Medical Imaging

Medical Imaging

In addition to image-processing of images that are microscopical in nature, I have experience with other acquisition modalities like magnetic resonance, computed tomography and x-rays.










Team members:

Collaborators:

Graham Lieschke

Australian Regenerative Medicine Institute, Monash University, Australia

Greg Slabaugh

Director of the Digital Environment Research Institute, Queen Mary, University of London

Karen Knapp

College of Medicine and Health, University of Exeter

Lucy Collinson

Electron Microscopy Science Technology Platform, Francis Crick Institute, UK

Martin Jones

Electron Microscopy Science Technology Platform, Francis Crick Institute, UK

Stephen A Renshaw

Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield

Publications:

A multidisciplinary team and multiagency approach for AI implementation: A commentary for medical imaging and radiotherapy key stakeholders
Nikolaos Stogiannos, Caitlin Gillan, Helle Precht, Claudia sa dos Reis, Amrita Kumar, Tracy O'Regan, Vanessa Ellis, Anna Barnes, Richard Meades, Michael Pogose, Julien Greggio, Erica Scurr, Shamie Kumar, Graham King, David Rosewarne, Catherine Jones, Kicky G. van Leeuwen, Emma Hyde, Charlotte Beardmore, Juan Gutierrez Alliende, Samar El-Farra, Stamatia Papathanasiou, Jan Beger, Jonathan Nash, Peter van Ooijen, Christiane Zelenyanszki, Barbara Koch, Keith Antony Langmack, Richard Tucker, Vicky Goh, Tom Turmezei, Gerald Lip, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso, Geraldine Dean, Shashivadan P. Hirani, Sofia Torre, Theophilus N. Akudjedu, Benard Ohene-Botwe, Ricardo Khine, Chris O'Sullivan, Yiannis Kyratsis, Mark McEntee, Peter Wheatstone, Yvonne Thackray, James Cairns, Derek Jerome, Andrew Scarsbrook, Christina Malamateniou
Published in Journal of Medical Imaging and Radiation Sciences, July 2024 (see publication)
Research themes: Image Processing, Machine Learning, AI, Deep Learning, Microscopy
Type: Journal