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ORCIDJavier Montalt-Tordera
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2020 – today
- 2024
[i9]Guillermo Jiménez-Pérez, Pedro Osório, Josef Cersovsky, Javier Montalt-Tordera, Jens Hooge, Steffen Vogler, Sadegh Mohammadi:
DiNO-Diffusion. Scaling Medical Diffusion via Self-Supervised Pre-Training. CoRR abs/2407.11594 (2024)- [i8]Kun Zhao, Jakub Prokop, Javier Montalt-Tordera, Sadegh Mohammadi:
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model. CoRR abs/2407.14326 (2024) - 2023
- [j1]Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli, Raphaël Sivera, Emilie Sauvage, Michael Quail, Silvia Schievano
, Vivek Muthurangu:
Shape-driven deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields. PLoS Comput. Biol. 19(4) (2023) - [i7]Olivier Jaubert, Javier Montalt-Tordera, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu:
HyperSLICE: HyperBand optimised Spiral for Low-latency Interactive Cardiac Examination. CoRR abs/2302.02688 (2023) - [i6]Michele Pascale, Vivek Muthurangu, Javier Montalt-Tordera, Heather E. Fitzke, Gauraang Bhatnagar, Stuart Taylor, Jennifer Anne Steeden:
GLADE: Gradient Loss Augmented Degradation Enhancement for Unpaired Super-Resolution of Anisotropic MRI. CoRR abs/2303.11831 (2023) - [i5]Olivier Jaubert, Michele Pascale, Javier Montalt-Tordera, Julius Akesson, Ruta Virsinskaite, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu:
Investigating the use of publicly available natural videos to learn Dynamic MR image reconstruction. CoRR abs/2311.13963 (2023) - [i4]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:
Latent Diffusion Models with Image-Derived Annotations for Enhanced AI-Assisted Cancer Diagnosis in Histopathology. CoRR abs/2312.09792 (2023) - 2022
- [i3]Olivier Jaubert, Javier Montalt-Tordera, James Brown, Daniel Knight, Simon R. Arridge, Jennifer Anne Steeden, Vivek Muthurangu:
FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation. CoRR abs/2203.13729 (2022) - [i2]Endrit Pajaziti, Javier Montalt-Tordera, Claudio Capelli, Raphaël Sivera, Emilie Sauvage, Silvia Schievano, Vivek Muthurangu:
Deep neural networks for fast acquisition of aortic 3D pressure and velocity flow fields. CoRR abs/2208.12156 (2022) - 2020
- [i1]Javier Montalt-Tordera, Vivek Muthurangu, Andreas Hauptmann, Jennifer Anne Steeden:
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction. CoRR abs/2012.05303 (2020)
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