Hybrid evolutionary approach for level set topology optimization. - Mariusz Bujny; Nikola Aulig; Markus Olhofer; Fabian Duddeck (CEC, 2016)

Learning-based topology variation in evolutionary level set topology optimization. - Mariusz Bujny; Nikola Aulig; Markus Olhofer; Fabian Duddeck (GECCO, 2018)

Identifying Topological Prototypes using Deep Point Cloud Autoencoder Networks. - Nivesh Dommaraju; Mariusz Bujny; Stefan Menzel; Markus Olhofer; Fabian Duddeck (ICDM Workshops, 2019)

Hybrid Kriging-assisted Level Set Method for Structural Topology Optimization. - Elena Raponi; Mariusz Bujny; Markus Olhofer; Simonetta Boria; Fabian Duddeck (IJCCI, 2019)

High Dimensional Bayesian Optimization Assisted by Principal Component Analysis. - Elena Raponi; Hao Wang 025; Mariusz Bujny; Simonetta Boria; Carola Doerr (PPSN (1), 2020)

Hybrid Evolutionary Approach to Multi-objective Path Planning for UAVs. - Nikolas Hohmann; Mariusz Bujny; Jürgen Adamy; Markus Olhofer (SSCI, 2021)

Cooperative Multi-objective Topology Optimization Using Clustering and Metamodeling. - Nivesh Dommaraju; Mariusz Bujny; Stefan Menzel; Markus Olhofer; Fabian Duddeck (CEC, 2022)

Multi-objective 3D Path Planning for UAVs in Large-Scale Urban Scenarios. - Nikolas Hohmann; Mariusz Bujny; Jürgen Adamy; Markus Olhofer (CEC, 2022)

CarHoods10k: An Industry-Grade Data Set for Representation Learning and Design Optimization in Engineering Applications. - Patricia Wollstadt; Mariusz Bujny; Satchit Ramnath; Jami J. Shah; Duane Detwiler; Stefan Menzel (IEEE Trans. Evol. Comput., 2022)

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 (ICIP, 2023)

Evaluation of geometric similarity metrics for structural clusters generated using topology optimization. - Nivesh Dommaraju; Mariusz Bujny; Stefan Menzel; Markus Olhofer; Fabian Duddeck (Appl. Intell., 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 (Zenodo, 2023)

Seeing the Invisible: On Aortic Valve Reconstruction in Non-contrast CT. - Mariusz Bujny; Katarzyna Jesionek; Jakub Nalepa; Tomasz Bartczak; Karol Miszalski-Jamka; Marcin Kostur (MICCAI (9), 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)

Data from: Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT. - Mariusz Bujny; Katarzyna Jesionek; Jakub Nalepa; Tomasz Bartczak; Karol Miszalski-Jamka; Marcin Kostur (Zenodo, 2024)

Data from: Seeing the Invisible: On Aortic Valve Reconstruction in Non-Contrast CT. - Mariusz Bujny; Katarzyna Jesionek; Jakub Nalepa; Tomasz Bartczak; Karol Miszalski-Jamka; Marcin Kostur (Zenodo, 2024)

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 (Zenodo, 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, 2025)