Mon-Ju Wu - Concepedia

Author

Mon-Ju Wu

The University of Texas Health Science Center at Houston

Also Known As

Benson Irungu, Heather C. Whalley, Mon-Ju Wu, Thomas W. Weickert, Tony T. Yang, Wu, Mon-Ju

Publications

1.1K

Citations

H-Index

Concepts

All Affiliations

The University of Texas Health Science Center at Houston Universidade Federal do Rio Grande do Sul University of Cape Town Harvard University University of Münster

About

Mon-Ju Wu is an author at The University of Texas Health Science Center at Houston specializing in psychiatry, medicine, and neuroscience.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	9	9	719
2	Social Sciences	7	7	519
3	Health Sciences	3	3	123
4	Engineering	1	1	26
5	Biomedical Engineering	1	1	26

Mon-Ju Wu

Publications

825

Citations

H-Index

Page 1

	Year	Citations
Identifying a clinical signature of suicidality among patients with mood disorders: A pilot study using a machine learning approach Ives Cavalcante Passos, Benson Mwangi, Bo Cao, Journal of Affective Disorders Pilot StudyHealth InformaticsPsychopathologyPsychiatryMood Symptom	2016	189
Lifespan Gyrification Trajectories of Human Brain in Healthy Individuals and Patients with Major Psychiatric Disorders Bo Cao, Benson Mwangi, Ives Cavalcante Passos, Scientific Reports Gyrification TrajectoriesNeuropsychologyLifespan Gyrification TrajectoriesHealthy IndividualsBrain Function	2017	135
Individualized Prediction and Clinical Staging of Bipolar Disorders Using Neuroanatomical Biomarkers Benson Mwangi, Mon-Ju Wu, Bo Cao, Biological Psychiatry Cognitive Neuroscience and Neuroimaging Neuroimaging BiomarkersPsychiatryDepressionSchizophreniaNeurophysiological Biomarkers	2016	112
Identification and individualized prediction of clinical phenotypes in bipolar disorders using neurocognitive data, neuroimaging scans and machine learning Mon-Ju Wu, Benson Mwangi, Isabelle E. Bauer, NeuroImage Neuroimaging BiomarkersMachine LearningPsychiatryIndividualized PredictionClinical Phenotypes	2016	105
Brain Aging in Major Depressive Disorder: Results from the ENIGMA Major Depressive Disorder working group Laura K. M. Han, Tim Hahn, Christopher R. K. Ching, Geriatric PsychiatryAgingEnigma MddLongitudinal NeuroimagingGeriatric Neurology	2019	87
Individualized identification of euthymic bipolar disorder using the Cambridge Neuropsychological Test Automated Battery (CANTAB) and machine learning Mon-Ju Wu, Ives Cavalcante Passos, Isabelle E. Bauer, Journal of Affective Disorders NeuropsychologyMachine LearningPsychiatryMood SymptomSchizophrenia	2015	49
Tendon Strain Measurements With Dynamic Ultrasound Images: Evaluation of Digital Image Correlation Gregory Okotie, Sarah Duenwald-Kuehl, Hirohito Kobayashi, Journal of Biomechanical Engineering EngineeringBiomedical EngineeringOrthopedic BiomechanicsVivo Strain MeasurementOrthopaedic Surgery	2012	26
Multi-site benchmark classification of major depressive disorder using machine learning on cortical and subcortical measures V. Belov, Tracy Erwin-Grabner, Moji Aghajani, Scientific Reports	2024	25
Normative Modeling of Brain Morphometry Across the Lifespan Using CentileBrain: Algorithm Benchmarking and Model Optimization Ruiyang Ge, Yuetong Yu, Yi Xuan Qi,	2023	20
Treatment Retention Among Patients Participating in Coordinated Specialty Care for First-Episode Psychosis: a Mixed-Methods Analysis Jane Hamilton, Devika Srivastava, Danica Womack, The Journal of Behavioral Health Services & Research Family MedicinePsychiatryPsychotic DisorderCoordinated Specialty CareSchizophrenia	2018	18

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