Irina Rachisky

发表

Predicting Alzheimer’s disease progression using multi-modal deep learning approach

Sterling C. Johnson, David T. Jones, Nick C Fox, 2019, Scientific Reports.

A semi-mechanism approach based on MRI and proteomics for prediction of conversion from mild cognitive impairment to Alzheimer’s disease

Sterling C. Johnson, David T. Jones, Nick C Fox, 2016, Scientific Reports.

Author Correction: Multimodal hippocampal subfield grading for Alzheimer’s disease classification

Norbert Schuff, Michael W. Weiner, Robert C. Green, 2020, Scientific Reports.

18F-florbetapir Positron Emission Tomography–determined Cerebral &bgr;-Amyloid Deposition and Neurocognitive Performance after Cardiac Surgery

David T. Jones, Keith A. Johnson, Jeffrey N. Browndyke, 2018, Anesthesiology.

Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization

Keith A. Johnson, Raymond Scott Turner, Joanne L. Lord, 2021, Scientific Reports.

The impact of PICALM genetic variations on reserve capacity of posterior cingulate in AD continuum

Sterling C. Johnson, Keith A. Johnson, Joanne L. Lord, 2016, Scientific Reports.

Effect of CR1 Genetic Variants on Cerebrospinal Fluid and Neuroimaging Biomarkers in Healthy, Mild Cognitive Impairment and Alzheimer's Disease Cohorts

Keith A. Johnson, Joanne L. Lord, Colleen S. Albers, 2016, Molecular Neurobiology.

Genome-wide association analysis of hippocampal volume identifies enrichment of neurogenesis-related pathways

Keith A. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2016, Scientific Reports.

Mining Outcome-relevant Brain Imaging Genetic Associations via Three-way Sparse Canonical Correlation Analysis in Alzheimer’s Disease

Michael W. Weiner, Robert C. Green, Shannon L. Risacher, 2017, Scientific Reports.

Predicting Alzheimer’s disease progression using multi-modal deep learning approach

Keith A. Johnson, Sherye A. Sirrel, Alice D. Brown, 2019, Scientific Reports.

Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

Andrew J. Saykin, Arthur W. Toga, Qianjin Feng, 2017, Scientific Reports.

Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer’s disease cohorts

Keith A. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2016, Scientific Reports.

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer’s Disease using structural MR and FDG-PET images

Adrian Preda, Evan Fletcher, Godfrey Pearlson, 2018, Scientific Reports.

Regional Amyloid-β Load and White Matter Abnormalities Contribute to Hypometabolism in Alzheimer’s Dementia

Sterling C. Johnson, Keith A. Johnson, Charles D. Smith, 2018, Molecular Neurobiology.

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

Norbert Schuff, Michael W. Weiner, Robert C. Green, 2019, Scientific Reports.

Dissection of the polygenic architecture of neuronal Aβ production using a large sample of individual iPSC lines derived from Alzheimer’s disease patients

Keith A. Johnson, Raymond Scott Turner, Charles D. Smith, 2022, Nature Aging.

Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features

Adrian Preda, Evan Fletcher, Charles DeCarli, 2017, Scientific Reports.

Brain multiplexes reveal morphological connectional biomarkers fingerprinting late brain dementia states

Islem Rekik, Mohamed Ali Mahjoub, Keith A. Johnson, 2018, Scientific Reports.

Predicting Short-term MCI-to-AD Progression Using Imaging, CSF, Genetic Factors, Cognitive Resilience, and Demographics

Keith A. Johnson, Michael W. Paul Ronald Clifford R. Andrew J. William John Weiner Aisen Petersen Jack Saykin Jagust , Sherye A. Sirrel, 2019, Scientific Reports.

Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

György J. Simon, David T. Jones, Keith A. Johnson, 2020, Scientific Reports.

A telescope GWAS analysis strategy, based on SNPs-genes-pathways ensamble and on multivariate algorithms, to characterize late onset Alzheimer’s disease

Sterling C. Johnson, Keith A. Johnson, Sherye A. Sirrel, 2020, Scientific Reports.

Multimodal and Multiscale Deep Neural Networks for the Early Diagnosis of Alzheimer's Disease using structural MR and FDG-PET images

Sterling C. Johnson, Mirza Faisal Beg, Karteek Popuri, 2017, ArXiv.

18F-florbetapir Positron Emission Tomography-determined Cerebral β-Amyloid Deposition and Neurocognitive Performance after Cardiac Surgery.

Sterling C. Johnson, David T. Jones, Keith A. Johnson, 2018, Anesthesiology.

Challenges and Opportunities with Causal Discovery Algorithms: Application to Alzheimer’s Pathophysiology

Norbert Schuff, Michael W. Weiner, Andrew J. Saykin, 2020, Scientific Reports.

Genome-wide association analysis of hippocampal volume identifies enrichment of neurogenesis-related pathways

John X. Morris, Keith A. Johnson, Raymond Scott Turner, 2019, Scientific Reports.

GenEpi: gene-based epistasis discovery using machine learning

Michael W. Weiner, Yen-Jen Oyang, Arthur W. Toga, 2018, BMC Bioinformatics.

Predicting Short-term Progression Using Imaging, Factors, and Demographics.

Hosein, Mauricio, M. Mintun, 2019 .

A blood-based signature of cerebrospinal fluid Aβ1–42 status

John X. Morris, Keith A. Johnson, Raymond Scott Turner, 2019, Scientific Reports.

Dissection of the polygenic architecture of neuronal Aβ production using a large sample of individual iPSC lines derived from Alzheimer’s disease patients

Sterling C. Johnson, Keith A. Johnson, Raymond Scott Turner, 2022, Nature Aging.

Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer’s disease cohorts

Sterling C. Johnson, Raymond Scott Turner, Sherye A. Sirrel, 2016, Scientific Reports.

A blood-based signature of cerebrospinal fluid Aβ1–42 status

Raymond Scott Turner, Sherye A. Sirrel, Alice D. Brown, 2019, Scientific Reports.

Polygenic effects on the risk of Alzheimer’s disease in the Japanese population

Raymond Scott Turner, Sherye A. Sirrel, Alice D. Brown, 2024, Alzheimer's research & therapy.