Matthew Baugh

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 17

Top Topics

Respiratory Motion

Object Segmentation

Diffusion Models

Top Venues

Publications

Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz
URCDM: Ultra-Resolution Image Synthesis in Histopathology. CoRR (2024)
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. AAAI (2024)
Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. CoRR (2024)
Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz
MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI. MICCAI (10) (2023)
Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks. MICCAI (1) (2023)
Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
Confidence-Aware and Self-Supervised Image Anomaly Localisation. CoRR (2023)
Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks. CoRR (2023)
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. CoRR (2023)
Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz
Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models. ICCV (2023)
Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
Confidence-Aware and Self-supervised Image Anomaly Localisation. UNSURE@MICCAI (2023)
Matthew Baugh, James Batten, Johanna P. Müller, Bernhard Kainz
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. CoRR (2023)
Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. CoRR (2023)
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI (2022)
Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI (2022)
Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
Adnexal Mass Segmentation with Ultrasound Data Synthesis. CoRR (2022)
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR (2022)
Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models. CoRR (2022)