chenshuomr

chenshuomr's Stars

• tanguyduval/imtool3D_td

  3D Image Viewer with ROI tools for Matlab ( NIFTI viewer, Manual segmentation )

  Language:MATLAB4410

• nikitadurasov/masksembles

  Official repository for the paper "Masksembles for Uncertainty Estimation" (CVPR 2021).

  Language:Python10015

• HiLab-git/SSL4MIS

  Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.

  Language:Python2.3k395

• smthomas-sci/SkinCancerSegmentation

  Repository supporting the paper titled "Interpretable Deep Learning Systems for Multi-Class Segmentation and Classification of Non-Melanoma Skin Cancer"

  Language:Jupyter Notebook115

• fepegar/torchio

  Medical imaging toolkit for deep learning

  Language:Python2.1k240

• MITK/MITK

  The Medical Imaging Interaction Toolkit.

  Language:C++717334

• summit4you/MITK-material-ZH

  Some material about MITK.org in chinese

  Language:C++188

• ImFusionGmbH/public-demos

  Example projects showcasing usage and integration of the ImFusion SDK

  Language:C++259

• rordenlab/MRIcroGL

  v1.2 GLSL volume rendering. Able to view NIfTI, DICOM, MGH, MHD, NRRD, AFNI format images.

  Language:Python20933

• Gaara-ops/Cinematic_Rendering

  电影渲染相关文档整理

  61

• araex/mitk-gem

  MITK - Generate Models (MITK-GEM) is a free open-source software pipeline to generate finite element models from image data.

  Language:C++3922

• SimVascular/SimVascular

  A comprehensive opensource software package providing a complete pipeline from medical image data segmentation to patient specific blood flow simulation and analysis.

  Language:C++251132

• UK-Digital-Heart-Project/4D-Flow-Dual-VENC

  Analysis pipeline for dual VENC 4D Flow CMR

  Language:MATLAB71

• AlaaLab/deep-learning-uncertainty

  Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.

  Language:Jupyter Notebook61477

• hutec/UncertaintyNN

  Implementation and evaluation of different approaches to get uncertainty in neural networks

  Language:Jupyter Notebook14030

• Alessandro-Franchini/Bayesian-Deep-Learning-Clarotto-Franchini-Lamperti

  In this project we aim at comparing a Bayesian Neural Network trained with Hamiltonian Monte Carlo and a MC Dropout Neural Network focusing on regression problems

  Language:Jupyter Notebook4

• JavierAntoran/Bayesian-Neural-Networks

  Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

  Language:Jupyter Notebook1.9k304

• tanyanair/segmentation_uncertainty

  Language:Python8424

• yuta-hi/pytorch_bayesian_unet

  Migrate to PyTorch. Re-implementation of Bayesian Convolutional Neural Networks (BCNNs)

  Language:Python6017

• NCIP/national-biomedical-image-archive

  The National Biomedical Imaging Archive (NBIA) is a free and open source service and software application that enables users to securely store, search, and download diagnostic medical images, providing a searchable national repository integrating in vivo cancer images with clinical and genomic data. Using role-based security, NBIA provides web-based access to de-identified DICOM images, image markup, annotations, and rich meta data.

  Language:Java2725

• cBioPortal/cbioportal

  cBioPortal for Cancer Genomics

  Language:Java690562

• yulequan/UA-MT

  code for MICCAI 2019 paper 'Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation'.

  Language:Python49098

• marcovirgolin/Uncertainty-Estimation-in-Deep-Nets

  Attempt to reproduce the toy experiment of http://bit.ly/2C9Z8St with an ensemble of nets and with dropout.

  Language:Python41

• yuta-hi/keras_bayesian_unet

  Bayesian U-Net for Keras

  Language:Python106

• xuebinqin/U-2-Net

  The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

  Language:Python8.8k1.5k

• suyanzhou626/UNet-Zoo

  Different U-Net implementations featuring a vanilla U-Net, probabilistic U-Net and PHiSeg. Each with a reversible variant aswell.

  5

• baumgach/PHiSeg-code

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

  Language:Python12330

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python77.3k45.7k

• DrSleep/tensorflow-deeplab-resnet

  DeepLab-ResNet rebuilt in TensorFlow

  Language:Python1.3k429

• divamgupta/image-segmentation-keras

  Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

  Language:Python2.9k1.2k