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Training recurrent neural networks robust to incomplete data: Application to Alzheimer’s disease progression modeling
Mehdipour Ghazi, Mostafa, Nielsen, Mads, Pai, Akshay, Cardoso, M. Jorge, Modat, Marc, Ourselin, Sébastien, Sørensen, Lauge
Published in Medical image analysis (01.04.2019)
Published in Medical image analysis (01.04.2019)
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Disease progression modeling‐based prediction of cognitive decline
Ghazi, Mostafa Mehdipour, Sørensen, Lauge, Pai, Akshay, Cardoso, Jorge, Modat, Marc, Ourselin, Sebastien, Nielsen, Mads
Published in Alzheimer's & dementia (01.12.2020)
Published in Alzheimer's & dementia (01.12.2020)
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Dopamine Transporter Neuroimaging as an Enrichment Biomarker in Early Parkinson's Disease Clinical Trials: A Disease Progression Modeling Analysis
Conrado, Daniela J., Nicholas, Timothy, Tsai, Kuenhi, Macha, Sreeraj, Sinha, Vikram, Stone, Julie, Corrigan, Brian, Bani, Massimo, Muglia, Pierandrea, Watson, Ian A., Kern, Volker D., Sheveleva, Elena, Marek, Kenneth, Stephenson, Diane T., Romero, Klaus
Published in Clinical and translational science (01.01.2018)
Published in Clinical and translational science (01.01.2018)
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Progression along data-driven disease timelines is predictive of Alzheimer’s disease in a population-based cohort
Venkatraghavan, Vikram, Vinke, Elisabeth J., Bron, Esther E., Niessen, Wiro J., Ikram, M. Arfan, Klein, Stefan, Vernooij, Meike W.
Published in NeuroImage (Orlando, Fla.) (01.09.2021)
Published in NeuroImage (Orlando, Fla.) (01.09.2021)
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Analyzing the effect of APOE on Alzheimer’s disease progression using an event-based model for stratified populations
Venkatraghavan, Vikram, Klein, Stefan, Fani, Lana, Ham, Leontine S., Vrooman, Henri, Ikram, M. Kamran, Niessen, Wiro J., Bron, Esther E.
Published in NeuroImage (Orlando, Fla.) (15.02.2021)
Published in NeuroImage (Orlando, Fla.) (15.02.2021)
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sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering
Tandon, Raghav, Kirkpatrick, Anna, Mitchell, Cassie S
Published in Information processing in medical imaging : proceedings of the ... conference (01.01.2023)
Published in Information processing in medical imaging : proceedings of the ... conference (01.01.2023)
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Modeling and simulation of the modified Rankin Scale and National Institutes of Health Stroke Scale neurological endpoints in intracerebral hemorrhage
Schoemaker, Rik, Nayak, Satyaprakash, Harnisch, Lutz O., Karlsson, Mats O.
Published in Journal of pharmacokinetics and pharmacodynamics (01.10.2019)
Published in Journal of pharmacokinetics and pharmacodynamics (01.10.2019)
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Training recurrent neural networks robust to incomplete data: application to Alzheimer's disease progression modeling
Ghazi, Mostafa Mehdipour, Nielsen, Mads, Pai, Akshay, Cardoso, M. Jorge, Modat, Marc, Ourselin, Sebastien, Sørensen, Lauge
Year of Publication 17.03.2019
Year of Publication 17.03.2019
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Robust training of recurrent neural networks to handle missing data for disease progression modeling
Ghazi, Mostafa Mehdipour, Nielsen, Mads, Pai, Akshay, Cardoso, M. Jorge, Modat, Marc, Ourselin, Sebastien, Sørensen, Lauge
Year of Publication 16.08.2018
Year of Publication 16.08.2018
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A Discriminative Event Based Model for Alzheimer's Disease Progression Modeling
Venkatraghavan, Vikram, Bron, Esther, Niessen, Wiro, Klein, Stefan
Published in arXiv.org (21.02.2017)
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Published in arXiv.org (21.02.2017)
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Multivariate longitudinal analysis for the association between brain atrophy and cognitive impairment in prodromal Huntington’s disease subjects
Zheng, Cheng, Tong, Lili, Zhang, Ying
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01.01.2024)
Published in Journal of the Royal Statistical Society Series C: Applied Statistics (01.01.2024)
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