han-liu

SynCT_TcMRgFUS

Official PyTorch Implementation of "Synthetic CT Skull Generation for Transcranial MR Imaging–Guided Focused Ultrasound Interventions with Conditional Adversarial Networks"

ModDropPlusPlus

Official PyTorch Implementation of ModDrop++ [MICCAI 2022 (early accept)]. A simple yet effective approach to tackle missing-modality problem for multi-modality medical imaging data.

awesome-missing-modality-for-medical-images

A comprehensive review of techniques to address the missing-modality problem for medical images

LS-GC

MATLAB implementation of graph cuts, level set active contour, and 4D graph search.

Papers

My reading list as a Ph. D. student. Most of the papers are in the field of medical image analysis and computer vision.

awesome-partial-label-learning-medical-images

A comprehensive review of techniques to learn from partially labeled medical image datasets

Bone-Chest-X-rays

Bone-age prediction (regression) | Thoracic disease diagnosis (multi-label classification)

COLosSAL

Official implementation of COLosSAL [MICCAI 2023]

crossmoda2023

1st place solution for MICCAI challenge CrossMoDA 2023 (unsupervised domain adaptation for medical images)

han-liu.github.io

Personal website

Pneumonia-detection

Our solution for 2018 Kaggle RSNA competition (pneumonia detection in Chest X-rays)

DiODe

DiODe: Algorithm for marker orientation estimation for directional DBS

maximum-coverage-location

A Python library for solving maximum coverage location problem

MICCAI23

Links for MICCAI 2023

nnUNet