Hugh O'Brien

PhD student (previous member) · Imperial College London · joined 2018, until 2022

Hugh O’Brien graduated from Trinity College Dublin with a BA in Psychology and Imperial College London with an MSc in Computer Science. He also completed a MRes in Imaging Science at King’s College London. In between he worked at PLOS on some of their flagship journals. Prior to starting his PhD Hugh was a software engineer at Overleaf, a collaborative science writing platform for LaTeX.

His PhD at CEMRG, from 2018 to 2022, focused on machine learning based approaches to improve the viability of CT for invasive cardiac procedure guidance with an initial focus on infarct region localisation. His next role was as senior bioinformatics scientist in Achilles Therapeutics.

Papers

First author 3

Hugh O’Brien, John Whitaker, Mark D. O’Neill, Karine Grigoryan, Harminder Gill, …, Steven Niederer
Regional left ventricle scar detection from routine cardiac computed tomography angiograms using latent space classification
Computers in Biology and Medicine, 2022
Hugh O'Brien, Michelle C. Williams, Ronak Rajani, Steven Niederer
Radiomics and Machine Learning for Detecting Scar Tissue on CT Delayed Enhancement Imaging
Frontiers in Cardiovascular Medicine, 2022
Hugh O'Brien, John Whitaker, Baldeep Singh Sidhu, Justin Gould, Tanja Kurzendorfer, …, Steven Niederer
Automated Left Ventricle Ischemic Scar Detection in CT Using Deep Neural Networks
Frontiers in Cardiovascular Medicine, 2021

Middle author 6

Vishal S. Mehta, YingLiang Ma, Nadeev Wijesuriya, Felicity DeVere, Sandra Howell, …, Hugh O’Brien, Steven Niederer, …
Enhancing transvenous lead extraction risk prediction: Integrating imaging biomarkers into machine learning models
Heart Rhythm, 2024
Vishal S. Mehta, Hugh O’Brien, Mark K. Elliott, Nadeev Wijesuriya, Angelo Auricchio, Salma Ayis, …, Steven Niederer, …
Machine learning–derived major adverse event prediction of patients undergoing transvenous lead extraction: Using the ESC EHRA EORP European lead extraction ConTRolled ELECTRa registry
Heart Rhythm, 2022
Vishal S. Mehta, Hugh O’Brien, Mark K. Elliott, Baldeep S. Sidhu, Justin Gould, Anoop K. Shetty, Steven Niederer, …
Assessing long-term survival and hospitalization following transvenous lead extraction in patients with cardiac resynchronization therapy devices: A propensity score–matched analysis
Heart Rhythm O2, 2021
VS Mehta, MK Elliott, BS Sidhu, H O’brien, J Gould, R Razavi, S Niederer, …
Assessing survival and re-hospitalisation following transvenous lead extraction in cardiac resynchronisation therapy devices depending on reimplantation timing: a propensity score matched analysis
EP Europace, 2021
VS Mehta, H O’brien, MK Elliott, BS Sidhu, J Gould, R Razavi, S Niederer, …
Machine learning based major complication prediction for patients undergoing transvenous lead extraction
EP Europace, 2021
Charles Sillett, Orod Razeghi, Marina Strocchi, Caroline H. Roney, Hugh O’Brien, Daniel B. Ennis, Ulrike Haberland, Ronak Rajani, Christopher A. Rinaldi, Steven A. Niederer
Optimisation of Left Atrial Feature Tracking Using Retrospective Gated Computed Tomography Images
Lecture notes in computer science, 2021