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- affiliation: University College London, UK
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2020 – today
- 2022
[j71]Daniele Ravì, Stefano B. Blumberg, Silvia Ingala, Frederik Barkhof, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative adversarial neuroimage nets for brain scan simulations: Application in ageing and dementia. Medical Image Anal. 75: 102257 (2022)- 2021
- [j70]Wing Keung Cheung
, Robert Bell, Arjun Nair, Leon J. Menezes, Riyaz Patel, Simon Wan, Kacy Chou, Jiahang Chen, Ryo Torii, Rhodri H. Davies, James C. Moon, Daniel C. Alexander, Joseph Jacob:
A Computationally Efficient Approach to Segmentation of the Aorta and Coronary Arteries Using Deep Learning. IEEE Access 9: 108873-108888 (2021) - [j69]Damiano Archetti, Alexandra L. Young, Neil P. Oxtoby, Daniel Ferreira, Gustav Mårtensson, Eric Westman, Daniel C. Alexander, Giovanni B. Frisoni, Alberto Redolfi:
Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease. Frontiers Big Data 4: 661110 (2021) - [j68]Peter A. Wijeratne, Eileanoir B. Johnson, Sarah Gregory, Nellie Georgiou-Karistianis, Jane S. Paulsen, Rachael I. Scahill, Sarah J. Tabrizi, Daniel C. Alexander:
A Multi-Study Model-Based Evaluation of the Sequence of Imaging and Clinical Biomarker Changes in Huntington's Disease. Frontiers Big Data 4: 662200 (2021) - [j67]Alexandra L. Young, Jacob W. Vogel, Leon M. Aksman, Peter A. Wijeratne, Arman Eshaghi, Neil P. Oxtoby, Steven C. R. Williams, Daniel C. Alexander:
Ordinal SuStaIn: Subtype and Stage Inference for Clinical Scores, Visual Ratings, and Other Ordinal Data. Frontiers Artif. Intell. 4: 613261 (2021) - [j66]Maura Bellio, Dominic Furniss, Neil P. Oxtoby, Sara Garbarino, Nicholas C. Firth, Annemie Ribbens, Daniel C. Alexander, Ann Blandford:
Opportunities and Barriers for Adoption of a Decision-Support Tool for Alzheimer's Disease. ACM Trans. Comput. Heal. 2(4): 32:1-32:19 (2021) - [j65]Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
Data-Driven multi-Contrast spectral microstructure imaging with InSpect: INtegrated SPECTral component estimation and mapping. Medical Image Anal. 71: 102045 (2021) - [j64]Nonie Alexander, Daniel C. Alexander, Frederik Barkhof, Spiros C. Denaxas:
Identifying and evaluating clinical subtypes of Alzheimer's disease in care electronic health records using unsupervised machine learning. BMC Medical Informatics Decis. Mak. 21(1): 343 (2021) - [j63]Ioana Hill, Marco Palombo, Mathieu D. Santin, Francesca Branzoli, Anne-Charlotte Philippe, Demian Wassermann, Marie-Stephane Aigrot, Bruno Stankoff, Anne Baron-Van Evercooren, Mehdi Felfli, Dominique Langui, Hui Zhang, Stéphane Lehéricy, Alexandra Petiet, Daniel C. Alexander, Olga Ciccarelli, Ivana Drobnjak:
Machine learning based white matter models with permeability: An experimental study in cuprizone treated in-vivo mouse model of axonal demyelination. NeuroImage 224: 117425 (2021) - [j62]Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Uncertainty modelling in deep learning for safer neuroimage enhancement: Demonstration in diffusion MRI. NeuroImage 225: 117366 (2021) - [j61]Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang:
Corrigendum to "SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI" [Neuroimage 215 (2020), 116835]. NeuroImage 226: 117612 (2021) - [j60]Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, R. Gilberto González, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl:
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. NeuroImage 237: 118206 (2021) - [j59]Noemi G. Gyori, Christopher A. Clark, Daniel C. Alexander, Enrico Kaden:
