nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. - Matthew Baugh; Jeremy Tan; Athanasios Vlontzos; Johanna P. Müller; Bernhard Kainz (UNSURE@MICCAI, 2022)

Adnexal Mass Segmentation with Ultrasound Data Synthesis. - Clara Lebbos; Jen Barcroft; Jeremy Tan; Johanna P. Müller; Matthew Baugh; Athanasios Vlontzos; Srdjan Saso; Bernhard Kainz (ASMUS@MICCAI, 2022)

Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models. - Mischa Dombrowski; Hadrien Reynaud; Matthew Baugh; Bernhard Kainz (CoRR, 2022)

Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models. - Mischa Dombrowski; Hadrien Reynaud; Matthew Baugh; Bernhard Kainz (ICCV, 2023)

Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. - Matthew Baugh; Jeremy Tan; Johanna P. Müller; Mischa Dombrowski; James Batten; Bernhard Kainz (MICCAI (1), 2023)

Confidence-Aware and Self-supervised Image Anomaly Localisation. - Johanna P. Müller; Matthew Baugh; Jeremy Tan; Mischa Dombrowski; Bernhard Kainz (UNSURE@MICCAI, 2023)

MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. - Weitong Zhang; Berke Doga Basaran; Qingjie Meng; Matthew Baugh; Jonathan K. Stelter; Phillip Lung; Uday Patel; Wenjia Bai; Dimitrios C. Karampinos; Bernhard Kainz (MICCAI (10), 2023)

Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. - Mischa Dombrowski; Hadrien Reynaud; Johanna P. Müller; Matthew Baugh; Bernhard Kainz (CoRR, 2023)

Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. - Matthew Baugh; James Batten; Johanna P. Müller; Bernhard Kainz (CoRR, 2023)

Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. - Mischa Dombrowski; Hadrien Reynaud; Johanna P. Müller; Matthew Baugh; Bernhard Kainz (AAAI, 2024)

DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. - Sergio Naval Marimont; Matthew Baugh; Vasilis Siomos; Christos Tzelepis; Bernhard Kainz; Giacomo Tarroni (ISBI, 2024)

Image-Conditioned Diffusion Models for Medical Anomaly Detection. - Matthew Baugh; Hadrien Reynaud; Sergio Naval Marimont; Sarah Cechnicka; Johanna P. Müller; Giacomo Tarroni; Bernhard Kainz (UNSURE@MICCAI, 2024)

URCDM: Ultra-Resolution Image Synthesis in Histopathology. - Sarah Cechnicka; James Ball; Matthew Baugh; Hadrien Reynaud; Naomi Simmonds; Andrew P. T. Smith; Catherine Horsfield; Candice Roufosse; Bernhard Kainz (MICCAI (4), 2024)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. - Liu Li; Hanchun Wang; Matthew Baugh; Qiang Ma 004; Weitong Zhang; Cheng Ouyang; Daniel Rueckert; Bernhard Kainz (MICCAI (9), 2024)

Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. - Sergio Naval Marimont; Vasilis Siomos; Matthew Baugh; Christos Tzelepis; Bernhard Kainz; Giacomo Tarroni (MICCAI (11), 2024)

JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation. - Hadrien Reynaud; Matthew Baugh; Mischa Dombrowski; Sarah Cechnicka; Qingjie Meng; Bernhard Kainz (CoRR, 2024)

Disentangling Neural Disjunctive Normal Form Models. - Kexin Gu Baugh; Vincent Perreault; Matthew Baugh; Luke Dickens; Katsumi Inoue; Alessandra Russo (CoRR, 2025)

UWB Radar-based Heart Rate Monitoring: A Transfer Learning Approach. - Elzbieta Gruzewska; Pooja Rao; Sebastien Baur; Matthew Baugh; Mathias M. J. Bellaiche; Sharanya Srinivas; Octavio Ponce; Matthew Thompson; Pramod Rudrapatna; Michael A. Sanchez; Lawrence Z. Cai; Timothy JA Chico; et al. (CoRR, 2025)