Echocardiography View Classification as an Important Step to Heart Failure Diagnosis: A Case Study of the EchoJEPA Foundation Model

Data Leakage and the Extrapolation Gap in Machine Learning Surrogates for SCAPS-1D Perovskite Solar Cells

Mekhtiche Abdelhalim, Bouchachia Karim, Mouloudj Hadj

KeepA(n)I: Social Stereotypes in and Social Norms for Computer Vision

Evgenia Christoforou, Nicolas Nicolaou, Efstathios Stavrakis, Jahna Otterbacher

The KeepA(n)I platform facilitates the auditing of computer vision systems that tag images, which aid visual communication on the Web and social media, from content moderation to the development of new apps and tools. In particular, KeepA(n)I enables a broad set of stakeholders t…Read more

Self-Supervised Relevance Modelling in Autonomous Driving via Counterfactual Analysis

Luca Lusvarghi, Javier Gozalvez, Pablo Urbano Hidalgo

Autonomous driving relies on computationally intensive perception pipelines to continuously detect and track objects in the surrounding environment. While some objects are key to plan safe and effective maneuvers, others may not be relevant and have no impact on the autonomous ve…Read more

Обмеження навчання моделей комп'ютерного зору для систем розпізнавання психоемоційних станів в авіаційній інфраструктурі

Наталія Подопригора

У статті досліджуються епістемологічні та алгоритмічні обмеження сучасних моделей комп'ютерного зору (зокрема архітектури YOLOv8) щодо автоматизованого розпізнавання складних психоемоційних станів в умовах авіаційної інфраструктури. На основі трансдисциплінарної методології…Read more

SoC-Based Implementation of CNN Model for End-Diastolic Volume Classification from Echocardiogram via hls4ml

Nemanja Marković, Tijana Geroski, Emil Jovanov, Nenad Filipović

Echocardiographic assessment of End-Diastolic Volume (EDV) is central to identifying dilated cardiomyopathy, a major driver of heart failure. This paper presents a low-latency, edge-computing solution that deploys an 8-bit quantized, 50%-pruned CNN directly onto a Xilinx Artix-7…Read more

Comparative Analysis of U-Net-Based Architectures for Coronary Artery Segmentation Using X-Ray Angiography Images

Anđela Stojadinović, Tijana Geroski, Dajana Jovanović, Nenad Filipović

Accurate delineation of coronary arteries from X-ray angiography supports early identification of narrowing or blockages, but is complicated by low contrast and thin, branching vessel structures. This study compares three U-Net-based segmentation architectures — U-Net, U-Ne…Read more