Anatomical Patterns Recognition of Impulse Control Disorders of Parkinsonian Patients Using Deep Learning of MRI structural images-Reference-Cited by-同舟云学术

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Anatomical Patterns Recognition of Impulse Control Disorders of Parkinsonian Patients Using Deep Learning of MRI structural images

Published:2022-11-16 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE ANDESCON
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Author:

Luna Jocellyn¹,Pelaez Enrique¹,Loayza Francis R.²,Saravia Alexander²,Obeso Ignacio³,Asanza Victor¹

Affiliation:

1. Escuela Superior Politécnica del Litoral - ESPOL University,Electrical and Computer Science Engineering Depart.,Guayaquil,Ecuador

2. Escuela Superior Politécnica del Litoral - ESPOL University,Mechanical and Production Science Engineering Depart.,Guayaquil,Ecuador

3. HM CINAC Universidad Complutense de Madrid (UCM),Cognitive Control & Habit Lab,Madrid,España

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989530/9989521/09989825.pdf?arnumber=9989825

Reference28 articles.

1. Patterns of cortical thickness associated with impulse control disorders in Parkinson's disease

2. Morphometric changes in the reward system of Parkinson’s disease patients with impulse control disorders

3. Advanced normalization tools (ants);avants;Insight J,2009

4. Image Segmentation, Registration and Characterization in R with SimpleITK

5. Magnetic resonance imaging and prediction of out-come in patients with major depressive disorder;macqueen;Journal of Psychiatry and Neuroscience,2009

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