21.9.4 Brain, Schizophrenia

Chapter Contents (Back)
Brain. Cortex. Schizophrenia Analysis.

Koo, B.B.[Bang-Bon], Lee, J.M.[Jong-Min], Kim, J.S.[June Sic], Park, J.S.[Jun Sung], Kwon, J.S.[Jun Soo], Kim, S.I.[Sun I.],
Assessing spatial probabilistic distributional differences in the common space between schizophrenics and normal controls based on a novel automated probabilistic pattern analysis method,
IJIST(18), No. 5-6, 2008, pp. 310-324.
DOI Link 0804
BibRef

Ulas, A.[Aydin], Duin, R.P.W.[Robert P.W.], Castellani, U.[Umberto], Loog, M.[Marco], Mirtuono, P.[Pasquale], Bicego, M.[Manuele], Murino, V.[Vittorio], Bellani, M.[Marcella], Cerruti, S.[Stefania], Tansella, M.[Michele], Brambilla, P.[Paolo],
Dissimilarity-based detection of schizophrenia,
IJIST(21), No. 2, June 2011, pp. 179-192.
DOI Link 1101
BibRef

Kim, J.S.[June Sic], Chung, C.K.[Chun Kee], Jo, H.J.[Hang Joon], Lee, J.M.[Jong Min], Kown, J.S.[Jun Soo],
Regional thinning of cerebral cortical thickness in first-episode and chronic schizophrenia,
IJIST(22), No. 1, March 2012, pp. 73-80.
DOI Link 1202
BibRef

Mascolo, L.[Luigi], Guccione, P.[Pietro], Nico, G.[Giovanni], Taurisano, P.[Paolo], Fazio, L.[Leonardo],
Data driven analysis of functional brain networks in fMRI for schizophrenia investigation,
IJIST(24), No. 3, 2014, pp. 239-248.
DOI Link 1408
functional magnetic resonance imaging BibRef

Miller, R.L., Yaesoubi, M., Calhoun, V.D.,
Cross-Frequency rs-fMRI Network Connectivity Patterns Manifest Differently for Schizophrenia Patients and Healthy Controls,
SPLetters(23), No. 8, August 2016, pp. 1076-1080.
IEEE DOI 1608
biomedical MRI BibRef

Castro, E., Hjelm, R.D., Plis, S.M., Dinh, L., Turner, J.A., Calhoun, V.D.,
Deep Independence Network Analysis of Structural Brain Imaging: Application to Schizophrenia,
MedImg(35), No. 7, July 2016, pp. 1729-1740.
IEEE DOI 1608
Brain BibRef

Farkas, A.[Attila], Papathomas, T.V.[Thomas V.], Silverstein, S.M.[Steven M.], Kourtev, H.[Hristiyan], Papayanopoulos, J.F.[John F.],
Dynamic 3-D computer graphics for designing a diagnostic tool for patients with schizophrenia,
VC(32), No. 11, November 2016, pp. 1499-1506.
Springer DOI 1611
BibRef

Martín, M.[Mario], Béjar, J.[Javier], Espósito, G.[Gennaro], Català, N.[Neus], Cortés, U.[Ulises], Viñas, F.[Ferran], Tarragó, J.[Josep], Rojo, E.[Emilio], Nowak, R.[Rafal],
Kernel alignment for identifying objective criteria from brain MEG recordings in schizophrenia,
PRL(93), No. 1, 2017, pp. 172-181.
Elsevier DOI 1706
Machine learning BibRef

Levin-Schwartz, Y., Calhoun, V.D., Adali, T.,
Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia,
MedImg(36), No. 7, July 2017, pp. 1385-1395.
IEEE DOI 1707
Biomedical imaging, Data integration, Image sensors, Independent component analysis, Magnetic resonance imaging, Principal component analysis, Sensor fusion, Functional magnetic resonance imaging (fMRI), ICA, IVA, data fusion, schizophrenia BibRef

