Publication |
Link |
Year |
| Maria Bancerek, Piotr Rudzki, Jakub Nalepa, Segmentation of Pre and Post-treatment Brain Metastases Using nnU-Nets, Lecture Notes in Computer Science ((LNCS,volume 16376)), Included in the following conference series: International Conference on Medical Image Computing and Computer-Assisted Intervention, April 2026. |
|
2026 |
| Anna Kurasz, Shady Abohashem, Wahbi K. El-Bouri, Sandra Ortega-Martorell, Ivan Olier, Agata Wijata, Jakub Nalepa, Michał Święczkowski, Piotr Jemielita, Małgorzata Duzinkiewicz, Tomasz Januszko, Sławomir Małyszko, Wojciech Wańha, Massimo Franchini, Riccardo Proietti, Michael T. Osborne, Gregory Y. H. Lip, Łukasz Kuźma: Air, Noise, and Light Pollution and Thromboembolic Cardiovascular Complications: A TH Scientific Statement in Thrombosis and Haemostasis, March 2026. |
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2026 |
| Mariusz Bujny, Katarzyna Jesionek, Jakub Nalepa, Karol Miszalski-Jamka, Katarzyna Widawka-Żak, Sabina Wolny, Marcin Kostur, Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning, Computers in Biology and Medicine, February 2026. | Publication link | 2026 |
| Escobar-Cervantes C, Saldaña-García J, Torremocha-López A, Contreras-Lorenzo C, Lara-García A, Canales-Muñoz L, Martínez-González R, Vila-García J, Banach M., Integrating New Technologies in Lipidology: A Comprehensive Review. J Clin Med. 2025 Jul 14;14(14):4984. |
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2025 |
| Banach M, Surma S, Guzik TJ, Penson PE, Blaha MJ, Pinto FJ, Sperling LS. Upfront lipid-lowering combination therapy in high cardiovascular risk patients: a route to effective atherosclerotic cardiovascular disease prevention. Cardiovasc Res. 2025 Jun 12;121(6):851-859. | Publication link | 2025 |
| Dyrbuś K, Banach M, Gil R, Gąsior M, Broncel M, Gellert R, Stompór T, Jankowski P, Gierlotka M, Gruchała M, Dzida G, Mitkowski P, Kowalska I, Szymański FM, Słowik A, Sławek J, Lasek-Bal A, Kułakowska A, Kobayashi A, Rejdak K, Strojek K, Małecki M, Naumnik B, Krajewska M, Kuczmik W, Wiewióra M, Witkowski A. Interdisciplinary expert team statement on the treatment of multi-bed atherosclerotic disease – endorsed by Polish Cardiac Society, Polish Lipid Association, Polish Society of Diabetology, Polish Neurological Society, Polish Society of Nephrology. Kardiol Pol. 2025;83(4):531-539. | Publication link | 2025 |
| Su M, Zhao W, Jiang H, Zhao Y, Liao Z, Liu Z, Xu M, Jiang S, Wu L, Yang Y, Wang Z, Zeng Z, Fang Y, Tang C, Miller CL, Evans PC, Wang L, Banach M, Jo H, Berk BC, Offermanns S, Huang Y, Ge J, Xu S, Weng J. Endothelial IGFBP6 suppresses vascular inflammation and atherosclerosis. Nat Cardiovasc Res. 2025 Feb;4(2):145-162. | Publication link | 2025 |
| Miszalski-Jamka, K., Jesionek, K., Purgol, P., Bujny, M., Banach, M., & Kostur, M. (2024). Prevalence of high-risk plaque features on cardiac computed tomography scans in patients with a coronary artery calcium score of zero. European Heart Journal, 45(Supplement_1), ehae666–176. |
|
2024 |
| Banach M, Toth PP, Bielecka-Dąbrowa A, Lewek J. Primary and secondary cardiovascular prevention: Recent advances. Kardiol Pol. 2024;82(12):1200-1210. doi: 10.33963/v.phj.103997. |
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2024 |
| M. Bujny, K. Jesionek, J. Nalepa, T. Bartczak, K. Miszalski-Jamka, M. Kostur, Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT, conference paper in the Medical Image Computing and Computer Assisted Intervention, 3 October 2024. |
|
2024 |
| K. Kotowski, B. Machura, D. Kucharski, B. Gutiérrez-Becker, A. Krason, J. Tessier, J. Nalepa, Automated Hepatocellular Carcinoma Analysis in Multi-Phase CT with Deep Learning, conference paper in the Medical Image Computing and Computer Assisted Intervention, 9 October 2024. |
