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concept_discovery_svd

Automatic identification of regions in the latent space of a model that correspond to unique concepts, namely to concepts with a semantically distinct meaning.

conceptattribution

Concept Attribution with Regression Concept Vectors

eresamont2

fitnesscheck-template

Starter project for the 645-1 module

flower

Real-time monitor and web admin for Celery distributed task queue

health-prevention-template

Starter project for the 645-1 module

imimic-rcvs

This repository contains the code for implementing Bidirectional Relevance scores for Digital Histopathology, which was used for the results in the iMIMIC workshop paper: Regression Concept Vectors for Bidirectional Explanations in Histopathology

imvip2019

This reporitory contains the code for replicating the experiments in "Visualizing and interpreting feature reuse of pretrained CNNs for histopathology", submitted as a short abstract at IMVIP2019.

intentionally_flawed_models

This repository contains the scripts to replicate the experiments in Interpreting Intentionally Flawed Models with Linear Probes

interpretablewsitornaseq

An interpretable approach based on trainable attention that identifies which regions in H&E slides of colorectal cancer are the most informative about RNA transcriptomics

intro-interpretableai

Repository of the main source code for the assignments of the "Introduction to interpretable AI" course

kheops

mapathon

Mapathon sample React frontend

mapathon-backend

REST API for the Mapathon Project (645-1)

multitask_adversarial

Repository for our work on multi task adversarial CNNs

nifti-to-seg

Script allowing to convert a NIfTI file with ROIs to the DICOM SEG format.

opensunday

React Frontend for the OpenSunday Project (Module 645-1)

opensunday-backend

ASP.NET Core Backend Template for the OpenSunday Project (Module 645-1)

pfyn-finges-permissions

Permissions Manager for the Pfyn-Finger 645 Project

pfyn-finges-template

Starter project for the 645-1 module

process_l1

UC1 for PROCESS-project. The use case tackles cancer detection and tissue classification on the latest challenges in cancer research using histopathology images, such as CAMELYON and TUPAC.

process_l2

Layer II of PROCESS UC1 software library camnet

process_l3

Layer III of UC1 PROCESS: Performance boosting and interpretability

qrfinges

Projet HES 646-2 - Projet de développement d'une application mobile de collecte de données géographique

quantimage-melampus

Machine learning infrastracture for SPHN/Imagine project

quantimage-v2-info

A One-Stop Tool for Clinical Radiomics Research

quantimage2-frontend

React Frontend for the QuantImage v2 Platform

quantimage2-kheops

Customized Kheops Docker Compose files for the QuantImage v2 platform

quantimage2-setup

Setup scripts to create a new instance of the QuantImage v2 Platform

quantimage2_backend

Backend of the QuantImage v2 Platform