126 related articles for article (PubMed ID: 38082903)
1. A Deep Learning Approach for Psychosis Spectrum Label Noise Detection from Multimodal Neuroimaging Data.
Rokham H; Falakshahi H; Calhoun VD
Annu Int Conf IEEE Eng Med Biol Soc; 2023 Jul; 2023():1-4. PubMed ID: 38082903
[TBL] [Abstract][Full Text] [Related]
2. A meta-analysis and systematic review of single vs. multimodal neuroimaging techniques in the classification of psychosis.
Porter A; Fei S; Damme KSF; Nusslock R; Gratton C; Mittal VA
Mol Psychiatry; 2023 Aug; 28(8):3278-3292. PubMed ID: 37563277
[TBL] [Abstract][Full Text] [Related]
3. Reading the (functional) writing on the (structural) wall: Multimodal fusion of brain structure and function via a deep neural network based translation approach reveals novel impairments in schizophrenia.
Plis SM; Amin MF; Chekroud A; Hjelm D; Damaraju E; Lee HJ; Bustillo JR; Cho K; Pearlson GD; Calhoun VD
Neuroimage; 2018 Nov; 181():734-747. PubMed ID: 30055372
[TBL] [Abstract][Full Text] [Related]
4. Evaluation of boundaries between mood and psychosis disorder using dynamic functional network connectivity (dFNC) via deep learning classification.
Rokham H; Falakshahi H; Fu Z; Pearlson G; Calhoun VD
Hum Brain Mapp; 2023 Jun; 44(8):3180-3195. PubMed ID: 36919656
[TBL] [Abstract][Full Text] [Related]
5. Addressing Inaccurate Nosology in Mental Health: A Multilabel Data Cleansing Approach for Detecting Label Noise From Structural Magnetic Resonance Imaging Data in Mood and Psychosis Disorders.
Rokham H; Pearlson G; Abrol A; Falakshahi H; Plis S; Calhoun VD
Biol Psychiatry Cogn Neurosci Neuroimaging; 2020 Aug; 5(8):819-832. PubMed ID: 32771180
[TBL] [Abstract][Full Text] [Related]
6. Integrating machining learning and multimodal neuroimaging to detect schizophrenia at the level of the individual.
Lei D; Pinaya WHL; Young J; van Amelsvoort T; Marcelis M; Donohoe G; Mothersill DO; Corvin A; Vieira S; Huang X; Lui S; Scarpazza C; Arango C; Bullmore E; Gong Q; McGuire P; Mechelli A
Hum Brain Mapp; 2020 Apr; 41(5):1119-1135. PubMed ID: 31737978
[TBL] [Abstract][Full Text] [Related]
7. Multi-modal deep learning of functional and structural neuroimaging and genomic data to predict mental illness.
Rahaman MA; Chen J; Fu Z; Lewis N; Iraji A; Calhoun VD
Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3267-3272. PubMed ID: 34891938
[TBL] [Abstract][Full Text] [Related]
8. Psychotic Symptom, Mood, and Cognition-associated Multimodal MRI Reveal Shared Links to the Salience Network Within the Psychosis Spectrum Disorders.
Liang C; Pearlson G; Bustillo J; Kochunov P; Turner JA; Wen X; Jiang R; Fu Z; Zhang X; Li K; Xu X; Zhang D; Qi S; Calhoun VD
Schizophr Bull; 2023 Jan; 49(1):172-184. PubMed ID: 36305162
[TBL] [Abstract][Full Text] [Related]
9. Investigating brain structural patterns in first episode psychosis and schizophrenia using MRI and a machine learning approach.
de Moura AM; Pinaya WHL; Gadelha A; Zugman A; Noto C; Cordeiro Q; Belangero SI; Jackowski AP; Bressan RA; Sato JR
Psychiatry Res Neuroimaging; 2018 May; 275():14-20. PubMed ID: 29548527
[TBL] [Abstract][Full Text] [Related]
10. Application of a Machine Learning Algorithm for Structural Brain Images in Chronic Schizophrenia to Earlier Clinical Stages of Psychosis and Autism Spectrum Disorder: A Multiprotocol Imaging Dataset Study.
