69 results on '"Duchesnay, Edouard"'
Search Results
2. MixUp Brain-Cortical Augmentations in Self-supervised Learning
3. Exploring the potential of representation and transfer learning for anatomical neuroimaging: Application to psychiatry
4. Attention-gated 3D CapsNet for robust hippocampal segmentation
5. Prediction of post-traumatic stress disorder in family members of ICU patients: a machine learning approach
6. UCSL : A Machine Learning Expectation-Maximization Framework for Unsupervised Clustering Driven by Supervised Learning
7. Longitudinal MicroRNA Signature of Conversion to Psychosis
8. Correction: Understanding the relationship between cerebellar structure and social abilities
9. Enhancing fetal alcohol spectrum disorders diagnosis with a classifier based on the intracerebellar gradient of volumetric undersizing
10. Understanding the relationship between cerebellar structure and social abilities
11. 188. Cerebellar Vermis and Depressive Symptoms in Bipolar Disorder
12. Multi-View Variational Autoencoders Allow for Interpretability Leveraging Digital Avatars: Application to the HBN Cohort
13. Contrastive Learning for Regression in Multi-Site Brain Age Prediction
14. Understanding the relationship between cerebellar structure and social abilities
15. OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing
16. Colocalization of Functional Activity and Neurite Density Within Cortical Areas
17. Brain anomalies in early psychosis: From secondary to primary psychosis
18. Structured Variable Selection for Regularized Generalized Canonical Correlation Analysis
19. Decoding Activity in Broca's Area Predicts the Occurrence of Auditory Hallucinations Across Subjects
20. 32. LONGITUDINAL CHANGES IN MICRORNA EXPRESSION DURING THE EMERGENCE OF PSYCHOSIS IN ADOLESCENCE
21. Irritability Is Associated With Decreased Cortical Surface Area and Anxiety With Decreased Gyrification During Brain Development
22. Decoding activity in Broca’s area predicts the occurrence of auditory hallucinations across subjects
23. Dimension Reduction and Regularization Combined with Partial Least Squares in High Dimensional Imaging Genetics Studies
24. Voxelwise Multivariate Statistics and Brain-Wide Machine Learning Using the Full Diffusion Tensor
25. Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges
26. Accumulation of Lithium in the Hippocampus of Patients With Bipolar Disorder: A Lithium-7 Magnetic Resonance Imaging Study at 7 Tesla
27. Maturation cérébrale et vulnérabilité psychiatrique à l’environnement chez les jeunes sujets à haut risque : rôle de la régulation épigénétique
28. Will machine learning applied to neuroimaging in bipolar disorder help the clinician? A critical review and methodological suggestions
29. Lithium prevents grey matter atrophy in patients with bipolar disorder: an international multicenter study
30. Neocortical morphometry in Huntington's disease: Indication of the coexistence of abnormal neurodevelopmental and neurodegenerative processes
31. Predicting the individual risk of psychosis conversion in at-risk mental state (ARMS): a multivariate model reveals the influence of nonpsychotic prodromal symptoms
32. Prospective cohort study of early biosignatures of response to lithium in bipolar-I-disorders: overview of the H2020-funded R-LiNK initiative
33. Decreased Cortical Thickness in the Anterior Cingulate Cortex in Adults with Autism
34. Continuation of Nesterov’s Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging
35. Different Types of White Matter Hyperintensities in CADASIL
36. Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity
37. 121. Biological Insight From Large-Scale Studies of Bipolar Disorder With Multi-Modal Imaging and Genomics
38. O1. Classification of Patients With Bipolar Disorder Based on DTI Data: Relationship With Clinical Dimensions
39. Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty
40. Prediction of activation patterns preceding hallucinations in patients with schizophrenia using machine learning with structured sparsity
41. Simulated Data for Linear Regression with Structured and Sparse Penalties: Introducing pylearn-simulate
42. Genetic Influence on the Sulcal Pits: On the Origin of the First Cortical Folds
43. Regional study of the genetic influence on the sulcal pits
44. Prediction of 3-year clinical course in CADASIL
45. Determinants of iron accumulation in the normal aging brain
46. Features and Determinants of Lacune Shape
47. Shape of the Central Sulcus and Disability After Subcortical Stroke
48. Méthodes de prédiction multivariées basées sur la neuroimagerie : application aux maladies psychiatriques
49. In Vivo High-Resolution 7 Tesla MRI Shows Early and Diffuse Cortical Alterations in CADASIL
50. Loss of Venous Integrity in Cerebral Small Vessel Disease
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