On the potential for mapping apparent neural soma density via a clinically viable diffusion MRI protocol. NeuroImage 239: 118303 (2021) - [j58]Alberto De Luca, Andrada Ianus, Alexander Leemans, Marco Palombo, Noam Shemesh, Hui Zhang, Daniel C. Alexander, Markus Nilsson, Martijn Froeling, Geert Jan Biessels, Mauro Zucchelli, Matteo Frigo, Enes Albay, Sara Sedlar, Abib Alimi, Samuel Deslauriers-Gauthier, Rachid Deriche, Rutger Fick, Maryam Afzali, Tomasz Pieciak, Fabian Bogusz, Santiago Aja-Fernández, Evren Özarslan, Derek K. Jones, Haoze Chen, Mingwu Jin, Zhijie Zhang, Fengxiang Wang, Vishwesh Nath, Prasanna Parvathaneni, Jan Morez, Jan Sijbers, Ben Jeurissen, Shreyas Fadnavis, Stefan Endres, Ariel Rokem, Eleftherios Garyfallidis, Irina Sánchez, Vesna Prchkovska, Paulo Rodrigues, Bennett A. Landman, Kurt G. Schilling:
On the generalizability of diffusion MRI signal representations across acquisition parameters, sequences and tissue types: Chronicles of the MEMENTO challenge. NeuroImage 240: 118367 (2021) - [j57]Andrada Ianus, Daniel C. Alexander, Hui Zhang, Marco Palombo:
Mapping complex cell morphology in the grey matter with double diffusion encoding MR: A simulation study. NeuroImage 241: 118424 (2021) - [j56]Baris Kanber, Jasper M. Morrow, Uros Klickovic, Stephen J. Wastling, Sachit Shah, Pietro Fratta, Amy R. McDowell, Matt G. Hall, Chris A. Clark, Francesco Muntoni, Mary M. Reilly, Michael G. Hanna, Daniel C. Alexander, Tarek A. Yousry, John S. Thornton:
Musclesense: a Trained, Artificial Neural Network for the Anatomical Segmentation of Lower Limb Magnetic Resonance Images in Neuromuscular Diseases. Neuroinformatics 19(2): 379-383 (2021) - [j55]Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias:
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. IEEE Trans. Medical Imaging 40(8): 2053-2065 (2021) - [c87]Panagiotis Barmpoutis, Hamzeh Kayhanian, William Waddingham, Daniel C. Alexander, Marnix Jansen:
Three-dimensional tumour microenvironment reconstruction and tumour-immune interactions' analysis. DICTA 2021: 1-6 - [c86]Peter A. Wijeratne, Daniel C. Alexander:
Learning Transition Times in Event Sequences: The Temporal Event-Based Model of Disease Progression. IPMI 2021: 583-595 - [c85]Hongxiang Lin, Yukun Zhou, Paddy J. Slator, Daniel C. Alexander:
Generalised Super Resolution for Quantitative MRI Using Self-supervised Mixture of Experts. MICCAI (6) 2021: 44-54 - [c84]Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander:
Learning to Address Intra-segment Misclassification in Retinal Imaging. MICCAI (1) 2021: 482-492 - [i29]Loïc Peter, Daniel C. Alexander, Caroline Magnain, Juan Eugenio Iglesias:
Uncertainty-Aware Annotation Protocol to Evaluate Deformable Registration Algorithms. CoRR abs/2104.01217 (2021) - [i28]Yukun Zhou, Moucheng Xu, Yipeng Hu, Hongxiang Lin, Joseph Jacob, Pearse A. Keane, Daniel C. Alexander:
Learning to Address Intra-segment Misclassification in Retinal Imaging. CoRR abs/2104.12138 (2021) - [i27]Chen Jin, Ryutaro Tanno, Thomy Mertzanidou, Eleftheria Panagiotaki, Daniel C. Alexander:
Learning to Downsample for Segmentation of Ultra-High Resolution Images. CoRR abs/2109.11071 (2021) - [i26]Mou-Cheng Xu, Yukun Zhou, Chen Jin, Stefano B. Blumberg, Frederick J. Wilson, Marius de Groot, Neil P. Oxtoby, Daniel C. Alexander, Joseph Jacob:
MisMatch: Learning to Change Predictive Confidences with Attention for Consistency-Based, Semi-Supervised Medical Image Segmentation. CoRR abs/2110.12179 (2021) - [i25]Ashkan Pakzad, Wing Keung Cheung, Kin Quan, Nesrin Mogulkoc, Coline H. M. Van Moorsel, Brian J. Bartholmai, Hendrik W. Van Es, Alper Ezircan, Frouke Van Beek, Marcel Veltkamp, Ronald A. Karwoski, Tobias Peikert, Ryan D. Clay, Finbar Foley, Cassandra Braun, Recep Savas, Carole H. Sudre, Tom Doel, Daniel C. Alexander, Peter A. Wijeratne, David J. Hawkes, Yipeng Hu, John R. Hurst, Joseph Jacob:
