28 citations
- Université de MontréalCA14 papers
- Polytechnique MontréalCA8 papers
- École de Technologie SupérieureCA7 papers
- Mila - Quebec Artificial Intelligence InstituteCA6 papers
- Centre National de la Recherche ScientifiqueFR4 papers
- Laboratoire de traitement de l'information en santé3 papers
- Palacký University OlomoucCZ3 papers
- CentraleSupélecFR2 papers
- Max Planck Institute for Human Cognitive and Brain SciencesDE2 papers
- Université Paris-SaclayFR2 papers
- Aix-Marseille UniversitéFR1 paper
- Brno University of TechnologyCZ1 paper
18 papers
Segmentation of spinal rootlets across MRI contrasts with RootletSeg
Katerina Krejci, Jiri Chmelik, Sandrine Bedard +5
Purpose: To develop a deep learning method for the automatic segmentation of spinal nerve rootlets on various MRI scans. Material and Methods: This retrospective study included MRI…
Unpaired Modality Translation for Pseudo Labeling of Histology Images
Arthur Boschet, Armand Collin, Nishka Katoch +1
The segmentation of histological images is critical for various biomedical applications, yet the lack of annotated data presents a significant challenge. We propose a microscopy ps…
Development and Comparative Analysis of Machine Learning Models for Hypoxemia Severity Triage in CBRNE Emergency Scenarios Using Physiological and Demographic Data from Medical-Grade Devices
Santino Nanini, Mariem Abid, Yassir Mamouni +3
This paper presents the development of machine learning (ML) models to predict hypoxemia severity during emergency triage, especially in Chemical, Biological, Radiological, Nuclear…
SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury
Enamundram Naga Karthik, Jan Valošek, Lynn Farner +10
Spinal cord injury (SCI) is a devastating incidence leading to permanent paralysis and loss of sensory-motor functions potentially resulting in the formation of lesions within the…
Harmonizing Flows: Leveraging normalizing flows for unsupervised and source-free MRI harmonization
Farzad Beizaee, Gregory A. Lodygensky, Chris L. Adamson +5
Lack of standardization and various intrinsic parameters for magnetic resonance (MR) image acquisition results in heterogeneous images across different sites and devices, which adv…
The Impact of LoRA Adapters on LLMs for Clinical Text Classification Under Computational and Data Constraints
Thanh-Dung Le, Ti Ti Nguyen, Vu Nguyen Ha +3
Fine-tuning Large Language Models (LLMs) for clinical Natural Language Processing (NLP) poses significant challenges due to domain gap, limited data, and stringent hardware constra…