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 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 DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection (2024) Marimont SN, Baugh M, Siomos V, Tzelepis C, Kainz B, Tarroni G 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