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 M, 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 M, Reynaud H, Baugh M, Kainz B Conference contribution DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection (2024) Marimont SN, Baugh M, Siomos V, Tzelepis C, Kainz B, Tarroni G Conference contribution Simultaneous whole-liver water T1 and T2 mapping with isotropic resolution during free-breathing (2024) Stelter J, Weiss K, Steinhelfer L, Spieker V, Huaroc Moquillaza E, Zhang W, Makowski MR, et al. Journal article Multitask Weakly Supervised Generative Network for MR-US Registration (2024) Azampour MF, Mach K, Fatemizadeh E, Demiray B, Westenfelder K, Steiger K, Eiber M, et al. Journal article LesionMix: A Lesion-Level Data Augmentation Method for Medical Image Segmentation (2024) Basaran BD, Zhang W, Qiao M, Kainz B, Matthews PM, Bai W Conference contribution