Multi-class Classification: A Coding Based Space Partitioning. - Sohrab Ferdowsi; Sviatoslav Voloshynovskiy; Marcin Gabryel; Marcin Korytkowski (ICAISC (2), 2014)

Robust Face Recognition by Group Sparse Representation That Uses Samples from List of Subjects. - Dimche Kostadinov; Sviatoslav Voloshynovskiy; Sohrab Ferdowsi; Maurits Diephuis; Rafal Scherer (ICAISC (2), 2014)

Novel Algorithm for Translation from Image Content to Semantic Form. - Janusz Rygal; Jakub Romanowski; Rafal Scherer; Sohrab Ferdowsi (ICAISC (1), 2014)

Content identification: binary content fingerprinting versus binary content encoding. - Sohrab Ferdowsi; Svyatoslav Voloshynovskiy; Dimche Kostadinov (Media Watermarking, Security, and Forensics, 2014)

Robust human face recognition based on locality preserving sparse over complete block approximation. - Dimche Kostadinov; Svyatoslav Voloshynovskiy; Sohrab Ferdowsi (Media Watermarking, Security, and Forensics, 2014)

Vector quantization with constrained likelihood for face recognition. - Dimche Kostadinov; Sviatoslav Voloshynovskiy; Maurits Diephuis; Sohrab Ferdowsi (EUSIPCO, 2015)

Secure Representation of Images Using Multi-layer Compression. - Sohrab Ferdowsi; Sviatoslav Voloshynovskiy; Dimche Kostadinov; Marcin Korytkowski; Rafal Scherer (ICAISC (1), 2015)

Software Framework for Modular Machine Learning Systems. - Marcin Korytkowski; Magdalena Scherer; Sohrab Ferdowsi (ICAISC, 2015)

Supervised Transform Learning for Face Recognition. - Dimche Kostadinov; Sviatoslav Voloshynovskiy; Sohrab Ferdowsi; Maurits Diephuis; Rafal Scherer (ICAISC (1), 2015)

Mobile Fuzzy System for Detecting Loss of Consciousness and Epileptic Seizure. - Pawel Staszewski; Piotr Woldan; Sohrab Ferdowsi (ICAISC, 2015)

Sparse Multi-layer Image Approximation: Facial Image Compression. - Sohrab Ferdowsi; Svyatoslav Voloshynovskiy; Dimche Kostadinov (CoRR, 2015)

Local Active Content Fingerprint: Solutions for general linear feature maps. - Dimche Kostadinov; Slava Voloshynovskiy; Maurits Diephuis; Sohrab Ferdowsi; Taras Holotyak (ICPR, 2016)

Fast content identification in high-dimensional feature spaces using Sparse Ternary Codes. - Sohrab Ferdowsi; Slava Voloshynovskiy; Dimche Kostadinov; Taras Holotyak (WIFS, 2016)

Joint learning of local fingerprint and content modulation. - Dimche Kostadinov; Slava Voloshynovskiy; Sohrab Ferdowsi (EUSIPCO, 2017)

A multi-layer image representation using regularized residual quantization: Application to compression and denoising. - Sohrab Ferdowsi; Slava Voloshynovskiy; Dimche Kostadinov (ICIP, 2017)

Sparse ternary codes for similarity search have higher coding gain than dense binary codes. - Sohrab Ferdowsi; Slava Voloshynovskiy; Dimche Kostadinov; Taras Holotyak (ISIT, 2017)

Regularized Residual Quantization: a multi-layer sparse dictionary learning approach. - Sohrab Ferdowsi; Slava Voloshynovskiy; Dimche Kostadinov (CoRR, 2017)

A multi-layer network based on Sparse Ternary Codes for universal vector compression. - Sohrab Ferdowsi; Slava Voloshynovskiy; Dimche Kostadinov (CoRR, 2017)

Vector Compression for Similarity Search Using Multi-Layer Sparse Ternary Codes. - Sohrab Ferdowsi; Slava Voloshynovskiy; Dimche Kostadinov (DSW, 2018)

Active Content Fingerprinting Using Latent Data Representation, Extractor and Reconstructor. - Dimche Kostadinov; Sviatoslav Voloshynovskiy; Sohrab Ferdowsi (EUSIPCO, 2018)

Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization. - Behrooz Razeghi; Slava Voloshynovskiy; Sohrab Ferdowsi; Dimche Kostadinov (EUSIPCO, 2018)

Learning Overcomplete and Sparsifying Transform With Approximate and Exact Closed Form Solutions. - Dimche Kostadinov; Sviatoslav Voloshynovskiy; Sohrab Ferdowsi (EUVIP, 2018)

Learning Discrimination Specific, Self-Collaborative and Nonlinear Model. - Dimche Kostadinov; Behrooz Razeghi; Svyatoslav Voloshynovskiy; Sohrab Ferdowsi (ICBK, 2018)

Network Learning with Local Propagation. - Dimche Kostadinov; Behrooz Razeghi; Sohrab Ferdowsi; Slava Voloshynovskiy (CoRR, 2018)

Learning to compress and search visual data in large-scale systems. - Sohrab Ferdowsi (2018)

Learning to compress and search visual data in large-scale systems. - Sohrab Ferdowsi (CoRR, 2019)

ρ-VAE: Autoregressive parametrization of the VAE encoder. - Sohrab Ferdowsi; Maurits Diephuis; Shideh Rezaeifar; Slava Voloshynovskiy (CoRR, 2019)

Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups. - Sohrab Ferdowsi; Behrooz Razeghi; Taras Holotyak; Flávio P. Calmon; Slava Voloshynovskiy (ICASSP, 2020)

SIB Text Mining at TREC 2020 Deep Learning Track. - Julien Knafou; Matthew Jeffryes; Sohrab Ferdowsi; Patrick Ruch (TREC, 2020)

Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus. - Sohrab Ferdowsi; Nikolay Borissov; Julien Knafou; Poorya Amini; Douglas Teodoro (EMNLP (1), 2021)

Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation. - Behrooz Razeghi; Sohrab Ferdowsi; Dimche Kostadinov; Flávio P. Calmon; Slava Voloshynovskiy (ICASSP, 2021)

Vaccine Development in the Time of COVID-19: The Relevance of the Risklick AI to Assist in Risk Assessment and Optimize Performance. - Quentin Haas; Nikolay Borisov; David Vicente Alvarez; Sohrab Ferdowsi; Leonhard von Mayenn; Douglas Teodoro; Poorya Amini (Frontiers Digit. Health, 2021)

DeepTOFSino: A deep learning model for synthesizing full-dose time-of-flight bin sinograms from their corresponding low-dose sinograms. - Amirhossein Sanaat; Hossein Shooli; Sohrab Ferdowsi; Isaac Shiri; Hossein Arabi; Habib Zaidi (NeuroImage, 2021)

On Graph Construction for Classification of Clinical Trials Protocols Using Graph Neural Networks. - Sohrab Ferdowsi; Jenny Copara; Racha Gouareb; Nikolay Borissov; Fernando Jaume-Santero; Poorya Amini; Douglas Teodoro (AIME, 2022)

Compressed Data Sharing Based On Information Bottleneck Model. - Behrooz Razeghi; Shideh Rezaeifar; Sohrab Ferdowsi; Taras Holotyak; Slava Voloshynovskiy (ICASSP, 2022)

Vessel Destination Prediction Using a Graph-Based Machine Learning Model. - Racha Gouareb; Francois Can; Sohrab Ferdowsi; Douglas Teodoro (NetSci-X, 2022)

Robust-Deep: A Method for Increasing Brain Imaging Datasets to Improve Deep Learning Models' Performance and Robustness. - Amirhossein Sanaat; Isaac Shiri; Sohrab Ferdowsi; Hossein Arabi; Habib Zaidi (J. Digit. Imaging, 2022)

Deep learning-based risk prediction for interventional clinical trials based on protocol design: A retrospective study. - Sohrab Ferdowsi; Julien Knafou; Nikolay Borissov; David Vicente Alvarez; Rahul Mishra 004; Poorya Amini; Douglas Teodoro (Patterns, 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., 2023)

PRIMIS: Privacy-preserving medical image sharing via deep sparsifying transform learning with obfuscation. - Isaac Shiri; Behrooz Razeghi; Sohrab Ferdowsi; Yazdan Salimi; Deniz Gündüz; Douglas Teodoro; Slava Voloshynovskiy; Habib Zaidi (J. Biomed. Informatics, 2024)