Kit Mills Bransby

I am currently a postdoctoral fellow in the Visual Computing group at the Danish Technical University and the CARROT/ARTICHOKE cardiovascular research group at Rigshospitalet Copenhagen, under the supervision of Prof. Rasmus Paulsen and Prof. Klaus Kofoed.

My research uses deep learning for the analysis of coronary images. During my PhD at Queen Mary Univeristy of London, supervised by Dr. Qianni Zhang, Prof. Greg Slabaugh and Prof. Christos Bourantas, I focused on intravascular imaging. My thesis, “Bridging Graph and Dense Representations for Coronary Vessel Segmentation and Registration,” explored the complementary relationship between geometric and pixel representations to quantify plaque and track disease progression.

My current research continues to focus on segmentation and registration methods to automate coronary analysis, now in computed tomography. More broadly I am interested in:

Graph learning
Combining geometric and image representations
Multi-modality learning and registration

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

selected publications

IntraCross: Cross-Modality Graph Matching for Intravascular Sequence Registration

Kit Mills Bransby, Xingwei He, Christos V Bourantas, and 10 more authors

Computers in Biology and Medicine, 2026

Bib Code

@article{bransby2026intra,
  title = {IntraCross: Cross-Modality Graph Matching for Intravascular Sequence Registration},
  author = {Bransby, Kit Mills and He, Xingwei and Bourantas, Christos V and Ulutas, Ahmet Emir and Yap, Nathan Angelo Lecaros and Kakizaki, Ryota and Ueki, Yasushi and Häner, Jonas and Koskinas, Konstantinos K and Dijkstra, Jouke and Slabaugh, Gregory and Räber, Lorenz and Zhang, Qianni},
  journal = {Computers in Biology and Medicine},
  year = {2026},
}

A novel framework for fully-automated co-registration of intravascular ultrasound and optical coherence tomography imaging data

Xingwei He, Kit Mills Bransby, Ahmet Emir Ulutas, and 18 more authors

European Heart Journal - Digital Health, 2026

Bib

@article{he2026novel,
  title = {A novel framework for fully-automated co-registration of intravascular ultrasound and optical coherence tomography imaging data},
  author = {He, Xingwei and Bransby, Kit Mills and Ulutas, Ahmet Emir and Kumaran, Thamil and Yap, Nathan Angelo Lecaros and Zeren, Gonul and Zeng, Hesong and Zhang, Yaojun and Kakizaki, Ryota and Ueki, Yasushi and Häner, Jonas and Siontis, George C M and Losdat, Sylvain and Baumbach, Andreas and Moon, James and Mathur, Anthony and Torii, Ryo and Dijkstra, Jouke and Zhang, Qianni and Räber, Lorenz and Bourantas, Christos V},
  journal = {European Heart Journal - Digital Health},
  year = {2026},
}

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{bransby2024polycore,
  title = {POLYCORE: Polygon-based contour refinement for improved Intravascular Ultrasound Segmentation},
  author = {Bransby, Kit Mills and Bajaj, Retesh and Ramasamy, Anantharaman and Cap, 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{bransby2024backmix,
  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},
}

3D Coronary Vessel Reconstruction from Bi-Plane Angiography using Graph Convolutional Networks

Kit Mills Bransby, Vincenzo Tufaro, Murat Cap, and 3 more authors

20th IEEE International Symposium on Biomedical Imaging (ISBI), 2023

Bib PDF

@article{bransby2023coronary,
  title = {3D Coronary Vessel Reconstruction from Bi-Plane Angiography using Graph Convolutional Networks},
  author = {Bransby, Kit Mills and Tufaro, Vincenzo and Cap, Murat and Slabaugh, Greg and Bourantas, Christos and Zhang, Qianni},
  journal = {20th IEEE International Symposium on Biomedical Imaging (ISBI)},
  year = {2023},
}