Interactive Quantitative Characterization of Micro-Calcifications on Digitized Film-Screen Mammograms. - Richard Lederman; Isaac Leichter; Philippe Bamberger; Boris Novak; Scott Fields; Shalom Buchbinder (Digital Mammography / IWDM, 1998)

Computerized Classification Can Reduce Unnecessary Biopsies in BI-RADS Category 4A Lesions. - Isaac Leichter; Richard Lederman; Shalom Buchbinder; Yossi Srour; Philippe Bamberger; Fanny Sperber (Digital Mammography / IWDM, 2006)

Optimizing the CAD Process for Detecting Mammographic Lesions by a New Generation Algorithm Using Linear Classifiers and a Gradient Based Approach. - Philippe Bamberger; Isaac Leichter; Nicolas Merlet; Eli Ratner; Glenn Fung; Richard Lederman (Digital Mammography / IWDM, 2008)

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?. - Isaac Leichter; Richard Lederman; Eli Ratner; Nicolas Merlet; Glenn Fung; Balaji Krishnapuram; Philippe Bamberger (Digital Mammography / IWDM, 2008)

Should CAD Be Used as a Second Reader? - Exploring Two Alternative Reading Modes for CAD in Screening Mammography. - Richard Lederman; Isaac Leichter; Eli Ratner; Menahem Abramov; Alexandra Manevitch; Jonathan Stoeckel (Digital Mammography / IWDM, 2010)

Is CAD Able to Assist in the Detection of Subtle Breast Findings - Lobular Cancers, and T1a/T1b Masses in Dense Breasts? - Isaac Leichter; Zahava Gallimidi; Asnat Heyman-Reiss; Nicolas Merlet; Eli Ratner; Menachem Abramov; Inna Stainvas; Richard Lederman (Digital Mammography / IWDM, 2010)

Towards Learning Spiculation Score of the Masses in Mammography Images. - Inna Stainvas; Jonathan Stoeckel; Eli Ratner; Menachem Abramov; Richard Lederman (Digital Mammography / IWDM, 2010)

Detecting Low-Conspicuity Mammographic Findings - The Real Added Value of CAD. - Isaac Leichter; Richard Lederman; Alexandra Manevitch (Digital Mammography / IWDM, 2012)

Graph-Theoretic Automatic Lesion Tracking and Detection of Patterns of Lesion Changes in Longitudinal CT Studies. - Beniamin Di Veroli; Richard Lederman; Jacob Sosna; Leo Joskowicz (MICCAI (5), 2023)

Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-Net. - Adi Szeskin; Shalom Rochman; Snir Weiss; Richard Lederman; Jacob Sosna; Leo Joskowicz (Medical Image Anal., 2023)

A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imaging. - Beniamin Di Veroli; Richard Lederman; Yigal Shoshan; Jacob Sosna; Leo Joskowicz (Medical Image Anal., 2024)

Graph-based automatic detection and classification of lesion changes in pairs of CT studies for oncology follow-up. - Shalom Rochman; Adi Szeskin; Richard Lederman; Jacob Sosna; Leo Joskowicz (Int. J. Comput. Assist. Radiol. Surg., 2024)

MC3DU-Net: a multisequence cascaded pipeline for the detection and segmentation of pancreatic cysts in MRI. - Nir Mazor; Gili Dar; Richard Lederman; Naama Lev-Cohain; Jacob Sosna; Leo Joskowicz (Int. J. Comput. Assist. Radiol. Surg., 2024)