|
2024 |
| K. Miszalski-Jamka, F. Malawski, J. Goslinski, M. Witkowska, P. Purgol, M. Bujny, T. Bartczak, W. Malara, M. Banach, M. Kostur, AI-based algorithm for assessing coronary artery calcium score on contrast-enhanced cardiac computed tomography scans, in the European Society of Cardiology Congress, 2024. | Publication link | 2024 |
| K. Miszalski-Jamka, K. Jesionek, P. Purgol, M. Bujny, M. Banach, M. Kostur, Prevalence of high-risk plaque features on cardiac computed tomography scans in patients with a coronary artery calcium score of zero, in the European Society of Cardiology Congress, 2024 |
|
2024 |
| M. Bujny, K. Jesionek, J. Nalepa, S. Wolny, M. Kostur, Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning, arxiv, Mar. 2024. |
|
2024 |
| K. Miszalski-Jamka, F. Malawski, M. Bujny, W. Malara, J. Goslinski, M. Witkowska, P. Purgol, J. Nalepa,M. Kostur, Highly Accurate Multi-vendor AI-based Algorithm For Coronary Artery Calcium Scoring, Journal of Cardiovascular Computed Tomography, Volume 18, 2024, Issue 1, S6. |
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2024 |
| 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, Deep learning ensembles for detecting brain metastases in longitudinal multi-modal MRI studies, Computerized Medical Imaging and Graphics, Volume 116, 2024, 102401, ISSN 0895-6111. |
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2024 |
| 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, P098 The Endoscopic Severity Score Map (ESSM): An Artificial Intelligence scoring system providing accurate, objective and localised measurements of endoscopic disease severity in ulcerative colitis, Journal of Crohn’s and Colitis, Volume 18, Issue Supplement_1, January 2024, Pages i377–i378. |
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2024 |
| A. M. Wijata, B. Pyciński, J. Nalepa. 2024. Selecting Image Features for Biopsy Needle Detection in Ultrasound Images Using Genetic Algorithms. In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO ’24 Companion). Association for Computing Machinery, New York, NY, USA, 703–706. https://doi.org/10.1145/3638530.3654434. |
Publication link |
2024 |
| K. Nabrdalik, H. Kwiendacz, K. Irlik, M. Hendel, K. Drożdż, A. M Wijata, J. Nalepa, O. Janota, W. Wójcik, J. Gumprecht, G Y H Lip, Machine Learning Identifies Metabolic Dysfunction–Associated Steatotic Liver Disease in Patients With Diabetes Mellitus, The Journal of Clinical Endocrinology & Metabolism, Volume 109, Issue 8, August 2024, Pages 2029–2038, https://doi.org/10.1210/clinem/dgae060. |
https://pubmed.ncbi.nlm.nih.gov/38330228/ Publication link
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2024 |
| Bartnik, K., Krzyziński, M., Bartczak, T. et al. A novel radiomics approach for predicting TACE outcomes in hepatocellular carcinoma patients using deep learning for multi-organ segmentation. Sci Rep 14, 14779 (2024). https://doi.org/10.1038/s41598-024-65630-z. |
https://www.nature.com/articles/s41598-024-65630-z Publication link |
2024 |
| M. Kurbiel, A. M Wijata, J. Nalepa: Predicting the MGMT Promoter Methylation Status in T2-FLAIR Magnetic Resonance Imaging Scans Using Machine Learning. 13th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2024). DOI: 10.5220/0012467400003654 Paper published under CC license (CC BY-NC-ND 4.0) In Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2024), pages 872-879, ISBN: 978-989-758-684-2; ISSN: 2184-4313. |
Publication link |
|
| D. Marek, J. Nalepa, End-to-end deep learning pipeline for on-board extraterrestrial rock segmentation, Engineering Applications of Artificial Intelligence, 2024, vol. 127, s.1-19, Numer artykułu:107311. DOI:10.1016/j.engappai.2023.107311. |
