Medical deep learning - A systematic meta-review. - Jan Egger; Christina Gsaxner; Antonio Pepe 003; Kelsey L. Pomykala; Frederic Jonske; Manuel Kurz; Jianning Li 002; Jens Kleesiek (Comput. Methods Programs Biomed., 2022)

GAN-based generation of realistic 3D data: A systematic review and taxonomy. - André Ferreira; Jianning Li 002; Kelsey L. Pomykala; Jens Kleesiek; Victor Alves; Jan Egger (CoRR, 2022)

"A net for everyone": fully personalized and unsupervised neural networks trained with longitudinal data from a single patient. - Christian Strack; Kelsey L. Pomykala; Heinz-Peter Schlemmer; Jan Egger; Jens Kleesiek (BMC Medical Imaging, 2023)

GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy. - André Ferreira; Jianning Li 002; Kelsey L. Pomykala; Jens Kleesiek; Victor Alves; Jan Egger (Medical Image Anal., 2024)

Corrigendum to: GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy [Medical Image Analysis 93 (2024)]. - André Ferreira; Jianning Li 002; Kelsey L. Pomykala; Jens Kleesiek; Victor Alves; Jan Egger (Medical Image Anal., 2024)

k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. - Moritz Rempe; Florian Mentzel; Kelsey L. Pomykala; Johannes Haubold; Felix Nensa; Kevin Kröninger; Jan Egger; Jens Kleesiek (Comput. Methods Programs Biomed., 2024)

Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo. - Yuan Jin; Antonio Pepe 003; Jianning Li 002; Christina Gsaxner; Yuxuan Chen; Behrus Puladi; Fen-hua Zhao; Kelsey L. Pomykala; Jens Kleesiek; Alejandro F. Frangi; Jan Egger (ACM Comput. Surv., 2025)