Articles

Evaluation of entropy features and classifier performance in person authentication using resting-state EEG

in Neural Technology

• Renyu Yang
• Ling zhang
• Yuanmei Peng
• Boming Zhong
• Lixing Hou
• Jinhui Peng
• Baoguo Xu
• Renhuan Yang

Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing

• Martin Justinus Rosenfelder
• Myra Spiliopoulou
• Burkhard Hoppenstedt
• Rüdiger Pryss
• Patrick Fissler
• Mario della Piedra Walter
• Iris-Tatjana Kolassa
• Andreas Bender

A Machine Learning Approach for Detecting Vicarious Trial and Error Behaviors

in Decision Neuroscience

• Jesse T. Miles
• Kevan S. Kidder
• Ziheng Wang
• Yiru Zhu
• David H. Gire
• Sheri J. Y. Mizumori

Enhanced Performance for Multi-Forearm Movement Decoding Using Hybrid IMU–sEMG Interface

• Waseem Shahzad
• Yasar Ayaz
• Muhammad Jawad Khan
• Noman Naseer
• Mushtaq Khan

Gender differences in the temporal voice areas

in Auditory Cognitive Neuroscience

• Merle-Marie Ahrens
• Bashar Awwad Shiekh Hasan
• Bruno L. Giordano
• Pascal Belin

Dynamic Alterations of Spontaneous Neural Activity in Parkinson's Disease: A Resting-State fMRI Study

in Applied Neuroimaging

• Chao Zhang
• Binru Dou
• Jiali Wang
• Kai Xu
• Haiyan Zhang
• Muhammad Umair Sami
• Chunfeng Hu
• Yutao Rong
• Qihua Xiao
• Nan Chen

Clinical Value of Machine Learning in the Automated Detection of Focal Cortical Dysplasia Using Quantitative Multimodal Surface-Based Features

in Brain Imaging Methods

• Jia-Jie Mo
• Jian-Guo Zhang
• Wen-Ling Li
• Chao Chen
• Na-Jing Zhou
• Wen-Han Hu
• Chao Zhang
• Yao Wang
• Xiu Wang
• Chang Liu

Enhancing the accuracy of molecular classification of pediatric CNS tumors: a dual-classifier approach using DNA methylation profiling

in Pediatric Oncology

• Esra Moosa
• Rania Alanany
• Shimaa Sherif
• Erdener Ozer
• Sukoluhle Dube
• Aayesha Jabeen
• Apryl Sanchez
• Asma Jamil
• Aisha Khalifa
• Chiara Cugno

Is synthetic data generation effective in maintaining clinical biomarkers? Investigating diffusion models across diverse imaging modalities

in Medicine and Public Health

• Abdullah Hosseini
• Ahmed Serag

Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm

in Cancer Imaging and Image-directed Interventions

• Muhammad Sami Ullah
• Muhammad Attique Khan
• Anum Masood
• Olfa Mzoughi
• Oumaima Saidani
• Nazik Alturki

Clinical Utility of Machine-Learning Approaches in Schizophrenia: Improving Diagnostic Confidence for Translational Neuroimaging

in Neuroimaging

• Sarina Iwabuchi
• Peter F Liddle
• Lena Palaniyappan

EEG channel and feature investigation in binary and multiple motor imagery task predictions

in Brain-Computer Interfaces

• Murside Degirmenci
• Yilmaz Kemal Yuce
• Matjaž Perc
• Yalcin Isler

Impaired interhemispheric synchrony in patients with iridocyclitis and classification using machine learning: an fMRI study

in Autoimmune and Autoinflammatory Disorders : Autoimmune Disorders

• Yan Tong
• Zhi Wen
• Xin Huang

CT Radiomics and Machine-Learning Models for Predicting Tumor-Stroma Ratio in Patients With Pancreatic Ductal Adenocarcinoma

in Gastrointestinal Cancers

• Yinghao Meng
• Hao Zhang
• Qi Li
• Fang Liu
• Xu Fang
• Jing Li
• Jieyu Yu
• Xiaochen Feng
• Mengmeng Zhu
• Na Li

Effects of Label Noise on Deep Learning-Based Skin Cancer Classification

in Dermatology

• Achim Hekler
• Jakob N. Kather
• Eva Krieghoff-Henning
• Jochen S. Utikal
• Friedegund Meier
• Frank F. Gellrich
• Julius Upmeier zu Belzen
• Lars French
• Justin G. Schlager
• Kamran Ghoreschi

From ERPs to MVPA Using the Amsterdam Decoding and Modeling Toolbox (ADAM)

in Brain Imaging Methods

• Johannes J. Fahrenfort
• Joram van Driel
• Simon van Gaal
• Christian N. L. Olivers