xinyiwan

xinyiwan's Stars

• BMEII-AI/RadImageNet

  RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.

  Language:Python34935

• ss-sun/Attri-Net

  Official implementation for paper "Inherently Interpretable Multi-Label Classification of Chest X-rays Using Class-Specific Counterfactuals"

  Language:Python52

• moboehle/B-cos

  B-cos Networks: Alignment is All we Need for Interpretability

  Language:Jupyter Notebook10511

• moboehle/CoDA-Nets

  Official implementation for the CVPR paper "Convolutional Dynamic Alignment Networks for Interpretable Classifications"

  Language:Jupyter Notebook285

• joonspk-research/generative_agents

  Generative Agents: Interactive Simulacra of Human Behavior

  17.8k2.3k

• peiwang062/SCOUT

  Language:Python115

• peiwang062/Deliberative-explanation

  Language:Python32

• awesome-mlss/awesome-mlss

  🤖 Machine Learning Summer School deadlines

  Language:HTML2.7k296

• NikonPic/BonetumorNet

  A Multitask Deep Learning Model for Simultaneous Detection, Segmentation and Classification of Bone Tumors on Radiographs

  Language:Python213

• Project-MONAI/monai-bootcamp

  Language:Jupyter Notebook6016

• ashleve/lightning-hydra-template

  PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

  Language:Python4.3k658

• kbressem/faimed3d

  Extension to fastai for volumetric medical data

  Language:Jupyter Notebook3313

• thomashirtz/notion-scholar

  Reference management solution using Python and Notion.

  Language:Python15623

• LKS-CHART/medical-imaging-nix

  A nix flake for generating development environments and singularity containers for medical imaging projects

  Language:Nix5

• scil-vital/TrackToLearn

  Public release of Track-to-Learn: A general framework for tractography with deep reinforcement learning

  Language:Python1910

• xinyiwan/ATLAS-Brain-Lesion-Segmentation

  Brain Lesion Segmentation

  Language:Jupyter Notebook21

• Project-MONAI/tutorials

  MONAI Tutorials

  Language:Jupyter Notebook1.9k684

• hossein1387/U-Net-Fixed-Point-Quantization-for-Medical-Image-Segmentation

  Repository containing code for "U-Net Fixed-Point Quantization for Medical Image Segmentation" paper at MICCAI2019

  Language:Python8417

• zhixuhao/unet

  unet for image segmentation

  Language:Jupyter Notebook4.6k2k

• dorltcheng/Transfer-Learning-U-Net-Deep-Learning-for-Lung-Ultrasound-Segmentation

  Language:Jupyter Notebook229

• usc-mrel/usc_speech_mri

  Language:MATLAB298

• as791/Multimodal-Brain-Tumor-Segmentation

  Multimodal Brain Tumor Segmentation using BraTS 2018 Dataset.

  Language:Jupyter Notebook4717

• scilus/scilpy

  The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox

  Language:Python6260

• djoerch/randomised_filtering

  Code for randomised tractogram filtering using rSIFT

  Language:Python1

• xinyiwan/fMRI-PhysioNoise

  A fMRI preprocessing tool

  Language:TeX1

• alexandervdm/gummi

  Simple LaTeX editor

  Language:C76596

• alshedivat/al-folio

  A beautiful, simple, clean, and responsive Jekyll theme for academics

  Language:HTML11.4k11.3k

• tcxxmqz/BiosignalProcess_V2

  Language:Python6

• neurospin/unicog

  Language:MATLAB97

• maartenmennes/ICA-AROMA

  ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.

  Language:Python9253