lemoshu

AC-MT

[MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation

CL-Segmentation

CPCL

[JBHI'22] CPCL for semi-supervised segmentation

D-Persona

Official Code for our CVPR 2024 Paper "Diversified and Personalized Multi-rater Medical Image Segmentation"

LapIRN

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

Learn_Noisy_Labels_Medical_Images

[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

MTCL

[MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning

Multi-modal-learning

Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI.

PLIL

[MICCAI'23] Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels

Continual-Learning-Medical-Adaptation

A Comprehensive Survey of Continual Learning in Medical Scenarios

lemoshu/MTCL

[MICCAI21, TMI22] Mean-Teacher-Assisted Confident Learning

lemoshu/AC-MT

[MedIA23] Ambiguity-selective consistency regularization for mean-teacher semi-supervised medical image segmentation

lemoshu/Multi-modal-learning

Multi-Modal Learning from Unpaired Images: Application to Multi-Organ Segmentation in CT and MRI.

lemoshu/LapIRN

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

lemoshu/PLIL

[MICCAI'23] Towards Expert-Amateur Collaboration: Prototypical Label Isolation Learning for Left Atrium Segmentation with Mixed-Quality Labels

lemoshu/CPCL

[JBHI'22] CPCL for semi-supervised segmentation

lemoshu/Learn_Noisy_Labels_Medical_Images

[NeurIPS 2020] Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

lemoshu/CL-Segmentation

lemoshu/LSTM4ImageCompression

Graduation Project: Image Compression based on LSTM-pytorch implement

lemoshu/SCL

[MedIA'24] Office implementation of SCL for multi-site SSL

lemoshu/ArtMiner

(CVPR 2019) Pytorch implementation of paper "Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning"

lemoshu/ASGNet

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation (CVPR 2021)

lemoshu/attack_landmark_detection

The source code of "Miss the Point: Targeted Adversarial Attack on Multiple Landmark Detection" (in MICCAI 2020)

lemoshu/awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

lemoshu/D-Persona

Official Code for our CVPR 2024 Paper "Diversified and Personalized Multi-rater Medical Image Segmentation"

lemoshu/Biomechanics-informed-motion-tracking

[MICCAI'20] Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI

lemoshu/breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

lemoshu/CA-Net

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

lemoshu/CoMIR

Codes for joint representation learning, evaluation through registration and comparison to image tranlation based registration

lemoshu/Cooperative_Training_and_Latent_Space_Data_Augmentation

[MICCAI 2021 Oral] Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

lemoshu/hugo-academic

The website designer for Hugo. Build and deploy a beautiful website in minutes :rocket:

lemoshu/Inf-Net

code for "Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Scans" submit to TMI2020.

lemoshu/lemoshu.github.io

lemoshu/lihang-code

《统计学习方法》的代码实现

lemoshu/Pytorch-Project-Template

A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.

lemoshu/RANSAC-Flow

(ECCV 2020) RANSAC-Flow: generic two-stage image alignment

lemoshu/Recursive-Cascaded-Networks

[ICCV 2019] Recursive Cascaded Networks for Unsupervised Medical Image Registration

lemoshu/Seg-with-distance-map

How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

lemoshu/SimpleCRF

matlab and python wrap of crf and dense crf, both 2d and 3d are supported

lemoshu/tutorials2019