Alireza Vafaei Sadr

According to our database, Alireza Vafaei Sadr authored at least 12 papers between 2018 and 2025.

Collaborative distances:

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

2025

Bridging gaps with computer vision: AI in (bio)medical imaging and astronomy.

Samira Rezaei, Amirmohammad Chegeni, Amir Javadpour, Alireza Vafaei Sadr, Lu Cao, Huub J. A. Rottgering, Marius Staring

Astron. Comput., 2025

2024

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

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., October, 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, April, 2023

A flexible framework for anomaly Detection via dimensionality reduction.

Alireza Vafaei Sadr, Bruce A. Bassett, Martin Kunz

Neural Comput. Appl., 2023

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

Learning to Detect Interesting Anomalies.

Alireza Vafaei Sadr, Bruce A. Bassett, Emmanuel Sekyi

CoRR, 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, Adrià Romero-López, Tomasz Soltysinski, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe

CoRR, 2022

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

2020

IMDb data from two generations (1979 to 2019). Part one: Dataset.

M. Bahraminasr, Alireza Vafaei Sadr

CoRR, 2020

Inpainting via Generative Adversarial Networks for CMB data analysis.

Alireza Vafaei Sadr, Farida Farsian

CoRR, 2020

2018

DeepSource: Point Source Detection using Deep Learning.

Alireza Vafaei Sadr, Etienne E. Vos, Bruce A. Bassett, Zafiirah Hosenie, N. Oozeer, Michelle Lochner

CoRR, 2018