Pinned Repositories
awesome-missing-modality-for-medical-images
A comprehensive review of techniques to address the missing-modality problem for medical images
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
LS-GC
MATLAB implementation of graph cuts, level set active contour, and 4D graph search.
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.
Papers
My reading list and personal summaries. Most of the papers are in the field of medical image analysis and computer vision.
SynCT_TcMRgFUS
Official PyTorch Implementation of "Synthetic CT Skull Generation for Transcranial MR Imaging–Guided Focused Ultrasound Interventions with Conditional Adversarial Networks"
han-liu's Repositories
han-liu/SynCT_TcMRgFUS
Official PyTorch Implementation of "Synthetic CT Skull Generation for Transcranial MR Imaging–Guided Focused Ultrasound Interventions with Conditional Adversarial Networks"
han-liu/awesome-missing-modality-for-medical-images
A comprehensive review of techniques to address the missing-modality problem for medical images
han-liu/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.
han-liu/LS-GC
MATLAB implementation of graph cuts, level set active contour, and 4D graph search.
han-liu/Papers
My reading list and personal summaries. Most of the papers are in the field of medical image analysis and computer vision.
han-liu/awesome-partial-label-learning-medical-images
A comprehensive review of techniques to learn from partially labeled medical image datasets
han-liu/Bone-Chest-X-rays
Bone-age prediction (regression) | Thoracic disease diagnosis (multi-label classification)
han-liu/COLosSAL
Official implementation of COLosSAL [MICCAI 2023]
han-liu/crossmoda2023
1st place solution for MICCAI challenge CrossMoDA 2023 (unsupervised domain adaptation for medical images)
han-liu/han-liu.github.io
Personal website
han-liu/Pneumonia-detection
Our solution for 2018 Kaggle RSNA competition (pneumonia detection in Chest X-rays)
han-liu/DiODe
DiODe: Algorithm for marker orientation estimation for directional DBS
han-liu/maximum-coverage-location
A Python library for solving maximum coverage location problem
han-liu/MICCAI23
Links for MICCAI 2023
han-liu/nnUNet