> Github repository
This repository contains the code used to combine macroscopic tractography information with microscopic multi-fixel model estimates in order to improve the accuracy in the estimation of the microstructural properties of neural fibers in a specified tract.
> Github repository
The BMAT software is a complete and easy-to-use local open-source neuroimaging analysis tool with a graphical user interface (GUI) that uses the BIDS format to organize and process brain MRI data for MS imaging research studies. BMAT provides the possibility to translate data from MRI scanners to the BIDS structure, create and manage BIDS datasets as well as develop and run automated processing pipelines.
BMAT is now compatible to work with remote server using shared samba folder and a slurm scheduler to process data on remote server. It has to be noted that this feature has been implemented for users based in the Institute of NeuroSciences (IoNS) from UCLouvain. Therefore, it may not work easily with every servers, but feel free to fork the code and adapt it for your institue.
> Github repository
In this paper, we explore the application of existing foundation models to cytological classification tasks, focusing on low-rank adaptation (LoRA), a parameter-efficient fine-tuning method well-suited to few-shot learning scenarios. We evaluate five foundation models across four cytological classification datasets. Our results demonstrate that fine-tuning the pre-trained backbones with LoRA significantly enhances model performance compared to merely fine-tuning the classifier head, achieving state-of-the-art results on both simple and complex classification tasks while requiring fewer data samples.
Cardinal est le backend sécurisé de référence pour la Health-Tech. Que vous conceviez des dispositifs médicaux, des dossiers médicaux et patients (DMI-DPI), ou des applications patient-médecin, le Backend et les SDKs Cardinal offrent les outils et le support pour concrétiser votre vision, réduire vos coûts de développement et accélérer votre mise sur le marché. Chaque fonctionnalité disponible dans Cardinal se concentre sur…
The use of Monte Carlo dose calculation instead of typical analytical algorithms can improve the accuracy of proton therapy treatment planning. Especially, range uncertainties are significantly reduced in heterogeneous anatomies. MCsquare, a new fast Monte Carlo code, has been developed to simulate proton PBS treatments with the accuracy and calculation speed required in the clinic….
PARROT, which stands for Platform for ARtificial intelligence guided Radiation Oncology Treatment, is a user-friendly, free, and open-source web platform. It allows users to visualize DICOM files, run AI models, display and evaluate predictions easily. The platform includes several trained state-of-the-art dose prediction and contour segmentation models. Users can also add their own models using…
COMUNICARE Analytics est une plateforme d’analyse de données médicales et d’aide à la décision médicale développée par Comunicare Solutions. Conçue pour répondre aux besoins des professionnels de la santé, cette solution repose sur le framework de calcul distribué open-source Apache Spark, offrant des capacités d’analyse à grande échelle et des prédictions précises pour une prise…
FreeMedispring : un outil de facturation et de prescription électronique entièrement gratuit. La coopérative Medispring a décidé de faciliter l’accès de tous les soignants belges aux outils désormais incontournables dans leur profession, et de mettre gratuitement à leur disposition une partie de son dossier médical. FreeMedispring permet à tout professionnel de la santé sans…
The use of data sciences in biomanufacturing routine operations and process improvement can help companies improve their bottom line and remain competitive in a dynamic market, with positive impact on sustainability. Hercule is a technology platform composed of a software suite and a set of services, successfully applied on more than 25 processes so far. Hercule software is composed of a series of modules, for biomanufacturing data structuring, day-to-day…
LiblineaR is an R package for large-scale linear modeling supporting classification and regression of large datasets. The original software in C/C++ was developed by Prof. Chih-Jen Lin and his team at the Machine Learning Group of the Taiwan University. As most of our developments are done in the open source R language, we have developed the R library LiblineaR, making all the…