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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 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|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.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.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|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.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.Pageof 27