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Daniel Shats
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2020 – today
- 2024
- [i7]Alex Golts, Vadim Ratner, Yoel Shoshan, Moshe Raboh, Sagi Polaczek, Michal Ozery-Flato, Daniel Shats, Liam Hazan, Sivan Ravid, Efrat Hexter:
A large dataset curation and benchmark for drug target interaction. CoRR abs/2401.17174 (2024) - 2023
- [i6]Hadar Hezi, Daniel Shats, Daniel Gurevich, Yosef E. Maruvka, Moti Freiman:
Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images. CoRR abs/2303.14703 (2023) - [i5]Nicholas Heller, Fabian Isensee, Dasha Trofimova, Resha Tejpaul, Zhongchen Zhao, Huai Chen, Lisheng Wang, Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon, Yasmeen George, Xi Yang, Jianpeng Zhang, Jing Zhang, Yong Xia, Mengran Wu, Zhiyang Liu, Edward Walczak, Seán McSweeney, Ranveer Vasdev, Chris Hornung, Rafat Solaiman, Jamee Schoephoerster, Bailey Abernathy, David Wu, Safa Abdulkadir, Ben Byun, Justice Spriggs, Griffin Struyk, Alexandra Austin, Ben Simpson, Michael Hagström, Sierra Virnig, John French, Nitin Venkatesh, Sarah Chan, Keenan Moore, Anna Jacobsen, Susan Austin, Mark Austin, Subodh Regmi, Nikolaos Papanikolopoulos, Christopher Weight:
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT. CoRR abs/2307.01984 (2023) - 2022
- [j1]Susan Meerdink
, James Bocinsky, Alina Zare
, Nicholas Kroeger
, Connor H. McCurley, Daniel Shats, Paul D. Gader:
Multitarget Multiple-Instance Learning for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [c2]Daniel Shats
, Hadar Hezi, Guy Shani, Yosef E. Maruvka
, Moti Freiman
:
Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings. ECCV Workshops (3) 2022: 454-465 - [i4]Daniel Shats, Hadar Hezi, Guy Shani, Yosef E. Maruvka, Moti Freiman:
Patient-level Microsatellite Stability Assessment from Whole Slide Images By Combining Momentum Contrast Learning and Group Patch Embeddings. CoRR abs/2208.10429 (2022) - 2021
- [c1]Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon:
An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans. KiTS@MICCAI 2021: 103-115 - 2020
- [i3]Parthasarathy Suryanarayanan, Ching-Huei Tsou, Ananya Poddar, Diwakar Mahajan, Bharath Dandala, Piyush Madan, Anshul Agrawal, Charles Wachira, Samuel Mogaka Osebe, Osnat Bar-Shira, Clifton Kipchirchir, Sharon Okwako, William Ogallo, Fred Otieno, Timothy Nyota, Fiona Matu, Vesna Resende Barros, Daniel Shats, Oren Kagan, Sekou L. Remy, Oliver Bent, Shilpa Mahatma, Aisha Walcott-Bryant, Divya Pathak, Michal Rosen-Zvi:
WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19. CoRR abs/2009.07057 (2020)
2010 – 2019
- 2019
- [i2]James Bocinsky, Connor H. McCurley, Daniel Shats, Alina Zare:
Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator. CoRR abs/1904.13197 (2019) - [i1]Susan Meerdink, James Bocinsky, Alina Zare, Nicholas Kroeger, Connor H. McCurley, Daniel Shats, Paul D. Gader:
Multi-Target Multiple Instance Learning for Hyperspectral Target Detection. CoRR abs/1909.03316 (2019)
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last updated on 2024-07-31 20:47 CEST by the dblp team
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