gaozhitong

SP_guided_Noisy_Label_Seg

This repository contains a PyTorch implementation of the MICCAI 2021 paper "Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation".

MoSE-AUSeg

The official code repo for the paper "Mixture of Stochastic Experts for Modeling Aleatoric Uncertainty in Segmentation". (ICLR 2023)

ATTA

Code for "ATTA: Anomaly-aware Test-Time Adaptation for Out-of-Distribution Detection in Segmentation"

CARSSS

Official re-implementation of the Calibrated Adversarial Refinement model described in the paper "Calibrated Adversarial Refinement for Stochastic Semantic Segmentation"

cs188-AI-pacman

Implementation of various AI techniques to solve pacman game. It is part of CS188 AI course from UCB.

gaozhitong

gaozhitong.github.io

openslide-python

Python bindings to OpenSlide

PHiSeg-code

Tensorflow Code for "PHiSeg: Capturing Uncertainty in Medical Image Segmentation", Proc. MICCAI 2019

PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

stochastic_segmentation_networks

Stochastic Segmentation Networks