DeepSource: Point Source Detection using Deep Learning. - Alireza Vafaei Sadr; Etienne E. Vos; Bruce A. Bassett; Zafiirah Hosenie; N. Oozeer; Michelle Lochner (CoRR, 2018)

Inpainting via Generative Adversarial Networks for CMB data analysis. - Alireza Vafaei Sadr; Farida Farsian (CoRR, 2020)

IMDb data from two generations (1979 to 2019). Part one: Dataset. - M. Bahraminasr; Alireza Vafaei Sadr (CoRR, 2020)

Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy. - Amir Jabbarpour; Seied Rabi Mahdavi; Alireza Vafaei Sadr; Golbarg Esmaili; Isaac Shiri; Habib Zaidi (Comput. Biol. Medicine, 2022)

Recommendations on test datasets for evaluating AI solutions in pathology. - André Homeyer; Christian Geißler; Lars Ole Schwen; Falk Zakrzewski; Theodore Evans; Klaus Strohmenger; Max Westphal; Roman David Bülow; Michaela Kargl; Aray Karjauv; Isidre Munné-Bertran; Carl Orge Retzlaff; et al. (CoRR, 2022)

Learning to Detect Interesting Anomalies. - Alireza Vafaei Sadr; Bruce A. Bassett; Emmanuel Sekyi (CoRR, 2022)

U-Net-based Models for Skin Lesion Segmentation: More Attention and Augmentation. - Pooya Mohammadi Kazaj; MohammadHossein Koosheshi; Ali Shahedi; Alireza Vafaei Sadr (CoRR, 2022)

A flexible framework for anomaly Detection via dimensionality reduction. - Alireza Vafaei Sadr; Bruce A. Bassett; Martin Kunz (Neural Comput. Appl., 2023)

Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer. - Mohammad Salehi; Alireza Vafaei Sadr; Seied Rabi Mahdavi; Hossein Arabi; Isaac Shiri; Reza Reiazi (J. Digit. Imaging, 2023)

Multi-institutional PET/CT image segmentation using federated deep transformer learning. - Isaac Shiri; Behrooz Razeghi; Alireza Vafaei Sadr; Mehdi Amini; Yazdan Salimi; Sohrab Ferdowsi; Peter Boor; Deniz Gündüz; Slava Voloshynovskiy; Habib Zaidi (Comput. Methods Programs Biomed., 2023)

Ecologically sustainable benchmarking of AI models for histopathology. - Yu-Chia Lan; Martin Strauch; Pourya Pilva; Nikolas E. J. Schmitz; Alireza Vafaei Sadr; Leon Niggemeier; Huong Quynh Nguyen; David L. Hölscher; Tri Q. Nguyen; Jesper Kers; Roman David Bülow; Peter Boor (npj Digit. Medicine, 2024)

Bridging gaps with computer vision: AI in (bio)medical imaging and astronomy. - Samira Rezaei; Amirmohammad Chegeni; Amir Javadpour 001; Alireza Vafaei Sadr; Lu Cao; Huub J. A. Rottgering; Marius Staring (Astron. Comput., 2025)