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JJSaenzGamboa's Projects

2016_bray_natprot icon 2016_bray_natprot

Supporting data files, documentation, and updated tips for the Cell Painting protocol

3dunetcnn icon 3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

advsemiseg icon advsemiseg

Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

brainbox icon brainbox

BrainBox is a web application that let's you annotate and segment 3D brain imaging data in real time, collaboratively.

c-pac icon c-pac

Configurable Pipeline for the Analysis of Connectomes

cookiecutter-data-science icon cookiecutter-data-science

A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 universities.

deepslide icon deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

gan-mri icon gan-mri

Code repository for Frontiers article 'Generative Adversarial Networks for Image-to-Image Translation on Multi-Contrast MR Images - A Comparison of CycleGAN and UNIT'

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

ipyvolume icon ipyvolume

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

keras-fcn icon keras-fcn

A playable implementation of Fully Convolutional Networks with Keras.

keras-gan icon keras-gan

Keras implementations of Generative Adversarial Networks.

mids icon mids

Medical Imaging Data Structure (based on BIDS)

monk_v1 icon monk_v1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

pyradiomics icon pyradiomics

Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks.

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