Evaluation of automated airway morphological quantification for assessing fibrosing lung disease. CoRR abs/2111.10443 (2021) - [i24]Esther E. Bron, Stefan Klein, Annika Reinke, Janne M. Papma, Lena Maier-Hein, Daniel C. Alexander, Neil P. Oxtoby:
Ten years of image analysis and machine learning competitions in dementia. CoRR abs/2112.07922 (2021) - 2020
- [d1]Yunguan Fu, Nina Montaña Brown, Shaheer U. Saeed, Adrià Casamitjana, Zachary 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:
DeepReg: a deep learning toolkit for medical image registration. J. Open Source Softw. 5(55): 2705 (2020) - [j54]Marco Palombo, Andrada Ianus, Michele Guerreri, Daniel Nunes, Daniel C. Alexander, Noam Shemesh, Hui Zhang:
SANDI: A compartment-based model for non-invasive apparent soma and neurite imaging by diffusion MRI. NeuroImage 215: 116835 (2020) - [j53]Francesco Grussu, Marco Battiston, Jelle Veraart, Torben Schneider, Julien Cohen-Adad, Timothy M. Shepherd, Daniel C. Alexander, Els Fieremans, Dmitry S. Novikov, Claudia A. M. Gandini Wheeler-Kingshott:
Multi-parametric quantitative in vivo spinal cord MRI with unified signal readout and image denoising. NeuroImage 217: 116884 (2020) - [j52]Ross Callaghan, Daniel C. Alexander, Marco Palombo, Hui Zhang:
ConFiG: Contextual Fibre Growth to generate realistic axonal packing for diffusion MRI simulation. NeuroImage 220: 117107 (2020) - [j51]Lipeng Ning, Elisenda Bonet-Carne, Francesco Grussu, Farshid Sepehrband, Enrico Kaden, Jelle Veraart, Stefano B. Blumberg, Can Son Khoo, Marco Palombo, Iasonas Kokkinos, Daniel C. Alexander, Jaume Coll-Font, Benoit Scherrer, Simon K. Warfield, Suheyla Cetin Karayumak, Yogesh Rathi, Simon Koppers, Leon Weninger, Chantal M. W. Tax:
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results. NeuroImage 221: 117128 (2020) - [j50]Minh Nguyen, Tong He, Lijun An, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo:
Predicting Alzheimer's disease progression using deep recurrent neural networks. NeuroImage 222: 117203 (2020) - [j49]Kyriaki Mengoudi, Daniele Ravì, Keir X. X. Yong, Silvia Primativo, Ivanna M. Pavisic, Emilie Brotherhood, Kirsty Lu, Jonathan M. Schott, Sebastian J. Crutch, Daniel C. Alexander:
Augmenting Dementia Cognitive Assessment With Instruction-Less Eye-Tracking Tests. IEEE J. Biomed. Health Informatics 24(11): 3066-3075 (2020) - [c83]Moucheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. BMVC 2020 - [c82]Le Zhang, Ryutaro Tanno, Kevin Bronik, Chen Jin, Parashkev Nachev, Frederik Barkhof, Olga Ciccarelli, Daniel C. Alexander:
Learning to Segment When Experts Disagree. MICCAI (1) 2020: 179-190 - [c81]Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
Data-Driven Multi-contrast Spectral Microstructure Imaging with InSpect. MICCAI (6) 2020: 375-385 - [c80]Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander:
Foveation for Segmentation of Mega-Pixel Histology Images. MICCAI (5) 2020: 561-571 - [c79]Pere Planell-Morell, Madhavi Bajekal, Spiros C. Denaxas, Rosalind Raine, Daniel C. Alexander:
Trajectories of Disease Accumulation Using Electronic Health Records. MIE 2020: 469-473 - [c78]Nonie Alexander, Daniel C. Alexander, Frederik Barkhof, Spiros C. Denaxas:
Using Unsupervised Learning to Identify Clinical Subtypes of Alzheimer's Disease in Electronic Health Records. MIE 2020: 499-503 - [c77]Le Zhang, Ryutaro Tanno, Moucheng Xu, Chen Jin, Joseph Jacob, Olga Cicarrelli, Frederik Barkhof, Daniel C. Alexander:
