Biography

My research concerns developing machine learning and AI models to generate the protein conformational ensembles. In this context, I am interested in how to learn the good representations of the protein structures as well as the distributions of the protein ensembles.

Publications

Latent disentanglement in mesh variational autoencoders improves the diagnosis of craniofacial syndromes and aids surgical planning

Simone Foti, Alexander J. Rickart, Bongjin Koo, Eimear O’ Sullivan, Lara S. van de Lande, Athanasios Papaioannou, Roman Khonsari, Danail Stoyanov, N.u. Owase Jeelani, Silvia Schievano, David J. Dunaway, Matthew J. Clarkson

Computer Methods and Programs in Biomedicine, Vol. 256, Pages 108395

2024 November

The value of Augmented Reality in surgery — A usability study on laparoscopic liver surgery

João Ramalhinho, Soojeong Yoo, Thomas Dowrick, Bongjin Koo, Murali Somasundaram, Kurinchi Gurusamy, David J. Hawkes, Brian Davidson, Ann Blandford, Matthew J. Clarkson

Medical Image Analysis, Vol. 90, Pages 102943

2023 December

Automatic, global registration in laparoscopic liver surgery

Bongjin Koo, Maria R. Robu, Moustafa Allam, Micha Pfeiffer, Stephen Thompson, Kurinchi Gurusamy, Brian Davidson, Stefanie Speidel, David Hawkes, Danail Stoyanov, Matthew J. Clarkson

International Journal of Computer Assisted Radiology and Surgery, Vol. 17, Issue 1, Pages 167-176

2022 January