Zhu Y; Nakatani H; Yassin W; Maikusa N; Okada N; Kunimatsu A; Abe O; Kuwabara H; Yamasue H; Kasai K; Okanoya K; Koike S
Schizophr Bull; 2022 May; 48(3):563-574. PubMed ID: 35352811
[TBL] [Abstract][Full Text] [Related]
11. Chromatic fusion: Generative multimodal neuroimaging data fusion provides multi-informed insights into schizophrenia.
Geenjaar EPT; Lewis NL; Fedorov A; Wu L; Ford JM; Preda A; Plis SM; Calhoun VD
Hum Brain Mapp; 2023 Dec; 44(17):5828-5845. PubMed ID: 37753705
[TBL] [Abstract][Full Text] [Related]
12. 3D-CNN based discrimination of schizophrenia using resting-state fMRI.
Qureshi MNI; Oh J; Lee B
Artif Intell Med; 2019 Jul; 98():10-17. PubMed ID: 31521248
[TBL] [Abstract][Full Text] [Related]
13. Deep multimodal predictome for studying mental disorders.
Rahaman MA; Chen J; Fu Z; Lewis N; Iraji A; van Erp TGM; Calhoun VD
Hum Brain Mapp; 2023 Feb; 44(2):509-522. PubMed ID: 36574598
[TBL] [Abstract][Full Text] [Related]
14. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
Spasov S; Passamonti L; Duggento A; Liò P; Toschi N;
Neuroimage; 2019 Apr; 189():276-287. PubMed ID: 30654174
[TBL] [Abstract][Full Text] [Related]
15. Effective connectivity within a triple network brain system discriminates schizophrenia spectrum disorders from psychotic bipolar disorder at the single-subject level.
Palaniyappan L; Deshpande G; Lanka P; Rangaprakash D; Iwabuchi S; Francis S; Liddle PF
Schizophr Res; 2019 Dec; 214():24-33. PubMed ID: 29398207
[TBL] [Abstract][Full Text] [Related]
16. Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis.
Moser DA; Doucet GE; Lee WH; Rasgon A; Krinsky H; Leibu E; Ing A; Schumann G; Rasgon N; Frangou S
JAMA Psychiatry; 2018 Apr; 75(4):386-395. PubMed ID: 29516092
[TBL] [Abstract][Full Text] [Related]
17. Using deep autoencoders to identify abnormal brain structural patterns in neuropsychiatric disorders: A large-scale multi-sample study.
Pinaya WHL; Mechelli A; Sato JR
Hum Brain Mapp; 2019 Feb; 40(3):944-954. PubMed ID: 30311316
[TBL] [Abstract][Full Text] [Related]
18. Transdiagnostic Multimodal Neuroimaging in Psychosis: Structural, Resting-State, and Task Magnetic Resonance Imaging Correlates of Cognitive Control.
Lerman-Sinkoff DB; Kandala S; Calhoun VD; Barch DM; Mamah DT
Biol Psychiatry Cogn Neurosci Neuroimaging; 2019 Oct; 4(10):870-880. PubMed ID: 31327685
[TBL] [Abstract][Full Text] [Related]
19. Multimodal MRI-Based Whole-Brain Assessment in Patients In Anoxoischemic Coma by Using 3D Convolutional Neural Networks.
Mattia GM; Sarton B; Villain E; Vinour H; Ferre F; Buffieres W; Le Lann MV; Franceries X; Peran P; Silva S
Neurocrit Care; 2022 Aug; 37(Suppl 2):303-312. PubMed ID: 35876960
[TBL] [Abstract][Full Text] [Related]
20. Multimodal MRI assessment for first episode psychosis: A major change in the thalamus and an efficient stratification of a subgroup.
Faria AV; Zhao Y; Ye C; Hsu J; Yang K; Cifuentes E; Wang L; Mori S; Miller M; Caffo B; Sawa A
Hum Brain Mapp; 2021 Mar; 42(4):1034-1053. PubMed ID: 33377594
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]