Disentangling Human Error from Ground Truth in Segmentation of Medical Images. NeurIPS 2020 - [i23]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:
Image Quality Transfer Enhances Contrast and Resolution of Low-Field Brain MRI in African Paediatric Epilepsy Patients. CoRR abs/2003.07216 (2020) - [i22]Chen Jin, Ryutaro Tanno, Moucheng Xu, Thomy Mertzanidou, Daniel C. Alexander:
Foveation for Segmentation of Ultra-High Resolution Images. CoRR abs/2007.15124 (2020) - [i21]Mou-Cheng Xu, Neil Oxtoby, Daniel C. Alexander, Joseph Jacob:
Learning To Pay Attention To Mistakes. CoRR abs/2007.15131 (2020) - [i20]Le Zhang, Ryutaro Tanno, Mou-Cheng Xu, Chen Jin, Joseph Jacob, Olga Ciccarelli, Frederik Barkhof, Daniel C. Alexander:
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images. CoRR abs/2007.15963 (2020) - [i19]Peter A. Wijeratne, Daniel C. Alexander:
Learning transition times in event sequences: the Event-Based Hidden Markov Model of disease progression. CoRR abs/2011.01023 (2020) - [i18]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:
DeepReg: a deep learning toolkit for medical image registration. CoRR abs/2011.02580 (2020) - [i17]Juan Eugenio Iglesias, Benjamin Billot, Yaël Balbastre, Azadeh Tabari, John Conklin, Daniel C. Alexander, Polina Golland, Brian L. Edlow, Bruce Fischl:
Joint super-resolution and synthesis of 1 mm isotropic MP-RAGE volumes from clinical MRI exams with scans of different orientation, resolution and contrast. CoRR abs/2012.13340 (2020)
2010 – 2019
- 2019
- [j48]Dafnis Batalle, Jonathan O'Muircheartaigh, Antonios Makropoulos, Christopher J. Kelly, Ralica Dimitrova, Emer J. Hughes, Joseph V. Hajnal, Hui Zhang, Daniel C. Alexander, A. David Edwards, Serena J. Counsell:
Different patterns of cortical maturation before and after 38 weeks gestational age demonstrated by diffusion MRI in vivo. NeuroImage 185: 764-775 (2019) - [j47]Marco Palombo, Daniel C. Alexander, Hui Zhang:
A generative model of realistic brain cells with application to numerical simulation of the diffusion-weighted MR signal. NeuroImage 188: 391-402 (2019) - [j46]Marco Lorenzi, Maurizio Filippone, Giovanni B. Frisoni, Daniel C. Alexander, Sébastien Ourselin:
Probabilistic disease progression modeling to characterize diagnostic uncertainty: Application to staging and prediction in Alzheimer's disease. NeuroImage 190: 56-68 (2019) - [j45]Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander:
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. NeuroImage 192: 166-177 (2019) - [j44]Chantal M. W. Tax, Francesco Grussu, Enrico Kaden, Lipeng Ning, S. Umesh Rudrapatna, C. John Evans, Samuel St-Jean, Alexander Leemans, Simon Koppers, Dorit Merhof, Aurobrata Ghosh, Ryutaro Tanno, Daniel C. Alexander, Stefano Zappalà, Cyril Charron, Slawomir Kusmia, David E. J. Linden, Derek K. Jones, Jelle Veraart:
Cross-scanner and cross-protocol diffusion MRI data harmonisation: A benchmark database and evaluation of algorithms. NeuroImage 195: 285-299 (2019) - [c76]Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman:
Learning From Noisy Labels by Regularized Estimation of Annotator Confusion. CVPR 2019: 11244-11253 - [c75]Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, Manuel Jorge Cardoso:
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. ICCV 2019: 1385-1394 - [c74]Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori:
Adaptive Neural Trees. ICML 2019: 6166-6175 - [c73]Ross Callaghan, Daniel C. Alexander, Hui Zhang, Marco Palombo:
