output
19992026
most citedA review: Deep learning for medical image segmentation using multi-modality fusion

677 citations

researchers with a paper here
collaborating institutions

230 papers

cs.CV2026

Ev-YOLO: Uncertainty-Aware Object Detection via a Unified Evidential Formulation

Simon Barbarit-Gaboriau, Hind Laghmara, Rémi Boutteau +1

Reliable uncertainty estimation is essential for deploying object detectors in autonomous systems operating in uncertain environments. Evidential Deep Learning (EDL) provides a pri…

cond-mat.mtrl-sci2026

Nanolamellar Hybrid High-Entropy Alloys with Superior Micromechanical Properties

Shivam Dangwal, Yoji Mine, Shohei Ueki +5

Metallic materials with nanolamellar structures, such as pearlitic steels, exhibit high strength with appropriate ductility. Considering the potential ability of such nanolamellar…

cs.AI2026

Statutory AI: Aligning Large Language Models With Legal Norms

Cindy Delage, Stéphane Canu, Marc Décombas +1

With the increasing development of AI regulatory frameworks, ensuring that artificial intelligence systems, particularly generative models, operate in accordance with legal and eth…

math.ST2026

Two-sample test with Wasserstein distance on Gaussian samples based on a log-normal approximation

Johann Clément-Cottuz, Maxime Bérar, Gilles Gasso

In this article, we propose a two-sample test based on the Wasserstein 2-distance between two 1D samples, where the first sample is assumed to be Gaussian based on an approximation…

astro-ph.EP2026

Modeling (Sub-)millimeter Scattering Properties of Fractal and Consolidated Porous Particles: Applications to Protoplanetary Disks

Gonzalo Vargas, Daniel Guirado, Carlos Carrasco-Gonzalez +5

We perform light-scattering numerical simulations for two dust populations: (i) consolidated porous particles computed with the discrete dipole approximation (ADDA) and (ii) highly…

cond-mat.mtrl-sci2026

The effect of grain boundaries on magnetic exchange interactions in iron

Martin Zelený, Martin Heczko, Petr Šesták +3

This work investigates how grain boundaries (GBs) modify magnetic exchange interactions in bcc iron, with particular focus on the effect of phosphorus segregation. Using density-fu…