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Eli Ratner
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2010 – 2019
- 2010
- [c8]Richard Lederman, Isaac Leichter, Eli Ratner, Menahem Abramov, Alexandra Manevitch, Jonathan Stoeckel:
Should CAD Be Used as a Second Reader? - Exploring Two Alternative Reading Modes for CAD in Screening Mammography. Digital Mammography / IWDM 2010: 161-167 - [c7]Inna Stainvas
, Jonathan Stoeckel, Eli Ratner, Menachem Abramov, Richard Lederman:
Towards Learning Spiculation Score of the Masses in Mammography Images. Digital Mammography / IWDM 2010: 272-279 - [c6]Isaac Leichter, Zahava Gallimidi, Asnat Heyman-Reiss, Nicolas Merlet, Eli Ratner, Menachem Abramov, Inna Stainvas
Is CAD Able to Assist in the Detection of Subtle Breast Findings - Lobular Cancers, and T1a/T1b Masses in Dense Breasts? Digital Mammography / IWDM 2010: 474-480
2000 – 2009
- 2008
- [c5]Balaji Krishnapuram, Jonathan Stoeckel, Vikas C. Raykar, R. Bharat Rao, Philippe Bamberger, Eli Ratner, Nicolas Merlet, Inna Stainvas
Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography. Digital Mammography / IWDM 2008: 350-357 - [c4]Philippe Bamberger, Isaac Leichter, Nicolas Merlet, Eli Ratner, Glenn Fung, Richard Lederman:
Optimizing the CAD Process for Detecting Mammographic Lesions by a New Generation Algorithm Using Linear Classifiers and a Gradient Based Approach. Digital Mammography / IWDM 2008: 358-365 - [c3]Isaac Leichter, Richard Lederman, Eli Ratner, Nicolas Merlet, Glenn Fung, Balaji Krishnapuram, Philippe Bamberger:
Does a Mammography CAD Algorithm with Varying Filtering Levels of Detection Marks, Used to Reduce the False Mark Rate, Adversely Affect the Detection of Small Masses?. Digital Mammography / IWDM 2008: 504-509 - 2007
- [c2]Anna K. Jerebko, Yuan Quan, Nicolas Merlet, Eli Ratner, Swatee Singh, Joseph Y. Lo
Feasibility study of breast tomosynthesis CAD system. Medical Imaging: Computer-Aided Diagnosis 2007: 651414 - 2006
- [c1]Glenn Fung, Balaji Krishnapuram, Nicolas Merlet, Eli Ratner, Philippe Bamberger, Jonathan Stoeckel, R. Bharat Rao:
Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications. Digital Mammography / IWDM 2006: 84-91
Coauthor Index
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