Introduction to Medical Image Registration with DeepReg, Between Old and New. - Nina Montaña Brown; Yunguan Fu; Shaheer U. Saeed; Adrià Casamitjana; Zachary M. C. Baum; Rémi Delaunay; Qianye Yang; Alex Grimwood; Zhe Min; Ester Bonmati; Tom Vercauteren; Matthew J. Clarkson; et al. (CoRR, 2020)

DeepReg: a deep learning toolkit for medical image registration. - Yunguan Fu; Nina Montaña Brown; Shaheer U. Saeed; Adrià Casamitjana; Zachary Baum; Rémi Delaunay; Qianye Yang; Alexander Grimwood; Zhe Min; Stefano B. Blumberg; Juan Eugenio Iglesias; Dean C. Barratt; et al. (J. Open Source Softw., 2020)

DeepReg: a deep learning toolkit for medical image registration. - Yunguan Fu; Nina Montaña Brown; Shaheer U. Saeed; Adrià Casamitjana; Zachary M. C. Baum; Rémi Delaunay; Qianye Yang; Alexander Grimwood; Zhe Min; Stefano B. Blumberg; Juan Eugenio Iglesias; Dean C. Barratt; et al. (Zenodo, 2020)

Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network. - Alexander Grimwood; João Ramalhinho; Zachary M. C. Baum; Nina Montaña Brown; Gavin J. Johnson; Yipeng Hu; Matthew J. Clarkson; Stephen P. Pereira; Dean C. Barratt; Ester Bonmati (ASMUS@MICCAI, 2021)

Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver. - Nina Montaña Brown; João Ramalhinho; Moustafa Allam; Brian R. Davidson; Yipeng Hu; Matthew J. Clarkson (Int. J. Comput. Assist. Radiol. Surg., 2021)

Towards Multi-modal Self-supervised Video and Ultrasound Pose Estimation for Laparoscopic Liver Surgery. - Nina Montaña Brown; João Ramalhinho; Bongjin Koo; Moustafa Allam; Brian R. Davidson; Kurinchi Gurusamy; Yipeng Hu; Matthew J. Clarkson (ASMUS@MICCAI, 2022)

Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT. - João Ramalhinho; Bongjin Koo; Nina Montaña Brown; Shaheer U. Saeed; Ester Bonmati; Kurinchi Gurusamy; Stephen P. Pereira; Brian R. Davidson; Yipeng Hu; Matthew J. Clarkson (Int. J. Comput. Assist. Radiol. Surg., 2022)

SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery. - Nina Montaña Brown; Shaheer U. Saeed; Ahmed Abdulaal; Thomas Dowrick; Yakup Kilic; Sophie Wilkinson; Jack Gao; Meghavi Mashar; Chloe He 002; Alkisti Stavropoulou; Emma Thomson; Zachary M. C. Baum; et al. (NeurIPS, 2023)

Multi-view-AE: A Python package for multi-view autoencoder models. - Ana Lawry Aguila; Alejandra Jayme; Nina Montaña Brown; Vincent Heuveline; André Altmann (J. Open Source Softw., 2023)

Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning. - Ahmed Abdulaal; Adamos Hadjivasiliou; Nina Montaña Brown; Tiantian He 002; Ayodeji Ijishakin; Ivana Drobnjak; Daniel C. Castro; Daniel C. Alexander (ICLR, 2024)

Competing for pixels: a self-play algorithm for weakly-supervised segmentation. - Shaheer U. Saeed; Shiqi Huang; João Ramalhinho; Iani J. M. B. Gayo; Nina Montaña Brown; Ester Bonmati; Stephen P. Pereira; Brian R. Davidson; Dean C. Barratt; Matthew J. Clarkson; Yipeng Hu (CoRR, 2024)

Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis. - Ayodeji Ijishakin; Adamos Hadjivasiliou; Ahmed Abdulaal; Nina Montaña Brown; Florence Townend; Edoardo Gioele Spinelli; Massimo Fillipi; Federica Agosta; James Cole; Andrea Malaspina (CoRR, 2024)

An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation. - Ahmed Abdulaal; Hugo Fry; Nina Montaña Brown; Ayodeji Ijishakin; Jack Gao; Stephanie L. Hyland; Daniel C. Alexander; Daniel C. Castro (CoRR, 2024)

Active learning using adaptable task-based prioritisation. - Shaheer U. Saeed; João Ramalhinho; Mark A. Pinnock; Ziyi Shen; Yunguan Fu; Nina Montaña Brown; Ester Bonmati; Dean C. Barratt; Stephen P. Pereira; Brian R. Davidson; Matthew J. Clarkson; Yipeng Hu (Medical Image Anal., 2024)

Balancing Act: Diversity and Consistency in Large Language Model Ensembles. - Ahmed Abdulaal; Chen Jin; Nina Montaña Brown; Aryo Pradipta Gema; Daniel C. Castro; Daniel C. Alexander; Philip Alexander Teare; Tom Diethe; Dino Oglic; Amrutha Saseendran (ICLR, 2025)

A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation. - Elham Asgari; Nina Montaña Brown; Magda Dubois; Saleh Khalil; Jasmine Balloch; Joshua Au Yeung; Dominic Pimenta (npj Digit. Medicine, 2025)

Competing for Pixels: A Self-Play Algorithm for Weakly-Supervised Semantic Segmentation. - Shaheer U. Saeed; Shiqi Huang; João Ramalhinho; Iani J. M. B. Gayo; Nina Montaña Brown; Ester Bonmati; Stephen P. Pereira; Brian R. Davidson; Dean C. Barratt; Matthew J. Clarkson; Yipeng Hu (IEEE Trans. Pattern Anal. Mach. Intell., 2025)