lemoshu Goto Github PK

ac-mt

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

artminer

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

asgnet

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

attack_landmark_detection

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

awesome-object-detection

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

biomechanics-informed-motion-tracking

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

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

ca-net

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

cl-segmentation

comir

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

cooperative_training_and_latent_space_data_augmentation

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

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

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"

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

hugo-academic

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

inf-net

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

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

lemoshu.github.io

lihang-code

《统计学习方法》的代码实现

lstm4imagecompression

Graduation Project: Image Compression based on LSTM-pytorch implement

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

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pydata-notebook

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-image-comp-rnn

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks