Jose Bernal Moyano

Thesis title: Suitability of retrospective imaging artefact removal for the study small vessel disease using magnetic resonance imaging

Background

Jose Bernal Moyano received the B.Sc. in Computer Engineering from the Universidad del Valle (2014), and M.Sc. in Computer Vision and Robotics from the Université de Bourgogne, the Universitat de Girona and the Heriot-Watt University (2017). JB is doing the PhD degree in Precision Medicine at the University of Edinburgh and the University of Glasgow since 2018.  JBM has published his work at national and international conferences as well as peer-reviewed journals. His research interest comprises machine learning, computer vision, and medical image analysis.

Honours and Awards

  • Funding award to support attendance at the DPUK datathon by the Alzheimer’s Research UK, the Alan Turing Institute, the University of Exeter and Dementias Platform UK in 2019
  • MRC Grant for the DTP in Precision Medicine by the University of Edinburgh, University of Glasgow and Medical Research Council in 2018
  • Distinction mention on his master degree by the Heriot-Watt University in 2017
  • Best master thesis by the Erasmus Mundus Master in Vision and Robotics in 2017
  • Erasmus Mundus+ grant for the Master in Vision and Robotics in 2015
  • Best graduate from computer engineering in 2014 by the Universidad del Valle
  • Meritorious mention for his final undergraduate project by the Universidad del Valle in 2014
  • Top students in engineering from 2009-2013 by the Universidad del Valle
  • "Study trip for groups of foreign students to Germany" by the German Academic Exchange Service (DAAD) in 2013

CV

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Qualifications

MSc in Computer Vision and Robotics from the Université de Bourgogne (France)

MSc in Computer Vision and Robotics from the Universitat de Girona (Spain)

MSc in Computer Vision and Robotics from the Heriot-Watt University (UK)

BSc in Computer Engineering from the Universidad del Valle (Colombia)

Postgraduate teaching

  • Image processing [Teaching assistant - PG course] - SEM1 2019
  • Image processing [Teaching assistant - PG course] - SEM1 2020
  • Medical image segmentation using deep learning [Seminar instructor - PG course] - 8h 2020
  • Medical image segmentation for clinical applications [Seminar instructor - PG course] - 10h 2021

Open to PhD supervision enquiries?

No

Past PhD students supervised

  • Emily Carvajal - Main Supervisor - Universidad del Valle - Full mark, laurate project
  • William Xu - Co-supervisor - The University of Edinburgh

Current research interests

Small vessel disease, retrospective imaging artefact removal

Past research interests

Brain MR tissue segmentation, brain MR image generation, convolutional neural networks, deep learning

Current project grants

MRC Grant for the DTP in Precision Medicine by the University of Edinburgh, University of Glasgow and Medical Research Council in 2018

Invited speaker

  • Thinking Chile 2019 Edinburgh [Invited speaker - 08-02-2019]
  • VIBOT days 2019 [Invited speaker - 13-06-2019]

Participant

  • Dementias Platform UK (DPUK) datathon in Exeter [01-05-2019 - 03-05-2019]
  • FAIR Science: tricky problems and creative solutions [2019]
  • Leducq network meeting [Oral presentation - 2019]
  • Conference on Medical Image Understanding and Analysis [Oral presentation - 2019]
  • Conference on Medical Image Understanding and Analysis [Oral presentation - 2020]
  • Organisation of Human Brain Mapping annual meeting [Poster - 2020]
  • SINAPSE annual scientific meeting [Oral presentation - 2020]
  • European Stroke Organisation [Poster - 2020]