Nina Montaña Brown

18 papers A* 3Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation.
npj Digit. Medicine
Elham Asgari, Nina Montaña Brown, Magda Dubois, Saleh Khalil, Jasmine Balloch, Joshua Au Yeung, Dominic Pimenta
2025 A* conf
Balancing Act: Diversity and Consistency in Large Language Model Ensembles.
ICLR
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
2025 J jnl
Competing for Pixels: A Self-Play Algorithm for Weakly-Supervised Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell.
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
2024 J jnl
Active learning using adaptable task-based prioritisation.
Medical Image Anal.
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
2024 J jnl
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation.
CoRR
Ahmed Abdulaal, Hugo Fry, Nina Montaña Brown, Ayodeji Ijishakin, Jack Gao, Stephanie L. Hyland, Daniel C. Alexander, Daniel C. Castro
2024 A* conf
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning.
ICLR
Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander
2024 J jnl
Competing for pixels: a self-play algorithm for weakly-supervised segmentation.
CoRR
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
2024 J jnl
Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis.
CoRR
Ayodeji Ijishakin, Adamos Hadjivasiliou, Ahmed Abdulaal, Nina Montaña Brown, Florence Townend, Edoardo Gioele Spinelli, Massimo Fillipi, Federica Agosta, James Cole, Andrea Malaspina
2023 J jnl
Multi-view-AE: A Python package for multi-view autoencoder models.
J. Open Source Softw.
Ana Lawry Aguila, Alejandra Jayme, Nina Montaña Brown, Vincent Heuveline, André Altmann
2023 A* conf
SARAMIS: Simulation Assets for Robotic Assisted and Minimally Invasive Surgery.
NeurIPS
Nina Montaña Brown, Shaheer U. Saeed, Ahmed Abdulaal, Thomas Dowrick, Yakup Kilic, Sophie Wilkinson, Jack Gao, Meghavi Mashar, Chloe He, Alkisti Stavropoulou, Emma Thomson, Zachary M. C. Baum, Simone Foti, Brian R. Davidson, Yipeng Hu, Matthew J. Clarkson
2022 J jnl
Active learning using adaptable task-based prioritisation.
CoRR
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
2022 J jnl
Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT.
Int. J. Comput. Assist. Radiol. Surg.
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
2022 — conf
Towards Multi-modal Self-supervised Video and Ultrasound Pose Estimation for Laparoscopic Liver Surgery.
ASMUS@MICCAI
Nina Montaña Brown, João Ramalhinho, Bongjin Koo, Moustafa Allam, Brian R. Davidson, Kurinchi Gurusamy, Yipeng Hu, Matthew J. Clarkson
2021 — conf
Endoscopic Ultrasound Image Synthesis Using a Cycle-Consistent Adversarial Network.
ASMUS@MICCAI
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
2021 J jnl
Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver.
Int. J. Comput. Assist. Radiol. Surg.
Nina Montaña Brown, João Ramalhinho, Moustafa Allam, Brian R. Davidson, Yipeng Hu, Matthew J. Clarkson
2020 J jnl
DeepReg: a deep learning toolkit for medical image registration.
CoRR
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, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu
2020 J jnl
DeepReg: a deep learning toolkit for medical image registration.
J. Open Source Softw.
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, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu
2020 J jnl
Introduction to Medical Image Registration with DeepReg, Between Old and New.
CoRR
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, Yipeng Hu