Deep Reinforcement Learning for Localization of the Aortic Annulus in Patients with Aortic Dissection. - Marina Codari; Antonio Pepe 003; Gabriel Mistelbauer; Domenico Mastrodicasa; Shannon Walters; Martin J. Willemink; Dominik Fleischmann (TIA@MICCAI, 2020)

Deep Learning-Based 3D Segmentation of True Lumen, False Lumen, and False Lumen Thrombosis in Type-B Aortic Dissection. - Liana D. Wobben; Marina Codari; Gabriel Mistelbauer; Antonio Pepe 003; Kai Higashigaito; Lewis D. Hahn; Domenico Mastrodicasa; Valery Turner; Virginia Hinostroza; Kathrin Bäumler; Michael P. Fischbein; Dominik Fleischmann; et al. (EMBC, 2021)

Shading Style Assessment for Vessel Wall and Lumen Visualization. - Kai Ostendorf; Domenico Mastrodicasa; Kathrin Bäumler; Marina Codari; Valery Turner; Martin J. Willemink; Dominik Fleischmann; Bernhard Preim; Gabriel Mistelbauer (VCBM, 2021)

MRI-Based Radiomics Approach Predicts Tumor Recurrence in ER + /HER2 - Early Breast Cancer Patients. - Piero Chiacchiaretta; Domenico Mastrodicasa; Antonio Maria Chiarelli; Riccardo Luberti; Pierpaolo Croce; Mario Sguera; Concetta Torrione; Camilla Marinelli; Chiara Marchetti; Angelucci Domenico; Giulio Cocco; Angela Di Credico; et al. (J. Digit. Imaging, 2023)

Synthetic surface mesh generation of aortic dissections using statistical shape modeling. - Kai Ostendorf; Kathrin Bäumler; Domenico Mastrodicasa; Dominik Fleischmann; Bernhard Preim; Gabriel Mistelbauer (Comput. Graph., 2024)

Advanced visualization of aortic dissection anatomy and hemodynamics. - Aaron Schroeder; Kai Ostendorf; Kathrin Bäumler; Domenico Mastrodicasa; Veit Sandfort; Dominik Fleischmann; Bernhard Preim; Gabriel Mistelbauer (Comput. Graph., 2024)

Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging. - Yuzhe Yang 003; Yujia Liu; Xin Liu 034; Avanti Gulhane; Domenico Mastrodicasa; Wei Wu; Edward Jay Wang; Dushyant W. Sahani; Shwetak N. Patel (CoRR, 2024)