Machine Learning in Magnetic Resonance Imaging: Image Reconstruction. - Javier Montalt-Tordera; Vivek Muthurangu; Andreas Hauptmann; Jennifer Anne Steeden (CoRR, 2020)

FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation. - Olivier Jaubert; Javier Montalt-Tordera; James Brown; Daniel Knight; Simon R. Arridge; Jennifer Anne Steeden; Vivek Muthurangu (CoRR, 2022)

Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields. - Endrit Pajaziti; Javier Montalt-Tordera; Claudio Capelli; Raphaël Sivera; Emilie Sauvage; Silvia Schievano; Vivek Muthurangu (CoRR, 2022)

HyperSLICE: HyperBand optimised Spiral for Low-latency Interactive Cardiac Examination. - Olivier Jaubert; Javier Montalt-Tordera; Daniel Knight; Simon R. Arridge; Jennifer Anne Steeden; Vivek Muthurangu (CoRR, 2023)

GLADE: Gradient Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic MRI. - Michele Pascale; Vivek Muthurangu; Javier Montalt-Tordera; Heather E. Fitzke; Gauraang Bhatnagar; Stuart Taylor; Jennifer Anne Steeden (CoRR, 2023)

Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction. - Olivier Jaubert; Michele Pascale; Javier Montalt-Tordera; Julius Akesson; Ruta Virsinskaite; Daniel Knight; Simon R. Arridge; Jennifer Anne Steeden; Vivek Muthurangu (CoRR, 2023)

Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology. - Pedro Osório; Guillermo Jiménez-Pérez; Javier Montalt-Tordera; Jens Hooge; Guillem Duran Ballester; Shivam Singh; Moritz Radbruch; Ute Bach; Sabrina Schroeder; Krystyna Siudak; Julia Vienenkoetter; Bettina Lawrenz; et al. (CoRR, 2023)

Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields. - Endrit Pajaziti; Javier Montalt-Tordera; Claudio Capelli; Raphaël Sivera; Emilie Sauvage; Michael Quail; Silvia Schievano; Vivek Muthurangu (PLoS Comput. Biol., 2023)

Panoptic Segmentation of Mammograms with Text-to-Image Diffusion Model. - Kun Zhao; Jakub Prokop; Javier Montalt-Tordera; Sadegh Mohammadi 003 (DGM4MICCAI@MICCAI, 2024)

DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training. - Guillermo Jiménez-Pérez; Pedro Osório; Josef Cersovsky; Javier Montalt-Tordera; Jens Hooge; Steffen Vogler; Sadegh Mohammadi 003 (CoRR, 2024)

DiNO-Diffusion: Scaling Medical Diffusion Models via Self-Supervised Pre-Training. - Guillermo Jiménez-Pérez; Pedro Osório; Josef Cersovsky; Javier Montalt-Tordera; Jens Hooge; Steffen Vogler; Sadegh Mohammadi 003 (MIUA (1), 2025)