Matthew Moses George Baugh

Professur für Image Data Exploration and Analysis

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 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 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 Confidence-Aware and Self-supervised Image Anomaly Localisation (2023) Müller J, Baugh M, Tan J, Dombrowski M, Kainz B Conference contribution Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks (2023) Baugh M, Tan J, Müller JP, Dombrowski M, Batten J, Kainz B Conference contribution, Original article MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI (2023) Zhang W, Basaran B, Meng Q, Baugh M, Stelter J, Lung P, Patel U, et al. Conference contribution, Original article nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods (2022) Baugh M, Tan J, Vlontzos A, Müller J, Kainz B Conference contribution Adnexal Mass Segmentation with Ultrasound Data Synthesis (2022) Lebbos C, Barcroft J, Tan J, Müller J, Baugh M, Vlontzos A, Saso S, Kainz B Conference contribution