Prediction of Fluid Intelligence from T1-Weighted Magnetic Resonance Images. - Sebastian Pölsterl; Benjamín Gutiérrez-Becker; Ignacio Sarasua; Abhijit Guha Roy; Christian Wachinger (ABCD-NP@MICCAI, 2019)

An AutoML Approach for the Prediction of Fluid Intelligence from MRI-Derived Features. - Sebastian Pölsterl; Benjamín Gutiérrez-Becker; Ignacio Sarasua; Abhijit Guha Roy; Christian Wachinger (ABCD-NP@MICCAI, 2019)

'Project & Excite' Modules for Segmentation of Volumetric Medical Scans. - Anne-Marie Rickmann; Abhijit Guha Roy; Ignacio Sarasua; Nassir Navab; Christian Wachinger (MICCAI (2), 2019)

A Wide and Deep Neural Network for Survival Analysis from Anatomical Shape and Tabular Clinical Data. - Sebastian Pölsterl; Ignacio Sarasua; Benjamín Gutiérrez-Becker; Christian Wachinger (PKDD/ECML Workshops (1), 2019)

Recalibration of Neural Networks for Point Cloud Analysis. - Ignacio Sarasua; Sebastian Pölsterl; Christian Wachinger (3DV, 2020)

Discriminative and Generative Models for Anatomical Shape Analysison Point Clouds with Deep Neural Networks. - Benjamín Gutiérrez-Becker; Ignacio Sarasua; Christian Wachinger (CoRR, 2020)

Recalibrating 3D ConvNets With Project & Excite. - Anne-Marie Rickmann; Abhijit Guha Roy; Ignacio Sarasua; Christian Wachinger (IEEE Trans. Medical Imaging, 2020)

Geometric Deep Learning on Anatomical Meshes for the Prediction of Alzheimer's Disease. - Ignacio Sarasua; Jonwong Lee; Christian Wachinger (ISBI, 2021)

TransforMesh: A Transformer Network for Longitudinal Modeling of Anatomical Meshes. - Ignacio Sarasua; Sebastian Pölsterl; Christian Wachinger (MLMI@MICCAI, 2021)

The Medical Segmentation Decathlon. - Michela Antonelli; Annika Reinke; Spyridon Bakas; Keyvan Farahani; Annette Kopp-Schneider; Bennett A. Landman; Geert Litjens 001; Bjoern H. Menze; Olaf Ronneberger; Ronald M. Summers; Bram van Ginneken; Michel Bilello; et al. (CoRR, 2021)

Discriminative and generative models for anatomical shape analysis on point clouds with deep neural networks. - Benjamín Gutiérrez-Becker; Ignacio Sarasua; Christian Wachinger (Medical Image Anal., 2021)

Is a PET All You Need? A Multi-modal Study for Alzheimer's Disease Using 3D CNNs. - Marla Narazani; Ignacio Sarasua; Sebastian Pölsterl; Aldana Lizarraga; Igor Yakushev; Christian Wachinger (MICCAI (1), 2022)

Joint Reconstruction and Parcellation of Cortical Surfaces. - Anne-Marie Rickmann; Fabian Bongratz; Sebastian Pölsterl; Ignacio Sarasua; Christian Wachinger (MLCN@MICCAI, 2022)

CASHformer: Cognition Aware SHape Transformer for Longitudinal Analysis. - Ignacio Sarasua; Sebastian Pölsterl; Christian Wachinger (MICCAI (1), 2022)

All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. - Imanol G. Estepa; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (ICCV, 2023)

Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. - Jesús M. Rodríguez-de-Vera; Pablo Villacorta; Imanol G. Estepa; Marc Bolaños; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (MADiMa@MM, 2023)

ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets. - Pablo Villacorta; Jesús M. Rodríguez-de-Vera; Marc Bolaños; Ignacio Sarasua; Bhalaji Nagarajan; Petia Radeva (CoRR, 2023)

The Liver Tumor Segmentation Benchmark (LiTS). - Patrick Bilic; Patrick Ferdinand Christ; Hongwei Li 004; Eugene Vorontsov; Avi Ben-Cohen; Georgios Kaissis; Adi Szeskin; Colin Jacobs; Gabriel Efrain Humpire Mamani; Gabriel Chartrand; Fabian Lohöfer; Julian Walter Holch; et al. (Medical Image Anal., 2023)

Precision at Scale: Domain-Specific Datasets On-Demand. - Jesús M. Rodríguez-de-Vera; Imanol G. Estepa; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (CoRR, 2024)

A New Benchmark and Baseline for Real-Time High-Resolution Image Inpainting on Edge Devices. - Marcelo Sanchez; Gil Triginer; Coloma Ballester; Ignacio Sarasua; Lara Raad (WACV, 2025)

RETHINED: A New Benchmark and Baseline for Real-Time High-Resolution Image Inpainting On Edge Devices. - Marcelo Sanchez; Gil Triginer; Ignacio Sarasua; Lara Raad; Coloma Ballester (CoRR, 2025)

Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis. - Imanol G. Estepa; Jesús M. Rodríguez-de-Vera; Ignacio Sarasúa; Bhalaji Nagarajan; Petia Radeva (CoRR, 2025)