Qi, S., Calhoun, V.D., van Erp, T.G.M., Bustillo, J., Damaraju, E., Turner, J.A., Du, Y., Yang, J., Chen, J., Yu, Q., Mathalon, D.H., Ford, J.M., Voyvodic, J., Mueller, B.A., Belger, A., McEwen, S., Potkin, S.G., Preda, A., Jiang, T., Sui, J.,
Multimodal Fusion With Reference: Searching for Joint Neuromarkers of Working Memory Deficits in Schizophrenia,
MedImg(37), No. 1, January 2018, pp. 93-105.
IEEE DOI 1801
biomedical MRI, cognition, correlation methods, diseases, image fusion, independent component analysis, medical disorders, working memory BibRef

Bai, Y., Pascal, Z., Calhoun, V., Wang, Y.,
Optimized Combination of Multiple Graphs With Application to the Integration of Brain Imaging and (epi)Genomics Data,
MedImg(39), No. 6, June 2020, pp. 1801-1811.
IEEE DOI 2006
Optimization, Mathematical model, Symmetric matrices, Functional magnetic resonance imaging, Diseases, schizophrenia BibRef

Zheng, Y.S.[Yun-Song], Tong, H.B.[Hang-Bin], Zhao, T.[Teng], Guo, X.X.[Xiao-Xia], Xu, H.[Hui], Yang, R.[Ruwu],
Support vector machine classification combined with multimodal magnetic resonance imaging in detection of patients with schizophrenia,
IET-IPR(14), No. 11, September 2020, pp. 2610-2615.
DOI Link 2009
BibRef

Huang, L.J.[Li-Jin], Wei, W.J.[Wei-Jie], Liu, Z.[Zhi], Zhang, T.H.[Tian-Hong], Wang, J.J.[Ji-Jun], Xu, L.H.[Li-Hua], Chen, W.Y.[Wei-Yu], Le Meur, O.[Olivier],
Effective schizophrenia recognition using discriminative eye movement features and model-metric based features,
PRL(138), 2020, pp. 608-616.
Elsevier DOI 1806
Eye movement, Schizophrenia recognition, Discriminative feature, Fixation prediction, Classification BibRef

Martha, S.R.[Sushma Rani], Panda, G.[Ganapati], Patri, M.[Manorama],
Energy-based virtual screening of drugs documented for schizophrenia against DRD2 and HTR2A,
IJCVR(12), No. 1, 2022, pp. 53-65.
DOI Link 2112
BibRef

Chalehchaleh, A.[Amirhossein], Khadem, A.[Ali],
Diagnosis of Bipolar I Disorder using 1 D-CNN and Resting-State fMRI Data,
IPRIA21(1-5)
IEEE DOI 2201
Image analysis, Time series analysis, Neural networks, Functional magnetic resonance imaging, Multilayer perceptrons, Convolutional Neural Networks BibRef

Wang, T.[Tian], Bezerianos, A.[Anastasios], Cichocki, A.[Andrzej], Li, J.[Junhua],
Multikernel Capsule Network for Schizophrenia Identification,
Cyber(52), No. 6, June 2022, pp. 4741-4750.
IEEE DOI 2207
Kernel, Biological neural networks, Routing, Functional magnetic resonance imaging, Feature extraction, schizophrenia diagnosis BibRef

Zhang, Y.[Yipu], Zhang, H.[Haowei], Xiao, L.[Li], Bai, Y.T.[Yun-Tong], Calhoun, V.D.[Vince D.], Wang, Y.P.[Yu-Ping],
Multi-Modal Imaging Genetics Data Fusion via a Hypergraph-Based Manifold Regularization: Application to Schizophrenia Study,
MedImg(41), No. 9, September 2022, pp. 2263-2272.
IEEE DOI 2209
Data integration, Data models, Imaging, Manifolds, Feature extraction, Genetics, Multitasking, Hypergraph, schizophrenia classification BibRef

Abaei-Koupaei, N.[Niloufar], Al Osman, H.[Hussein],
A Multi-Modal Stacked Ensemble Model for Bipolar Disorder Classification,
AffCom(14), No. 1, January 2023, pp. 236-244.
IEEE DOI 2303
Feature extraction, Interviews, Computational modeling, Visualization, Mental health, Reinforcement learning, automated learning BibRef

