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2020 – today
- 2024
[j3]Jakob Sommer, Fiona Dierksen, Tal Zeevi, Anh Tuan Tran, Emily W. Avery, Adrian Mak, Ajay Malhotra, Charles C. Matouk, Guido J. Falcone, Victor Torres-Lopez, Sanjey Aneja, James Duncan, Lauren H. Sansing, Kevin N. Sheth, Seyedmehdi Payabvash:
Deep learning for prediction of post-thrombectomy outcomes based on admission CT angiography in large vessel occlusion stroke. Frontiers Artif. Intell. 7 (2024)- [j2]Tran Anh Tuan
, Tal Ze'evi, Stefan P. Haider, Gaby Abou Karam, Elisa R. Berson, Hishan Tharmaseelan, Adnan I. Qureshi, Pina C. Sanelli, David J. Werring, Ajay Malhotra, Nils H. Petersen, Adam DeHavenon, Guido J. Falcone, Kevin N. Sheth, Seyedmehdi Payabvash:
Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan. npj Digit. Medicine 7(1) (2024) - [j1]Tal Ze'evi, Michael S. Leapman, Preston C. Sprenkle, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey:
Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology. IEEE Trans. Biomed. Eng. 71(3): 1084-1091 (2024) - [c4]Tal Ze'evi, Rajesh Venkataraman, Lawrence H. Staib, John A. Onofrey:
Monte-Carlo Frequency Dropout for Predictive Uncertainty Estimation in Deep Learning. ISBI 2024: 1-5 - [i1]Tal Zeevi, Ravid Shwartz-Ziv, Yann LeCun, Lawrence H. Staib, John A. Onofrey:
Rate-In: Information-Driven Adaptive Dropout Rates for Improved Inference-Time Uncertainty Estimation. CoRR abs/2412.07169 (2024)
2010 – 2019
- 2018
- [c3]Tal Ze'evi, Roie Zivan, Omer Lev:
Socially Motivated Partial Cooperation in Multi-agent Local Search. AAMAS 2018: 2150-2152 - [c2]Tal Ze'evi, Roie Zivan, Omer Lev:
Socially Motivated Partial Cooperation in Multi-agent Local Search. IJCAI 2018: 583-589 - 2015
- [c1]Hillel Bar-Gera, Edna Schechtman, Tal Ze'evi, Oren Musicant:
Yellow Signal Driver Crossing Behavior. ITSC 2015: 2739-2744
Coauthor Index
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