Daniel C Alexander
Journals
- Brain Latent Progression Individual-based spatiotemporal disease progression on 3D Brain MRIs via latent diffusion. Lemuel Puglisi, Daniel C Alexander, Daniele Ravì, Alzheimer’s Disease Neuroimaging Initiative. Medical image analysis. (2025)
- CoCoLIT ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis. Alec Sargood, Lemuel Puglisi, James H Cole, Neil P Oxtoby, Daniele Ravì, Daniel C Alexander. arXiv preprint arXiv:2508.01292. (2025)
- An efficient semi-supervised quality control system trained using physics-based MRI-artefact generators and adversarial training. Daniele Ravi, Frederik Barkhof, Daniel C Alexander, Lemuel Puglisi, Geoffrey JM Parker, Arman Eshaghi, Alzheimer’s Disease Neuroimaging Initiative. Medical Image Analysis. (2024)
- DeepBrainPrint A Novel Contrastive Framework for Brain MRI Re-Identification. Lemuel Puglisi, Frederik Barkhof, Daniel C Alexander, Geoffrey JM Parker, Arman Eshaghi, Daniele Ravì. Proceedings of Machine Learning Research (MIDL 2023). (2023)
- Deformably-scaled transposed convolution. Stefano B Blumberg, Daniele Raví, Mou-Cheng Xu, Matteo Figini, Iasonas Kokkinos, Daniel C Alexander. arXiv preprint arXiv:2210.09446. (2022)
- Augmenting cognitive assessment with instruction‐less Eye‐tracking tests A machine learning approach for detecting abnormal oculomotor biomarkers Mapping dementia Technological methods to identify and interpret cognitive function. Kyriaki Mengoudi, Daniele Ravi, Keir XX Yong, Silvia Primativo, Ivanna M Pavisic, Emilie V Brotherhood, Kirsty Lu, Jonathan M Schott, Sebastian J Crutch, Daniel C Alexander. Alzheimer's & Dementia. (2020)
- Augmenting Dementia Cognitive Assessment with Instruction-less Eye-tracking Tests. Kyriaki Mengoudi, Daniele Ravi', Keir XX Yong, Silvia Primativo, Ivanna Pavisic, Emilie Brotherhood, Kirsty Lu, Jonathan M Schott, Sebastian J Crutch, Daniel C Alexander. IEEE Journal of Biomedical and Health Informatics. (2020)
Conference Proceedings
- Deep Learning Experimental Design for Quantitative Parameter Mapping. Paddy J Slator, Stefano B Blumberg, Hongxiang Lin, Oliver Slumbers, Daniele Ravi, Yukun Zhou, Elizabeth Powell, Matteo Figini, Daniel C Alexander. (2025)
- Enhancing spatiotemporal disease progression models via latent diffusion and prior knowledge. Lemuel Puglisi, Daniel C Alexander, Daniele Ravì. (2024)
- Classification of benign and malignant lymph nodes based on ex-vivo diffusion MRI data. Andrada Ianus, Inês Santiago, Daniele Ravi, Celso Matos, Daniel C Alexander, Noam Shemesh. (2019)
- Current applications and future promises of machine learning in diffusion mri. Daniele Ravi, Nooshin Ghavami, Daniel C Alexander, Andrada Ianus. (2019)
- Degenerative adversarial neuroimage nets generating images that mimic disease progression. Daniele Ravi, Daniel C Alexander, Neil P Oxtoby, Alzheimer’s Disease Neuroimaging Initiative. (2019)