output
19942026
most citedA General Survey on Attention Mechanisms in Deep Learning

679 citations

137 papers

cs.AI2026

Automatic Extraction of Structured Information from Brain MRI Reports Using an Open-Weight Large Language Model

Kaouther Mouheb, Amos Pomp, Antoine Manenti +9

Objectives: Automatic data extraction from free-text radiology reports enables large-scale research, but few studies assessed the performance of large language models (LLMs) on Dut…

cs.LG2026

Disease Progression and Subtype Modeling for Combined Discrete and Continuous Input Data

Sterre de Jonge, Elisabeth J. Vinke, Meike W. Vernooij +3

Disease progression modeling provides a robust framework to identify long-term disease trajectories from short-term biomarker data. It is a valuable tool to gain a deeper understan…

physics.med-ph2025

q3-MuPa: Quick, Quiet, Quantitative Multi-Parametric MRI using Physics-Informed Diffusion Models

Shishuai Wang, Florian Wiesinger, Noemi Sgambelluri +4

The 3D fast silent multi-parametric mapping sequence with zero echo time (MuPa-ZTE) is a novel quantitative MRI (qMRI) acquisition that enables nearly silent scanning by using a 3D…

cs.CV2025

Robust Alignment of the Human Embryo in 3D Ultrasound using PCA and an Ensemble of Heuristic, Atlas-based and Learning-based Classifiers Evaluated on the Rotterdam Periconceptional Cohort

Nikolai Herrmann, Marcella C. Zijta, Stefan Klein +5

Standardized alignment of the embryo in three-dimensional (3D) ultrasound images aids prenatal growth monitoring by facilitating standard plane detection, improving visualization o…

cs.HC2025★ 3 cited

Co-Designing with Multiple Stakeholders and Datasets: A Community-Centered Process to Understand Youth Deviance in the Italian City of Turin

Ravinithesh Annapureddy, Alessandro Fornaroli, Massimo Fattori +7

This paper presents the co-design and design evaluation of Sbocciamo Torino civic tool, which helps understand and act upon the issues of youth deviance in the Italian city of Turi…

cs.CY2025★ 87 cited

Dark and Bright Patterns in Cookie Consent Requests

Paul Graßl, Hanna Schraffenberger, Frederik Zuiderveen Borgesius +1

Dark patterns are (evil) design nudges that steer people's behaviour through persuasive interface design. Increasingly found in cookie consent requests, they possibly undermine pri…