RUSSE, Maximilian Frederik, REBMANN, Philipp, TRAN, Phuong Hien, KELLNER, Elias, REISERT, Marco, BAMBERG, Fabian, KOTTER, Elmar und KIM, Suam, 2024. AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice. Freiburg: Universität.

Russe, M.F., Rebmann, P., Tran, P.H., Kellner, E., Reisert, M., Bamberg, F., Kotter, E., Kim, S., 2024. AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice. Universität, Freiburg. https://doi.org/10.1136/bmjopen-2023-076954

Russe, M. F., Rebmann, P., Tran, P. H., Kellner, E., Reisert, M., Bamberg, F., Kotter, E., & Kim, S. (ca. 2024). AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice [Cd]. Universität. https://doi.org/10.1136/bmjopen-2023-076954

Russe MF, Rebmann P, Tran PH, Kellner E, Reisert M, Bamberg F, Kotter E, Kim S (2024) AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice. Universität, Freiburg

Russe, Maximilian Frederik/ Rebmann, Philipp/ Tran, Phuong Hien/ Kellner, Elias/ Reisert, Marco/ Bamberg, Fabian/ Kotter, Elmar/ Kim, Suam, AI-based X-ray fracture analysis of the distal radius: accuracy between representative classification, detection and segmentation deep learning models for clinical practice, Freiburg 2024.