Suivre
Nina Montana-Brown
Nina Montana-Brown
Adresse e-mail validée de ucl.ac.uk
Titre
Citée par
Citée par
Année
DeepReg: a deep learning toolkit for medical image registration
Y Fu, NM Brown, SU Saeed, A Casamitjana, Z Baum, R Delaunay, ...
arXiv preprint arXiv:2011.02580, 2020
412020
Vessel segmentation for automatic registration of untracked laparoscopic ultrasound to CT of the liver
N Montaña-Brown, J Ramalhinho, M Allam, B Davidson, Y Hu, ...
International Journal of Computer Assisted Radiology and Surgery 16 (7 …, 2021
192021
Imaging of human peripheral blood vessels during cuff occlusion with a compact LED-based photoacoustic and ultrasound system
W Xia, E Maneas, NT Huynh, MKA Singh, NM Brown, S Ourselin, ...
Photons Plus Ultrasound: Imaging and Sensing 2019 10878, 9-13, 2019
182019
Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT
J Ramalhinho, B Koo, N Montaña-Brown, SU Saeed, E Bonmati, ...
International Journal of Computer Assisted Radiology and Surgery 17 (8 …, 2022
82022
Enhancing photoacoustic visualization of medical devices with elastomeric nanocomposite coatings
W Xia, S Noimark, E Maneas, NM Brown, MKA Singh, S Ourselin, SJ West, ...
Photons Plus Ultrasound: Imaging and Sensing 2019 10878, 299-303, 2019
62019
Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata-and Data-driven Reasoning
A Abdulaal, N Montana-Brown, T He, A Ijishakin, I Drobnjak, DC Castro, ...
The Twelfth International Conference on Learning Representations, 2023
52023
Endoscopic ultrasound image synthesis using a cycle-consistent adversarial network
A Grimwood, J Ramalhinho, ZMC Baum, N Montaña-Brown, GJ Johnson, ...
Simplifying Medical Ultrasound: Second International Workshop, ASMUS 2021 …, 2021
52021
Multi-view-AE: A Python package for multi-view autoencoder models
AL Aguila, A Jayme, N Montaña-Brown, V Heuveline, A Altmann
Journal of Open Source Software 8 (85), 5093-5093, 2023
42023
Towards multi-modal self-supervised video and ultrasound pose estimation for laparoscopic liver surgery
N Montaña-Brown, J Ramalhinho, B Koo, M Allam, B Davidson, ...
International Workshop on Advances in Simplifying Medical Ultrasound, 183-192, 2022
32022
A framework to assess clinical safety and hallucination rates of LLMs for medical text summarisation
E Asgari, N Montana-Brown, M Dubois, S Khalil, J Balloch, D Pimenta
medRxiv, 2024.09. 12.24313556, 2024
22024
Saramis: Simulation assets for robotic assisted and minimally invasive surgery
N Montaña-Brown, SU Saeed, A Abdulaal, T Dowrick, Y Kilic, S Wilkinson, ...
Advances in Neural Information Processing Systems 36, 26121-26134, 2023
22023
Introduction to medical image registration with deepreg, between old and new
N Brown, Y Fu, SU Saeed, A Casamitjana, ZMC Baum, R Delaunay, ...
arXiv preprint arXiv:2009.01924, 2020
22020
An X-Ray Is Worth 15 Features: Sparse Autoencoders for Interpretable Radiology Report Generation
A Abdulaal, H Fry, N Montaña-Brown, A Ijishakin, J Gao, S Hyland, ...
arXiv preprint arXiv:2410.03334, 2024
12024
Active learning using adaptable task-based prioritisation
SU Saeed, J Ramalhinho, M Pinnock, Z Shen, Y Fu, N Montaña-Brown, ...
Medical Image Analysis 95, 103181, 2024
12024
Introduction to medical image registration with deepreg, between old and new
N Montana Brown, Y Fu, SU Saeed, A Casamitjana, ZMC Baum, ...
arXiv e-prints, arXiv: 2009.01924, 2020
12020
Competing for pixels: a self-play algorithm for weakly-supervised semantic segmentation
SU Saeed, S Huang, J Ramalhinho, IJMB Gayo, N Montaña-Brown, ...
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024
2024
Normative Diffusion Autoencoders: Application to Amyotrophic Lateral Sclerosis
A Ijishakin, A Hadjasavilou, A Abdulaal, N Montana-Brown, F Townend, ...
arXiv preprint arXiv:2407.14191, 2024
2024
Competing for pixels: a self-play algorithm for weakly-supervised segmentation
SU Saeed, S Huang, J Ramalhinho, IJMB Gayo, N Montaña-Brown, ...
arXiv preprint arXiv:2405.16628, 2024
2024
Evaluating automated radiology reports
A Abdulaal, A Ijishakin, NM Brown
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