Nina Montaña Brown

According to our database, Nina Montaña Brown authored at least 15 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., February, 2025

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

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

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

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

Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning.

Ahmed Abdulaal, Adamos Hadjivasiliou, Nina Montaña Brown, Tiantian He, Ayodeji Ijishakin, Ivana Drobnjak, Daniel C. Castro, Daniel C. Alexander

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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., June, 2023

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, Alkisti Stavropoulou, Emma Thomson, Zachary M. C. Baum, Simone Foti, Brian R. Davidson, Yipeng Hu, Matthew J. Clarkson

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022

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

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

Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

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, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu

Dataset, November, 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, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu

J. Open Source Softw., 2020

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, Yipeng Hu

CoRR, 2020