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Mowafa Househ

Associate Professor

Hamad Bin Khalifa University

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Articles (19)

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2026

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2023

Collaborators (7)

Markus Hadwiger

Professor, Computer Science

King Abdullah University of Science and Technology

SAUDI ARABIA

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Barry Solaiman

Associate Professor of Law & Associate Dean

Hamad Bin Khalifa University

QATAR

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Corrado Calì

Associate Professor

University of Turin

ITALY

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Marco Agus

Associate Professor

Hamad Bin Khalifa University

QATAR

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Mohamed Khalifa

Macquarie University

AUSTRALIA

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Jens Schneider

Associate Professor

Hamad Bin Khalifa University

QATAR

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Ali Aljaafreh

NLiC Lecturer

Australian Catholic University

AUSTRALIA

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Mowafa Househ

Research Interests

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Articles (19)

NeMoCo: Self-supervised contrastive learning for ultrastructural 3D neuroscience morphologies

Virtual Staging of Indoor Panoramic Images via Multitask Learning and Inverse Rendering

Digital mental health needs a purpose-driven approach

Continuous Glucose Monitoring and Personalized Nutrition in Type 2 Diabetes – A Scoping Review

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review

Sukunn: Bridging Spiritual Heritage and Modern Digital Mental Health

Demonstrating a Social Intelligence Analysis Framework for Loneliness: Infodemiology Approach

AI-guided immersive exploration of brain ultrastructure for collaborative analysis and education

Biased AI: A Case for Positive Bias in Healthcare AI

Retrieval Augmented Generation System for Mental Health Information

Understanding Loneliness Through Analysis of Twitter and Reddit Data: Comparative Study

The Use of Deep Learning in the Diagnosis and Prediction of Heart Failure: A scoping review

FetSAM: Advanced Segmentation Techniques for Fetal Head Biometrics in Ultrasound Imagery

The performance of serious games for enhancing attention in cognitively impaired older adults

Understanding Loneliness in Younger People: Review of the Opportunities and Challenges for Loneliness Interventions

Automated Conversion of Ultrasound Pixel Dimensions to Millimeters using Deep Learning Models

The Effectiveness of Wearable Devices Using Artificial Intelligence for Blood Glucose Level Forecasting or Prediction: Systematic Review

Correction: Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review

Wearable Artificial Intelligence for Anxiety and Depression: Scoping Review

Collaborators (7)

Markus Hadwiger

Barry Solaiman

Corrado Calì

Marco Agus

Mohamed Khalifa

Jens Schneider

Ali Aljaafreh

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