Javier Montalt-Tordera

12 papers Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	DiNO-Diffusion: Scaling Medical Diffusion Models via Self-Supervised Pre-Training. MIUA (1) Guillermo Jiménez-Pérez, Pedro Osório, Josef Cersovsky, Javier Montalt-Tordera, Jens Hooge, Steffen Vogler, Sadegh Mohammadi
2024	J	`jnl`	DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training. CoRR Guillermo Jiménez-Pérez, Pedro Osório, Josef Cersovsky, Javier Montalt-Tordera, Jens Hooge, Steffen Vogler, Sadegh Mohammadi
2024	J	`jnl`	Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model. CoRR Kun Zhao, Jakub Prokop, Javier Montalt-Tordera, Sadegh Mohammadi
2024	—	`conf`	Panoptic Segmentation of Mammograms with Text-to-Image Diffusion Model. DGM4MICCAI@MICCAI Kun Zhao, Jakub Prokop, Javier Montalt-Tordera, Sadegh Mohammadi
2023	J	`jnl`	GLADE: Gradient Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic MRI. CoRR Michele Pascale, Vivek Muthurangu, Javier Montalt-Tordera, Heather E. Fitzke, Gauraang Bhatnagar, Stuart Taylor, Jennifer Anne Steeden
2023	J	`jnl`	HyperSLICE: HyperBand optimised Spiral for Low-latency Interactive Cardiac Examination. CoRR Olivier Jaubert, Javier Montalt-Tordera, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu
2023	J	`jnl`	Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction. CoRR Olivier Jaubert, Michele Pascale, Javier Montalt-Tordera, Julius Akesson, Ruta Virsinskaite, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu
2023	J	`jnl`	Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology. CoRR 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, Sadegh Mohammadi
2023	J	`jnl`	Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields. PLoS Comput. Biol. Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli, Raphaël Sivera, Emilie Sauvage, Michael Quail, Silvia Schievano, Vivek Muthurangu
2022	J	`jnl`	Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields. CoRR Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli, Raphaël Sivera, Emilie Sauvage, Silvia Schievano, Vivek Muthurangu
2022	J	`jnl`	FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation. CoRR Olivier Jaubert, Javier Montalt-Tordera, James Brown, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu
2020	J	`jnl`	Machine Learning in Magnetic Resonance Imaging: Image Reconstruction. CoRR Javier Montalt-Tordera, Vivek Muthurangu, Andreas Hauptmann, Jennifer Anne Steeden