Name: Fernando Pérez-García
Type: User
Company: @microsoft
Bio: Senior Research Machine Learning Engineer at the Biomedical Imaging group
of Microsoft Research Cambridge UK.
Twitter: fepegar_
Location: London, United Kingdom
Blog: www.fepegar.com
Fernando Pérez-García's Projects
Code for "Pérez-García et al. 2021, Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures, MICCAI 2021".
A data management platform for the web, developed by Kitware
PyTorch implementation of HighRes3DNet
🍻 A CLI workflow for the administration of macOS applications distributed as binaries
Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning
Coursework for UCL MPHYGB06: Information Processing in Medical Imaging
Tutorial about combining PyTorch and NiftyNet for deep learning and medical image computing
My submission to the MICCAI Educational Challenge 2020.
Surgical planning for breast cancer.
Little Python tool to manage Hamamatsu NDPI files
This project contains command line tools to perform rigid, affine and non-linear registration of nifti or analyse images as well as utilities
A minimal Jekyll Theme to host your resume (CV)
List of resources to better understand medical images orientation.
Algorithm to simulate resection surgery on brain MRI scans. Published in MICCAI 2020, extended in IJCARS.
RESSEG: automatic segmentation of postoperative brain cavities on 3D MRI using deep learning.
Code, data and model for Pérez-García et al. 2021, "A self-supervised learning strategy for postoperative brain cavity segmentation simulating resections"
Dummy, temporary repository. You are looking for https://github.com/fepegar/resseg-ijcars
Multi-platform, free open source software for visualization and image computing.