Matthew Baugh

29 papers A* 2C 1Journal 15Unranked 11
YearRankTypeTitle / Venue / Authors
2025 C conf
Disentangling Neural Disjunctive Normal Form Models.
NeSy
Kexin Gu Baugh, Vincent Perreault, Matthew Baugh, Luke Dickens, Katsumi Inoue, Alessandra Russo
2025 J jnl
Disentangling Neural Disjunctive Normal Form Models.
CoRR
Kexin Gu Baugh, Vincent Perreault, Matthew Baugh, Luke Dickens, Katsumi Inoue, Alessandra Russo
2025 — conf
Graph Conditioned Diffusion for Controllable Histopathology Image Generation.
GRAIL/RIME@MICCAI
Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025 J jnl
Graph Conditioned Diffusion for Controllable Histopathology Image Generation.
CoRR
Sarah Cechnicka, Matthew Baugh, Weitong Zhang, Mischa Dombrowski, Zhe Li, Johannes C. Paetzold, Candice Roufosse, Bernhard Kainz
2025 J jnl
UWB Radar-based Heart Rate Monitoring: A Transfer Learning Approach.
CoRR
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 J. A. Chico, Robert F. Storey, Emily Maz, Umesh Telang, Shravya Shetty, Mayank Daswani
2024 — conf
DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection.
ISBI
Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024 — conf
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection.
MICCAI (11)
Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024 J jnl
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection.
CoRR
Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2024 — conf
Image-Conditioned Diffusion Models for Medical Anomaly Detection.
UNSURE@MICCAI
Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, Sarah Cechnicka, Johanna P. Müller, Giacomo Tarroni, Bernhard Kainz
2024 J jnl
JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation.
CoRR
Hadrien Reynaud, Matthew Baugh, Mischa Dombrowski, Sarah Cechnicka, Qingjie Meng, Bernhard Kainz
2024 A* conf
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability.
AAAI
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
2024 — conf
URCDM: Ultra-Resolution Image Synthesis in Histopathology.
MICCAI (4)
Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz
2024 J jnl
URCDM: Ultra-Resolution Image Synthesis in Histopathology.
CoRR
Sarah Cechnicka, James Ball, Matthew Baugh, Hadrien Reynaud, Naomi Simmonds, Andrew P. T. Smith, Catherine Horsfield, Candice Roufosse, Bernhard Kainz
2024 — conf
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis.
MICCAI (9)
Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz
2024 J jnl
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis.
CoRR
Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz
2023 J jnl
Confidence-Aware and Self-Supervised Image Anomaly Localisation.
CoRR
Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
2023 — conf
Confidence-Aware and Self-supervised Image Anomaly Localisation.
UNSURE@MICCAI
Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz
2023 J jnl
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection.
CoRR
Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni
2023 A* conf
Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models.
ICCV
Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz
2023 — conf
Many Tasks Make Light Work: Learning to Localise Medical Anomalies from Multiple Synthetic Tasks.
MICCAI (1)
Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
2023 J jnl
Many tasks make light work: Learning to localise medical anomalies from multiple synthetic tasks.
CoRR
Matthew Baugh, Jeremy Tan, Johanna P. Müller, Mischa Dombrowski, James Batten, Bernhard Kainz
2023 — conf
MoCoSR: Respiratory Motion Correction and Super-Resolution for 3D Abdominal MRI.
MICCAI (10)
Weitong Zhang, Berke Doga Basaran, Qingjie Meng, Matthew Baugh, Jonathan K. Stelter, Phillip Lung, Uday Patel, Wenjia Bai, Dimitrios C. Karampinos, Bernhard Kainz
2023 J jnl
Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models.
CoRR
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
2023 J jnl
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models.
CoRR
Matthew Baugh, James Batten, Johanna P. Müller, Bernhard Kainz
2022 — conf
Adnexal Mass Segmentation with Ultrasound Data Synthesis.
ASMUS@MICCAI
Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
2022 J jnl
Adnexal Mass Segmentation with Ultrasound Data Synthesis.
CoRR
Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz
2022 J jnl
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models.
CoRR
Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz
2022 — conf
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods.
UNSURE@MICCAI
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz
2022 J jnl
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods.
CoRR
Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz