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ORCIDSohrab Ferdowsi
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Books and Theses
- 2018
[b1]Sohrab Ferdowsi:
Learning to compress and search visual data in large-scale systems. University of Geneva, Switzerland, 2018
Journal Articles
- 2024
- [j6]Isaac Shiri
, Behrooz Razeghi, Sohrab Ferdowsi, Yazdan Salimi, Deniz Gündüz, Douglas Teodoro, Slava Voloshynovskiy, Habib Zaidi:
PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation. J. Biomed. Informatics 150: 104583 (2024) - 2023
- [j5]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: 107706 (2023) - [j4]Sohrab Ferdowsi, Julien Knafou, Nikolay Borissov, David Vicente Alvarez, Rahul Mishra, Poorya Amini, Douglas Teodoro:
Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study. Patterns 4(3): 100689 (2023) - 2022
- [j3]Amirhossein Sanaat, Isaac Shiri, Sohrab Ferdowsi, Hossein Arabi, Habib Zaidi:
Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness. J. Digit. Imaging 35(3): 469-481 (2022) - 2021
- [j2]Quentin Haas, Nikolay Borisov, David Vicente Alvarez, Sohrab Ferdowsi, Leonhard von Mayenn, Douglas Teodoro, Poorya Amini:
Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance. Frontiers Digit. Health 3: 745674 (2021) - [j1]Amirhossein Sanaat, Hossein Shooli, Sohrab Ferdowsi, Isaac Shiri, Hossein Arabi, Habib Zaidi:
DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms. NeuroImage 245: 118697 (2021)
Conference and Workshop Papers
- 2022
- [c27]Sohrab Ferdowsi, Jenny Copara, Racha Gouareb, Nikolay Borissov, Fernando Jaume-Santero, Poorya Amini, Douglas Teodoro:
On Graph Construction for Classification of Clinical Trials Protocols Using Graph Neural Networks. AIME 2022: 249-259 - [c26]Behrooz Razeghi, Shideh Rezaeifar, Sohrab Ferdowsi, Taras Holotyak, Slava Voloshynovskiy:
Compressed Data Sharing Based On Information Bottleneck Model. ICASSP 2022: 3009-3013 - [c25]Racha Gouareb, Francois Can, Sohrab Ferdowsi, Douglas Teodoro:
Vessel Destination Prediction Using a Graph-Based Machine Learning Model. NetSci-X 2022: 80-93 - 2021
- [c24]Sohrab Ferdowsi, Nikolay Borissov, Julien Knafou, Poorya Amini, Douglas Teodoro:
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus. EMNLP (1) 2021: 608-618 - [c23]Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation. ICASSP 2021: 2635-2639 - 2020
- [c22]Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups. ICASSP 2020: 2797-2801 - [c21]Julien Knafou, Matthew Jeffryes, Sohrab Ferdowsi, Patrick Ruch:
SIB Text Mining at TREC 2020 Deep Learning Track. TREC 2020 - 2018
- [c20]Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov:
Vector Compression for Similarity Search Using Multi-Layer Sparse Ternary Codes. DSW 2018: 110-114 - [c19]Dimche Kostadinov, Sviatoslav Voloshynovskiy, Sohrab Ferdowsi:
Active Content Fingerprinting Using Latent Data Representation, Extractor and Reconstructor. EUSIPCO 2018: 1417-1421 - [c18]Behrooz Razeghi, Slava Voloshynovskiy, Sohrab Ferdowsi, Dimche Kostadinov:
Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization. EUSIPCO 2018: 2578-2582 - [c17]Dimche Kostadinov, Sviatoslav Voloshynovskiy, Sohrab Ferdowsi:
Learning Overcomplete and Sparsifying Transform With Approximate and Exact Closed Form Solutions. EUVIP 2018: 1-6 - [c16]Dimche Kostadinov, Behrooz Razeghi, Svyatoslav Voloshynovskiy, Sohrab Ferdowsi:
Learning Discrimination Specific, Self-Collaborative and Nonlinear Model. ICBK 2018: 306-313 - 2017
- [c15]Dimche Kostadinov, Slava Voloshynovskiy, Sohrab Ferdowsi:
Joint learning of local fingerprint and content modulation. EUSIPCO 2017: 276-280 - [c14]Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov:
A multi-layer image representation using regularized residual quantization: Application to compression and denoising. ICIP 2017: 2697-2701 - [c13]Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov, Taras Holotyak:
Sparse ternary codes for similarity search have higher coding gain than dense binary codes. ISIT 2017: 2653-2657 - 2016
- [c12]Dimche Kostadinov, Slava Voloshynovskiy, Maurits Diephuis, Sohrab Ferdowsi, Taras Holotyak:
