Alireza Vafaei Sadr

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 11

Top Topics

Lesion Segmentation

Detecting Anomalous

Top Venues

Comput. Biol. Medicine

Neural Comput. Appl.

Comput. Methods Programs Biomed.

Publications

Mohammad Salehi, Alireza Vafaei Sadr, Seied Rabi Mahdavi, Hossein Arabi, Isaac Shiri, Reza Reiazi
Deep Learning-based Non-rigid Image Registration for High-dose Rate Brachytherapy in Inter-fraction Cervical Cancer. J. Digit. Imaging 36 (2) (2023)
Isaac Shiri, Behrooz Razeghi, Alireza Vafaei Sadr, Mehdi Amini, Yazdan Salimi, Sohrab Ferdowsi, Peter Boor, Deniz Gündüz, Slava Voloshynovskiy, Habib Zaidi
Multi-institutional PET/CT image segmentation using federated deep transformer learning. Comput. Methods Programs Biomed. 240 (2023)
Alireza Vafaei Sadr, Bruce A. Bassett, Martin Kunz
A flexible framework for anomaly Detection via dimensionality reduction. Neural Comput. Appl. 35 (2) (2023)
Pooya Mohammadi Kazaj, MohammadHossein Koosheshi, Ali Shahedi, Alireza Vafaei Sadr
U-Net-based Models for Skin Lesion Segmentation: More Attention and Augmentation. CoRR (2022)
Amir Jabbarpour, Seied Rabi Mahdavi, Alireza Vafaei Sadr, Golbarg Esmaili, Isaac Shiri, Habib Zaidi
Unsupervised pseudo CT generation using heterogenous multicentric CT/MR images and CycleGAN: Dosimetric assessment for 3D conformal radiotherapy. Comput. Biol. Medicine 143 (2022)
Alireza Vafaei Sadr, Bruce A. Bassett, Emmanuel Sekyi
Learning to Detect Interesting Anomalies. CoRR (2022)
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
Recommendations on test datasets for evaluating AI solutions in pathology. CoRR (2022)
M. Bahraminasr, Alireza Vafaei Sadr
IMDb data from two generations (1979 to 2019). Part one: Dataset. CoRR (2020)
Alireza Vafaei Sadr, Farida Farsian
Inpainting via Generative Adversarial Networks for CMB data analysis. CoRR (2020)
Alireza Vafaei Sadr, Bruce A. Bassett, Martin Kunz
A Flexible Framework for Anomaly Detection via Dimensionality Reduction. CoRR (2019)
Alireza Vafaei Sadr, Etienne E. Vos, Bruce A. Bassett, Zafiirah Hosenie, N. Oozeer, Michelle Lochner
DeepSource: Point Source Detection using Deep Learning. CoRR (2018)