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Career

· Head Of Computer Science, UCL2024–
· Director, UCL Centre for Medical Image Computing (CMIC)2015–2024
· Professor Of Imaging Science, University College London2009–

Publications (36)

AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline
medRxiv · 2022
113
cited
AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK
BMJ Open · 2022
46
cited
Association Between Retinal Features From Multimodal Imaging and Schizophrenia.
JAMA psychiatry · 2023
40
cited
Learning from multiple annotators for medical image segmentation
Pattern Recognition · 2023
31
cited
Avoiding Unnecessary Biopsy after Multiparametric Prostate MRI with VERDICT Analysis: The INNOVATE Study.
Radiology · 2022
28
cited
Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation
International Conference on Medical Imaging with Deep Learning · 2022
22
cited
A digital pathology workflow for the segmentation and classification of gastric glands: Study of gastric atrophy and intestinal metaplasia cases
PLoS ONE · 2022
18
cited
Ten years of image analysis and machine learning competitions in dementia
NeuroImage · 2021
17
cited
A hybrid CNN-RNN approach for survival analysis in a Lung Cancer Screening study
Heliyon · 2023
16
cited
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation
International Conference on Medical Image Computing and Computer-Assisted Intervention · 2022
16
cited
Deep active learning for suggestive segmentation of biomedical image stacks via optimisation of Dice scores and traced boundary length
Medical Image Anal. · 2022
15
cited
MisMatch: Calibrated Segmentation via Consistency on Differential Morphological Feature Perturbations With Limited Labels
IEEE Transactions on Medical Imaging · 2021
13
cited
AGCN: Adversarial Graph Convolutional Network for 3D Point Cloud Segmentation
British Machine Vision Conference · 2021
11
cited
Interpolation-split: a data-centric deep learning approach with big interpolated data to boost airway segmentation performance
Journal of Big Data · 2023
11
cited
A 3D deep learning classifier and its explainability when assessing coronary artery disease
arXiv.org · 2023
7
cited
An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training
Medical Image Anal. · 2022
7
cited
Deep Learning-Based Long Term Mortality Prediction in the National Lung Screening Trial
IEEE Access · 2022
7
cited
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease
Comput. methods Biomech. Biomed. Eng. Imaging Vis. · 2021
7
cited
Optimising Chest X-Rays for Image Analysis by Identifying and Removing Confounding Factors
MICAD · 2022
7
cited
Delineating associations of progressive pleuroparenchymal fibroelastosis in patients with pulmonary fibrosis
ERJ Open Research · 2023
6
cited
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Daniel Alexander | Researcher Profile | Sotabase | Sotabase