https://www.sciencedirect.com/science/article/pii/S0952197623014951 Publication link |
2024 |
| K. Nabrdalik, K. Drożdż, H. Kwiendacz, K. Skonieczna-Żydecka, I. Łoniewski, M. Kaczmarczyk, A. M. Wijata, J. Nalepa, F. Holleman, M. Nieuwdorp, J. Gumprecht, Clinical Trial: Probiotics in Metformin Intolerant Patients with Type 2 Diabetes (ProGasMet), Biomedicine & Pharmacotherapy, Volume 168, 2023, 115650, ISSN 0753-3322, https://doi.org/10.1016/j.biopha.2023.115650. |
https://pubmed.ncbi.nlm.nih.gov/37812890/ Publication link |
2023 |
| K. Nabrdalik, H. Kwiendacz, K. Irlik, J. Nalepa et al. Machine learning identification of risk factors for heart failure in patients with diabetes mellitus with metabolic dysfunction associated steatotic liver disease (MASLD): the Silesia Diabetes-Heart Project. Cardiovasc Diabetol 22, 318 (2023). https://doi.org/10.1186/s12933-023-02014-z. |
https://pubmed.ncbi.nlm.nih.gov/37985994 Publication link |
2023 |
| Perone F, Bernardi M, Redheuil A, Mafrica D, Conte E, Spadafora L, Ecarnot F, Tokgozoglu L, Santos-Gallego CG, Kaiser SE, Fogacci F, Sabouret A, Bhatt DL, Paneni F, Banach M, Santos R, Biondi Zoccai G, Ray KK, Sabouret P. Role of Cardiovascular Imaging in Risk Assessment: Recent Advances, Gaps in Evidence, and Future Directions. J Clin Med. 2023 Aug 26;12(17):5563. |
Role of Cardiovascular Imaging in Risk Assessment: Recent Advances, Gaps in Evidence, and Future Directions Publication link |
2023 |
| 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, Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients, Computers in Biology and Medicine, Volume 154, 2023. |
https://linkinghub.elsevier.com/retrieve/pii/S0010482523000689 Publication link
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2023 |
| J. Goslinski, F. Malawski, M. Bujny, M. Kostur, K. Miszalski-Jamka and J. Nalepa, Deep Learning Meets Particle Swarm Optimization For Aortic Valve Calcium Scoring From Cardiac Computed Tomography, 2023 IEEE International Conference on Image Processing (ICIP), Kuala Lumpur, Malaysia, 2023, pp. 3469-3473. |
https://ieeexplore.ieee.org/document/10223100 Publication link |
2023 |
| K. Kotowski, D. Kucharski, B. Machura, S. Adamski, B. G. Becker, A. Krason, L. Zarudzki, J. Tessier, J. Nalepa, Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features, Computers in Biology and Medicine, volume 152, 2023. |
https://doi.org/10.1016/j.compbiomed.2022.106378 Publication link |
2023 |
| Haberka M, Rajewska-Tabor J, Wojtowicz D, Jankowska A, Miszalski-Jamka K, Janus M, Dorniak K, Kulawiak-Gałąska D, Stasiow B, Rozmiarek S, Fijałkowska J, Elikowski W, Ławrynowicz M, Śpiewak M, Koziński M, Pyda M. A distinct septal pattern of late gadolinium enhancement specific for COVID-induced myocarditis: A multicenter cardiovascular magnetic resonance study. Kardiol Pol. 2023;81(5):463-471. doi: 10.33963/KP.a2023.0054. Epub 2023 Mar 5. PMID: 36871296. |
https://journals.viamedica.pl/polish_heart_journal/article/view/93708 Publication link
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2023 |
| Tajstra M, Adamowicz-Czoch E, Kurek A, Nowak J, Głowacki J, Miszalski-Jamka K, Kalarus Z, Gąsior M, Kowalski O. Leadless pacemaker implantation in a univentricular heart in a patient with a double-inlet left ventricle and L-transposition of the great arteries. Kardiol Pol. 2023;81(5):528-529. doi: 10.33963/KP.a2023.0082. Epub 2023 Mar 31. PMID: 36999725. |
https://pubmed.ncbi.nlm.nih.gov/36999725/ Publication link |
2023 |
