Karol Miszalski-Jamka

According to our database, Karol Miszalski-Jamka authored at least 6 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Enhancing Coronary Artery Calcium Scoring via Multi-Organ Segmentation on Non-Contrast Cardiac Computed Tomography.

Jakub Nalepa, Tomasz Bartczak, Mariusz Bujny, Jaroslaw Goslinski, Katarzyna Jesionek, Wojciech Malara, Filip Malawski, Karol Miszalski-Jamka, Patrycja Rewa, Marcin Kostur

CoRR, January, 2025

2024

Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning.

Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Karol Miszalski-Jamka, Katarzyna Widawka-Zak, Sabina Wolny, Marcin Kostur

CoRR, 2024

Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT.

Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Tomasz Bartczak, Karol Miszalski-Jamka, Marcin Kostur

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023

Data from: Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning.

Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Karol Miszalski-Jamka, Katarzyna Widawka-Zak, Sabina Wolny, Marcin Kostur

Dataset, May, 2023

Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography.

Jaroslaw Goslinski, Filip Malawski, Mariusz Bujny, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA.

Filip Malawski, Jaroslaw Goslinski, Mikolaj Stryja, Katarzyna Jesionek, Marcin Kostur, Karol Miszalski-Jamka, Jakub Nalepa

Proceedings of the Applications of Medical Artificial Intelligence, 2022