hemo0826

pytorch-grad-cam

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

awesome-single-cell

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Awesome-FL

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

SegmentAnything3D

[ICCV'23 Workshop] SAM3D: Segment Anything in 3D Scenes

awesome-machine-unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

SynthSeg

Contrast-agnostic segmentation of MRI scans

Inf-Net

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images, IEEE TMI 2020.

open_brats2020

Top 10 brats 2020 Solution

mri-deep-learning-tools

Resurces for MRI images processing and deep learning in 3D

SegGradCAM

SEG-GRAD-CAM: Interpretable Semantic Segmentation via Gradient-Weighted Class Activation Mapping

Awesome-Federated-Unlearning

Awesome Federated Unlearning (FU) Papers (Continually Update)

Co-BioNet

[Nature Machine Intelligence Journal] Official pytorch implementation for Uncertainty-Guided Dual-Views for Semi-Supervised Volumetric Medical Image Segmentation

Gcam

Gcam is an easy to use Pytorch library that makes model predictions more interpretable for humans. It allows the generation of attention maps with multiple methods like Guided Backpropagation, Grad-Cam, Guided Grad-Cam and Grad-Cam++.

mri-braintumor-segmentation

MRI Brain Tumor Segmentation - BraTS Challenge 2020

Lung_Segmentation

Lung Segmentation UNet model on 3D CT scans

Pancreas-CT-image-and-volumetric-semantic-segmentation

Automatic image (2D) and volume (3D) binary semantic segmentation of pancreas computed tomography (CT) using UNet architecture.

Deep-3D-CNNs-for-MRI-Classification-with-Alzheimer-s-Disease-And-Grad-CAM-Visualization

Deep 3D CNNs for MRI Classification with Alzheimer's Disease And Grad-CAM for Visualization

HippocampusSegmentationMRI

Hippocampus Segmentation from MRI using 3D Convolutional Neural Networks in PyTorch

3dMRISegmentation

Code for NeuroImage: Clinical paper "Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network."

pytorch-mri-segmentation-3D

MTL-Segmentation

Meta Transfer Learning for Few Shot Semantic Segmentation using U-Net

slide_viewer_47

A pyqt5 widget for viewing whole-slide images with Openslide

brain_mri_medicalnet_classification

Brain MRIs classification using a ResNet-like architecture.

gbm-data-longitudinal

This repository contains code used to prepare the LUMIERE Glioblastoma dataset.

simple_wsi_viewer

A simple web application for for viewing and navigating pathology whole-slide-images in your browser.

MDD_sMRI_classification_PyTorch

3D sMRI data classification using PyTorch.

Survival-Time-Prediction-of-a-patient-using-LSTM-MLP-DBN

This repo is about predicting survival time of a patient using different deep learning techniques. Basically many models were developed before in literature .

SpotTune_MGMT_prediction

SpotTune project using UPENN GBM dataset

upenn-gbm-segmentation

Automated segmentation of Glioblastoma tumors from MRI scans