| Decentralized distributed multi-institutional PET image segmentation using a federated deep learning framework I Shiri, AV Sadr, M Amini, Y Salimi, A Sanaat, A Akhavanallaf, B Razeghi, ... Clinical Nuclear Medicine 47 (7), 606-617, 2022 | 45 | 2022 |
| Decentralized collaborative multi-institutional PET attenuation and scatter correction using federated deep learning I Shiri, A Vafaei Sadr, A Akhavan, Y Salimi, A Sanaat, M Amini, B Razeghi, ... European Journal of Nuclear Medicine and Molecular Imaging 50 (4), 1034-1050, 2023 | 39 | 2023 |
| DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms A Sanaat, H Shooli, S Ferdowsi, I Shiri, H Arabi, H Zaidi Neuroimage 245, 118697, 2021 | 38 | 2021 |
| Robust-Deep: a method for increasing brain imaging datasets to improve deep learning models’ performance and robustness A Sanaat, I Shiri, S Ferdowsi, H Arabi, H Zaidi Journal of Digital Imaging 35 (3), 469-481, 2022 | 33 | 2022 |
| Fast content identification in high-dimensional feature spaces using sparse ternary codes S Ferdowsi, S Voloshynovskiy, D Kostadinov, T Holotyak 2016 IEEE International Workshop on Information Forensics and Security (WIFS …, 2016 | 32 | 2016 |
| Information Retrieval in an Infodemic: The Case of COVID-19 Publications D Teodoro, S Ferdowsi, N Borissov, E Kashani, DV Alvarez, J Copara, ... Journal of Medical Internet Research (JMIR) 23, 2021 | 14 | 2021 |
| Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups S Ferdowsi, B Razeghi, FP Calmon, T Holotyak, S Voloshynovskiy 45th International Conference on Acoustics, Speech, and Signal Processing …, 2020 | 13 | 2020 |
| Multi-institutional PET/CT image segmentation using federated deep transformer learning I Shiri, B Razeghi, AV Sadr, M Amini, Y Salimi, S Ferdowsi, P Boor, ... Computer Methods and Programs in Biomedicine 240, 107706, 2023 | 11 | 2023 |
| Sparse ternary codes for similarity search have higher coding gain than dense binary codes S Ferdowsi, S Voloshynovskiy, D Kostadinov, T Holotyak Information Theory (ISIT), 2017 IEEE International Symposium on, 2017 | 11 | 2017 |
| Federated learning-based deep learning model for PET attenuation and scatter correction: a multi-center study I Shiri, AV Sadr, A Sanaat, S Ferdowsi, H Arabi, H Zaidi 2021 IEEE nuclear science symposium and medical imaging conference (NSS/MIC …, 2021 | 10 | 2021 |
| Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus S Ferdowsi, N Borissov, J Knafou, P Amini, D Teodoro Empirical Methods in Natural Language Processing 2021 (EMNLP'21), 2021 | 9 | 2021 |
| Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study S Ferdowsi, J Knafou, N Borissov, DV Alvarez, R Mishra, P Amini, ... Patterns 4 (3), 2023 | 8 | 2023 |
| Multi-institutional PET/CT image segmentation using a decentralized federated deep transformer learning algorithm I Shiri, M Amini, Y Salimi, A Sanaat, A Saberi, B Razeghi, S Ferdowsi, ... Journal of Nuclear Medicine 63 (supplement 2), 3348-3348, 2022 | 8 | 2022 |
| Learning overcomplete and sparsifying transform with approximate and exact closed form solutions D Kostadinov, S Voloshynovskiy, S Ferdowsi 2018 7th European Workshop on Visual Information Processing (EUVIP), 1-6, 2018 | 8 | 2018 |
| Privacy-preserving identification via layered sparse code design: Distributed servers and multiple access authorization B Razeghi, S Voloshynovskiy, S Ferdowsi, D Kostadinov 2018 26th European Signal Processing Conference (EUSIPCO), 2578-2582, 2018 | 8 | 2018 |
| Vessel destination prediction using a graph-based machine learning model R Gouareb, F Can, S Ferdowsi, D Teodoro International Conference on Network Science, 80-93, 2022 | 6 | 2022 |
| On graph construction for classification of clinical trials protocols using graph neural networks S Ferdowsi, J Copara, R Gouareb, N Borissov, F Jaume-Santero, P Amini, ... International Conference on Artificial Intelligence in Medicine, 249-259, 2022 | 5 | 2022 |
| Vaccine development in the time of COVID-19: the relevance of the Risklick AI to assist in risk assessment and optimize performance Q Haas, N Borisov, DV Alvarez, S Ferdowsi, L von Meyenn, D Teodoro, ... Frontiers in digital health 3, 745674, 2021 | 5 | 2021 |
| Robust-Deep: A Method for Increasing Imaging Datasets to Improve Deep Learning Models’ Robustness and Qualitative/Quantitative Metrics A Sanaat, I Shiri, S Ferdowsi, H Arabi, H Zaidi Journal of Nuclear Medicine 62 (supplement 1), 1186-1186, 2021 | 5 | 2021 |
| SIB text mining at TREC 2020 deep learning track J Knafou, M Jeffryes, S Ferdowsi, P Ruch Proceedings of the Twenty-Ninth Text REtrieval Conference (TREC 2020), 2020 | 5 | 2020 |
Svyatoslav (Slava) VoloshynovskiyProfessor of Computer Science, University of Geneva, SwitzerlandVerified email at unige.ch
