Natan T. Shaked

15 papers Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
CAFlow: Adaptive-Depth Single-Step Flow Matching for Efficient Histopathology Super-Resolution.
CoRR
Elad Yoshai, Ariel D. Yoshai, Natan T. Shaked
2025 J jnl
Hierarchical Sparse Attention Framework for Computationally Efficient Classification of Biological Cells.
CoRR
Elad Yoshai, Dana Yagoda-Aharoni, Eden Dotan, Natan T. Shaked
2024 J jnl
Enhancing frozen histological section images using permanent-section-guided deep learning with nuclei attention.
CoRR
Elad Yoshai, Gil Goldinger, Miki Haifler, Natan T. Shaked
2024 J jnl
Label-Free Imaging Flow Cytometry for Cell Classification Based on Multiple Interferometric Projections Using Deep Learning.
Adv. Intell. Syst.
Anat Cohen, Matan Dudaie, Itay Barnea, Francesca Borrelli, Jaromír Behal, Lisa Miccio, Pasquale Memmolo, Vittorio Bianco, Pietro Ferraro, Natan T. Shaked
2024 J jnl
Super-Resolution of Histopathological Frozen Sections via Deep Learning Preserving Tissue Structure.
Adv. Intell. Syst.
Elad Yoshai, Gil Goldinger, Miki Haifler, Natan T. Shaked
2023 J jnl
Location Prediction of Sperm Cells Using Long Short-Term Memory Networks.
Adv. Intell. Syst.
Lioz Noy, Itay Barnea, Matan Dudaie, Dotan Kamber, Mattan Levi, Natan T. Shaked
2023 J jnl
Super resolution of histopathological frozen sections via deep learning preserving tissue structure.
CoRR
Elad Yoshai, Gil Goldinger, Miki Haifler, Natan T. Shaked
2022 J jnl
Simultaneous Morphology, Motility, and Fragmentation Analysis of Live Individual Sperm Cells for Male Fertility Evaluation.
Adv. Intell. Syst.
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
2021 — conf
Deep learning analysis on raw image data: case study on holographic cell analysis.
Computer-Aided Diagnosis
Gal Gozes, Shani Ben Baruch, Noa Rotman-Nativ, Darina Roitshtain, Natan T. Shaked, Hayit Greenspan
2019 J jnl
TOP-GAN: Stain-free cancer cell classification using deep learning with a small training set.
Medical Image Anal.
Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked
2018 J jnl
TOP-GAN: Label-Free Cancer Cell Classification Using Deep Learning with a Small Training Set.
CoRR
Moran Rubin, Omer Stein, Nir A. Turko, Yoav Nygate, Darina Roitshtain, Lidor Karako, Itay Barnea, Raja Giryes, Natan T. Shaked
2012 J jnl
Parallel decomposition of combinatorial optimization problems using electro-optical vector by matrix multiplication architecture.
J. Supercomput.
Dan E. Tamir, Natan T. Shaked, Wilhelmus J. Geerts, Shlomi Dolev
2010 — conf
Compressive Sensing of Object-Signature.
OSC
Dan E. Tamir, Natan T. Shaked, Wilhelmus J. Geerts, Shlomi Dolev
2009 — conf
Combinatorial Optimization Using Electro-Optical Vector by Matrix Multiplication Architecture.
OSC
Dan E. Tamir, Natan T. Shaked, Wilhelmus J. Geerts, Shlomi Dolev
2008 — conf
Electro-Optical DSP of Tera Operations per Second and Beyond (Extended Abstract).
OSC
Dan E. Tamir, Natan T. Shaked, Peter J. Wilson, Shlomi Dolev