Related references
Note: Only part of the references are listed.Structural MRI-Based Schizophrenia Classification Using Autoencoders and 3D Convolutional Neural Networks in Combination with Various Pre-Processing Techniques
Roman Vyskovsky et al.
BRAIN SCIENCES (2022)
Loss odyssey in medical image segmentation
Jun Ma et al.
MEDICAL IMAGE ANALYSIS (2021)
Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a Diagnostic Label-Free Approach: Application to Schizophrenia Datasets
Hiroyuki Yamaguchi et al.
FRONTIERS IN NEUROSCIENCE (2021)
Focal Loss for Dense Object Detection
Tsung-Yi Lin et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2020)
Reducing the Hausdorff Distance in Medical Image Segmentation With Convolutional Neural Networks
Davood Karimi et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)
Recent advances of deep learning in psychiatric disorders
Lu Chen et al.
PRECISION CLINICAL MEDICINE (2020)
Can we accurately classify schizophrenia patients from healthy controls using magnetic resonance imaging and machine learning? A multi-method and multi-dataset study
Julie L. Winterburn et al.
SCHIZOPHRENIA RESEARCH (2019)
Key challenges for delivering clinical impact with artificial intelligence
Christopher J. Kelly et al.
BMC MEDICINE (2019)
Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large-scale multi-sample study
Walter H. L. Pinaya et al.
HUMAN BRAIN MAPPING (2019)
Multi-focus image fusion using deep support value convolutional neural network
ChaoBen Du et al.
OPTIK (2019)
Cortical thinning and flattening in schizophrenia and their unaffected parents
Jing Yan et al.
NEUROPSYCHIATRIC DISEASE AND TREATMENT (2019)
Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium
Theo G. M. van Erp et al.
BIOLOGICAL PSYCHIATRY (2018)
Volume alteration of hippocampal subfields in first-episode antipsychotic-naive schizophrenia patients before and after acute antipsychotic treatment
Wenbin Li et al.
NEUROIMAGE-CLINICAL (2018)
Altered gyrification in schizophrenia and its relation to other morphometric markers
Robert Spalthoff et al.
SCHIZOPHRENIA RESEARCH (2018)
Space Charge Analysis of Polyethylene with Chemical Defects Based on Density Function Theory
Tao Lin et al.
2018 IEEE INTERNATIONAL CONFERENCE ON HIGH VOLTAGE ENGINEERING AND APPLICATION (ICHVE) (2018)
Cortical gyrification in schizophrenia: current perspectives
Yukihisa Matsuda et al.
NEUROPSYCHIATRIC DISEASE AND TREATMENT (2018)
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls
Mohammad R. Arbabshirani et al.
NEUROIMAGE (2017)
Brain Structural Abnormalities in a Group of Never-Medicated Patients With Long-Term Schizophrenia
Wenjing Zhang et al.
AMERICAN JOURNAL OF PSYCHIATRY (2015)
A Review of Ensemble Learning Based Feature Selection
Donghai Guan et al.
IETE TECHNICAL REVIEW (2014)
Definition and description of schizophrenia in the DSM-5
Rajiv Tandon et al.
SCHIZOPHRENIA RESEARCH (2013)
Multimodal meta-analysis of structural and functional brain changes in first episode psychosis and the effects of antipsychotic medication
J. Radua et al.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2012)
How the cortex gets its folds: an inside-out, connectivity-driven model for the scaling of mammalian cortical folding
Bruno Mota et al.
FRONTIERS IN NEUROANATOMY (2012)
The anatomy of first-episode and chronic schizophrenia: An anatomical likelihood estimation meta-analysis
Ian Ellison-Wright et al.
AMERICAN JOURNAL OF PSYCHIATRY (2008)
A surface-based approach to quantify local cortical gyrification
Marie Schaer et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2008)
Extremely randomized trees
P Geurts et al.
MACHINE LEARNING (2006)
Share Paper
