Publications
We are committed to advancing machine learning and deep learning research and innovation on a global scale. We actively collaborate with leading institutions and experts to push the boundaries of AI technology.
Our extensive knowledge allows us to develop AI solutions for our clients from medical field guided by a rigorous evidence-based approach. We aim to harness the power of AI to revolutionize the medical area.
Our last publications
Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT
M. Bujny, K. Jesionek, J. Nalepa, T. Bartczak, K. Miszalski-Jamka, M. Kostur
Conference paper in the Medical Image Computing and Computer Assisted Intervention, 2024, Link
Automated Hepatocellular Carcinoma Analysis in Multi-Phase CT with Deep Learning
K. Kotowski, B. Machura, D. Kucharski, B. Gutiérrez-Becker, A. Krason, J. Tessier, J. Nalepa
Conference paper in the Medical Image Computing and Computer Assisted Intervention, 2024, Link
AI-based algorithm for assessing coronary artery calcium score on contrast-enhanced cardiac computed tomography scans
K. Miszalski-Jamka, F. Malawski, J. Goslinski, M. Witkowska, P. Purgol, M. Bujny, T. Bartczak, W. Malara, M. Banach, M. Kostur
European Society of Cardiology Congress, 2024, Link
Prevalence of high-risk plaque features on cardiac computed tomography scans in patients with a coronary artery calcium score of zero
K. Miszalski-Jamka, K. Jesionek, P. Purgol, M. Bujny, M. Banach, M. Kostur
European Society of Cardiology Congress, 2024, Link
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning
M. Bujny, K. Jesionek, J. Nalepa, S. Wolny, M. Kostur
arXiv, 2024, Link
Highly Accurate Multi-vendor AI-based Algorithm For Coronary Artery Calcium Scoring
K. Miszalski-Jamka, F. Malawski, M. Bujny, W. Malara, J. Goslinski, M. Witkowska, P. Purgol, J. Nalepa, M. Kostur
Journal of Cardiovascular Computed Tomography, 2024, Link
Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies
B. Machura, D. Kucharski, O.Bozek, B. Eksner, B. Kokoszka, T. Pekala, M. Radom, M. Strzelczak, L. Zarudzki, B. Gutiérrez-Becker, A. Krason, J. Tessier, J. Nalepa
Computerized Medical Imaging and Graphics, 2024, Link
The Endoscopic Severity Score Map (ESSM): An Artificial Intelligence scoring system providing accurate, objective and localised measurements of endoscopic disease severity in ulcerative colitis
B. Gutierrez Becker, S. Fraessle, H. Yao, J. Lüscher, R. Girycki, B. Machura, J. Gośliński, J. Czornik, M. Pitura, J. Arús-Pous, E. Fisher, D. Bojic, D. Richmond, A. Bigorgne, M. Prunotto
Journal of Crohn’s and Colitis, 2024, Link
Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients
J. Nalepa, K. Kotowski, B. Machura, S. Adamski, O. Bozek, B. Eksner, B. Kokoszka, T. Pekala, M. Radom, M. Strzelczak, L. Zarudzki, A. Krason, F. Arcadu, J. Tessier
Computers in Biology and Medicine, 2023, Link
Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography
J. Goslinski, F. Malawski, M. Bujny, M. Kostur, K. Miszalski-Jamka, J. Nalepa
IEEE International Conference on Image Processing (ICIP), 2023, Link
Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features
K. Kotowski, D. Kucharski, B. Machura, S. Adamski, B. G. Becker, A. Krason, L. Zarudzki, J. Tessier, J. Nalepa
Computers in Biology and Medicine, 2023, Link
Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA
F. Malawski, J. Goslinski, M. Stryja, K. Jesionek, M. Kostur, K. Miszalski-Jamka, J. Nalepa
In: Wu, S., Shabestari, B., Xing, L. (eds) Applications of Medical Artificial Intelligence. AMAI 2022. Lecture Notes in Computer Science, vol 13540. Springer, Cham, Link
Segmenting pediatric optic pathway gliomas from MRI using deep learning
J. Nalepa, S. Adamski, K. Kotowski, S. Chelstowska, M. Machnikowska-Sokolowska, O. Bozek, A. Wisz, E. Jurkiewicz
Computers in Biology and Medicine, 2022, Link
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