Song, X.Y.[Xiao-Ying], Wu, K.[Ke], Chai, L.[Li],
Brain Network Analysis of Schizophrenia Patients Based on Hypergraph Signal Processing,
IP(32), 2023, pp. 4964-4976.
IEEE DOI 2310
BibRef


Yu, H.K.[Hong-Kun], Florian, T.[Thomas], Calhoun, V.[Vince], Ye, D.H.[Dong Hye],
Deep Learning From Imaging Genetics for Schizophrenia Classification,
ICIP22(3291-3295)
IEEE DOI 2211
Deep learning, Mental disorders, Magnetic resonance imaging, Transfer learning, Neural networks, Genetics, Feature extraction, Explainable AI BibRef

Liu, H.Y.S.[Hong Yue Sean], Chung, J.[Jonathan], Eizenman, M.[Moshe],
A General End-to-End Method for Characterizing Neuropsychiatric Disorders using Free-Viewing Visual Scanning Tasks,
ICPR21(8570-8577)
IEEE DOI 2105
Visualization, Analytical models, Statistical analysis, Machine learning, Receivers, Feature extraction, Proposals BibRef

Dagnew, T.M.[Tewodros Mulugeta], Squarcina, L.[Letizia], Rivolta, M.W.[Massimo W.], Brambilla, P.[Paolo], Sassi, R.[Roberto],
Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia,
CIAP17(I:265-275).
Springer DOI 1711
BibRef

Khodaei, A., Hossein-Zadeh, G.A., Ananloo, E.S.,
Comparison of volumes of subcortical regions in schizophrenia patients and healthy controls using MRI,
IPRIA15(1-5)
IEEE DOI 1603
biomedical MRI BibRef

Cetin, M.S.[Mustafa S], Stephen, J.M.[Julia M.], Calhoun, V.D.[Vince D.],
Sensory load hierarchy-based classification of schizophrenia patients,
ICIP15(467-471)
IEEE DOI 1512
classification BibRef

Ulas, A.[Aydin], Castellani, U.[Umberto], Mirtuono, P.[Pasquale], Bicego, M.[Manuele], Murino, V.[Vittorio], Cerruti, S.[Stefania], Bellani, M.[Marcella], Atzori, M.[Manfredo], Rambaldelli, G.[Gianluca], Tansella, M.[Michele], Brambilla, P.[Paolo],
Multimodal Schizophrenia Detection by Multiclassification Analysis,
CIARP11(491-498).
Springer DOI 1111
BibRef

Michael, A.M.[Andrew M.], Fries, J.F.[Jill F.], Baum, S.A.[Stefi A.], Ho, B.C.[Beng C.], Andreasen, N.C.[Nancy C.], Calhoun, V.D.[Vince D.],
A Method to Analyze Correlations between Multiple Brain Imaging Tasks to Characterize Schizophrenia,
Southwest08(125-128).
IEEE DOI 0803
BibRef

Wang, P.[Peng], Kohler, C.[Christian], Martin, E.[Elizabeth], Stolar, N.[Neal], Verma, R.[Ragini],
Learning-based analysis of emotional impairments in schizophrenia,
MMBIA08(1-8).
IEEE DOI 0806
BibRef

Wang, P.[Peng], Kohler, C.[Christian], Barrett, F.[Fred], Gur, R.[Raquel], Gur, R.[Ruben], Verma, R.[Ragini],
Quantifying Facial Expression Abnormality in Schizophrenia by Combining 2D and 3D Features,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Liu, Y., Teverovskiy, L., Carmichael, O.T., Kikinis, R., Shenton, M., Carter, C.S., Stenger, V.A., Davis, S., Aizenstein, H., Becker, J., Lopez, O., Meltzer, C.,
Discriminative MR Image Feature Analysis for Automatic Schizophrenia and Alzheimer's Disease Classification,
CMU-RI-TR-04-15, March, 2004.
HTML Version. 0501
BibRef

Chapter on Medical Applications, CAT, MRI, Ultrasound, Heart Models, Brain Models continues in
Brain, Stroke, Ischemic Stroke .


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