| Kotowski K., Haskamp C., Ruszczak B. et al, Annotating large satellite telemetry dataset for ESA international AI anomaly detection benchmark , In: Proceedings of the 2023 conference on Big Data from Space (BiDS’2023), From foresight to impact, 6-9 November 2023, Vienna / Soille P., Lumnitz S., Albani S. (red.), 2023, Publications Office of the European Union, s.341-344, ISBN 978-92-68-08696-4. |
Publication link |
2023 |
| Miroszewski A., Nalepa J., Le Saux B. et al., Quantum machine learning for remote sensing: exploring potential and challenges, In: Proceedings of the 2023 conference on Big Data from Space (BiDS’2023), From foresight to impact, 6-9 November 2023, Vienna / Soille P., Lumnitz S., Albani S. (red.), 2023, Publications Office of the European Union, s.37-40, ISBN 978-92-68-08696-4. |
https://arxiv.org/abs/2311.07626 Publication link |
2023 |
| Nalepa J., Ruszczak B., Kotowski K. et al., Look ma, no ground truth! On building supervised anomaly detection from OPS-SAT telemetry, In: 74th International Astronautical Congress. IAC 2023, Baku, Azerbaijan, Congress proceedings, Proceedings of the International Astronautical Congress, 2023, International Astronautical Federation, s.1-8, Nr:78668. |
Publication link |
2023 |
| Weiss J., Wijata A., Musiał A., Nalepa J. et al., Space data centers: requirements for example use-case, In: Proceedings of the 2023 conference on Big Data from Space (BiDS’2023), From foresight to impact, 6-9 November 2023, Vienna / Soille P., Lumnitz S., Albani S. (red.), 2023, Publications Office of the European Union, s.377-380, ISBN 978-92-68-08696-4 |
https://omega.polsl.pl/info/article/PSL3c1c948f10d347ceb5bb859ba8fae93d/ Publication link |
2023 |
| Valentin B., Gale L., Lathouwers J., Nalepa J. et al., AIOPEN – platform extensions with AI capabilities, In: Proceedings of the 2023 conference on Big Data from Space (BiDS’2023), From foresight to impact, 6-9 November 2023, Vienna / Soille P., Lumnitz S., Albani S. (red.), 2023, Publications Office of the European Union, s.257-260, ISBN 978-92-68-08696-4 |
Publication – AIOPEN – platform extensions with AI capabilities – Silesian University of Technology Publication link |
2023 |
| Dommaraju, N., Bujny, M., Menzel, S. et al. Evaluation of geometric similarity metrics for structural clusters generated using topology optimization. Appl Intell 53, 904–929 (2023). https://doi.org/10.1007/s10489-022-03301-0. |
Publication link |
2023 |
| Hutapea, E., Dommaraju, N., Bujny, M., Duddeck, F. (2023). Clustering Topologically-Optimized Designs Based on Structural Deformation. In: Rieser, J., Endress, F., Horoschenkoff, A., Höfer, P., Dickhut, T., Zimmermann, M. (eds) Proceedings of the Munich Symposium on Lightweight Design 2021. Springer Vieweg, Berlin, Heidelberg. |
https://www.researchgate.net/publication/362531276_Clustering_Topologically-Optimized_Designs_ Based_on_Structural_Deformation Publication link |
2023 |
| A. Neofytou, J. Hyun, M. Bujny et al., A modularized level set topology optimization methodology for vibro-acoustic problems, AIAA 2023-0974, Session: Airframe Noise and Airframe/Propulsion Integration, Propeller‚ Open Rotor‚ and Rotorcraft Noise, Urban Air Mobility and Unmanned Aerial Vehicle Noise. Published Online: 19 Jan 2023. https://doi.org/10.2514/6.2023-0974. |
https://www.researchgate.net/publication/ 367318941_A_modularized_level_set_topology_optimization_methodology_for_vibro-acoustic_problems Publication link |
2023 |
| S. Brulin, M, Bujny, T. Puphal, S. Menzel, Data-driven Evolutionary Optimization of eVTOL Design Concepts Based on Multi-agent Transport Simulations, AIAA 2023-2202, Session: Metamodeling, Reduced Order Models, and Approximation Methods IIII, Published Online:19 Jan 2023 https://doi.org/10.2514/6.2023-2202. |
