| 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 | 133 | 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 | 105 | 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 | 65 | 2021 |
| 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 | 34 | 2020 |
| 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 | 33 | 2019 |
| 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 | 30 | 2020 |
| Comprehensive retinal image analysis for aggressive posterior retinopathy of prematurity D Rajashekar, G Srinivasa, A Vinekar PloS one 11 (10), e0163923, 2016 | 29 | 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 | 24 | 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 | 23 | 2016 |
| 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 | 22 | 2022 |
| 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 | 21 | 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 | 20 | 2022 |
| 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 | 18 | 2020 |
| 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 | 14 | 2021 |
| 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 | 13 | 2021 |
| 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 | 13 | 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 | 12 | 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 | 12 | 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 | 11 | 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 | 9 | 2016 |
Pauline MouchesPostdoctoral researcher, Lyon Neuroscience Research Center (CRNL) - InsermVerified email at ucalgary.ca
