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1. Full Text Classical statistics and statistical learning in imaging neuroscience
by Bzdok, Danilo
Frontiers in neuroscience, ISSN 1662-4548, 10/2017, Volume 11, pp. 543 - 543
Neuroimaging | Epistemology | Rosetta stone | Machine learning | Data science | Statistical inference | P-value | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Science & Technology | Hypothesis testing | Learning algorithms | Statistical analysis | Image processing | Nervous system | Statistics | statistical inference | epistemology | data science | p-value | machine learning | neuroimaging
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2. Full Text 184. Subspecialization Within Default Mode Nodes
by Bzdok, Danilo
Biological psychiatry (1969), ISSN 0006-3223, 05/2019, Volume 85, Issue 10, pp. S76 - S76
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3. Full Text Points of Significance: Statistics versus machine learning
by Bzdok, Danilo and Altman, Naomi and Krzywinski, Martin
Nature methods, ISSN 1548-7091, 04/2018, Volume 15, Issue 4, pp. 233 - 234
Biochemistry & Molecular Biology | Life Sciences & Biomedicine | Biochemical Research Methods | Science & Technology | Biological research | Usage | Mathematical statistics | Machine learning | Research | Comparative analysis | Methods | Computational biology | Biology, Experimental | Learning algorithms
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4. Full Text Autism spectrum heterogeneity: fact or artifact?
by Mottron, Laurent and Bzdok, Danilo
Molecular psychiatry, ISSN 1359-4184, 12/2020, Volume 25, Issue 12, pp. 3178 - 3185
Biochemistry & Molecular Biology | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Psychiatry | Science & Technology | Autism | Learning algorithms | Phenotypes | Diagnosis | Intelligence | Index Medicus | Autism spectrum disorders | Neuroscience | Review
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5. Full Text Machine Learning for Precision Psychiatry: Opportunities and Challenges
by Bzdok, Danilo and Meyer-Lindenberg, Andreas
Biological psychiatry : cognitive neuroscience and neuroimaging, ISSN 2451-9022, 03/2018, Volume 3, Issue 3, pp. 223 - 230
Research Domain Criteria (RDoC) | Endophenotypes | Null-hypothesis testing | Machine learning | Single-subject prediction | Personalized medicine | Artificial intelligence | Predictive analytics | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Science & Technology | Psychiatry - methods | Mental Disorders - diagnosis | Machine Learning | Humans | Precision Medicine | Index Medicus
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6. Full Text Activation likelihood estimation meta-analysis revisited
by Eickhoff, Simon B and Bzdok, Danilo and Laird, Angela R and Kurth, Florian and Fox, Peter T
NeuroImage (Orlando, Fla.), ISSN 1053-8119, 02/2012, Volume 59, Issue 3, pp. 2349 - 2361
Cluster-thresholding | fMRI | Inference | Permutation | PET | FMRI | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Image Processing, Computer-Assisted - statistics & numerical data | Data Interpretation, Statistical | Meta-Analysis as Topic | Brain - anatomy & histology | Humans | Magnetic Resonance Imaging - methods | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | False Positive Reactions | Positron-Emission Tomography - statistics & numerical data | Likelihood Functions | Algorithms | Magnetic Resonance Imaging - statistics & numerical data | Signal Processing, Computer-Assisted | Cluster Analysis | Studies | Medical imaging | Maps | Brain research | Probability | Experiments | Meta-analysis | Index Medicus | inference | cluster-thresholding | permutation
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7. Full Text Classical Statistics and Statistical Learning in Imaging Neuroscience
by Bzdok, Danilo
Frontiers in neuroscience, ISSN 1662-4548, 2017, Volume 11, p. 543
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8. Full Text Connectivity‐based parcellation: Critique and implications
by Eickhoff, Simon B and Thirion, Bertrand and Varoquaux, Gaël and Bzdok, Danilo
Human brain mapping, ISSN 1065-9471, 12/2015, Volume 36, Issue 12, pp. 4771 - 4792
resting‐state correlations | statistical learning | double dipping | brain parcellation | diffusion MRI | clustering | statistical inference | data‐driven | Brain parcellation | Resting-state correlations | Statistical learning | Diffusion MRI | Data-driven | Statistical inference | Clustering | Double dipping | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Brain Mapping | Algorithms | Brain - anatomy & histology | Brain - physiology | Humans | Index Medicus | Life Sciences | Bioinformatics | Artificial Intelligence | Neurons and Cognition | Computer Science
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9. Full Text An investigation of the structural, connectional, and functional subspecialization in the human amygdala
by Bzdok, Danilo and Laird, Angela R and Zilles, Karl and Fox, Peter T and Eickhoff, Simon B
Human brain mapping, ISSN 1065-9471, 12/2013, Volume 34, Issue 12, pp. 3247 - 3266
parcellation | amygdala | connectivity | social cognition | behavior | data mining | Connectivity | Behavior | Amygdala | Data mining | Parcellation | Social cognition | Neuroimaging | Neurosciences | Neurosciences & Neurology | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Radiodiagnosis. Nmr imagery. Nmr spectrometry | Biological and medical sciences | Nervous system | Electrodiagnosis. Electric activity recording | Investigative techniques, diagnostic techniques (general aspects) | Medical sciences | Amygdala - anatomy & histology | Humans | Databases, Factual - statistics & numerical data | Brain Mapping | Functional Laterality | Amygdala - physiology | Nerve Net - physiology | Neural Pathways - physiology | Analysis | Investigations | Index Medicus
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