Sobhan Moazemi

According to our database, Sobhan Moazemi authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Proceedings of the 38th International Florida Artificial Intelligence Research Society Conference, 2025

2024

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

Proceedings of the German Medical Data Sciences 2024 - Health, 2024

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

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

Enacted Selves in Technological Activities - Framework and Case Study in Immersive Telementoring.

Bastian Dewitz, Sobhan Moazemi, Sebastian Kalkhoff, Steven Kessler, Christian Geiger, Frank Steinicke, Hug Aubin, Falko Schmid

Proceedings of the Mensch und Computer 2023, 2023

2022

Computer Assisted Diagnosis in PET/CT: Machine Learning for Prognosis in Oncological Patients

Sobhan Moazemi

PhD thesis, 2022

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, Frank Steinicke, Hug Aubin, Falko Schmid

Frontiers Virtual Real., 2022

2021

Predicting Treatment Response in Prostate Cancer Patients Based on Multimodal PET/CT for Clinical Decision Support.

Sobhan Moazemi, Markus Essler, Thomas Schultz, Ralph A. Bundschuh

Proceedings of the Multimodal Learning for Clinical Decision Support, 2021