Local Active Content Fingerprint: Solutions for general linear feature maps. ICPR 2016: 949-954 - [c11]Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov, Taras Holotyak:
Fast content identification in high-dimensional feature spaces using Sparse Ternary Codes. WIFS 2016: 1-6 - 2015
- [c10]Dimche Kostadinov, Sviatoslav Voloshynovskiy, Maurits Diephuis, Sohrab Ferdowsi:
Vector quantization with constrained likelihood for face recognition. EUSIPCO 2015: 140-144 - [c9]Pawel Staszewski, Piotr Woldan, Sohrab Ferdowsi:
Mobile Fuzzy System for Detecting Loss of Consciousness and Epileptic Seizure. ICAISC 2015: 142-150 - [c8]Sohrab Ferdowsi, Sviatoslav Voloshynovskiy, Dimche Kostadinov, Marcin Korytkowski, Rafal Scherer:
Secure Representation of Images Using Multi-layer Compression. ICAISC (1) 2015: 696-705 - [c7]Dimche Kostadinov, Sviatoslav Voloshynovskiy, Sohrab Ferdowsi, Maurits Diephuis, Rafal Scherer:
Supervised Transform Learning for Face Recognition. ICAISC (1) 2015: 737-746 - [c6]Marcin Korytkowski, Magdalena Scherer, Sohrab Ferdowsi:
Software Framework for Modular Machine Learning Systems. ICAISC 2015: 760-767 - 2014
- [c5]Sohrab Ferdowsi, Sviatoslav Voloshynovskiy, Marcin Gabryel, Marcin Korytkowski:
Multi-class Classification: A Coding Based Space Partitioning. ICAISC (2) 2014: 593-604 - [c4]Dimche Kostadinov, Sviatoslav Voloshynovskiy, Sohrab Ferdowsi, Maurits Diephuis, Rafal Scherer:
Robust Face Recognition by Group Sparse Representation That Uses Samples from List of Subjects. ICAISC (2) 2014: 616-626 - [c3]Janusz Rygal, Jakub Romanowski, Rafal Scherer, Sohrab Ferdowsi:
Novel Algorithm for Translation from Image Content to Semantic Form. ICAISC (1) 2014: 783-792 - [c2]Sohrab Ferdowsi, Svyatoslav Voloshynovskiy, Dimche Kostadinov:
Content identification: binary content fingerprinting versus binary content encoding. Media Watermarking, Security, and Forensics 2014: 90280P - [c1]Dimche Kostadinov, Svyatoslav Voloshynovskiy, Sohrab Ferdowsi:
Robust human face recognition based on locality preserving sparse over complete block approximation. Media Watermarking, Security, and Forensics 2014: 902809
Informal and Other Publications
- 2021
- [i12]Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation. CoRR abs/2102.04274 (2021) - [i11]Sohrab Ferdowsi, Nikolay Borissov, Julien Knafou, Poorya Amini, Douglas Teodoro:
Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus. CoRR abs/2110.15710 (2021) - 2020
- [i10]Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy:
Privacy-Preserving Image Sharing via Sparsifying Layers on Convolutional Groups. CoRR abs/2002.01469 (2020) - 2019
- [i9]Sohrab Ferdowsi:
Learning to compress and search visual data in large-scale systems. CoRR abs/1901.08437 (2019) - [i8]Sohrab Ferdowsi, Maurits Diephuis, Shideh Rezaeifar, Slava Voloshynovskiy:
ρ-VAE: Autoregressive parametrization of the VAE encoder. CoRR abs/1909.06236 (2019) - 2018
- [i7]Dimche Kostadinov, Behrooz Razeghi, Sohrab Ferdowsi, Slava Voloshynovskiy:
Network Learning with Local Propagation. CoRR abs/1805.07802 (2018) - [i6]Behrooz Razeghi, Slava Voloshynovskiy, Sohrab Ferdowsi, Dimche Kostadinov:
Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization. CoRR abs/1806.08658 (2018) - 2017
- [i5]Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov, Taras Holotyak:
Sparse Ternary Codes for similarity search have higher coding gain than dense binary codes. CoRR abs/1701.07675 (2017) - [i4]Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov:
Regularized Residual Quantization: a multi-layer sparse dictionary learning approach. CoRR abs/1705.00522 (2017) - [i3]Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov:
A multi-layer image representation using Regularized Residual Quantization: application to compression and denoising. CoRR abs/1707.02194 (2017) - [i2]Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov:
A multi-layer network based on Sparse Ternary Codes for universal vector compression. CoRR abs/1710.11510 (2017) - 2015
- [i1]Sohrab Ferdowsi, Svyatoslav Voloshynovskiy, Dimche Kostadinov:
Sparse Multi-layer Image Approximation: Facial Image Compression. CoRR abs/1506.03998 (2015)
Coauthor Index
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