DeePore: a deep learning workflow for rapid and comprehensive characterization of porous materials. - Arash Rabbani; Reza Shams; Masoud Babaei (CoRR, 2020)

Resolution enhancement of placenta histological images using deep learning. - Arash Rabbani; Masoud Babaei (CoRR, 2022)

Temporal extrapolation of heart wall segmentation in cardiac magnetic resonance images via pixel tracking. - Arash Rabbani; Hao Gao 002; Dirk Husmeier (CoRR, 2022)

Automated segmentation and morphological characterization of placental histology images based on a single labeled image. - Arash Rabbani; Masoud Babaei; Masoumeh Gharib (CoRR, 2022)

DeepAngle: Fast calculation of contact angles in tomography images using deep learning. - Arash Rabbani; Chenhao Sun; Masoud Babaei; Vahid J. Niasar; Ryan T. Armstrong; Peyman Mostaghimi (CoRR, 2022)

Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications. - Arash Rabbani; Hao Gao 002; Alan Lazarus; David Dalton; Yuzhang Ge; Kenneth Mangion; Colin Berry; Dirk Husmeier (Comput. Medical Imaging Graph., 2023)

Advanced statistical inference of myocardial stiffness: A time series Gaussian process approach of emulating cardiac mechanics for real-time clinical decision support. - Yuzhang Ge; Dirk Husmeier; Arash Rabbani; Hao Gao 002 (Comput. Biol. Medicine, 2025)