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Medical Image Analysis|November 5, 2022
Liver lesion changes analysis in longitudinal CECT scans by simultaneous deep learning voxel classification with SimU-NetAdi Szeskin, Shalom Rochman, Snir Weiss, et al.International Journal of Computer Assisted Radiology and Surgery|August 4, 2023
Graph-based automatic detection and classification of lesion changes in pairs of CT studies for oncology follow-upShalom Rochman, Adi Szeskin, Richard Lederman, et al.Journal of Thoracic Imaging|January 14, 2025
Metastatic Lung Lesion Changes in Follow-up Chest CT: The Advantage of Deep Learning Simultaneous Analysis of Prior and Current Scans With SimU-NetNeta Kenneth Portal, Shalom Rochman, Adi Szeskin, et al.European Radiology|July 22, 2023
Follow-up of liver metastases: a comparison of deep learning and RECIST 1.1Leo Joskowicz, Adi Szeskin, Shalom Rochman, et al.International Journal of Computer Assisted Radiology and Surgery|June 25, 2025
Streamlining the annotation process by radiologists of volumetric medical images with few-shot learningAlina Ryabtsev, Richard Lederman, Jacob Sosna, et al.International Journal of Computer Assisted Radiology and Surgery|September 13, 2025
Annotation-efficient deep learning detection and measurement of mediastinal lymph nodes in CTAlon Olesinski, Richard Lederman, Yusef Azraq, et al.Journal of Thoracic Imaging|October 17, 2025
Variability in Mediastinal Lymph Node Measurements in Chest Contrast-enhanced CT: Time to Change the Paradigm?Alon Olesinksi, Richard Lederman, Yusef Azraq, et al.European Journal of Radiology|May 29, 2024
Three scans are better than two for follow-up: An automatic method for finding missed and misidentified lesions in cross-sectional follow-up of oncology patientsLeo Joskowicz, Beniamin Di Veroli, Richard Lederman, et al.Medical Image Analysis|July 19, 2024
A graph-theoretic approach for the analysis of lesion changes and lesions detection review in longitudinal oncological imagingBeniamin Di Veroli, Richard Lederman, Yigal Shoshan, et al.International Journal of Computer Assisted Radiology and Surgery|October 5, 2023
MC3DU-Net: a multisequence cascaded pipeline for the detection and segmentation of pancreatic cysts in MRINir Mazor, Gili Dar, Richard Lederman, et al.Pageof 26