Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support. - Sobhan Moazemi; Markus Essler; Thomas Schultz 001; Ralph A. Bundschuh (ML-CDS@MICCAI, 2021)

Real-time 3D scans of cardiac surgery using a single optical-see-through head-mounted display in a mobile setup. - Bastian Dewitz; Roman Bibo; Sobhan Moazemi; Sebastian Kalkhoff; Stephan Recker; Artur Liebrecht; Artur Lichtenberg; Christian Geiger 001; Frank Steinicke; Hug Aubin; Falko Schmid (Frontiers Virtual Real., 2022)

Computer Assisted Diagnosis in PET/CT: Machine Learning for Prognosis in Oncological Patients - Sobhan Moazemi (2022)

Enacted Selves in Technological Activities - Framework and Case Study in Immersive Telementoring. - Bastian Dewitz; Sobhan Moazemi; Sebastian Kalkhoff; Steven Kessler; Christian Geiger 001; Frank Steinicke; Hug Aubin; Falko Schmid (MuC, 2023)

Utilizing Transformers on OCT Imagery and Metadata for Treatment Response Prediction in Macular Edema Patients. - Sahar Vahdati; Deepankan Bharathi Nagaraj; Maximilian Bryan; Sobhan Moazemi; Sabine Gründer-Fahrer; Michael Martin 001 (SCIA (2), 2023)

NFDI4Health Workflow and Service for Synthetic Data Generation, Assessment and Risk Management. - Sobhan Moazemi; Tim Adams; Hwei Geok Ng; Lisa Kühnel; Julian Schneider; Anatol-Fiete Näher; Juliane Fluck; Holger Fröhlich (GMDS, 2024)

Challenges in Imputation of ICU Time-Series Data: A Comparison of Classical and Machine Learning Approaches. - Favio Salinas; Marvin Agristean; Sobhan Moazemi; Steven Kessler; Bastian Dewitz; Hug Aubin; Artur Lichtenberg; Falko Schmid (FLAIRS, 2025)