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aminn

Code for our MICCAI 2021 paper "AMINN: Autoencoder-based Multiple Instance Neural Network Improves Outcome Prediction of Multifocal Liver Metastases".

benchmarking-gnns

Repository for benchmarking graph neural networks

capsnet

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

capsnet-keras

A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.

conch

A vision-language foundation model for computational pathology - Nature Medicine

d2l-en

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

gjiananchen.github.io

Github Pages template for academic personal websites

gmm-augmentation

hecktor

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

miccai2021-openreviewanalysis

Starting from MICCAI 2021, all accepted papers and their corresponding reviews are publicly available on OpenReview. This repo contains some high-level summarizations of this year's MICCAI papers based on OpenReview.

minns

Codes for our paper "Revisiting Multiple Instance Neural Networks".

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI

nnunet

nuclei.io

nuclei.io: Human-in-the-loop active learning framework for pathology image analysis

pgdips

Pytorch implementation for the manuscript "General stain deconvolution of histopathology images with physics-guided deep learning"

prov-gigapath

Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

recov

sra

style-augmentation

PyTorch implementation of neural style randomization for data augmentation

tumor-capsnet

Reproduce results from "Brain Tumor Type Classification via Capsule Networks" (Afshar et al.) for a final project in a Deep Learning class at Cal Poly San Luis Obispo.

uhn-radcure-challenge

Official repository of the 2020 UHN RADCURE challenge.