https://www.researchgate.net/publication/367313336_Data-driven_ Evolutionary_Optimization_of_eVTOL_Design_Concepts_Based_on_Multi-agent_Transport_Simulations Publication link |
2023 |
| Yousaf M. S., Detwiler D., Bujny M. et al., (2023). Similarity-Driven Topology Optimization for Statics and Crash via Energy Scaling Method. Journal of Mechanical Design. 145. 10.1115/1.4062943. |
Publication link |
2023 |
| Bujny, M., Yousaf, M.S., Zurbrugg, N. et al. Learning hyperparameter predictors for similarity-based multidisciplinary topology optimization. Sci Rep 13, 14856 (2023). https://doi.org/10.1038/s41598-023-42009-0. |
Publication link |
2023 |
| Huang, HM., Raponi, E., Duddeck, M. Bujny. et al. Topology optimization of periodic structures for crash and static load cases using the evolutionary level set method. Optim Eng (2023). https://doi.org/10.1007/s11081-023-09857-1. |
https://www.researchgate.net/publication/374997556_ Topology_optimization_of_periodic_structures_for_crash_and_ static_load_cases_using_the_evolutionary_level_set_method Publication link |
2023 |
| Malawski, F. and Paruzel-Satława, N. (2023). Heterogeneous Inertial Measurement Units in Motion Analysis. In Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2023) – BIOSIGNALS; ISBN 978-989-758-631-6; ISSN 2184-4305, SciTePress, pages 351-358. DOI: 10.5220/0011799100003414. |
https://www.scitepress.org/Link.aspx?doi=10.5220/0011799100003414 Publication link |
2023 |
| Pobrotyn, P., Bartczak, T., Synowiec, M., Białobrzeski, R., & Bojar, J. (2020). Context-Aware Learning to Rank with Self-Attention. ArXiv. /abs/2005.10084. |
https://arxiv.org/abs/2005.10084 Publication link |
2023 |
| F. Malawski, J. Goslinski, M. Stryja, K. Jesionek, M. Kostur, K. Miszalski-Jamka, J. Nalepa, Deep Learning Meets Computational Fluid Dynamics to Assess CAD in CCTA. In: Wu, S., Shabestari, B., Xing, L. (eds) Applications of Medical Artificial Intelligence. AMAI 2022. Lecture Notes in Computer Science, vol 13540. Springer, Cham. |
https://doi.org/10.1007/978-3-031-17721-7_2 Publication link |
2022 |
| J. Nalepa, S. Adamski, K. Kotowski, S. Chelstowska, M. Machnikowska-Sokolowska, O. Bozek, A. Wisz, E. Jurkiewicz, Segmenting pediatric optic pathway gliomas from MRI using deep learning, Computers in Biology and Medicine, volume 142, 2022. |
https://www.sciencedirect.com/science/article/abs/pii/S0010482522000294 Publication link |
2022 |
| Haberka, M, Rajewska-Tabor, J, Wojtowicz, D. Miszalski-Jamka K. et al. Perimyocardial Injury Specific for SARS-CoV-2-Induced Myocarditis in Comparison With Non-COVID-19 Myocarditis: A Multicenter CMR Study. J Am Coll Cardiol Img. 2022 Apr, 15 (4) 705–707. https://doi.org/10.1016/j.jcmg.2021.11.002. |
https://pubmed.ncbi.nlm.nih.gov/34922867/ Publication link |
2022 |
| N. Hohmann, M. Bujny, J. Adamy and M. Olhofer, Multi-objective 3D Path Planning for UAVs in Large-Scale Urban Scenarios, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022, pp. 1-8, doi: 10.1109/CEC55065.2022.9870265. |
https://www.researchgate.net/publication/363329261_Multi-objective_3D_ Path_Planning_for_UAVs_in_Large-Scale_Urban_Scenarios Publication link |
2022 |
| N. Dommaraju, M. Bujny, S. Menzel, M. Olhofer and F. Duddeck, Cooperative Multi-objective Topology Optimization Using Clustering and Metamodeling, 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy, 2022, pp. 1-8, doi: 10.1109/CEC55065.2022.9870326. |
https://www.honda-ri.de/pubs/pdf/5105.pdf Publication link |
2022 |
| P. Wollstadt, M. Bujny, S. Ramnath, J. J. Shah, D. Detwiler and S. Menzel, CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications, in IEEE Transactions on Evolutionary Computation, vol. 26, no. 6, pp. 1221-1235, Dec. 2022, doi: 10.1109/TEVC.2022.3147013. |
