Publications by authors named "Saadullah Farooq Abbasi"

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Recent Advances in Generative Models for Synthetic Brain MRI Image Generation.
Xuefei Ding, Linxue Bai, Saadullah Farooq Abbasi, Omid Pournik, Theodoros Arvanitis

Stud Health Technol Inform· June 2025

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A Novel and Secure 3D Colour Medical Image Encryption Technique Using 3D Hyperchaotic Map, S-box and Discrete Wavelet Transform.
Saadullah Farooq Abbasi, Reehab Ahmad, Teesta Mukherjee, Xuefei Ding, Linxue Bai

Stud Health Technol Inform· June 2025

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Analysing the Association Between User Perceptions and Usage Patterns of Digital Personalised Care Platforms Using the UTAUT Framework: Insights from the ADLIFE Project.
Omid Pournik, Teesta Mukherjee, Saadullah Farooq Abbasi, Xuefei Ding, Linxue Bai

Stud Health Technol Inform· June 2025

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Advances in breast cancer diagnosis: a comprehensive review of imaging, biosensors, and emerging wearable technologies.
Abdul Qadeer Khan, Manahil Touseeq, Sara Rehman, Maria Tahir, Malaika Ashfaq, Saadullah Farooq Abbasi

Front Oncol· June 2025

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Patients vs. Healthcare Providers: A Comparative Analysis of Technology Acceptance Using the UTAUT Model.
Omid Pournik, Teesta Mukherjee, Shramika Panchal, Saadullah Farooq Abbasi, Juan de la Torre Pardos

Stud Health Technol Inform· May 2025

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Preliminary Exploration of Pre-Trained Vision-Language Models for Cyber-Threat Modelling in Internet of Medical Things (IoMT).
Saadullah Farooq Abbasi, Muhammad Bilal, Teesta Mukherjee, Omid Pournik, Nabil Moukafih

Stud Health Technol Inform· May 2025

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Transforming Healthcare: The Role of Artificial Intelligence.
Azam Aslani, Omid Pournik, Saadullah Farooq Abbasi, Theodoros N Arvanitis

Stud Health Technol Inform· May 2025

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Preliminary Results on Improved Synthetic Image Generation for Melanoma Skin Cancer.
Saadullah Farooq Abbasi, Muhammad Bilal, Teesta Mukherjee, Saif Ul Islam, Omid Pournik

Stud Health Technol Inform· April 2025

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Understanding User Experiences on Patient Empowerment and Personalised Care Platforms: A Longitudinal Analysis Through the Extended UTAUT Model.
Omid Pournik, Teesta Mukherjee, Saadullah Farooq Abbasi, Juan de la Torre Pardos, Angel Moro Delgado

Stud Health Technol Inform· April 2025

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A novel transformer-based approach for cardiovascular disease detection.
Nimra Noor, Muhammad Bilal, Saadullah Farooq Abbasi, Omid Pournik, Theodoros N Arvanitis

Front Digit Health· April 2025

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EEG electrode setup optimization using feature extraction techniques for neonatal sleep state classification.
Hafza Ayesha Siddiqa, Muhammad Farrukh Qureshi, Arsalan Khurshid, Yan Xu, Laishuan Wang, Saadullah Farooq Abbasi

Front Comput Neurosci· January 2025

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Development of a CNN for Adult Brain Tumour Characterisation: Implications and Future Directions for Transfer Learning.
Teesta Mukherjee, Shramika Gour, Saadullah Farooq Abbasi, Omid Pournik, Theodoros N Arvanitis

Stud Health Technol Inform· August 2024

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Deep Learning-Based Synthetic Skin Lesion Image Classification.
Saadullah Farooq Abbasi, Muhammad Bilal, Teesta Mukherjee, James Churm, Omid Pournik

Stud Health Technol Inform· August 2024

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INSAFEDARE Project: Innovative Applications of Assessment and Assurance of Data and Synthetic Data for Regulatory Decision Support.
Parisis Gallos, Nicholas Matragkas, Saif Ul Islam, Gregory Epiphaniou, Scott Hansen, Saadullah Farooq Abbasi

Stud Health Technol Inform· August 2024

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Automatic neonatal sleep stage classification: A comparative study.
Saadullah Farooq Abbasi, Awais Abbas, Iftikhar Ahmad, Mohammed S Alshehri, Sultan Almakdi

Heliyon· November 2023

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A convolutional neural network-based decision support system for neonatal quiet sleep detection.
Saadullah Farooq Abbasi, Qammer Hussain Abbasi, Faisal Saeed, Norah Saleh Alghamdi

Math Biosci Eng· August 2023

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Predicting Breast Cancer Leveraging Supervised Machine Learning Techniques.
Sanam Aamir, Aqsa Rahim, Zain Aamir, Saadullah Farooq Abbasi, Muhammad Shahbaz Khan

Comput Math Methods Med· August 2022

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Predicting Feeding Conditions of Premature Infants Through Non-Nutritive Sucking Skills Using a Sensitized Pacifier.
Saeed Akbarzadeh, Tianchan Lyu, Roozbeh Farhoodi, Muhammad Awais, Saadullah Farooq Abbasi

IEEE Trans Biomed Eng· July 2022

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A Hybrid DCNN-SVM Model for Classifying Neonatal Sleep and Wake States Based on Facial Expressions in Video.
Muhammad Awais, Xi Long, Bin Yin, Saadullah Farooq Abbasi, Saeed Akbarzadeh

IEEE J Biomed Health Inform· May 2021

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Can pre-trained convolutional neural networks be directly used as a feature extractor for video-based neonatal sleep and wake classification?
Muhammad Awais, Xi Long, Bin Yin, Chen Chen, Saeed Akbarzadeh, Saadullah Farooq Abbasi

BMC Res Notes· November 2020

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Evaluation of Apgar Scores and Non-Nutritive Sucking Skills in Infants Using a Novel Sensitized Non-Nutritive Sucking System.
Saeed Akbarzadeh, Roozbeh Farhoodi, Tianchan Lyu, Muhammad Awais, Xian Zhao, Saadullah Farooq Abbasi

Annu Int Conf IEEE Eng Med Biol Soc· July 2020

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