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Showing 84 publications

Kalus R., Benhenni M., Gadéa F. X., Yousfi M.
Ternary recombination of excited Ar+(2P1/2) ions: II. Internal states of nascent Ar2+ and a novel view on the elementary recombination processes
Ternary recombination of excited Ar+(2P1/2) ions: II. Internal states of nascent Ar2+ and a novel view on the elementary recombination processes
The Journal of Chemical Physics, 163 (1), 014302, 2025.
DOI: 10.1063/5.0276161
Hrubá, Eva; Kubíček, Jan; Augustynek, Martin.
Scoping review of subcutaneous glucose monitoring techniques
Scoping review of subcutaneous glucose monitoring techniques
Measurement, 261, 119940, 2026.
IF = 6.1 (2025)
DOI: 10.1016/j.measurement.2025.119940
Bansal, Avinash; Kaushik, Sumit; Kubíček, Jan; Garg, Shalini; et al.
Finsler fractional anisotropy (FFA): a directionally sensitive descriptor for multi-fiber white matter characterization in HARDI
Finsler fractional anisotropy (FFA): a directionally sensitive descriptor for multi-fiber white matter characterization in HARDI
Scientific Reports, 2026.
DOI: 10.1038/s41598-026-48225-8
Kaushik, Sumit; Bansal, Avinash; Kubíček, Jan; Haváček, Martin; Khairnar, Amit.
gKFA: a geometric framework for kurtosis fractional anisotropy
gKFA: a geometric framework for kurtosis fractional anisotropy
Scientific Reports, 2026.
DOI: 10.1038/s41598-026-53456-w
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.
DOI: 10.1038/s41598-026-73905-w
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.
DOI: 10.3389/fmedt.2025.1725661
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.
DOI: 10.1109/ACCESS.2026.3665109
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.
DOI: 10.3390/s26031066
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.
DOI: 10.3390/s26041192
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)
DOI: 10.3389/fphys.2025.1683956
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.
DOI: 10.1371/journal.pone.0347290
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)
DOI: 10.1007/s10462-025-11310-x