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3. Promoting the Mental Health of University Students in China: Protocol for Contextual Assessment to Inform Intervention Design and Adaptation

6. Helping Primary Care Teams Provide Culturally Appropriate Care for Diverse Patients

8. A Comparison of the Demographic and Clinical Characteristics of Caregivers of Autistic Children and Caregivers of Children with Fetal Alcohol Spectrum Disorder

14. Myocardial Strain Measured by Cardiac Magnetic Resonance Predicts Cardiovascular Morbidity and Death.

15. Report of the ACBS Task Force on the strategies and tactics of contextual behavioral science research

19. Empowering Chinese university health service providers to become mental health champions: insights from the ACE-LYNX intervention.

24. ACT Processes in Group Intervention for Mothers of Children with Autism Spectrum Disorder

26. Traditional postpartum rituals among immigrant and non-immigrant Chinese women.

27. Parent, child, and family outcomes following Acceptance And Commitment Therapy for parents of autistic children: A randomized controlled trial.

31. Taking Action on Racism and Structural Violence in Psychiatric Training and Clinical Practice.

34. Genome-Wide Analysis of Left Ventricular Image-Derived Phenotypes Identifies Fourteen Loci Associated With Cardiac Morphogenesis and Heart Failure Development

35. ACT Processes in Group Intervention for Mothers of Children with Autism Spectrum Disorder

37. Fully-automated left ventricular mass and volume MRI analysis in the UK Biobank population cohort: evaluation of initial results

38. Commentary: Predictors of professional help-seeking intention toward depression among community-dwelling populations: a structural equation modeling analysis.

40. Changes in Cardiac Morphology and Function in Individuals With Diabetes Mellitus: The UK Biobank Cardiovascular Magnetic Resonance Substudy

43. Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study

49. Automated cardiovascular magnetic resonance image analysis with fully convolutional networks

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