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
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.
3D Slicer module as a GUI for blockmatching, a robust registration tool
A script I use to automatically update 3D Slicer every night
3D Slicer module to animate objects using linear transforms
3D Slicer module to visualize the EPISURG dataset and segment postoperative brain resection cavities using deep learning.
3D Slicer modules for brain segmentation using deep learning.
This extension contains only a module with some tools to install PyTorch inside Slicer, using the best possible version.
3D Slicer module for TorchIO.
App to split a Spotify list in children playlists sorted by tempo
Python implementation of the STAPLE segmentation algorithm
Examples that illustrate how to use 3D Slicer via Jupyter notebooks in Python
My solution to the Synacor Challenge
Use ChatGPT with your voice (in any language) and Telegram.
Transcribe looong voice notes so you can read instead of listening.
A minimal PyTorch implementation of probabilistic diffusion models for 2D datasets.
Medical imaging toolkit for deep learning
Typer, build great CLIs. Easy to code. Based on Python type hints.
"pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.