Contextual Fibre Growth to Generate Realistic Axonal Packing for Diffusion MRI Simulation. IPMI 2019: 429-440 - [c72]Paddy J. Slator, Jana Hutter, Razvan V. Marinescu, Marco Palombo, Alexandra L. Young, Laurence H. Jackson, Alison Ho, Lucy C. Chappell, Mary A. Rutherford, Joseph V. Hajnal, Daniel C. Alexander:
InSpect: INtegrated SPECTral Component Estimation and Mapping for Multi-contrast Microstructural MRI. IPMI 2019: 755-766 - [c71]Razvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner, Frederik Barkhof, Nick C. Fox, Polina Golland, Stefan Klein, Daniel C. Alexander:
TADPOLE Challenge: Accurate Alzheimer's Disease Prediction Through Crowdsourced Forecasting of Future Data. PRIME@MICCAI 2019: 1-10 - [c70]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:
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. MLMIR@MICCAI 2019: 58-70 - [c69]Razvan V. Marinescu, Arman Eshaghi, Daniel C. Alexander, Polina Golland:
BrainPainter: A Software for the Visualisation of Brain Structures, Biomarkers and Associated Pathological Processes. MBIA/MFCA@MICCAI 2019: 112-120 - [c68]Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. MICCAI (3) 2019: 164-172 - [c67]Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso:
Learning Task-Specific and Shared Representations in Medical Imaging. MICCAI (4) 2019: 374-383 - [c66]Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander:
Multi-stage Prediction Networks for Data Harmonization. MICCAI (4) 2019: 411-419 - [c65]Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere Planell-Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Polina Golland, Daniel C. Alexander:
Disease Knowledge Transfer Across Neurodegenerative Diseases. MICCAI (2) 2019: 860-868 - [i16]Razvan V. Marinescu, Marco Lorenzi, Stefano B. Blumberg, Alexandra L. Young, Pere P. Morell, Neil P. Oxtoby, Arman Eshaghi, Keir X. Yong, Sebastian J. Crutch, Daniel C. Alexander:
Disease Knowledge Transfer across Neurodegenerative Diseases. CoRR abs/1901.03517 (2019) - [i15]Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Sebastian J. Crutch, Daniel C. Alexander:
DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders. CoRR abs/1901.03553 (2019) - [i14]Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman:
Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion. CoRR abs/1902.03680 (2019) - [i13]Razvan V. Marinescu, Daniel C. Alexander, Polina Golland:
BrainPainter: A software for the visualisation of brain structures, biomarkers and associated pathological processes. CoRR abs/1905.08627 (2019) - [i12]Daniele Ravì, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets: Generating Images that Mimic Disease Progression. CoRR abs/1907.02787 (2019) - [i11]Stefano B. Blumberg, Marco Palombo, Can Son Khoo, Chantal M. W. Tax, Ryutaro Tanno, Daniel C. Alexander:
Multi-Stage Prediction Networks for Data Harmonization. CoRR abs/1907.11629 (2019) - [i10]Ryutaro Tanno, Daniel E. Worrall, Enrico Kaden, Aurobrata Ghosh, Francesco Grussu, Alberto Bizzi, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement. CoRR abs/1907.13418 (2019) - [i9]Felix J. S. Bragman, Ryutaro Tanno, Sébastien Ourselin, Daniel C. Alexander, M. Jorge Cardoso:
Stochastic Filter Groups for Multi-Task CNNs: Learning Specialist and Generalist Convolution Kernels. CoRR abs/1908.09597 (2019) - [i8]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:
Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator. CoRR abs/1909.06763 (2019) - [i7]Daniele Ravì, Stefano B. Blumberg, Daniel C. Alexander, Neil P. Oxtoby:
Degenerative Adversarial NeuroImage Nets for 3D Simulations: Application in Longitudinal MRI. CoRR abs/1912.01526 (2019) - 2018
