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Showing 20 publications out of 84 publications

Dalveren, Yaser; Genc, Mehmet Zahid; Kara, Ali; Derawi, Mohammad; Kubíček, Jan; Penhaker, Marek.
MEE-Net: a lightweight CNN with interpretability assessment for cardiomegaly detection from chest X-rays on edge devices
MEE-Net: a lightweight CNN with interpretability assessment for cardiomegaly detection from chest X-rays on edge devices
Scientific Reports, 2026.
Reyes Leiva, Karla Miriam; Nikelova, P.; Černý, Martin.
Anthropometry and diagnostic aware deep learning for exercise assessment
Anthropometry and diagnostic aware deep learning for exercise assessment
Frontiers in Medical Technology, 2026.
Dalveren, Yaser; Derawi, Mohammad; Kubíček, Jan; Penhaker, Marek; et al.
From Simulation to Clinical Translation: A Deep Learning Framework for Pancreatic Tumor Segmentation With GUI Integration
From Simulation to Clinical Translation: A Deep Learning Framework for Pancreatic Tumor Segmentation With GUI Integration
IEEE Access, 2026.
Barvík, Daniel; Černý, Martin; Procházka, Michal; et al.
Pulse Wave Velocity Estimation in a Controlled In Vitro Vascular Model: Benchmarking Machine Learning Approaches
Pulse Wave Velocity Estimation in a Controlled In Vitro Vascular Model: Benchmarking Machine Learning Approaches
Sensors, 2026.
Hrubý, Dan; Hrubá, Eva; Černý, Martin; et al.
Research of Fall Detection and Fall Prevention Technologies: A Review
Research of Fall Detection and Fall Prevention Technologies: A Review
Sensors, 2026.
Vondrák, Jaroslav; Penhaker, Marek.
Enhancing myocardial infarction detection with vectorcardiography: fusion-based comparative analysis of machine learning methods
Enhancing myocardial infarction detection with vectorcardiography: fusion-based comparative analysis of machine learning methods
Frontiers in Physiology, 16, 1683956, 2026.
IF = 4.3 (2025)
Bansal, Avinash; Kubíček, Jan; Garg, Shalini; et al.
Controlled comparative study of YOLOv8-Pose, YOLOv11-Pose, and Detectron2 for vertebrae detection and keypoint estimation
Controlled comparative study of YOLOv8-Pose, YOLOv11-Pose, and Detectron2 for vertebrae detection and keypoint estimation
PLOS ONE, 2026.
Sethia K., Strakoš P., Jaroš M., Kubíček J., Roman J., Penhaker M., Říha L.
Advances in liver, liver lesion, hepatic vasculature, and biliary segmentation: a comprehensive review of traditional and deep learning approaches
Advances in liver, liver lesion, hepatic vasculature, and biliary segmentation: a comprehensive review of traditional and deep learning approaches
Artificial Intelligence Review, 58, 299, 2025.
IF = 18.8 (2025)