Vikram Venkatraghavan
Vikram Venkatraghavan
Alzheimer Center, Amsterdam UMC
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Trajectories of imaging markers in brain aging: the Rotterdam Study
EJ Vinke, M de Groot, V Venkatraghavan, S Klein, WJ Niessen, MA Ikram, ...
Neurobiology of aging 71, 32-40, 2018
Automated oral cancer identification using histopathological images: a hybrid feature extraction paradigm
MMR Krishnan, V Venkatraghavan, UR Acharya, M Pal, RR Paul, LC Min, ...
Micron 43 (2-3), 352-364, 2012
Disease progression timeline estimation for Alzheimer's disease using discriminative event based modeling
V Venkatraghavan, EE Bron, WJ Niessen, S Klein, ...
NeuroImage 186, 518-532, 2019
Cross-cohort generalizability of deep and conventional machine learning for MRI-based diagnosis and prediction of Alzheimer’s disease
EE Bron, S Klein, JM Papma, LC Jiskoot, V Venkatraghavan, J Linders, ...
NeuroImage: Clinical 31, 102712, 2021
The alzheimer's disease prediction of longitudinal evolution (TADPOLE) challenge: Results after 1 year follow-up
RV Marinescu, NP Oxtoby, AL Young, EE Bron, AW Toga, MW Weiner, ...
arXiv preprint arXiv:2002.03419, 2020
Multi-study validation of data-driven disease progression models to characterize evolution of biomarkers in Alzheimer's disease
D Archetti, S Ingala, V Venkatraghavan, V Wottschel, AL Young, M Bellio, ...
NeuroImage: Clinical 24, 101954, 2019
A data-driven disease progression model of fluid biomarkers in genetic frontotemporal dementia
EL Van Der Ende, EE Bron, JM Poos, LC Jiskoot, JL Panman, JM Papma, ...
Brain 145 (5), 1805-1817, 2022
Modelling the cascade of biomarker changes in GRN-related frontotemporal dementia
JL Panman, V Venkatraghavan, EL Van Der Ende, RME Steketee, ...
Journal of Neurology, Neurosurgery & Psychiatry 92 (5), 494-501, 2021
Cerebrospinal fluid proteomics in patients with Alzheimer’s disease reveals five molecular subtypes with distinct genetic risk profiles
BM Tijms, EM Vromen, O Mjaavatten, H Holstege, LM Reus, ...
Nature aging 4 (1), 33-47, 2024
The sequence of structural, functional and cognitive changes in multiple sclerosis
I Dekker, MM Schoonheim, V Venkatraghavan, AJC Eijlers, I Brouwer, ...
NeuroImage: Clinical 29, 102550, 2021
Systems for detecting and tracking of objects and co-registration
V Venkatraghavan, R Subramaniyan, G Dutta
US Patent App. 14/823,635, 2016
A discriminative event based model for Alzheimer’s disease progression modeling
V Venkatraghavan, EE Bron, WJ Niessen, S Klein
Information Processing in Medical Imaging: 25th International Conference …, 2017
Analyzing the effect of APOE on Alzheimer’s disease progression using an event-based model for stratified populations
V Venkatraghavan, S Klein, L Fani, LS Ham, H Vrooman, MK Ikram, ...
Neuroimage 227, 117646, 2021
Systems for linear mapping of lumens
V Venkatraghavan, R Subramaniyan
US Patent App. 14/535,204, 2015
Modified Radon transform for texture analysis
V Venkatraghavan, S Rekha, J Chatterjee, AK Ray
2011 Annual IEEE India Conference, 1-4, 2011
Progression along data-driven disease timelines is predictive of Alzheimer’s disease in a population-based cohort
V Venkatraghavan, EJ Vinke, EE Bron, WJ Niessen, MA Ikram, S Klein, ...
NeuroImage 238, 118233, 2021
Shape orientation pattern
V Venkatraghavan, M Agarwal, AK Roy
IEEE signal processing letters 16 (8), 711-714, 2009
Alzheimer’s Disease Neuroimaging Initiative Disease progression timeline estimation for alzheimer’s disease using discriminative event based modeling
V Venkatraghavan, EE Bron, WJ Niessen, S Klein
Neuroimage 186, 518-532, 2019
Generic framework for organ localization in CT and MR images
V Venkatraghavan, S Ranjan
2011 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1-7, 2011
A discriminative event‐based model for subtype diagnosis of sporadic Creutzfeldt‐Jakob disease using brain MRI
V Venkatraghavan, R Pascuzzo, EE Bron, M Moscatelli, M Grisoli, ...
Alzheimer's & Dementia 19 (8), 3261-3271, 2023
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