- [j43]Fidel Alfaro-Almagro, Mark Jenkinson, Neal K. Bangerter, Jesper L. R. Andersson, Ludovica Griffanti, Gwenaëlle Douaud, Stamatios N. Sotiropoulos, Saâd Jbabdi, Moisés Hernández-Fernández, Emmanuel Vallée, Diego Vidaurre, Matthew A. Webster, Paul McCarthy, Christopher Rorden, Alessandro Daducci, Daniel C. Alexander, Hui Zhang, Iulius Dragonu, Paul M. Matthews, Karla L. Miller, Stephen M. Smith:
Image processing and Quality Control for the first 10, 000 brain imaging datasets from UK Biobank. NeuroImage 166: 400-424 (2018) - [j42]Kathryn L. West, Nathaniel D. Kelm, Robert P. Carson, Daniel C. Alexander, Daniel F. Gochberg, Mark D. Does:
Experimental studies of g-ratio MRI in ex vivo mouse brain. NeuroImage 167: 366-371 (2018) - [j41]Nikola Stikov, Daniel C. Alexander, G. Bruce Pike:
Neuroimage special issue on microstructure - Editorial. NeuroImage 182: 1-2 (2018) - [j40]Derek K. Jones, Daniel C. Alexander, Richard Bowtell, Mara Cercignani, Flavio Dell'Acqua, Damien J. McHugh, Karla L. Miller, Marco Palombo, Geoffrey J. M. Parker, S. Umesh Rudrapatna, Chantal M. W. Tax:
Microstructural imaging of the human brain with a 'super-scanner': 10 key advantages of ultra-strong gradients for diffusion MRI. NeuroImage 182: 8-38 (2018) - [j39]Tharindu Ganepola, Zoltán Nagy, Aurobrata Ghosh, Théodore Papadopoulo, Daniel C. Alexander, Martin I. Sereno:
Using diffusion MRI to discriminate areas of cortical grey matter. NeuroImage 182: 456-468 (2018) - [j38]Andrada Ianus, Sune Nørhøj Jespersen, Teresa Serradas Duarte, Daniel C. Alexander, Ivana Drobnjak, Noam Shemesh:
Accurate estimation of microscopic diffusion anisotropy and its time dependence in the mouse brain. NeuroImage 183: 934-949 (2018) - [j37]Marco Lorenzi, André Altmann, Boris Gutman, Selina Wray, Charles Arber, Derrek P. Hibar, Neda Jahanshad, Jonathan M. Schott, Daniel C. Alexander, Paul M. Thompson, Sébastien Ourselin:
Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease, evidence from functional prioritization in imaging genetics. Proc. Natl. Acad. Sci. USA 115(12): 3162-3167 (2018) - [c64]Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso:
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. MICCAI (4) 2018: 3-11 - [c63]Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander:
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. MICCAI (1) 2018: 118-125 - [c62]Minh Nguyen, Nanbo Sun, Daniel C. Alexander, Jiashi Feng, B. T. Thomas Yeo:
Modeling Alzheimer's disease progression using deep recurrent neural networks. PRNI 2018: 1-4 - [i6]Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li, David J. Hawkes, Sébastien Ourselin, Daniel C. Alexander, Jamie R. McClelland, M. Jorge Cardoso:
Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning. CoRR abs/1806.06595 (2018) - [i5]Marco Palombo, Daniel C. Alexander, Hui Zhang:
A generative model of realistic brain cells with application to numerical simulation of diffusion-weighted MR signal. CoRR abs/1806.07125 (2018) - [i4]Ryutaro Tanno, Kai Arulkumaran, Daniel C. Alexander, Antonio Criminisi, Aditya V. Nori:
Adaptive Neural Trees. CoRR abs/1807.06699 (2018) - [i3]Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander:
Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images. CoRR abs/1808.05577 (2018) - 2017
- [j36]Dafnis Batalle, Emer J. Hughes, Hui Zhang, Jacques-Donald Tournier, Nora Tusor, Paul Aljabar, Luqman Wali, Daniel C. Alexander, Joseph V. Hajnal, Chiara Nosarti, A. David Edwards, Serena J. Counsell:
Early development of structural networks and the impact of prematurity on brain connectivity. NeuroImage 149: 379-392 (2017) - [j35]Gemma L. Nedjati-Gilani, Torben Schneider, Matt G. Hall, Niamh Cawley, Ioana Hill, Olga Ciccarelli, Ivana Drobnjak, Claudia A. M. Gandini Wheeler-Kingshott, Daniel C. Alexander:
