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Nina Montaña Brown

MPhil/PhD Medical Imaging candidate, Computer Assisted Surgery (COMPASS) Group

UCL i4health CDT, Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS), Center for Medical Image Computing (CMIC)

Dept. of Medical Physics and Biomedical Engineering, University College London

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Education | Awards | Publications | Academic Experience | Professional Experience | Open Source Contributions | Other Activities

Education

Sept. 2020 - present MPhil/PhD Medical Imaging | University College London | London, UK

  • Thesis: "Multi-Modal Deep Learning for Automatic Registration in Image Guided Interventions"
  • Supervisors: Assoc. Prof Matt J. Clarkson, Assoc. Prof. Yipeng Hu

Sept. 2019 - Sept. 2020 MRes Medical Imaging | University College London | London, UK

  • Thesis: "Vessel Segmentation of Laparoscopic Liver Ultrasound using Convolutional Neural Networks"
  • Classification: Distinction
  • Supervisors: Dr. Matt J. Clarkson, Dr. Yipeng Hu

Sept. 2015 - June. 2019 MSci Medical Physics | University College London | London, UK

  • Thesis: “Robust and automatic image registration for 2D all-optical ultrasound imaging”
  • Supervisors: Dr. Erwin Alles, Prof. Adrien Desjardins
  • 1:1 (First Class) Honours // 4.0 GPA

Publications

Journals

  • N. Montana-Brown, J. Ramalhinho, M. Allan, B. Davidson, Y. Hu, and M. Clarkson, "Vessel Segmentation for Automatic Registration of Untracked Laparoscopic Ultrasound to CT of the Liver", Int J CARS (2021). https://doi.org/10.1007/s11548-021-02400-6

  • J. Ramalhinho, B. Koo, N. Montana-Brown, S. U. Saeed, E. Bonmati, K. Gurusamy, S. P. Pereira, B. Davidson, Y. Hu, and M. J. Clarkson, "Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT", Int J Cars (2022), https://doi.org/10.1007/s11548-022-02605-3

  • Y. Fu, N. Montana Brown, S. Saeed, A. Casamitjana, Z. Baum, R. Delaunay, Q. Yang, A. Grimwood, Z. Min, J. Iglesias, D. Barratt, E. Bonmati, M. Clarkson, T. Vercauteren, Y. Hu. "DeepReg: a deep learning toolkit for medical image registration," The Journal of Open Source Software, 5(55), 2705, (2020) doi: https://doi.org/10.21105/joss.02705

Conference Papers

  • N. Montana-Brown, J. Ramalhinho, B. Koo, M. Allan, B. Davidson, Y. Hu, and M. Clarkson, "Towards Self-Supervised Video and Ultrasound Pose Estimation for Laparoscopic Liver Surgery", MICCAI ASMUS 2022.

  • J. Ramalhinho, B. Koo, N. Montana-Brown, S. U. Saeed, E. Bonmati, K. Gurusamy, S. P. Pereira, B. Davidson, Y. Hu, and M. J. Clarkson, "Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT", IPCAI 2022.

  • A. Grimwood, J. Ramalhinho, Z. M.C. Baum, N. Montana-Brown, G. J. Johnson, Y. Hu, M. Clarkson, S. P. Pereira, D. Barratt, and E. Bonmati, "Endoscopic ultrasound image synthesis using a cycle-consistent adversarial network", MICCAI ASMUS 2021.

  • N. Montana-Brown, J. Ramalhinho, M. Allan, B. Davidson, Y. Hu, and M. Clarkson, "Vessel Segmentation for Automatic Registration of Untracked Laparoscopic Ultrasound to CT of the Liver", IPCAI 2021.

    • Awarded the "Audience Choice for Best Innovation: Honorary Mention"

  • W. Xia, E. Maneas, N. T. Huynh, M. K. A. Singh, N. Montana Brown, S. Ourselin, E. Gilbert-Kawai, S. J. West, and A. E. Desjardins "Imaging of human peripheral blood vessels during cuff occlusion with a compact LED- based photoacoustic and ultrasound system ", Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 1087804 (2019); doi: 0.1117/12.2509666;

  • W. Xia, S. Noimark, E. Maneas, N. Montana Brown, M. K. A. Singh, S. Ourselin, S. J. West, and A. E. Desjardins "Enhancing photoacoustic visualization of medical devices with elastomeric nanocomposite coatings", Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108783G (2019); doi: 10.1117/12.2508658;

Posters

  • "Non-local means de-noising of photoacoustic images acquired from human peripheral vasculature in vivo with light-emitting diode arrays", SPIE Photonics West BiOS, 2019

Other

  • MICCAI Educational Challenge 2020 Winner: "Introduction to Medical Image Registration using DeepReg, between Old and New", Jupyter Notebook

Professional Experience

Jun 2022 - Dec 2022 Odin Vision | Research Scientist Internship

Nov 2020 - present Verdure Imaging Inc. | AI Software Developer and Consultant

Building, evaluating and testing AI diagnostic solutions for ultrasound data.

