Natan T. Shaked

According to our database, Natan T. Shaked authored at least 14 papers between 2008 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution.

Elad Yoshai, Ariel D. Yoshai, Natan T. Shaked

CoRR, March, 2026

2025

Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells.

Elad Yoshai, Dana Yagoda-Aharoni, Eden Dotan, Natan T. Shaked

CoRR, May, 2025

2024

Super-Resolution of Histopathological Frozen Sections via Deep Learning Preserving Tissue Structure.

Elad Yoshai, Gil Goldinger, Miki Haifler, Natan T. Shaked

Adv. Intell. Syst., August, 2024

Label-Free Imaging Flow Cytometry for Cell Classification Based on Multiple Interferometric Projections Using Deep Learning.

Anat Cohen, Matan Dudaie, Itay Barnea, Francesca Borrelli, Jaromír Behal, Lisa Miccio, Pasquale Memmolo, Vittorio Bianco, Pietro Ferraro, Natan T. Shaked

Adv. Intell. Syst., January, 2024

Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention.

Elad Yoshai, Gil Goldinger, Miki Haifler, Natan T. Shaked

CoRR, 2024

2023

Location Prediction of Sperm Cells Using Long Short-Term Memory Networks.

Lioz Noy, Itay Barnea, Matan Dudaie, Dotan Kamber, Mattan Levi, Natan T. Shaked

Adv. Intell. Syst., September, 2023

2022

Simultaneous Morphology, Motility, and Fragmentation Analysis of Live Individual Sperm Cells for Male Fertility Evaluation.

Keren Ben-Yehuda, Simcha K. Mirsky, Mattan Levi, Itay Barnea, Inbal Meshulach, Sapir Kontente, Daniel Benvaish, Rachel Cur-Cycowicz, Yoav N. Nygate, Natan T. Shaked

Adv. Intell. Syst., 2022

2021

Deep learning analysis on raw image data: case study on holographic cell analysis.

Gal Gozes, Shani Ben Baruch, Noa Rotman-Nativ, Darina Roitshtain, Natan T. Shaked, Hayit Greenspan

Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2019

TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.

Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked

Medical Image Anal., 2019

2018

TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set.

Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked

CoRR, 2018

2012

Parallel decomposition of combinatorial optimization problems using electro-optical vector by matrix multiplication architecture.

Dan E. Tamir, Natan T. Shaked, Wilhelmus J. Geerts, Shlomi Dolev

J. Supercomput., 2012

2010

Compressive Sensing of Object-Signature.

Dan E. Tamir, Natan T. Shaked, Wilhelmus J. Geerts, Shlomi Dolev

Proceedings of the Optical Supercomputing - Third International Workshop, 2010

2009

Combinatorial Optimization Using Electro-Optical Vector by Matrix Multiplication Architecture.

Dan E. Tamir, Natan T. Shaked, Wilhelmus J. Geerts, Shlomi Dolev

Proceedings of the Optical SuperComputing, Second International Workshop, 2009

2008

Electro-Optical DSP of Tera Operations per Second and Beyond (Extended Abstract).

Dan E. Tamir, Natan T. Shaked, Peter J. Wilson, Shlomi Dolev

Proceedings of the Optical Super Computing, First International Workshop, 2008