https://www.researchgate.net/publication/358205590_CarHoods10k_An_Industry-grade_Data_Set_for_Representation_Learning_and_ Design_Optimization_in_Engineering_Applications Publication link |
2022 |
| Malawski, F., Jankowski, B. (2022). Depth-Based vs. Color-Based Pose Estimation in Human Action Recognition. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2022. Lecture Notes in Computer Science, vol 13598. Springer, Cham. https://doi.org/10.1007/978-3-031-20713-6_26. |
https://www.researchgate.net/publication/366170155_Depth-Based_vs_Color-Based_Pose_Estimation_in_Human_Action_Recognition Publication link |
2022 |
| Malawski, F. (2022). Immersive Feedback in Fencing Training using Mixed Reality. Computer Science, 23(1). https://doi.org/10.7494/csci.2022.23.1.4570. |
Publication link |
2022 |
| K. Kotowski, S. Adamski, W. Malara, B. Machura, L. Zarudzki, J. Nalepa, Segmenting Brain Tumors from MRI Using Cascaded 3D U-Nets, Conference paper First Online: 26 March 2021, Part of the Lecture Notes in Computer Science book series (LNCS, volume 12659). |
https://www.researchgate.net/publication/ 350381088_Segmenting_Brain_Tumors_ from_MRI_Using_Cascaded_3D_U-Nets Publication link |
2021 |
| P. Bosowski, J. Bosowska and J. Nalepa, Evolving Deep Ensembles For Detecting Covid-19 In Chest X-Rays, 2021 IEEE International Conference on Image Processing (ICIP), Anchorage, AK, USA, 2021, pp. 3772-3776, doi: 10.1109/ICIP42928.2021.9506119. |
https://www.researchgate.net/publication/ 354690913_Evolving_Deep_Ensembles_For_Detecting_Covid-19_In_Chest_X-Rays Publication link |
2021 |
| Śpiewak M, Dorniak K, Miszalski-Jamka K, et al. Cardiac magnetic resonance in myocarditis. Pol Arch Intern Med. 2021; 131: 772. doi:10.20452/pamw.16061. |
https://pubmed.ncbi.nlm.nih.gov/34463085/ Publication link |
2021 |
| Haberka, M.; Rajewska-Tabor, J.; Wojtowicz, D.; Miszalski-Jamka, K.; Jankowska, G. A.; Janus, M.; Dorniak, K.; Stasiow, B.; Rozmiarek, S.; Szurowska, E.; Elikowski, W.; Ławrynowicz, M.; Danel, A.; Śpiewak, M.; Koziński, M.; Pyda, M., Myocardial injury and coronavirus-induced myocarditis in patients recovered from COVID-19-a multicenter CMR study, Kardiologia Polska, 56-57. |
https://www.researchgate.net/publication/357077999_P erimyocardial_Injury_Specific_for_SARS-CoV-2-Induced_Myocarditis_in_Comparison_With_Non-COVID-19_Myocarditis Publication link |
2021 |
| M. S. Yousaf, M. Bujny, N. Zurbrugg, D. Detwiler & F. Duddeck (2021) Similarity control in topology optimization under static and crash loading scenarios, Engineering Optimization, 53:9, 1523-1538, DOI: 10.1080/0305215X.2020.1806257. |
https://www.honda-ri.de/pubs/pdf/4472.pdf Publication link |
2021 |
| N. Dommaraju, M. Bujny, S. Menzel et al. Evaluation of Geometric Similarity Metrics for Structural Clusters Generated using Topology Optimization, 01 March 2021, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-250318/v1]. |
https://link.springer.com/article/10.1007/s10489-022-03301-0 Publication link |
2021 |
| Raponi, E., Bujny, M., Olhofer, M., Boria, S., Duddeck, F. (2021). Hybrid Strategy Coupling EGO and CMA-ES for Structural Topology Optimization in Statics and Crashworthiness. In: Merelo, J.J., Garibaldi, J., Linares-Barranco, A., Warwick, K., Madani, K. (eds) Computational Intelligence. IJCCI 2019. Studies in Computational Intelligence, vol 922. Springer, Cham. https://doi.org/10.1007/978-3-030-70594-7_3. |
Publication link |
2021 |
| Bujny, M., Olhofer, M., Aulig, N. et al. Correction to: Topology Optimization of 3D‑printed joints under crash loads using Evolutionary Algorithms. Struct Multidisc Optim 64, 4207 (2021). https://doi.org/10.1007/s00158-021-03082-z. |
https://link.springer.com/article/10.1007/s00158-021-03082-z Publication link |
2021 |
