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Venkatraghavan, Vikram
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1

Cerebrospinal fluid proteomics in patients with Alzheimer's..:

Tijms, Betty M. ; Vromen, Ellen M. ; Mjaavatten, Olav...
Nature Aging.  4 (2024)  1 - p. 33-47 , 2024
Link: https://doi.org/10.1038/..
 
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2

A discriminative event‐based model for subtype diagnosis of..:

Venkatraghavan, Vikram ; Pascuzzo, Riccardo ; Bron, Esther E....
Alzheimer's & Dementia.  19 (2023)  8 - p. 3261-3271 , 2023
Link: https://doi.org/10.1002/..
 
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3

Computer-Aided Diagnosis and Prediction in Brain Disorders:

, In: Machine Learning for Brain Disorders; Neuromethods,
Venkatraghavan, Vikram ; Voort, Sebastian R. van der ; Bos, Daniel... - p. 459-490 , 2023
Link: https://doi.org/10.1007/..
 
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4

Data‐driven analysis of most common neurodegenerative demen..:

Venkatraghavan, Vikram ; Bocancea, Diana I. ; den Braber, Anouk...
Alzheimer's & Dementia.  19 (2023)  S17 - p. , 2023
Link: https://doi.org/10.1002/..
 
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5

Early detection of Alzheimer's disease subtypes in Amsterda..:

Venkatraghavan, Vikram ; Kate, Mara ten ; Pijnenburg, Yolande A.L....
Alzheimer's & Dementia.  18 (2022)  S6 - p. , 2022
Link: https://doi.org/10.1002/..
 
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6

The sequence of structural, functional and cognitive change..:

Dekker, Iris ; Schoonheim, Menno M. ; Venkatraghavan, Vikram...
NeuroImage: Clinical.  29 (2021)  - p. 102550 , 2021
Link: https://doi.org/10.1016/..
 
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7

Cross-cohort generalizability of deep and conventional mach..:

Bron, Esther E. ; Klein, Stefan ; Papma, Janne M....
NeuroImage: Clinical.  31 (2021)  - p. 102712 , 2021
Link: https://doi.org/10.1016/..
 
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8

Analyzing the effect of APOE on Alzheimer's disease progres..:

Venkatraghavan, Vikram ; Klein, Stefan ; Fani, Lana...
NeuroImage.  227 (2021)  - p. 117646 , 2021
Link: https://doi.org/10.1016/..
 
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9

Modelling the cascade of biomarker changes in GRN-related f..:

Panman, Jessica L ; Venkatraghavan, Vikram ; van der Ende, Emma L...
Journal of Neurology, Neurosurgery & Psychiatry.  92 (2021)  5 - p. 494-501 , 2021
Link: https://doi.org/10.1136/..
 
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10

Progression along data-driven disease timelines is predicti..:

Venkatraghavan, Vikram ; Vinke, Elisabeth J. ; Bron, Esther E....
NeuroImage.  238 (2021)  - p. 118233 , 2021
Link: https://doi.org/10.1016/..
 
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11

Deep versus conventional machine learning for MRI‐based dia..:

Bron, Esther E. ; Venkatraghavan, Vikram ; Linders, Jara..
Alzheimer's & Dementia.  16 (2020)  S5 - p. , 2020
Link: https://doi.org/10.1002/..
 
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12

Modelling the cascade of biomarker changes in progranulin‐r..:

Venkatraghavan, Vikram ; Panman, Jessica L. ; van der Ende, Emma Louise...
Alzheimer's & Dementia.  16 (2020)  S4 - p. , 2020
Link: https://doi.org/10.1002/..
 
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13

Multi-study validation of data-driven disease progression m..:

Archetti, Damiano ; Ingala, Silvia ; Venkatraghavan, Vikram...
NeuroImage: Clinical.  24 (2019)  - p. 101954 , 2019
Link: https://doi.org/10.1016/..
 
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14

Event-Based Modeling with High-Dimensional Imaging Biomarke..:

, In: Lecture Notes in Computer Science; Information Processing in Medical Imaging,
for the Alzheimer's Disease Neuroimaging Initiative ; Venkatraghavan, Vikram ; Dubost, Florian... - p. 169-180 , 2019
Link: https://doi.org/10.1007/..
 
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15

Disease progression timeline estimation for Alzheimer's dis..:

Venkatraghavan, Vikram ; Bron, Esther E. ; Niessen, Wiro J..
NeuroImage.  186 (2019)  - p. 518-532 , 2019
Link: https://doi.org/10.1016/..
 
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