Alexander, Daniel C.

An Introduction to Computational Diffusion MRI: the Diffusion Tensor and Beyond

Alexander, D. C. (2006) · Mathematics and Visualization

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 70

The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up

Marinescu, R. V., Oxtoby, N. P., Young, A. L., Bron, E. E., Toga, A. W., Weiner, M. W., Barkhof, F., Fox, N. C., Eshaghi, A., Toni, T., et al. (2021) · Machine Learning for Biomedical Imaging

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 68

Reduced neurite density in the brain and cervical spinal cord in relapsing–remitting multiple sclerosis: A NODDI study

Collorone, S., Cawley, N., Grussu, F., Prados, F., Tona, F., Calvi, A., Kanber, B., Schneider, T., Kipp, L., Zhang, H., et al. (2020) · Multiple Sclerosis Journal

Multiple Sclerosis Research StudiesAdvanced Neuroimaging Techniques and Applications

Cited by 64

Characterizing the Clinical Features and Atrophy Patterns of MAPT -Related Frontotemporal Dementia With Disease Progression Modeling

Young, A. L., Bocchetta, M., Russell, L. L., Convery, R. S., Peakman, G., Todd, E., Cash, D. M., Greaves, C. V., van Swieten, J., Jiskoot, L., et al. (2021) · Neurology

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 62

A tract-specific approach to assessing white matter in preterm infants

Pecheva, D., Yushkevich, P., Batalle, D., Hughes, E., Aljabar, P., Wurie, J., Hajnal, J. V., Edwards, A. D., Alexander, D. C., Counsell, S. J., et al. (2017) · NeuroImage

Advanced Neuroimaging Techniques and ApplicationsFunctional Brain Connectivity Studies

Cited by 33

Uncertainty Quantification in Deep Learning for Safer Neuroimage Enhancement

Tanno, R., Worrall, D., Kaden, E., Ghosh, A., Grussu, F., Bizzi, A., Sotiropoulos, S. N., Criminisi, A., & Alexander, D. C. (2019) · arXiv

Advanced Image Processing TechniquesImage and Signal Denoising Methods

Cited by 30

Viable and fixed white matter: diffusion magnetic resonance comparisons and contrasts at physiological temperature

Richardson, S., Siow, B., Panagiotaki, E., Schneider, T., Lythgoe, M. F., & Alexander, D. C. (2014) · Magnetic Resonance in Medicine

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 27

A framework for optimal whole-sample histological quantification of neurite orientation dispersion in the human spinal cord

Grussu, F., Schneider, T., Yates, R. L., Zhang, H., Wheeler-Kingshott, C. A. M. G., DeLuca, G. C., & Alexander, D. C. (2016) · Journal of Neuroscience Methods

Advanced Neuroimaging Techniques and ApplicationsAdvanced MRI Techniques and Applications

Cited by 26

Towards cascading genetic risk in Alzheimer’s disease

Altmann, A., Aksman, L. M., Oxtoby, N. P., Young, A. L., ADNI, Weiner, M., Aisen, P., Petersen, R., Weiner, M., Aisen, P., et al. (2024) · Brain

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 18

Ten years of image analysis and machine learning competitions in dementia

Bron, E. E., Klein, S., Reinke, A., Papma, J. M., Maier-Hein, L., Alexander, D. C., & Oxtoby, N. P. (2022) · NeuroImage

Dementia and Cognitive Impairment ResearchArtificial Intelligence in Healthcare

Cited by 17

Targeted screening for Alzheimer’s disease clinical trials using data-driven disease progression models

Oxtoby, N. P., Shand, C., Cash, D. M., Alexander, D. C., & Barkhof, F. (2022) · Frontiers in Artificial Intelligence

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 14

O2‐05‐01: A DATA‐DRIVEN MODEL OF BIOMARKER CHANGES IN SPORADIC ALZHEIMER'S DISEASE

Young, A. L., Oxtoby, N. P., Daga, P., Cash, D. M., Fox, N., Ourselin, S., Schott, J. M., & Alexander, D. C. (2014) · Alzheimer's & Dementia

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 2