Daniel C. Alexander
28 Papers
2 Citations
Daniel C. Alexander is an academic researcher. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 4, co-authored 26 publications.
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Papers
AutoMorph: Automated Retinal Vascular Morphology Quantification Via a Deep Learning Pipeline
Yukun Zhou,Siegfried K Wagner,Mark A Chia,A. Zhao,Peter Woodward-Court,Moucheng Xu,Robbert Struyven,Daniel C. Alexander,Pearse A. Keane +8 more
TL;DR: This fully automated pipeline can allow detailed, efficient and comprehensive analysis of retinal vascular morphology on colour fundus photographs, and perform well even when external validation data shows domain differences from training data, e.g., with different imaging devices.
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AlzEye: longitudinal record-level linkage of ophthalmic imaging and hospital admissions of 353 157 patients in London, UK
Siegfried K Wagner,Finton Hughes,Mario Cortina-Borja,Nikolas Pontikos,Robbert Struyven,Xiaoxuan Liu,Hugh Montgomery,Daniel C. Alexander,Eric J. Topol,Steffen E. Petersen,Konstantinos Balaskas,Jack Hindley,Axel Petzold,Jugnoo S Rahi,Alastair K Denniston,Pearse A. Keane +15 more
TL;DR: AlzEye combines the world’s largest single institution retinal imaging database with nationally collected systemic data to create an exceptional large-scale, enriched cohort that reflects the diversity of the population served.
Association Between Retinal Features From Multimodal Imaging and Schizophrenia.
Siegfried K Wagner,Mario Cortina-Borja,Steven M. Silverstein,Yukun Zhou,David Romero-Bascones,Robbert Struyven,Emanuele Trucco,Muthu Rama Krishnan Mookiah,Tom MacGillivray,Stephen Hogg,Timing Liu,Dominic J Williamson,Nikolas Pontikos,Praveen J Patel,Konstantinos Balaskas,Daniel C. Alexander,Kelsey Stuart,Anthony P Khawaja,Alastair K Denniston,Jugnoo S Rahi,Axel Petzold,Pearse A. Keane +21 more
TL;DR: In this article , the authors investigated the association between retinal biomarkers from multimodal imaging (oculomics) and schizophrenia in a large real-world population, using data from a retrospective cohort of 154,830 patients 40 years and older from the AlzEye study.
Learning from multiple annotators for medical image segmentation
Le Zhang,Ryutaro Tanno,Moucheng Xu,Yawen Huang,Kevin Bronik,Chen Jin,Joseph Jacob,Yefeng Zheng,Ling Shao,Olga Ciccarelli,Frederik Barkhof,Daniel C. Alexander +11 more
TL;DR: In this paper , the authors use two coupled CNNs to jointly learn the reliability of individual annotators and the expert consensus label distributions, which is achieved by maximally describing the annotator's "unreliable behavior" while achieving high fidelity with the noisy training data.
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A digital pathology workflow for the segmentation and classification of gastric glands: Study of gastric atrophy and intestinal metaplasia cases
Panagiotis Barmpoutis,William Waddingham,Jing Yun Yuan,Christopher Ross,Hamzeh Kayhanian,Tania Stathaki,Daniel C. Alexander,Marnix Jansen +7 more
TL;DR: In this paper , an end-to-end workflow for gastric gland segmentation and classification for the analysis of gastric tissues is proposed. But, it is difficult to confirm endoscopically and, following the Sydney protocol, their diagnosis depends on the diagnosis of glandular morphology and on the identification of at least one well-defined goblet cell in a set of hematoxylin and eosin (H&E)-stained biopsy samples.
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