Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

Artificial intelligence to assist in the screening fetal anomaly ultrasound scan (PROMETHEUS): a randomised controlled trial (2024) Day TG, Matthew J, Budd S, Venturini L, Wright R, Farruggia A, Jamshidi B, et al. Conference contribution Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability (2024) Dombrowski MN, Reynaud H, Müller J, Baugh M, Kainz B Conference contribution, Conference Contribution Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects (2024) Stegmaier M, Schröder C, Müller J, Day T, Cuomo M, Dewald O, Dittrich S, Kainz B Conference contribution, Conference Contribution Metrics reloaded: recommendations for image analysis validation (2024) Maier-Hein L, Reinke A, Godau P, Tizabi MD, Buettner F, Christodoulou E, Glocker B, et al. Journal article Understanding metric-related pitfalls in image analysis validation (2024) Reinke A, Tizabi MD, Baumgartner M, Eisenmann M, Heckmann-Nötzel D, Kavur AE, Rädsch T, et al. Journal article Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models (2024) Dombrowski MN, Reynaud H, Baugh M, Kainz B Conference contribution Image distillation for safe data sharing in histopathology (2024) Li Z, Kainz B Conference contribution, Original article Echonet-synthetic: Privacy-preserving video generation for safe medical data sharing (2024) Reynaud H, Meng Q, Dombrowski MN, Ghosh A, Day T, Gomez A, Leeson P, Kainz B Conference contribution, Original article Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis (2024) Li L, Wang H, Baugh M, Ma Q, Zhang W, Ouyang C, Rueckert D, Kainz B Conference contribution URCDM: Ultra-Resolution Image Synthesis in Histopathology (2024) Cechnicka S, Ball J, Baugh M, Reynaud H, Simmonds N, Smith AP, Horsfield C, et al. Conference contribution