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Pauline Mouches
Pauline Mouches
Postdoctoral researcher, Lyon Neuroscience Research Center (CRNL) - Inserm
在 ucalgary.ca 的电子邮件经过验证
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引用次数
引用次数
年份
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
1162020
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
962020
A statistical atlas of cerebral arteries generated using multi-center MRA datasets from healthy subjects
P Mouches, ND Forkert
Scientific data 6 (1), 29, 2019
612019
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
602021
Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions
P Mouches, M Wilms, D Rajashekar, S Langner, ND Forkert
Human brain mapping 43 (8), 2554-2566, 2022
362022
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
262020
Detecting brain network communities: Considering the role of information flow and its different temporal scales
LM Sanchez-Rodriguez, Y Iturria-Medina, P Mouches, RC Sotero
NeuroImage 225, 117431, 2021
252021
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
232020
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
192021
Fairness-related performance and explainability effects in deep learning models for brain image analysis
EAM Stanley, M Wilms, P Mouches, ND Forkert
Journal of Medical Imaging 9 (6), 061102-061102, 2022
182022
Explainable classification of Parkinson’s disease using deep learning trained on a large multi-center database of T1-weighted MRI datasets
M Camacho, M Wilms, P Mouches, H Almgren, R Souza, R Camicioli, ...
NeuroImage: Clinical 38, 103405, 2023
172023
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
162022
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
132021
Influence of cardiovascular risk-factors on morphological changes of cerebral arteries in healthy adults across the life span
P Mouches, S Langner, M Domin, MD Hill, ND Forkert
Scientific reports 11 (1), 12236, 2021
132021
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
122020
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
112020
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
102021
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
102020
Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factors
P Mouches, M Wilms, A Aulakh, S Langner, ND Forkert
Frontiers in Neurology 13, 979774, 2022
82022
A fully convolutional neural network for explainable classification of attention deficit hyperactivity disorder
EAM Stanley, D Rajashekar, P Mouches, M Wilms, K Plettl, ND Forkert
Medical Imaging 2022: Computer-Aided Diagnosis 12033, 310-315, 2022
72022
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