a-fsh-r's Stars
jafarinia/snuffy
Snuffy: Efficient Whole Slide Image Classifier For Efficient and Performant Diagnosis in Pathology Whole Slide Images
a-fsh-r/IBO
IBO: Inpainting-Based Occlusion to Enhance Explainable Artificial Intelligence Evaluation in Histopathology
CristianoPatricio/Explainable-Deep-Learning-Methods-in-Medical-Image-Classification-A-Survey
Official repository of the paper "Explainable Deep Learning Methods in Medical Image Classification: A Survey", ACM Computing Surveys (CSUR) 2023
linghuyuhangyuan/M2S
Official PyTorch Code and Models of "Minutes to Seconds: Speeded-up DDPM-based Image Inpainting with Coarse-to-Fine Sampling", ICME 2024
chr5tphr/zennit
Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.
AlexBinder/LRP_Pytorch_Resnets_Densenet
implements some LRP rules to get explanations for Resnets and Densenet-121, including batchnorm-Conv canonization and tensorbiased layers coming up when canonizing densenets. uses custom backward. should work a GPU.
Liozb/RePaint--no-resample
This code disables repaint resampling method and use mean of batch to get inpainting
1Konny/gradcam_plus_plus-pytorch
A Simple pytorch implementation of GradCAM and GradCAM++
kazuto1011/grad-cam-pytorch
PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)
gitmehrdad/SFSORT
SFSORT: Scene Features-based Simple Online Real-Time Tracker
IAmS4n/HEROHE
Implementation of Piaze Team for HEROHE challenge
tcxxxx/WSI-analysis
Python scripts for automatic Whole-Slide Image preprocessing.
alexmagsam/metastasis-detection
PyTorch library for breast cancer metastasis detection in whole-slide images of sentinel lymph node tissue from the Camelyon dataset
oncoml/camelyon
Machine learning on pathology slides
zhenzhel/lift_map_detect
The official code release for Unsupervised Out-of-distribution Detection with Diffusion Inpainting (ICML 2023)
virabehnam/CAMELYON16-Breast-Cancer-Detection
3dimaging/DeepLearningCamelyon
DeepLearning - Camelyon16 dataset
longluu/DL-CancerDetection-CAMELYON16
Use deep learning models to detect/localize cancer tumor in giga-pixel images of breast
rklymentiev/nsp-course
Python implementations for the "Complete neural signal processing and analysis: Zero to hero" course
rameerez/brain-computer-interfacing
š§ Brain-Computer Interfacing bootcamp course + projects @ Saturdays.AI (BCI + AI)
wjun0830/Out-of-Distribution-Baseline
Baseline for out-of-distribution detection
HrithikNambiar/Out-of-Distribution-Detection-for-Skin-Lesion-Classification
Deep Learning (CS F425): Course Project
hendrycks/error-detection
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
xieshuqin/Energy-OOD
Energy-based Out-of-distribution Detection
wetliu/energy_ood
bangxiangyong/bae-ood-images
Bayesian autoencoders for Out-of-distribution detection (image dataset pairs)
pokaxpoka/deep_Mahalanobis_detector
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
paaatcha/gram-ood
Code for the best paper at ISIC Skin Image Analysis Workshop paper at CVPR 2020.
HarryAnthony/Mahalanobis-OOD-detection
A framework for studying the best practises for Mahalanobis distance for OOD detection
andrijazz/ash
Code release for paper Extremely Simple Activation Shaping for Out-of-Distribution Detection