Sohrab Ferdowsi

According to our database, Sohrab Ferdowsi authored at least 39 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., October, 2023

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, Poorya Amini, Douglas Teodoro

Patterns, March, 2023

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

Vessel Destination Prediction Using a Graph-Based Machine Learning Model.

Racha Gouareb, Francois Can, Sohrab Ferdowsi, Douglas Teodoro

Proceedings of the Network Science - 7th International Winter Conference, 2022

Compressed Data Sharing Based On Information Bottleneck Model.

Behrooz Razeghi, Shideh Rezaeifar, Sohrab Ferdowsi, Taras Holotyak, Slava Voloshynovskiy

Proceedings of the IEEE International Conference on Acoustics, 2022

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

Proceedings of the Artificial Intelligence in Medicine, 2022

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

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

Privacy-Preserving near Neighbor Search via Sparse Coding with Ambiguation.

Behrooz Razeghi, Sohrab Ferdowsi, Dimche Kostadinov, Flávio P. Calmon, Slava Voloshynovskiy

Proceedings of the IEEE International Conference on Acoustics, 2021

Classification of hierarchical text using geometric deep learning: the case of clinical trials corpus.

Sohrab Ferdowsi, Nikolay Borissov, Julien Knafou, Poorya Amini, Douglas Teodoro

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

SIB Text Mining at TREC 2020 Deep Learning Track.

Julien Knafou, Matthew Jeffryes, Sohrab Ferdowsi, Patrick Ruch

Proceedings of the Twenty-Ninth Text REtrieval Conference, 2020

Privacy-Preserving Image Sharing Via Sparsifying Layers on Convolutional Groups.

Sohrab Ferdowsi, Behrooz Razeghi, Taras Holotyak, Flávio P. Calmon, Slava Voloshynovskiy

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

ρ-VAE: Autoregressive parametrization of the VAE encoder.

Sohrab Ferdowsi, Maurits Diephuis, Shideh Rezaeifar, Slava Voloshynovskiy

CoRR, 2019

Learning to compress and search visual data in large-scale systems.

Sohrab Ferdowsi

CoRR, 2019

2018

Learning to compress and search visual data in large-scale systems.

Sohrab Ferdowsi

PhD thesis, 2018

Network Learning with Local Propagation.

Dimche Kostadinov, Behrooz Razeghi, Sohrab Ferdowsi, Slava Voloshynovskiy

CoRR, 2018

Learning Discrimination Specific, Self-Collaborative and Nonlinear Model.

Dimche Kostadinov, Behrooz Razeghi, Svyatoslav Voloshynovskiy, Sohrab Ferdowsi

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Learning Overcomplete and Sparsifying Transform With Approximate and Exact Closed Form Solutions.

Dimche Kostadinov, Sviatoslav Voloshynovskiy, Sohrab Ferdowsi

Proceedings of the 7th European Workshop on Visual Information Processing, 2018

Privacy-Preserving Identification via Layered Sparse Code Design: Distributed Servers and Multiple Access Authorization.

Behrooz Razeghi, Slava Voloshynovskiy, Sohrab Ferdowsi, Dimche Kostadinov

Proceedings of the 26th European Signal Processing Conference, 2018

Active Content Fingerprinting Using Latent Data Representation, Extractor and Reconstructor.

Dimche Kostadinov, Sviatoslav Voloshynovskiy, Sohrab Ferdowsi

Proceedings of the 26th European Signal Processing Conference, 2018

Vector Compression for Similarity Search Using Multi-Layer Sparse Ternary Codes.

Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov

Proceedings of the 2018 IEEE Data Science Workshop, 2018

2017

A multi-layer network based on Sparse Ternary Codes for universal vector compression.

Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov

CoRR, 2017

Regularized Residual Quantization: a multi-layer sparse dictionary learning approach.

Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov

CoRR, 2017

Sparse ternary codes for similarity search have higher coding gain than dense binary codes.

Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov, Taras Holotyak

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

A multi-layer image representation using regularized residual quantization: Application to compression and denoising.

Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Joint learning of local fingerprint and content modulation.

Dimche Kostadinov, Slava Voloshynovskiy, Sohrab Ferdowsi

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Fast content identification in high-dimensional feature spaces using Sparse Ternary Codes.

Sohrab Ferdowsi, Slava Voloshynovskiy, Dimche Kostadinov, Taras Holotyak

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2016

Local Active Content Fingerprint: Solutions for general linear feature maps.

Dimche Kostadinov, Slava Voloshynovskiy, Maurits Diephuis, Sohrab Ferdowsi, Taras Holotyak

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Sparse Multi-layer Image Approximation: Facial Image Compression.

Sohrab Ferdowsi, Svyatoslav Voloshynovskiy, Dimche Kostadinov

CoRR, 2015

Mobile Fuzzy System for Detecting Loss of Consciousness and Epileptic Seizure.

Pawel Staszewski, Piotr Woldan, Sohrab Ferdowsi

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Supervised Transform Learning for Face Recognition.

Dimche Kostadinov, Sviatoslav Voloshynovskiy, Sohrab Ferdowsi, Maurits Diephuis, Rafal Scherer

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Software Framework for Modular Machine Learning Systems.

Marcin Korytkowski, Magdalena Scherer, Sohrab Ferdowsi

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Secure Representation of Images Using Multi-layer Compression.

Sohrab Ferdowsi, Sviatoslav Voloshynovskiy, Dimche Kostadinov, Marcin Korytkowski, Rafal Scherer

Proceedings of the Artificial Intelligence and Soft Computing, 2015

Vector quantization with constrained likelihood for face recognition.

Dimche Kostadinov, Sviatoslav Voloshynovskiy, Maurits Diephuis, Sohrab Ferdowsi

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Robust human face recognition based on locality preserving sparse over complete block approximation.

Dimche Kostadinov, Svyatoslav Voloshynovskiy, Sohrab Ferdowsi

Proceedings of the Media Watermarking, 2014

Content identification: binary content fingerprinting versus binary content encoding.

Sohrab Ferdowsi, Svyatoslav Voloshynovskiy, Dimche Kostadinov

Proceedings of the Media Watermarking, 2014

Novel Algorithm for Translation from Image Content to Semantic Form.

Janusz Rygal, Jakub Romanowski, Rafal Scherer, Sohrab Ferdowsi

Proceedings of the Artificial Intelligence and Soft Computing, 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

Proceedings of the Artificial Intelligence and Soft Computing, 2014

Multi-class Classification: A Coding Based Space Partitioning.

Sohrab Ferdowsi, Sviatoslav Voloshynovskiy, Marcin Gabryel, Marcin Korytkowski

Proceedings of the Artificial Intelligence and Soft Computing, 2014