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Fernando Pérez-García

Wellcome EPSRC Centre for Interventional and Surgical Sciences, School of Biomedical Engineering and Imaging Sciences

Region-based Contrastive Pretraining for Medical Image Retrieval with Anatomic Query


May 09, 2023
Ho Hin Lee, Alberto Santamaria-Pang, Jameson Merkow, Ozan Oktay, Fernando Pérez-García, Javier Alvarez-Valle, Ivan Tarapov

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Compositional Zero-Shot Domain Transfer with Text-to-Text Models


Mar 23, 2023
Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland

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* Accepted at TACL, pre-MIT Press publication version. 16 pages, 4 figures 

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MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images


Mar 23, 2022
Andres Diaz-Pinto, Sachidanand Alle, Alvin Ihsani, Muhammad Asad, Vishwesh Nath, Fernando Pérez-García, Pritesh Mehta, Wenqi Li, Holger R. Roth, Tom Vercauteren, Daguang Xu, Prerna Dogra, Sebastien Ourselin, Andrew Feng, M. Jorge Cardoso

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Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures


Jun 22, 2021
Fernando Pérez-García, Catherine Scott, Rachel Sparks, Beate Diehl, Sébastien Ourselin

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* Accepted at the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2021) 

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A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections


May 24, 2021
Fernando Pérez-García, Reuben Dorent, Michele Rizzi, Francesco Cardinale, Valerio Frazzini, Vincent Navarro, Caroline Essert, Irène Ollivier, Tom Vercauteren, Rachel Sparks, John S. Duncan, Sébastien Ourselin

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* To be published in the International Journal of Computer Assisted Radiology and Surgery (IJCARS) - Special issue MICCAI 2020 

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Simulation of Brain Resection for Cavity Segmentation Using Self-Supervised and Semi-Supervised Learning


Jun 28, 2020
Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin

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* 13 pages, 6 figures, accepted at the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020 

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TorchIO: a Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning


Mar 09, 2020
Fernando Pérez-García, Rachel Sparks, Sebastien Ourselin

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* 14 pages, 4 figures 

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