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Sohrab Ferdowsi
Sohrab Ferdowsi
Machine learning and image analysis expert at EarlySight SA
Verified email at earlysight.com - Homepage
Title
Cited by
Cited by
Year
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
442022
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
372021
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
362023
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
332016
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
322022
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
132020
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
112021
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
112017
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
102021
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
92023
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
92021
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
82022
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
72018
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
72018
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
62023
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
52021
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
52020
-VAE: Autoregressive parametrization of the VAE encoder
S Ferdowsi, M Diephuis, S Rezaeifar, S Voloshynovskiy
https://arxiv.org/abs/1909.06236, 2019
52019
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising
S Ferdowsi, S Voloshynovskiy, D Kostadinov
IEEE International Conference on Image Processing 2017, 2017
52017
Multi-class Classification: A Coding Based Space Partitioning
S Ferdowsi, S Voloshynovskiy, M Gabryel, M Korytkowski
Artificial Intelligence and Soft Computing: 13th International Conference …, 2014
52014
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