EIDOSLAB

torchstain

Stain normalization tools for histological analysis and computational pathology

simplify

Simplification of pruned models for accelerated inference | SoftwareX https://doi.org/10.1016/j.softx.2021.100907

UNITOPATHO

Dataset of 9536 H&E-stained patches for colorectal polyps classification and adenomas grading | ICIP21 https://doi.org/10.1109/ICIP42928.2021.9506198

entangling-disentangling-bias

EnD: Entangling and Disentangling deep representations for bias correction | CVPR21 https://doi.org/10.1109/CVPR46437.2021.01330

unbiased-contrastive-learning

Code for the paper "Unbiased Supervised Contrastive Learning" | ICLR 2023 https://openreview.net/forum?id=Ph5cJSfD2XN

contrastive-brain-age-prediction

Code for the paper "Contrastive learning for regression in multi-site brain age prediction" | ISBI 2023 https://doi.org/10.1109/ISBI53787.2023.10230733

swarm-cpupin

Automatic CPU pinning for docker swarm based GPU HPC cluster

unveiling-covid19-from-cxr

Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data | IJERPH https://doi.org/10.3390/ijerph17186933

deep-learning-reading-group

Deep Learning Reading Group (DLRG) at Computer Science dept., Unito

ICIAP2021-T7-pruning

LOBSTER

LOss-Based SensiTivity rEgulaRization: towards deep sparse neural networks | Neural Networks https://doi.org/10.1016/j.neunet.2021.11.029

NEq

Official implementation for "To update or not to update? Neurons at equilibrium in deep models"

towards-efficient-capsule-networks

UC3-UNITOBrain

UC3-UNITOBrain, EDDL/ECV Implementation

bridging-debiasing-privacy-deep-learning

Bridging the gap between debiasing and privacy for deep learning | Responsible PR&MI Workshop, ICCV 2021 https://doi.org/10.1109/ICCVW54120.2021.00424

cac-score-prediction

SeReNe

Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks | TNN https://doi.org/10.1109/TNNLS.2021.3084527

.github

AI_Health_YOLO

AIF360

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

covid-two-step

Source code for the paper "A two-step radiologist-like approach for covid-19 computer-aided diagnosis from chest x-ray images." | ICIAP 2022

eidos-education

Eidos Education

eidoslab.github.io

EIDOSLab website

GBIC

Graph based image compression

KD_and_CAC

CAC computation with knowledge distillation

nerf-ensemble-two-is-better-than-one

Neural-Network-derived-perfusion-maps

pruning_tutorial

torch-segmentation-3d

UC2-UniToPatho

DeepHealth EDDL/ECVL scripts for train and inference neural network on UniToPatho dataset