Articles

Identifying endophenotypes of autism: a multivariate approach

• Fermín Segovia
• Rosemary Holt
• Michael Spencer
• Juan M. Górriz
• Javier Ramírez
• Carlos G. Puntonet
• Christophe Phillips
• Lindsay Chura
• Simon Baron-Cohen
• John Suckling

Combined Support Vector Machine Classifier and Brain Structural Network Features for the Individual Classification of Amnestic Mild Cognitive Impairment and Subjective Cognitive Decline Patients

in Neurocognitive Aging and Behavior

• Weijie Huang
• Xuanyu Li
• Xin Li
• Guixia Kang
• Ying Han
• Ni Shu

Preprocessing of 18F-DMFP-PET Data Based on Hidden Markov Random Fields and the Gaussian Distribution

in Alzheimer's Disease and Related Dementias

• Fermín Segovia
• Juan M. Górriz
• Javier Ramírez
• Francisco J. Martínez-Murcia
• Diego Salas-Gonzalez

Emotion Discrimination Using Spatially Compact Regions of Interest Extracted from Imaging EEG Activity

• Jorge I. Padilla-Buritica
• Juan D. Martinez-Vargas
• German Castellanos-Dominguez

Predicting the Disease Genes of Multiple Sclerosis Based on Network Representation Learning

in Computational Genomics

• Haijie Liu
• Jiaojiao Guan
• He Li
• Zhijie Bao
• Qingmei Wang
• Xun Luo
• Hansheng Xue

Regional Gray Matter Volume Identifies High Risk of Unsafe Driving in Healthy Older People

in Neurocognitive Aging and Behavior

• Yasuharu Yamamoto
• Bun Yamagata
• Jinichi Hirano
• Ryo Ueda
• Hiroshi Yoshitake
• Kazuno Negishi
• Mika Yamagishi
• Mariko Kimura
• Kei Kamiya
• Motoki Shino

Digital biomarkers from gaze tests for classification of central and peripheral lesions in acute vestibular syndrome

in Neuro-Ophthalmology

• Benjamin Duvieusart
• Terence S. Leung
• Nehzat Koohi
• Diego Kaski

Responses of functional brain networks in micro-expressions: An EEG study

in Human-Media Interaction

• Xingcong Zhao
• Jiejia Chen
• Tong Chen
• Shiyuan Wang
• Ying Liu
• Xiaomei Zeng
• Guangyuan Liu

Identification of neural connectivity signatures of autism using machine learning

in Brain Health and Clinical Neuroscience

• Gopikrishna Deshpande
• Lauren Libero
• Karthik Ramakrishnan Sreenivasan
• Hrishikesh Deshpande
• Rajesh Kumar Kana

Machine Learning Based Classification of Resting-State fMRI Features Exemplified by Metabolic State (Hunger/Satiety)

in Brain Imaging and Stimulation

• Arkan Al-Zubaidi
• Alfred Mertins
• Marcus Heldmann
• Kamila Jauch-Chara
• Thomas F. Münte

Recruiting Conventional Tree Architecture Models into State-of-the-Art LiDAR Mapping for Investigating Tree Growth Habits in Structure

in Technical Advances in Plant Science

• Yi Lin
• Miao Jiang
• Petri Pellikka
• Janne Heiskanen

Distinct Features of Cerebral Blood Flow and Spontaneous Neural Activity as Integrated Predictors of Early Response to Antidepressants

in Neuroimaging

• Zhenghua Hou
• Tong Li
• Xiaofu He
• Yuqun Zhang
• Huanxin Chen
• Wenhao Jiang
• Yingying Yin
• Yonggui Yuan

Predicting HIV-1 Protease Cleavage Sites With Positive-Unlabeled Learning

in Computational Genomics

• Zhenfeng Li
• Lun Hu
• Zehai Tang
• Cheng Zhao

Brain Network Activation Analysis Utilizing Spatiotemporal Features for Event Related Potentials Classification

• Yaki Stern
• Amit Reches
• Amir B. Geva

Classification of Schizophrenia by Combination of Brain Effective and Functional Connectivity

in Brain Imaging Methods

• Zongya Zhao
• Jun Li
• Yanxiang Niu
• Chang Wang
• Junqiang Zhao
• Qingli Yuan
• Qiongqiong Ren
• Yongtao Xu
• Yi Yu

Individual classification of ADHD patients by integrating multiscale neuroimaging markers and advanced pattern recognition techniques

• Wei Cheng
• Xiaoxi Ji
• Jie Zhang
• Jianfeng Feng