Deep learning facilitates fully automated brain image registration of optoacoustic tomography and magnetic resonance imaging. - Yexing Hu; Berkan Lafci; Artur Luzgin; Hao Wang; Jan Klohs; Xosé-Luís Dean-Ben; Ruiqing Ni; Daniel Razansky; Wuwei Ren (CoRR, 2021)

Hemodynamic response to sensory stimulation in mice: Comparison between functional ultrasound and optoacoustic imaging. - Justine Robin; Richard Rau; Berkan Lafci; Aileen Schroeter; Michael Reiss; Xosé-Luís Dean-Ben; Orcun Goksel; Daniel Razansky (NeuroImage, 2021)

Signal Domain Learning Approach for Optoacoustic Image Reconstruction from Limited View Data. - Anna Klimovskaia Susmelj; Berkan Lafci; Firat Ozdemir; Neda Davoudi; Xosé-Luís Dean-Ben; Fernando Pérez-Cruz; Daniel Razansky (MIDL, 2022)

OADAT: Experimental and Synthetic Clinical Optoacoustic Data for Standardized Image Processing. - Firat Ozdemir; Berkan Lafci; Xosé-Luís Dean-Ben; Daniel Razansky; Fernando Pérez-Cruz (Trans. Mach. Learn. Res., 2023)

Development of Hybrid Optoacoustic and Ultrasound Imaging Systems. - Berkan Lafci (2023)

A foundation model utilizing chest CT volumes and radiology reports for supervised-level zero-shot detection of abnormalities. - Ibrahim Ethem Hamamci; Sezgin Er; Furkan Almas; Ayse Gulnihan Simsek; Sevval Nil Esirgun; Irem Dogan; Muhammed Furkan Dasdelen; Bastian Wittmann; Enis Simsar; Mehmet Simsar; Emine Bensu Erdemir; Abdullah Alanbay; et al. (CoRR, 2024)

Signal domain adaptation network for limited-view optoacoustic tomography. - Anna Klimovskaia Susmelj; Berkan Lafci; Firat Ozdemir; Neda Davoudi; Xosé-Luís Dean-Ben; Fernando Pérez-Cruz; Daniel Razansky (Medical Image Anal., 2024)