Javier Montalt-Tordera

According to our database, Javier Montalt-Tordera authored at least 10 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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

CoRR, 2024

Panoptic Segmentation of Mammograms with Text-to-Image Diffusion Model.

Kun Zhao, Jakub Prokop, Javier Montalt-Tordera, Sadegh Mohammadi

Proceedings of the Deep Generative Models - 4th MICCAI Workshop, 2024

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

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, Sadegh Mohammadi

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

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

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

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

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

2020

Machine Learning in Magnetic Resonance Imaging: Image Reconstruction.

Javier Montalt-Tordera, Vivek Muthurangu, Andreas Hauptmann, Jennifer Anne Steeden

CoRR, 2020