Kit Mills Bransby

I recently passed my PhD viva at Queen Mary University of London (formal award pending). My thesis, ‘Bridging Graph and Dense Representations for Coronary Vessel Segmentation and Registration’ was supervised by Dr. Qianni Zhang, Prof. Greg Slabaugh and Prof. Christos Bourantas

I am currently a postdoctoral fellow in the Visual Computing group at DTU Compute Copenhagen, under the supervision of Prof. Rasmus Paulsen.

My current research focus is the segmentation, registration and analysis of coronary vessels and plaque using graph and geometric representations. More broadly I am interested in:

Graph neural networks
Combining geometric and image representations
Multi-modality learning

Outside of the lab, I enjoy long-distance running, and all things hilly / green.

news

Sep 1, 2025	I have passed by PhD viva (with minor corrections) at Queen Mary University of London and have joined the Visual Computing group at Danish Technical University (DTU) Copenhagen as a postdoctoral fellow.
Sep 1, 2024	Paper accepted at the journal of Computers in Biology and Medicine: “POLYCORE: Polygon-based contour refinement for improved Intravascular Ultrasound Segmentation”. Paper and code available here
Aug 1, 2024	Best oral and paper finalist for “Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography” at this years MICCAI workshop of Advances in Simplifying Medical UltraSound (ASMUS). Paper & Code available here
Jun 1, 2024	First author paper accepted at MICCAI 2024: ‘BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision’. This work took place during an internship at Ultromics. Paper and code available here
May 1, 2024	I will be part of the delivery team for this years MICCAI workshop of Advances in Simplifying Medical UltraSound (ASMUS). Hope to see you there!
Jan 19, 2024	Starting a 6-month internship as a AI and Computer Vision Researcher at Ultromics, an Oxford-based start up developing AI for echocardiography analysis.

selected publications

POLYCORE: Polygon-based contour refinement for improved Intravascular Ultrasound Segmentation

Kit Mills Bransby, Retesh Bajaj, Anantharaman Ramasamy, and 5 more authors

Computers in Biology and Medicine, 2024

Bib PDF Code

@article{polycore,
  title = {POLYCORE: Polygon-based contour refinement for improved Intravascular Ultrasound Segmentation},
  author = {Bransby, Kit Mills and Bajaj, Retesh and Ramasamy, Anantharaman and {\c{C}}ap, Murat and Yap, Nathan and Slabaugh, Gregory and Bourantas, Christos and Zhang, Qianni},
  journal = {Computers in Biology and Medicine},
  volume = {182},
  pages = {109162},
  year = {2024},
  publisher = {Elsevier},
}

BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision

Kit Mills Bransby, Arian Beqiri, Woo-Jin Cho Kim, and 3 more authors

27th International Conference on Medical Image Computing and Computer Assisted Intervention, 2024

Bib PDF Code

@article{backmix,
  title = {BackMix: Mitigating Shortcut Learning in Echocardiography with Minimal Supervision},
  author = {Bransby, Kit Mills and Beqiri, Arian and Cho Kim, Woo-Jin and Oliveira, Jorge and Chartsias, Agisilaos and Gomez, Alberto},
  journal = {27th International Conference on Medical Image Computing and Computer Assisted Intervention},
  year = {2024},
}

Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography

Kit M Bransby, Woo-jin Cho Kim, Jorge Oliveira, and 4 more authors

MICCAI Workshop on Advances in Simplifying Medical Ultrasound (ASMUS), 2024

Bib PDF Code

@article{multi_site_CIL,
  title = {Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography},
  author = {Bransby, Kit M and Kim, Woo-jin Cho and Oliveira, Jorge and Thorley, Alex and Beqiri, Arian and Gomez, Alberto and Chartsias, Agisilaos},
  journal = {MICCAI Workshop on Advances in Simplifying Medical Ultrasound (ASMUS)},
  year = {2024},
}