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cs.CV2026

AT-ViT: Area-Targeted Multi-View Vision Transformer with Cross-Attention and Multi-Scale Patching for Plant Trait Recognition in Herbarium Images

Amani Sedrat, Takieddine Chehhat, Youcef Sklab +6

Automated plant traits recognition from herbarium images is essential for plant sciences, yet remains challenging because background elements (e.g., textual labels, mounting artifa…

cs.CV2026

A novel unsupervised machine learning strategy to handle multimodal cardiac PET/MRI data

Brunnhilde Ponsi, Thomas Carlier, Lara Marteau +5

The paper presents an unsupervised clustering pipeline that integrates PET and MRI cardiac images to automatically detect abnormal myocardial regions in patients with arrhythmogeni…

cs.CV2026

Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans

Theo Di Piazza, Carole Lazarus, Olivier Nempont +1

With the growing volume of CT examinations, there is an increasing demand for automated tools such as organ segmentation, abnormality detection, and report generation to support ra…

cs.CV2026

GEN-Guard: Correcting Generalization Failures for Deployable Federated Surgical AI

Julia Alekseenko, Pietro Mascagni, AI4SafeChole Consortium +1

Federated Learning (FL) in surgical video AI enables collaborative model training without sharing sensitive data. However, standard evaluation practices - selecting the "best" glob…

cs.CV2026

Deep Learning Pose Estimation for Multi-Label Recognition of Combined Hyperkinetic Movement Disorders

Laura Cif, Diane Demailly, Gabriella A. Horvà th +15

Hyperkinetic movement disorders (HMDs) such as dystonia, tremor, chorea, myoclonus, and tics are disabling motor manifestations across childhood and adulthood. Their fluctuating, i…