Exploiting OpenStreetMap-Data for Outdoor Robotic Applications. - Oleksii Bashkanov; Martin Seidel; Maksym Yakymets; Nursultan Daupayev; Yevhen Sharonov; Tom Assmann; Stephan Schmidt; Sebastian Zug (ROSE, 2019)

Learning Multi-Modal Volumetric Prostate Registration With Weak Inter-Subject Spatial Correspondence. - Oleksii Bashkanov; Anneke Meyer; Daniel Schindele; Martin Schostak; Klaus-Dietz Tönnies; Christian Hansen 001; Marko Rak (ISBI, 2021)

Predicting 4D liver MRI for MR-guided interventions. - Gino Gulamhussene; Anneke Meyer; Marko Rak; Oleksii Bashkanov; Jazan Omari; Maciej Pech; Christian Hansen 001 (Comput. Medical Imaging Graph., 2022)

Using Training Samples as Transitive Information Bridges in Predicted 4D MRI. - Gino Gulamhussene; Oleksii Bashkanov; Jazan Omari; Maciej Pech; Christian Hansen 001; Marko Rak (MILLanD@MICCAI, 2023)

Automatic Patient-level Diagnosis of Prostate Disease with Fused 3D MRI and Tabular Clinical Data. - Oleksii Bashkanov; Marko Rak; Lucas Engelage; Christianus Hansen (MIDL, 2023)

Automatic detection of prostate cancer grades and chronic prostatitis in biparametric MRI. - Oleksii Bashkanov; Marko Rak; Anneke Meyer; Lucas Engelage; Agron Lumiani; Rolf Muschter; Christian Hansen 001 (Comput. Methods Programs Biomed., 2023)

Augmenting Prostate MRI Dataset with Synthetic Volumetric Images from Zone-Conditioned Diffusion Generative Model. - Oleksii Bashkanov; Marko Rak; Lucas Engelage; Christian Hansen 001 (DGM4MICCAI@MICCAI, 2024)