347 citations · 1.3k across the 70 of their papers we have counts for
15 papers · 1 filter
X-ray imaging detector for radiological applications in the harsh environments of low-income countries
Mario A. Chavarria, Matthias Huser, Sebastien Blanc +9
This paper describes the development of a novel medical Xray imaging system adapted to the needs and constraints of low and middle income countries. The developed system is based o…
Quantifying Explainers of Graph Neural Networks in Computational Pathology
Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar +7
Explainability of deep learning methods is imperative to facilitate their clinical adoption in digital pathology. However, popular deep learning methods and explainability techniqu…
Anomaly Detection on X-Rays Using Self-Supervised Aggregation Learning
Behzad Bozorgtabar, Dwarikanath Mahapatra, Guillaume Vray +1
Deep anomaly detection models using a supervised mode of learning usually work under a closed set assumption and suffer from overfitting to previously seen rare anomalies at traini…
A Signal Peak Separation Index for axisymmetric B-tensor encoding
Gaëtan Rensonnet, Jonathan Rafael-Patiño, Benoît Macq +3
Diffusion-weighted MRI (DW-MRI) has recently seen a rising interest in planar, spherical and general B-tensor encodings. Some of these sequences have aided traditional linear encod…
CNN-Based Ultrasound Image Reconstruction for Ultrafast Displacement Tracking
Dimitris Perdios, Manuel Vonlanthen, Florian Martinez +2
Thanks to its capability of acquiring full-view frames at multiple kilohertz, ultrafast ultrasound imaging unlocked the analysis of rapidly changing physical phenomena in the human…
Automated Detection of Cortical Lesions in Multiple Sclerosis Patients with 7T MRI
Francesco La Rosa, Erin S Beck, Ahmed Abdulkadir +4
The automated detection of cortical lesions (CLs) in patients with multiple sclerosis (MS) is a challenging task that, despite its clinical relevance, has received very little atte…