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Daniel C. Alexander

Fitting a Directional Microstructure Model to Diffusion-Relaxation MRI Data with Self-Supervised Machine Learning

Oct 05, 2022
Jason P. Lim, Stefano B. Blumberg, Neil Narayan, Sean C. Epstein, Daniel C. Alexander, Marco Palombo, Paddy J. Slator

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* Oral Presentation in: Computational Diffusion MRI Workshop (CDMRI) at Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022

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Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised Segmentation

Aug 08, 2022
Mou-Cheng Xu, Yukun Zhou, Chen Jin, Marius de Groot, Daniel C. Alexander, Neil P. Oxtoby, Yipeng Hu, Joseph Jacob

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* MICCAI 2022 (Early accept, Student Travel Award)

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Learning Morphological Feature Perturbations for Calibrated Semi-Supervised Segmentation

Apr 01, 2022
Mou-Cheng Xu, Yu-Kun Zhou, Chen Jin, Stefano B Blumberg, Frederick J Wilson, Marius deGroot, Daniel C. Alexander, Neil P. Oxtoby, Joseph Jacob

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* To appear at Conference on Medical Imaging with Deep Learning (MIDL) 2022. arXiv admin note: text overlap with arXiv:2110.12179

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Survival Analysis for Idiopathic Pulmonary Fibrosis using CT Images and Incomplete Clinical Data

Mar 21, 2022
Ahmed H. Shahin, Joseph Jacob, Daniel C. Alexander, David Barber

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* Accepted as a full paper at the Medical Imaging with Deep Learning conference (MIDL 2022)

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VAFO-Loss: VAscular Feature Optimised Loss Function for Retinal Artery/Vein Segmentation

Mar 12, 2022
Yukun Zhou, Moucheng Xu, Yipeng Hu, Stefano B. Blumberg, An Zhao, Siegfried K. Wagner, Pearse A. Keane, Daniel C. Alexander

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* 13 pages, 6 figures, 3 tables

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