Daniel Shats

According to our database, Daniel Shats authored at least 9 papers between 2019 and 2024.

Collaborative distances:

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

2024

A large dataset curation and benchmark for drug target interaction.

Alex Golts, Vadim Ratner, Yoel Shoshan, Moshe Raboh, Sagi Polaczek, Michal Ozery-Flato, Daniel Shats, Liam Hazan, Sivan Ravid, Efrat Hexter

CoRR, 2024

2023

The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT.

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

CoRR, 2023

Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images.

Hadar Hezi, Daniel Shats, Daniel Gurevich, Yosef E. Maruvka, Moti Freiman

CoRR, 2023

2022

Multitarget Multiple-Instance Learning for Hyperspectral Target Detection.

Susan Meerdink, James Bocinsky, Alina Zare, Nicholas Kroeger, Connor H. McCurley, Daniel Shats, Paul D. Gader

IEEE Trans. Geosci. Remote. Sens., 2022

Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings.

Daniel Shats, Hadar Hezi, Guy Shani, Yosef E. Maruvka, Moti Freiman

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans.

Alex Golts, Daniel Khapun, Daniel Shats, Yoel Shoshan, Flora Gilboa-Solomon

Proceedings of the Kidney and Kidney Tumor Segmentation - MICCAI 2021 Challenge, 2021

2020

WNTRAC: Artificial Intelligence Assisted Tracking of Non-pharmaceutical Interventions Implemented Worldwide for COVID-19.

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

CoRR, 2020

2019

Multi-Target Multiple Instance Learning for Hyperspectral Target Detection.

Susan Meerdink, James Bocinsky, Alina Zare, Nicholas Kroeger, Connor H. McCurley, Daniel Shats, Paul D. Gader

CoRR, 2019

Investigation of Initialization Strategies for the Multiple Instance Adaptive Cosine Estimator.

James Bocinsky, Connor H. McCurley, Daniel Shats, Alina Zare

CoRR, 2019