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Daniel C. Alexander

Centre for Medical Image Computing and Department of Computer Science - University College London - UK

Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms


Apr 02, 2021
Loic Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias

* Accepted at IEEE Transactions on Medical Imaging 

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Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast


Dec 24, 2020
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl


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DeepReg: a deep learning toolkit for medical image registration


Nov 04, 2020
Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary M. C. Baum, Rémi Delaunay, Qianye Yang, Alexander Grimwood, Zhe Min, Stefano B. Blumberg, Juan Eugenio Iglesias, Dean C. Barratt, Ester Bonmati, Daniel C. Alexander, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu

* Accepted in The Journal of Open Source Software (JOSS) 

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Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression


Nov 02, 2020
Peter A. Wijeratne, Daniel C. Alexander

* Machine Learning for Health (ML4H) at NeurIPS 2020 - Extended Abstract 

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Learning To Pay Attention To Mistakes


Aug 07, 2020
Mou-Cheng Xu, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob

* Accepted at BMVC 2020 

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Disentangling Human Error from the Ground Truth in Segmentation of Medical Images


Aug 06, 2020
Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander


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Foveation for Segmentation of Ultra-High Resolution Images


Jul 31, 2020
Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander

* 22 pages, 15 figures, corrected metadata 

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Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients


Mar 18, 2020
Matteo Figini, Hongxiang Lin, Godwin Ogbole, Felice D Arco, Stefano B. Blumberg, David W. Carmichael, Ryutaro Tanno, Enrico Kaden, Biobele J. Brown, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander

* 6 pages, 3 figures, accepted at ICLR 2020 workshop on Artificial Intelligence for Affordable Healthcare 

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Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI


Dec 03, 2019
Daniele Ravi, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby


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Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator


Sep 15, 2019
Hongxiang Lin, Matteo Figini, Ryutaro Tanno, Stefano B. Blumberg, Enrico Kaden, Godwin Ogbole, Biobele J. Brown, Felice D'Arco, David W. Carmichael, Ikeoluwa Lagunju, Helen J. Cross, Delmiro Fernandez-Reyes, Daniel C. Alexander


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Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels


Aug 26, 2019
Felix J. S. Bragman, Ryutaro Tanno, Sebastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso

* Accepted for oral presentation at ICCV 2019 

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Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement


Jul 31, 2019
Ryutaro Tanno, Daniel Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander


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Multi-Stage Prediction Networks for Data Harmonization


Jul 26, 2019
Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander

* Accepted In Medical Image Computing and Computer Assisted Intervention (MICCAI) 2019 

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Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression


Jul 05, 2019
Daniele Ravi, Daniel C. Alexander, Neil P. Oxtoby

* Paper accepted for MICCAI 2019 

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Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion


Feb 10, 2019
Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman

* 13 pages 

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DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders


Jan 11, 2019
Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander

* 24 pages, 5 figures, 2 tables, 1 algorithm 

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Disease Knowledge Transfer across Neurodegenerative Diseases


Jan 11, 2019
Razvan V. Marinescu, Marco Lorenzi, Stefano Blumberg, Alexandra L. Young, Pere P. Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Daniel C. Alexander

* IPMI 2019 submission, 13 pages, 5 figures, 2 tables 

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Adaptive Neural Trees


Oct 07, 2018
Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya Nori


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Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images


Aug 16, 2018
Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander

* Accepted in: MICCAI 2018 

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Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning


Jun 18, 2018
Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sebastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso

* Early-accept at MICCAI 2018, 8 pages, 4 figures 

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Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution


May 30, 2017
Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander

* Accepted paper at MICCAI 2017 

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