantic discrimination. - Manuel Campos-Taberner; Adriana Romero; Carlo Gatta; Gustau Camps-Valls (IGARSS, 2015)

FitNets: Hints for Thin Deep Nets. - Adriana Romero; Nicolas Ballas; Samira Ebrahimi Kahou; Antoine Chassang; Carlo Gatta; Yoshua Bengio (ICLR (Poster), 2015)

Meta-Parameter Free Unsupervised Sparse Feature Learning. - Adriana Romero; Petia Radeva; Carlo Gatta (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

ReSeg: A Recurrent Neural Network-Based Model for Semantic Segmentation. - Francesco Visin; Adriana Romero; Kyunghyun Cho; Matteo Matteucci; Marco Ciccone; Kyle Kastner; Yoshua Bengio; Aaron C. Courville (CVPR Workshops, 2016)

Theano: A Python framework for fast computation of mathematical expressions. - Rami Al-Rfou; Guillaume Alain; Amjad Almahairi; Christof Angermüller; Dzmitry Bahdanau; Nicolas Ballas; Frédéric Bastien; Justin Bayer; Anatoly Belikov; Alexander Belopolsky; Yoshua Bengio; Arnaud Bergeron; et al. (CoRR, 2016)

Diet Networks: Thin Parameters for Fat Genomic. - Adriana Romero; Pierre Luc Carrier; Akram Erraqabi; Tristan Sylvain; Alex Auvolat; Etienne Dejoie; Marc-André Legault; Marie-Pierre Dubé; Julie G. Hussin; Yoshua Bengio (CoRR, 2016)

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. - David Vázquez 001; Jorge Bernal; Francisco Javier Sánchez; Gloria Fernández-Esparrach; Antonio M. López 001; Adriana Romero; Michal Drozdzal; Aaron C. Courville (CoRR, 2016)

Unsupervised Deep Feature Extraction for Remote Sensing Image Classification. - Adriana Romero; Carlo Gatta; Gustau Camps-Valls (IEEE Trans. Geosci. Remote. Sens., 2016)

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation. - Simon Jégou; Michal Drozdzal; David Vázquez 001; Adriana Romero; Yoshua Bengio (CVPR Workshops, 2017)

Diet Networks: Thin Parameters for Fat Genomics. - Adriana Romero; Pierre Luc Carrier; Akram Erraqabi; Tristan Sylvain; Alex Auvolat; Etienne Dejoie; Marc-André Legault; Marie-Pierre Dubé; Julie G. Hussin; Yoshua Bengio (ICLR (Poster), 2017)

Learning Normalized Inputs for Iterative Estimation in Medical Image Segmentation. - Michal Drozdzal; Gabriel Chartrand; Eugene Vorontsov; Lisa Di-Jorio; An Tang; Adriana Romero; Yoshua Bengio; Chris Pal; Samuel Kadoury (CoRR, 2017)

Image Segmentation by Iterative Inference from Conditional Score Estimation. - Adriana Romero; Michal Drozdzal; Akram Erraqabi; Simon Jégou; Yoshua Bengio (CoRR, 2017)

On the Iterative Refinement of Densely Connected Representation Levels for Semantic Segmentation. - Arantxa Casanova; Guillem Cucurull; Michal Drozdzal; Adriana Romero; Yoshua Bengio (CVPR Workshops, 2018)

WiCV 2018: The Fourth Women in Computer Vision Workshop. - Ilke Demir; Dena Bazazian; Adriana Romero; Viktoriia Sharmanska; Lyne P. Tchapmi (CVPR Workshops, 2018)

Graph Attention Networks. - Petar Velickovic; Guillem Cucurull; Arantxa Casanova; Adriana Romero; Pietro Liò; Yoshua Bengio (ICLR (Poster), 2018)

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI. - 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; et al. (CoRR, 2018)

Learning normalized inputs for iterative estimation in medical image segmentation. - Michal Drozdzal; Gabriel Chartrand; Eugene Vorontsov; Mahsa Shakeri; Lisa Di-Jorio; An Tang; Adriana Romero; Yoshua Bengio; Chris Pal; Samuel Kadoury (Medical Image Anal., 2018)

Inverse Cooking: Recipe Generation From Food Images. - Amaia Salvador; Michal Drozdzal; Xavier Giró-i-Nieto; Adriana Romero (CVPR, 2019)

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition. - Zizhao Zhang; Adriana Romero; Matthew J. Muckley; Pascal Vincent; Lin Yang 002; Michal Drozdzal (CVPR, 2019)

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects. - Edward J. Smith; Scott Fujimoto; Adriana Romero; David Meger (ICML, 2019)

Early Prediction of Alzheimer's Disease Progression Using Variational Autoencoders. - Sumana Basu; Konrad Wagstyl; Azar Zandifar; D. Louis Collins; Adriana Romero; Doina Precup (MICCAI (4), 2019)

Elucidating image-to-set prediction: An analysis of models, losses and datasets. - Luis Pineda; Amaia Salvador; Michal Drozdzal; Adriana Romero (CoRR, 2019)

On the Evaluation of Conditional GANs. - Terrance DeVries; Adriana Romero; Luis Pineda; Graham W. Taylor; Michal Drozdzal (CoRR, 2019)

Active MR k-space Sampling with Reinforcement Learning. - Luis Pineda; Sumana Basu; Adriana Romero; Roberto Calandra; Michal Drozdzal (MICCAI (2), 2020)

3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; Roberto Calandra; Adriana Romero; Georgia Gkioxari; David Meger; Jitendra Malik; Michal Drozdzal (NeurIPS, 2020)

Learning to adapt class-specific features across domains for semantic segmentation. - Mikel Menta; Adriana Romero; Joost van de Weijer 001 (CoRR, 2020)

Post-Workshop Report on Science meets Engineering in Deep Learning, NeurIPS 2019, Vancouver. - Levent Sagun; Çaglar Gülçehre; Adriana Romero; Negar Rostamzadeh; Stefano Sarao Mannelli (CoRR, 2020)

Active 3D Shape Reconstruction from Vision and Touch. - Edward J. Smith; David Meger; Luis Pineda; Roberto Calandra; Jitendra Malik; Adriana Romero; Michal Drozdzal (CoRR, 2021)

Biomechanical in silico evaluation of a 3D novel total hip implant with cemented fixation using finite elements. - Sofia Cespedes; Sara Rua; Adriana Romero; Andres Lopez; Uriel Zapata; Fanny L. Casado (EMBC, 2022)

Multi-Frequency Regularized Approach for Simultaneous Estimation of the Acoustic Nonlinearity Parameter and Attenuation Coefficient. - Sebastian Merino; Adriana Romero; Roberto J. Lavarello; Andres Coila (ISBI, 2025)