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Shahar Z Kovalsky

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Pattern Analysis and Machine Intelligence|March 20, 2010
Decoupled linear estimation of affine geometric deformations and nonlinear intensity transformations of imagesShahar Z Kovalsky, Guy Cohen, Rami Hagege, et al.
Plos One|September 24, 2021
Detection and classification of neurons and glial cells in the MADM mouse brain using RetinaNetYuheng Cai, Xuying Zhang, Shahar Z Kovalsky, et al.
Cancer Cytopathology|February 4, 2020
Application of a machine learning algorithm to predict malignancy in thyroid cytopathologyDanielle D Elliott Range, David Dov, Shahar Z Kovalsky, et al.
Medical Image Analysis|October 13, 2020
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology imagesDavid Dov, Shahar Z Kovalsky, Serge Assaad, et al.
Archives of Pathology & Laboratory Medicine|October 20, 2021
Use of Machine Learning-Based Software for the Screening of Thyroid Cytopathology Whole Slide ImagesDavid Dov, Shahar Z Kovalsky, Qizhang Feng, et al.
The American Journal of Pathology|August 23, 2023
Deep-Learning-Based Screening and Ancillary Testing for Thyroid CytopathologyDavid Dov, Danielle Elliott Range, Jonathan Cohen, et al.
Thyroid : Official Journal of the American Thyroid Association|November 27, 2023
A Preliminary Study Comparing the Performance of Thyroid Molecular Tests to a Deep Learning Algorithm in Predicting Malignancy in Indeterminate Thyroid Fine Needle Aspiration BiopsiesSerge Assaad, David Dov, Christine Park, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|March 20, 2010
Decoupled linear estimation of affine geometric deformations and nonlinear intensity transformations of imagesShahar Z Kovalsky, Guy Cohen, Rami Hagege, et al.
Plos One|September 24, 2021
Detection and classification of neurons and glial cells in the MADM mouse brain using RetinaNetYuheng Cai, Xuying Zhang, Shahar Z Kovalsky, et al.
Cancer Cytopathology|February 4, 2020
Application of a machine learning algorithm to predict malignancy in thyroid cytopathologyDanielle D Elliott Range, David Dov, Shahar Z Kovalsky, et al.
Medical Image Analysis|October 13, 2020
Weakly supervised instance learning for thyroid malignancy prediction from whole slide cytopathology imagesDavid Dov, Shahar Z Kovalsky, Serge Assaad, et al.
Archives of Pathology & Laboratory Medicine|October 20, 2021
Use of Machine Learning-Based Software for the Screening of Thyroid Cytopathology Whole Slide ImagesDavid Dov, Shahar Z Kovalsky, Qizhang Feng, et al.
The American Journal of Pathology|August 23, 2023
Deep-Learning-Based Screening and Ancillary Testing for Thyroid CytopathologyDavid Dov, Danielle Elliott Range, Jonathan Cohen, et al.
Thyroid : Official Journal of the American Thyroid Association|November 27, 2023
A Preliminary Study Comparing the Performance of Thyroid Molecular Tests to a Deep Learning Algorithm in Predicting Malignancy in Indeterminate Thyroid Fine Needle Aspiration BiopsiesSerge Assaad, David Dov, Christine Park, et al.
Pageof 1