xhxhya

xhxhya's Stars

• awmulyadi/XADLiME

  We propose a novel deep-learning approach through eXplainable AD Likelihood Map Estimation (XADLiME) for AD progression modeling over 3D sMRIs using clinically-guided prototype learning

  Language:Python52

• vkola-lab/ncomms2022

  Multimodal deep learning for Alzheimer's disease dementia assessment

  Language:Python8124

• PaddlePaddle/PaddleSeg

  Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

  Language:Python8.4k1.7k

• axios/axios

  Promise based HTTP client for the browser and node.js

  Language:JavaScript105k10.8k

• garciaml/Autism-3D-CNN-brain-sMRI

  Language:Python6

• vcowwy/paddle-grad-cam

  Language:Python41

• eepgxxy/Paddle_Attention_CNNs

  Some attention boosted CNNs implemented using PaddlePaddle, mainly for classification tasks.

  Language:Python21

• weidafeng/Efficient-SlowFast

  Efficient dual attention SlowFast networks for video action recognition

  Language:Python171

• moboehle/Pytorch-LRP

  Basic LRP implementation in PyTorch

  Language:Jupyter Notebook15850

• open-mmlab/mmaction2

  OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

  Language:Python4.1k1.2k

• facebookresearch/SlowFast

  PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

  Language:Python6.4k1.2k

• FCYtheFreeman/MDD_sMRI_classification_PyTorch

  3D sMRI data classification using PyTorch.

  Language:Python131

• vb100/Visualize-3D-MRI-Scans-Brain-case

  The notebook introduces how to visualize 3D MRI data (Brain Scans case)

  Language:Jupyter Notebook229

• IAmSuyogJadhav/3d-mri-brain-tumor-segmentation-using-autoencoder-regularization

  Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

  Language:Jupyter Notebook365114

• hila-chefer/Transformer-Explainability

  [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

  Language:Jupyter Notebook1.7k231

• jacobgil/vit-explain

  Explainability for Vision Transformers

  Language:Python79090

• google-research/vision_transformer

  Language:Jupyter Notebook9.8k1.2k

• jeonsworld/ViT-pytorch

  Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)

  Language:Jupyter Notebook1.9k362

• sanchezgrsa/Preclinical-Stage-Alzheimers-Disease-Detection

  Language:Python144

• faaltay/Preclinical-Stage-Alzheimers-Disease-Detection

  Language:Python11

• razeineldin/NeuroXAI

  Explainability of deep neural networks for MRI analysis of brain tumors

  Language:Jupyter Notebook151

• fitushar/3D-Grad-CAM

  This repo contains Grad-CAM for 3D volumes.

  Language:Jupyter Notebook7412

• fitushar/3D-GuidedGradCAM-for-Medical-Imaging

  This Repo containes the implemnetation of generating Guided-GradCAM for 3D medical Imaging using Nifti file in tensorflow 2.0. Different input files can be used in that case need to edit the input to the Guided-gradCAM model.

  Language:Python978

• BR-IDL/PaddleViT

  :robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

  Language:Python1.2k318

• PaddlePaddle/PaddleVideo

  Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video tagging and sport action detection.

  Language:Python1.5k374

• jibikbam/CNN-3D-images-Tensorflow

  3D image classification using CNN (Convolutional Neural Network)

  Language:Python256113

• JuanRuiz135/3D-Densenet-Alzheimer

  3D Densenet Ensemble applied in 4-way classification of Alzheimer's Disease (BI 2020)

  Language:Python202

• wangyirui/AD_Prediction

  Alzheimer's Disease Prediction by using ResNet, AlexNet

  Language:Python20071

• bsolano/Alzheimer-ResNets

  Use of 3D ResNets for Alzheimer Disease early detection.

  Language:Python63

• thanhkaist/AttentionResnet

  Classification with backbone Resnet and attentions: SE-Channel Attention, BAM - (Spatial Attention, Channel Attention, Joint Attention), CBAM - (Spatial Attention, Channel Attention, Joint Attention)

  Language:Python576