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Jianan Chen's Projects

aminn icon aminn

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

capsnet icon capsnet

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

capsnet-keras icon capsnet-keras

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

conch icon conch

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

d2l-en icon d2l-en

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

mae icon mae

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

miccai2021-openreviewanalysis icon 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 icon minns

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

pgdips icon pgdips

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

pyprobml icon pyprobml

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

tumor-capsnet icon 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.

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