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Yale University School of Medicine: New Haven, CT, US

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Tal Zeevi

Works (6)

Reliable Prostate Cancer Risk Mapping From MRI Using Targeted and Systematic Core Needle Biopsy Histopathology

IEEE Transactions on Biomedical Engineering
2024-03 | Journal article
DOI: 10.1109/TBME.2023.3326799
Contributors: Tal Zeevi; Michael S. Leapman; Preston C. Sprenkle; Rajesh Venkataraman; Lawrence H. Staib; John A. Onofrey
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Uncertainty-aware deep-learning model for prediction of supratentorial hematoma expansion from admission non-contrast head computed tomography scan

npj Digital Medicine
2024-02-06 | Journal article
DOI: 10.1038/s41746-024-01007-w
Contributors: Anh T. Tran; Tal Zeevi; Stefan P. Haider; Gaby Abou Karam; Elisa R. Berson; Hishan Tharmaseelan; Adnan I. Qureshi; Pina C. Sanelli; David J. Werring; Ajay Malhotra et al.
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Dataset on acute stroke risk stratification from CT angiographic radiomics

Data in Brief
2022-10 | Journal article
DOI: 10.1016/j.dib.2022.108542
Contributors: Emily W. Avery; Jonas Behland; Adrian Mak; Stefan P. Haider; Tal Zeevi; Pina C. Sanelli; Christopher G. Filippi; Ajay Malhotra; Charles C. Matouk; Christoph J. Griessenauer et al.
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Prediction of Adverse Pathology at Radical Prostatectomy in Grade Group 2 and 3 Prostate Biopsies Using Machine Learning

JCO Clinical Cancer Informatics
2022-09 | Journal article
DOI: 10.1200/CCI.22.00016
Contributors: Nathan Paulson; Tal Zeevi; Maria Papademetris; Michael S. Leapman; John A. Onofrey; Preston C. Sprenkle; Peter A. Humphrey; Lawrence H. Staib; Angelique W. Levi
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Machine Learning in Differentiating Gliomas from Primary CNS Lymphomas: A Systematic Review, Reporting Quality, and Risk of Bias Assessment

American Journal of Neuroradiology
2022-04 | Journal article
DOI: 10.3174/ajnr.A7473
Contributors: G.I. Cassinelli Petersen; J. Shatalov; T. Verma; W.R. Brim; H. Subramanian; A. Brackett; R.C. Bahar; S. Merkaj; T. Zeevi; L.H. Staib et al.
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Prediction of post-radiotherapy locoregional progression in HPV-associated oropharyngeal squamous cell carcinoma using machine-learning analysis of baseline PET/CT radiomics

Translational Oncology
2021-01 | Journal article
DOI: 10.1016/j.tranon.2020.100906
Contributors: Stefan P. Haider; Kariem Sharaf; Tal Zeevi; Philipp Baumeister; Christoph Reichel; Reza Forghani; Benjamin H. Kann; Alexandra Petukhova; Benjamin L. Judson; Manju L. Prasad et al.
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