AdapterNet - learning input transformation for domain adaptation. - Alon Hazan; Yoel Shoshan; Daniel Khapun; Roy Aladjem; Vadim Ratner (CoRR, 2018)

An Ensemble of 3D U-Net Based Models for Segmentation of Kidney and Masses in CT Scans. - Alex Golts; Daniel Khapun; Daniel Shats; Yoel Shoshan; Flora Gilboa-Solomon (KiTS@MICCAI, 2021)

Beyond Non-maximum Suppression - Detecting Lesions in Digital Breast Tomosynthesis Volumes. - Yoel Shoshan; Aviad Zlotnick; Vadim Ratner; Daniel Khapun; Ella Barkan; Flora Gilboa-Solomon (MICCAI (5), 2021)

Lessons from the first DBTex Challenge. - Jungkyu Park 001; Yoel Shoshan; Robert Martí; Pablo Gómez del Campo; Vadim Ratner; Daniel Khapun; Aviad Zlotnick; Ella Barkan; Flora Gilboa-Solomon; Jakub Chledowski; Jan Witowski; Alexandra Millet; et al. (Nat. Mach. Intell., 2021)

The KiTS21 Challenge: Automatic segmentation of kidneys, renal tumors, and renal cysts in corticomedullary-phase CT. - Nicholas Heller; Fabian Isensee; Dasha Trofimova; Resha Tejpaul; Zhongchen Zhao; Huai Chen; Lisheng Wang; Alex Golts; Daniel Khapun; Daniel Shats; Yoel Shoshan; Flora Gilboa-Solomon; et al. (CoRR, 2023)