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Cytometry. Part a : the Journal of the International Society for Analytical Cytology|August 24, 2017
Automated analysis of individual sperm cells using stain-free interferometric phase microscopy and machine learningSimcha K Mirsky, Itay Barnea, Mattan Levi, et al.
IEEE Transactions on Medical Imaging|August 19, 2010
A supervised framework for the registration and segmentation of white matter fiber tractsArnaldo Mayer, Gali Zimmerman-Moreno, Ran Shadmi, et al.
IEEE Journal of Biomedical and Health Informatics|March 26, 2021
COVID-19 in CXR: From Detection and Severity Scoring to Patient Disease MonitoringMaayan Frid-Adar, Rula Amer, Ophir Gozes, et al.
IEEE Transactions on Bio-Medical Engineering|September 9, 2016
Task-Driven Dictionary Learning Based on Mutual Information for Medical Image ClassificationIdit Diamant, Eyal Klang, Michal Amitai, et al.
Pulmonary Medicine|June 23, 2021
A Machine Learning Approach to the Interpretation of Cardiopulmonary Exercise Tests: Development and ValidationOr Inbar, Omri Inbar, Ronen Reuveny, et al.
Medical Physics|September 11, 2012
Quantifying the margin sharpness of lesions on radiological images for content-based image retrievalJiajing Xu, Sandy Napel, Hayit Greenspan, et al.
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|February 17, 2009
Evaluation of uterine cervix segmentations using ground truth from multiple expertsShiri Gordon, Shelly Lotenberg, Rodney Long, et al.
Radiology|January 30, 2019
Convolutional Neural Networks for Radiologic Images: A Radiologist's GuideShelly Soffer, Avi Ben-Cohen, Orit Shimon, et al.
IEEE Transactions on Medical Imaging|February 27, 2009
Automatic detection of anatomical landmarks in uterine cervix imagesHayit Greenspan, Shiri Gordon, Gali Zimmerman, et al.
Cells|December 24, 2021
Cancer-Cell Deep-Learning Classification by Integrating Quantitative-Phase Spatial and Temporal FluctuationsShani Ben Baruch, Noa Rotman-Nativ, Alon Baram, et al.
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