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Daniel Shats
Daniel Shats
IBM Research
Verified email at cs.technion.ac.il - Homepage
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Cited by
Year
AI-assisted tracking of worldwide non-pharmaceutical interventions for COVID-19
P Suryanarayanan, CH Tsou, A Poddar, D Mahajan, B Dandala, P Madan, ...
Scientific data 8 (1), 1-14, 2021
332021
Multitarget multiple-instance learning for hyperspectral target detection
S Meerdink, J Bocinsky, A Zare, N Kroeger, C McCurley, D Shats, P Gader
IEEE transactions on geoscience and remote sensing 60, 1-14, 2021
202021
An ensemble of 3D U-Net based models for segmentation of kidney and masses in CT scans
A Golts, D Khapun, D Shats, Y Shoshan, F Gilboa-Solomon
International Challenge on Kidney and Kidney Tumor Segmentation, 103-115, 2021
132021
The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT
N Heller, F Isensee, D Trofimova, R Tejpaul, Z Zhao, H Chen, L Wang, ...
arXiv preprint arXiv:2307.01984, 2023
122023
Wntrac: Artificial intelligence assisted tracking of non-pharmaceutical interventions implemented worldwide for covid-19
P Suryanarayanan, CH Tsou, A Poddar, D Mahajan, B Dandala, P Madan, ...
arXiv preprint arXiv:2009.07057, 2020
52020
Investigation of initialization strategies for the multiple instance adaptive cosine estimator
J Bocinsky, C McCurley, D Shats, A Zare
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXIV …, 2019
22019
Patient-Level Microsatellite Stability Assessment from Whole Slide Images by Combining Momentum Contrast Learning and Group Patch Embeddings
D Shats, H Hezi, G Shani, YE Maruvka, M Freiman
European Conference on Computer Vision, 454-465, 2022
12022
A large dataset curation and benchmark for drug target interaction
A Golts, V Ratner, Y Shoshan, M Raboh, S Polaczek, M Ozery-Flato, ...
arXiv preprint arXiv:2401.17174, 2024
2024
Biologically-primed deep neural network improves colorectal Cancer Molecular subtypes prediction from H&E stained images
H Hezi, D Shats, D Gurevich, YE Maruvka, M Freiman
arXiv preprint arXiv:2303.14703, 2023
2023
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