Machine learning based compartment models with permeability for white matter microstructure imaging. NeuroImage 150: 119-135 (2017) - [j34]Daniel C. Alexander, Darko Zikic, Aurobrata Ghosh, Ryutaro Tanno, Viktor Wottschel, Jiaying Zhang, Enrico Kaden, Tim B. Dyrby, Stamatios N. Sotiropoulos, Hui Zhang, Antonio Criminisi:
Image quality transfer and applications in diffusion MRI. NeuroImage 152: 283-298 (2017) - [j33]Diliana Pecheva, Paul A. Yushkevich, Dafnis Batalle, Emer J. Hughes, Paul Aljabar, Julia Wurie, Joseph V. Hajnal, A. David Edwards, Daniel C. Alexander, Serena J. Counsell, Hui Zhang:
A tract-specific approach to assessing white matter in preterm infants. NeuroImage 157: 675-694 (2017) - [j32]Matteo Bastiani, Michiel Cottaar, Krikor Dikranian, Aurobrata Ghosh, Hui Zhang, Daniel C. Alexander, Tim E. J. Behrens, Saâd Jbabdi, Stamatios N. Sotiropoulos:
Improved tractography using asymmetric fibre orientation distributions. NeuroImage 158: 205-218 (2017) - [c61]Razvan V. Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino, Timothy J. Shakespeare, Sebastian J. Crutch, Daniel C. Alexander:
A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images. IPMI 2017: 134-145 - [c60]Joseph G. Jacobs, Gabriel J. Brostow, Alex Freeman, Daniel C. Alexander, Eleftheria Panagiotaki:
Detecting and Classifying Nuclei on a Budget. CVII-STENT/LABELS@MICCAI 2017: 77-86 - [c59]Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. MICCAI (1) 2017: 611-619 - [i2]Ryutaro Tanno, Daniel E. Worrall, Aurobrata Ghosh, Enrico Kaden, Stamatios N. Sotiropoulos, Antonio Criminisi, Daniel C. Alexander:
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution. CoRR abs/1705.00664 (2017) - [i1]Nicholas C. Firth, Emma Harding, Mary Pat Sullivan, Sebastian J. Crutch, Daniel C. Alexander:
ESCAPE - Echo SCraper and ClAssifier of PErsons: A novel tool to facilitate using voice-controlled devices for research. CoRR abs/1706.06176 (2017) - 2016
- [j31]Niall Colgan, Bernard Siow, James M. O'Callaghan, Ian F. Harrison, Jack A. Wells, Holly E. Holmes, Ozama Ismail, S. Richardson, Daniel C. Alexander, Emily C. Collins, Elizabeth M. C. Fisher, Ross A. Johnson, Adam J. Schwarz, Zeshan Ahmed, Michael J. O'Neill, Tracey K. Murray, Hui Zhang, Mark F. Lythgoe:
Application of neurite orientation dispersion and density imaging (NODDI) to a tau pathology model of Alzheimer's disease. NeuroImage 125: 739-744 (2016) - [j30]Maira Tariq, Torben Schneider, Daniel C. Alexander, Claudia A. M. Wheeler-Kingshott, Hui Zhang:
Bingham-NODDI: Mapping anisotropic orientation dispersion of neurites using diffusion MRI. NeuroImage 133: 207-223 (2016) - [j29]Enrico Kaden, Nathaniel D. Kelm, Robert P. Carson, Mark D. Does, Daniel C. Alexander:
Multi-compartment microscopic diffusion imaging. NeuroImage 139: 346-359 (2016) - [c58]Andrada Ianus, Daniel C. Alexander, Ivana Drobnjak:
Microstructure Imaging Sequence Simulation Toolbox. SASHIMI@MICCAI 2016: 34-44 - [c57]Ryutaro Tanno, Aurobrata Ghosh, Francesco Grussu, Enrico Kaden, Antonio Criminisi, Daniel C. Alexander:
Bayesian Image Quality Transfer. MICCAI (2) 2016: 265-273 - 2015
- [j28]Alexandra L. Young, Neil P. Oxtoby, Sébastien Ourselin, Jonathan M. Schott, Daniel C. Alexander:
A simulation system for biomarker evolution in neurodegenerative disease. Medical Image Anal. 26(1): 47-56 (2015) - [j27]Alessandro Daducci, Erick Jorge Canales-Rodríguez, Hui Zhang, Tim B. Dyrby, Daniel C. Alexander, Jean-Philippe Thiran:
Accelerated Microstructure Imaging via Convex Optimization (AMICO) from diffusion MRI data. NeuroImage 105: 32-44 (2015) - [j26]