Deepthi Rajashekar
Deepthi Rajashekar
PostDoctoral Fellow, University of Calgary
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Cited by
Supervised machine learning tools: a tutorial for clinicians
LL Vercio, K Amador, JJ Bannister, S Crites, A Gutierrez, ME MacDonald, ...
Journal of Neural Engineering 17 (6), 062001, 2020
Using machine learning to predict dementia from neuropsychiatric symptom and neuroimaging data
S Gill, P Mouches, S Hu, D Rajashekar, FP MacMaster, EE Smith, ...
Journal of Alzheimer's Disease 75 (1), 277-288, 2020
Neural correlates of the impulse dyscontrol domain of mild behavioral impairment
S Gill, M Wang, P Mouches, D Rajashekar, T Sajobi, FP MacMaster, ...
International Journal of Geriatric Psychiatry 36 (9), 1398-1406, 2021
Stroke lesion segmentation in FLAIR MRI datasets using customized Markov random fields
NK Subbanna, D Rajashekar, B Cheng, G Thomalla, J Fiehler, T Arbel, ...
Frontiers in neurology 10, 541, 2019
Automatic segmentation of stroke lesions in non-contrast computed tomography datasets with convolutional neural networks
A Tuladhar, S Schimert, D Rajashekar, HC Kniep, J Fiehler, ND Forkert
IEEE Access 8, 94871-94879, 2020
Comprehensive retinal image analysis for aggressive posterior retinopathy of prematurity
D Rajashekar, G Srinivasa, A Vinekar
PloS one 11 (10), e0163923, 2016
High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly
D Rajashekar, M Wilms, ME MacDonald, J Ehrhardt, P Mouches, ...
Scientific Data 7 (1), 56, 2020
Smart phone user behaviour characterization based on autoencoders and self organizing maps
D Rajashekar, AN Zincir-Heywood, MI Heywood
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
Structural and functional connectivity of motor circuits after perinatal stroke: A machine learning study
HL Carlson, BT Craig, AJ Hilderley, J Hodge, D Rajashekar, P Mouches, ...
NeuroImage: Clinical 28, 102508, 2020
Age-related differences in cerebral blood flow and cortical thickness with an application to age prediction
ME MacDonald, RJ Williams, D Rajashekar, RB Stafford, A Hanganu, ...
Neurobiology of Aging 95, 131-142, 2020
Investigating the relationship between the SNCA gene and cognitive abilities in idiopathic Parkinson’s disease using machine learning
M Ramezani, P Mouches, E Yoon, D Rajashekar, JA Ruskey, E Leveille, ...
Scientific Reports 11 (1), 4917, 2021
Invertible modeling of bidirectional relationships in neuroimaging with normalizing flows: application to brain aging
M Wilms, JJ Bannister, P Mouches, ME MacDonald, D Rajashekar, ...
IEEE Transactions on Medical Imaging 41 (9), 2331-2347, 2022
Prediction of clinical outcomes in acute ischaemic stroke patients: a comparative study
D Rajashekar, M Hill, A Demchuk, M Goyal, J Fiehler, ND Forkert
Frontiers in Neurology 12, 678, 2021
Lesion-symptom mapping with NIHSS sub-scores in ischemic stroke patients
D Rajashekar, M Wilms, ME MacDonald, S Schimert, MD Hill, A Demchuk, ...
Stroke and Vascular Neurology 7 (2), 2022
Unifying brain age prediction and age-conditioned template generation with a deterministic autoencoder
P Mouches, M Wilms, D Rajashekar, S Langner, N Forkert
Medical Imaging with Deep Learning, 497-506, 2021
Structural integrity of white matter tracts as a predictor of acute ischemic stroke outcome
D Rajashekar, P Mouchès, J Fiehler, BK Menon, M Goyal, AM Demchuk, ...
International Journal of Stroke 15 (9), 965-972, 2020
Towards self-explainable classifiers and regressors in neuroimaging with normalizing flows
M Wilms, P Mouches, JJ Bannister, D Rajashekar, S Langner, ND Forkert
Machine Learning in Clinical Neuroimaging: 4th International Workshop, MLCN …, 2021
The association of saliva cytokines and pediatric sports-related concussion outcomes
TA Seeger, J Tabor, S Sick, KJ Schneider, C Jenne, P La, AS Talai, ...
The Journal of Head Trauma Rehabilitation 35 (5), 354-362, 2020
Bidirectional modeling and analysis of brain aging with normalizing flows
M Wilms, JJ Bannister, P Mouches, ME MacDonald, D Rajashekar, ...
Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro …, 2020
Comparison of algorithms for segmentation of blood vessels in fundus images
TD Prakash, D Rajashekar, G Srinivasa
2016 2nd International Conference on Applied and Theoretical Computing and …, 2016
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