Deepthi Rajashekar
Deepthi Rajashekar
Graduate student, University of Calgary
Verified email at ucalgary.ca
Title
Cited by
Cited by
Year
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
152016
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
92019
Comprehensive retinal image analysis for aggressive posterior retinopathy of prematurity
D Rajashekar, G Srinivasa, A Vinekar
PloS one 11 (10), e0163923, 2016
92016
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
52016
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, 1-12, 2020
22020
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), 1-7, 2020
22020
Recanalization following Endovascular treatment and imaging of PErfusion, Regional inFarction and atrophy to Understand Stroke Evolution—NA1 (REPERFUSE-NA1)
S Tariq, RG Sah, L Chan, D Rajashekar, R McTaggart, K Butcher, R Aviv, ...
International Journal of Stroke 15 (3), 343-349, 2020
12020
One-class learning with an Autoencoder Based Self Organizing Map
D Rajashekar
12017
High-resolution T2-FLAIR and non-contrast CT brain atlas of the elderly
R Deepthi, W Matthias, MDM Ethan, J Ehrhardt, M Pauline, R Frayne, ...
Scientific Data 7 (1), 2020
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
2020
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
2020
60 Precision Medicine in Developmental Pediatrics: Image-based Classification of Children with Autism Spectrum Disorder using Deep Learning
S MacEachern, D Rajashekar, P Mouches, N Rowe, E Mckenna, K Yeom, ...
Paediatrics & Child Health 25 (Supplement_2), e25-e25, 2020
2020
Temporal evolution and spatial distribution of quantitative T2 MRI following acute ischemia reperfusion injury
RG Sah, S Nobakht, D Rajashekar, P Mouches, ND Forkert, A Sitaram, ...
International Journal of Stroke 15 (5), 495-506, 2020
2020
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
2020
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, 1747493020915251, 2020
2020
Automatic segmentation of stroke lesions in non-contrast computed tomography with convolutional neural networks
A Tuladhar, S Schimert, D Rajashekar, HC Kniep, J Fiehler, ND Forkert
Medical Imaging with Deep Learning, 2020
2020
The impact of covariates in voxel-wise lesion-symptom mapping
D Rajashekar, M Wilms, K Hecker, M Hill, S Dukelow, J Fiehler, ...
Frontiers in Neurology 11, 854, 2020
2020
Abstract TP171: Eloquence of White Matter Tracts in Acute Ischemic Stroke Patients
D Rajashekar, RJ Singh, BK Menon, ND Forkert
Stroke 50 (Suppl_1), ATP171-ATP171, 2019
2019
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Articles 1–18