July - Aug 2018 CYBERDYNE Inc | Software Development Internship

Built a GUI solution in MATLAB to integrate CYBERDYNE’s AcousticX pre-clinical photoacoustic and ultrasound imaging system with advanced data analysis scripts for translation to clinical practice

Sept 2017 – Sept 2018 Epicardio Ltd | Intern

Shadowed and participated in webinars where the SME’s product was presented to an audience of academics, departmental staff and students. Reviewed the product for potential improvements to a student’s experience of Epicardio.

April 2018 Accenture Technology Visionary Spring Week | Software Development

Analyzed a business case and built an end-to-end solution consisting of a IBM Watson Conversation API, an HTML front end and a back end developed in JS (Angular, Express).

Jul 2014 – Aug 2014 SENDIN S.A | Software and Systems Internship

Parametrized factory software (ARMA+) to make the object to machine assigning process efficient, saving the processing team a daily 3h from manual organising and assigning production documentation.

Open Source Contributions

June 2020 - present DeepReg | Core Developers Team Member, QA and Testing | DeepReg Repository

Core developer and maintainer of repository. Led the unit testing team to perform QA of repository prior to release and submission for publication in October 2020. Prepared a MICCAI Educational Challenge 2020 submission which was selected as a finalist and voted winner via a popular vote.

Skills and Courses

  • March 2021: UCL RITS & DiRAC NVIDIA AI Bootcamp

Awards

Grants, Fellowships & Scholarships

Sept. 2019 - Sept. 2024 CDT i4Health Studentship | University College London | London, UK | ~£110,000

The new i4health CDT will train the UK’s future leaders in next-generation medical imaging research, development and enterprise, to produce intelligent, radical healthcare innovations focused on either imaging or imaging-enabled systems.

  • Thesis: "Intelligent Interventional Ultrasound Fusion and Guidance"
  • Supervisors: Dr. Matt J. Clarkson, Dr. Yipeng Hu (UCL)

Jun. 2017 - August. 2017 EPSRC Vacation Bursary Recipient | University College London | London, UK | £4500

The EPSRC provides funding for undergraduate students to gain first hand positive and practical experience of research in a UK university through a vacation bursary. One of 15 vacation bursars chosen in the UK.

  • Project: "Ultrasonic Stimulation of Neurons using Photoacoustic Excitation of Carbon Nanotube-PDMS Composites"
  • Supervisors: Prof. Adrien Desjardins (UCL), Dr. A. Jerusalem (Oxford)

Academic Experience

Teaching Experience

Dept. of Medical Physics and Biomedical Engineering, University College London

  • Autumn 2019, 2020, 2021 - MPHY0020 Computing in Medicine
  • Autumn 2020, 2021 - MPHY0041 Research Software Engineering in Python
  • Autumn 2021 - MPHY0043 Artificial Intelligence for Surgery and Interventions
  • Autumn 2019 - Autumn 2021 - Peergrade Moodle Learning Tool Developer

Invited Presentations

2019, N Montana Brown, "Robust and automatic image registration for 2D all-optical ultrasound imaging", DKFZ CAMI, Heidelberg, Germany.

## Journal Reviews (ad hoc)

  • 2020 - present IEEE Transactions on Medical Imaging
  • 2020 - present Journal of Open Source Software
  • 2021 - present MICCAI Advances in Simplifying Medical Ultrasound (ASMUS) Workshop
    • Awarded a 2021 "Reviewer Commendation" in recognition to an outstanding contribution to the workshop.

Other Activities

September 2019 - 2020 Spanish National Women's Ultimate Frisbee Team

June 2016 - 2019 UCL Sports Awards | Ultimate Frisbee

  • June 2019 UCL Cap: Awarded annually to individual sportsmen/women who have represented their country in any sport.
  • June 2019 UCL Centenary: 4 years or more of dedicated service to one or more sports club(s) at UCLU.
  • June 2017 UCL Colours: 2 years exemplary service to one or more sports club(s) at UCLU.
  • June 2016 UCL Commendation: 1 year exemplary service to one or more sports club(s) at UCLU.