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Deformably-Scaled Transposed Convolution


Oct 17, 2022
Stefano B. Blumberg, Daniele Raví, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C. Alexander

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An Experiment Design Paradigm using Joint Feature Selection and Task Optimization


Oct 13, 2022
Stefano B. Blumberg, Hongxiang Lin, Yukun Zhou, Paddy Slator, Daniel C. Alexander

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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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An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training


Jun 07, 2022
Daniele Ravi, Frederik Barkhof, Daniel C. Alexander, Geoffrey JM Parker, Arman Eshaghi

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Progressive Subsampling for Oversampled Data -- Application to Quantitative MRI


Apr 08, 2022
Stefano B. Blumberg, Hongxiang Lin, Francesco Grussu, Yukun Zhou, Matteo Figini, Daniel C. Alexander

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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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Ten years of image analysis and machine learning competitions in dementia


Dec 15, 2021
Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby

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* 12 pages, 4 tables 

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