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Scientific Reports|February 11, 2026
Automated cone photoreceptor detection using synthetic data and deep learning in confocal adaptive optics scanning laser ophthalmoscope imagesMital Shah, Laura K Young, Susan M Downes, et al.
Medical Image Analysis|March 12, 2021
Learning to map 2D ultrasound images into 3D space with minimal human annotationPak-Hei Yeung, Moska Aliasi, Aris T Papageorghiou, et al.
Neuron|October 11, 2022
Challenges for machine learning in clinical translation of big data imaging studiesNicola K Dinsdale, Emma Bluemke, Vaanathi Sundaresan, et al.
Medical Image Analysis|January 28, 2015
Learning-based prediction of gestational age from ultrasound images of the fetal brainAna I L Namburete, Richard V Stebbing, Bryn Kemp, et al.
Medical Image Analysis|March 28, 2024
Sensorless volumetric reconstruction of fetal brain freehand ultrasound scans with deep implicit representationPak-Hei Yeung, Linde S Hesse, Moska Aliasi, et al.
Neuroimage|March 25, 2022
Subcortical segmentation of the fetal brain in 3D ultrasound using deep learningLinde S Hesse, Moska Aliasi, Felipe Moser, et al.
Neuroimage|September 26, 2020
Learning patterns of the ageing brain in MRI using deep convolutional networksNicola K Dinsdale, Emma Bluemke, Stephen M Smith, et al.
Prenatal Diagnosis|February 27, 2026
Clinical Grading of Artificial Intelligence-Based 3D Fetal Brain Segmentations: A Cross-Vendor Evaluation of Deep Learning in Fetal NeuroimagingMoska Aliasi, Linde S Hesse, Madeleine K Wyburd, et al.
Human Brain Mapping|April 4, 2022
The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjectsErica Balboni, Luca Nocetti, Chiara Carbone, et al.
Human Brain Mapping|October 1, 2025
Cross-Modality Comparison of Fetal Brain Phenotypes: Insights From Short-Interval Second-Trimester MRI and Ultrasound ImagingMadeleine K Wyburd, Nicola K Dinsdale, Vanessa Kyriakopoulou, et al.
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