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2020 – today
- 2024
[c12]Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz
:
Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability. AAAI 2024: 21037-21045- [c11]Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired Synthetic Restoration for Unsupervised Anomaly Detection. ISBI 2024: 1-5 - [c10]Matthew Baugh, Hadrien Reynaud, Sergio Naval Marimont, Sarah Cechnicka, Johanna P. Müller, Giacomo Tarroni, Bernhard Kainz:
Image-Conditioned Diffusion Models for Medical Anomaly Detection. UNSURE@MICCAI 2024: 117-127 - [c9]Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. MICCAI (11) 2024: 243-253 - [c8]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. MICCAI (4) 2024: 535-545 - [c7]Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz:
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. MICCAI (9) 2024: 670-680 - [i12]Sergio Naval Marimont, Vasilis Siomos, Matthew Baugh, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection. CoRR abs/2407.06635 (2024) - [i11]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 abs/2407.13277 (2024) - [i10]Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz:
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. CoRR abs/2409.09796 (2024) - [i9]Hadrien Reynaud, Matthew Baugh, Mischa Dombrowski, Sarah Cechnicka, Qingjie Meng, Bernhard Kainz:
JVID: Joint Video-Image Diffusion for Visual-Quality and Temporal-Consistency in Video Generation. CoRR abs/2409.14149 (2024) - 2023
- [c6]Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz:
Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models. ICCV 2023: 988-998 - [c5]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: 121-131 - [c4]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: 162-172 - [c3]Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz:
Confidence-Aware and Self-supervised Image Anomaly Localisation. UNSURE@MICCAI 2023: 177-187 - [i8]Johanna P. Müller, Matthew Baugh, Jeremy Tan, Mischa Dombrowski, Bernhard Kainz:
Confidence-Aware and Self-Supervised Image Anomaly Localisation. CoRR abs/2303.13227 (2023) - [i7]Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller, Matthew Baugh, Bernhard Kainz:
Pay Attention: Accuracy Versus Interpretability Trade-off in Fine-tuned Diffusion Models. CoRR abs/2303.17908 (2023) - [i6]Matthew Baugh, James Batten, Johanna P. Müller, Bernhard Kainz:
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models. CoRR abs/2306.09269 (2023) - [i5]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 abs/2307.00899 (2023) - [i4]Sergio Naval Marimont, Matthew Baugh, Vasilis Siomos, Christos Tzelepis, Bernhard Kainz, Giacomo Tarroni:
DISYRE: Diffusion-Inspired SYnthetic REstoration for Unsupervised Anomaly Detection. CoRR abs/2311.15453 (2023) - 2022
- [c2]Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz:
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. UNSURE@MICCAI 2022: 103-112 - [c1]Clara Lebbos, Jen Barcroft, Jeremy Tan, Johanna P. Müller, Matthew Baugh, Athanasios Vlontzos, Srdjan Saso, Bernhard Kainz:
Adnexal Mass Segmentation with Ultrasound Data Synthesis. ASMUS@MICCAI 2022: 106-116 - [i3]Matthew Baugh, Jeremy Tan, Athanasios Vlontzos, Johanna P. Müller, Bernhard Kainz:
nnOOD: A Framework for Benchmarking Self-supervised Anomaly Localisation Methods. CoRR abs/2209.01124 (2022) - [i2]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 abs/2209.12305 (2022) - [i1]Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz:
Zero-Shot Object Segmentation through Concept Distillation from Generative Image Foundation Models. CoRR abs/2212.14306 (2022)
Coauthor Index
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