Prof. Dr. Bernhard Kainz

Professur für Image Data Exploration and Analysis

Realistic Data Enrichment for Robust Image Segmentation in Histopathology (2024) Cechnicka S, Ball J, Reynaud H, Arthurs C, Roufosse C, Kainz B Conference contribution, Original article Unsupervised Similarity Learning for Image Registration with Energy-Based Models (2024) Grzech D, Folgoc LL, Azampour MF, Vlontzos A, Glocker B, Navab N, Schnabel J, 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 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 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 M, Ghosh A, Day T, Gomez A, Leeson P, Kainz B Conference contribution, Original article Confidence-Aware and Self-supervised Image Anomaly Localisation (2023) Müller J, Baugh M, Tan J, Dombrowski M, Kainz B Conference contribution Video-Based Activity Recognition for Automated Motor Assessment of Parkinson's Disease (2023) Sarapata G, Dushin Y, Morinan G, Ong J, Budhdeo S, Kainz B, O'Keeffe J Journal article Simplifying Medical Ultrasound (2023) Kainz B, Noble JA, Schnabel J, Khanal B, Müller J, Day T Edited Volume ParaDime: A Framework for Parametric Dimensionality Reduction (2023) Hinterreiter A, Humer C, Kainz B, Streit M Journal article