| Bujny, M., Olhofer, M., Aulig, N. et al. Topology Optimization of 3D-printed joints under crash loads using Evolutionary Algorithms. Struct Multidisc Optim 64, 4181–4206 (2021). https://doi.org/10.1007/s00158-021-03053-4. |
https://www.honda-ri.de/pubs/pdf/4824.pdf Publication link |
2021 |
| N. Hohmann, M. Bujny, J. Adamy and M. Olhofer, “Hybrid Evolutionary Approach to Multi-objective Path Planning for UAVs,” 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Orlando, FL, USA, 2021, pp. 1-8, doi: 10.1109/SSCI50451.2021.9660187. |
https://www.honda-ri.de/pubs/pdf/4880.pdf Publication link |
2021 |
| Adamczyk, J., & Malawski, F. (2021). Comparison of Manual and Automated Feature Engineering for Daily Activity Classification in Mental Disorder Diagnosis. COMPUTING AND INFORMATICS, 40(4), 850–879. https://doi.org/10.31577/cai_2021_4_850. |
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| F. Malawski, “Depth Versus Inertial Sensors in Real-Time Sports Analysis: A Case Study on Fencing,” in IEEE Sensors Journal, vol. 21, no. 4, pp. 5133-5142, 15 Feb.15, 2021, doi: 10.1109/JSEN.2020.3036436. |
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| Osei AD, Mirbolouk M, Berman D, Budoff MJ, Miedema MD, Rozanski A, Rumberger JA, Shaw L, Al Rifai M, Dzaye O, Graham GN, Banach M, Blumenthal RS, Dardari ZA, Nasir K, Blaha MJ. Prognostic value of coronary artery calcium score, area, and density among individuals on statin therapy vs. non-users: The coronary artery calcium consortium. Atherosclerosis. 2021 Jan;316:79-83. doi: 10.1016/j.atherosclerosis.2020.10.009. |
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| Nalepa J, Ribalta Lorenzo P, Marcinkiewicz M, Bobek-Billewicz B, Wawrzyniak P, Walczak M, Kawulok M, Dudzik W, Kotowski K, Burda I, Machura B, Mrukwa G, Ulrych P, Hayball MP. Fully-automated deep learning-powered system for DCE-MRI analysis of brain tumors. Artif Intell Med. 2020 Jan;102:101769. doi: 10.1016/j.artmed.2019.101769. Epub 2019 Nov 27. PMID: 31980106. |
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2020 |
| J. Nalepa, M. Antoniak and M. Myller, P. Ribalta and M. Marcinkiewicz, Towards resource-frugal deep convolutional neural networks for hyperspectral image segmentation, Microprocessors and Microsystems Volume 73, March 2020, 102994, Elsevier, 2020. |
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| J Boidol, M Koziel, K Miszalski-Jamka, J Klys, Z Kalarus, T Kukulski, The value of regional myocardial function assessment in patients with acute myocarditis at baseline and mid term follow-up European Heart Journal 41 (Supplement_2), ehaa946. 0136, 2020. |
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| M Koziel, J Boidol, J Klys, K Miszalski-Jamka, Z Kalarus, T Kukulski, Predictors of left ventricular remodelling in patients after active myocarditis, European Heart Journal, Volume 41, Issue Supplement_2, November 2020, ehaa946.0128, https://doi.org/10.1093/ehjci/ehaa946.0128. |
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2020 |
| N. Dommaraju, M. Bujny, S. Menzel, M. Olhofer, F. Duddeck, Simultaneous Exploration of Geometric Features and Performance in Design Optimization, Conference: 16th International LS-DYNA Users Conference. |
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| Raponi, E., Wang, H., Bujny, M., Boria, S., Doerr, C. (2020). High Dimensional Bayesian Optimization Assisted by Principal Component Analysis. In: Bäck, T., et al. Parallel Problem Solving from Nature – PPSN XVI. PPSN 2020. Lecture Notes in Computer Science(), vol 12269. Springer, Cham. https://doi.org/10.1007/978-3-030-58112-1_12 https://arxiv.org/abs/2007.00925 2020. |
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2020 |