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Ahmad, Mohammed and Du, Hongbo and AlZoubi, Alaa (2023) ENAS-B: Combining ENAS with Bayesian Optimisation for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification from Ultrasound Images. Ultrasound Imaging. ISSN 0161-7346 (In Press)
AlZoubi, Alaa and Lu, Feng and Zhu, Yi-Cheng and Ying, Tao and Ahmed, Mohmmed and Du, Hongbo (2023) Classification of breast lesions in ultrasound images using deep convolutional neural networks: transfer learning versus automatic architecture design. Medical & Biological Engineering & Computing. ISSN 1741-0444
Bose, Anu (2023) Breast Lesion Detection in Ultrasound Images Using Deep Neural Networks: Clustering Based Approach for False Positive Reduction. Doctoral thesis, The University Of Buckingham.
Dassanayake Mudiyanselage, Madara Premawardhana and Sellahewa, Harin (2023) Digital Twins as a Framework for IoT Applications: A Review. In: 2023 7th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI). IEEE, pp. 1-6. ISBN 9798350319262
Ghafuri, Jehan Sherwan Ziad (2023) Algebraic, Topological, and Geometric Driven Convolutional Neural Networks for Ultrasound Imaging Cancer Diagnosis. Doctoral thesis, The University Of Buckingham.
Hassan, Tahir Mohammed (2023) Image Data Preparation For CNN-based Breast Ultrasound Lesion Diagnostic with Reduced Overfitting. Doctoral thesis, The University Of Buckingham.
Madara, Premawardhana and Menatallah, Abdel Azeem and Sandeep, Singh Sengar and Soumyabrata, Dev (2023) On the Impact of Temperature for Precipitation Analysis. In: Evolution in Computational Intelligence. FICTA 2023. Smart Innovation, Systems and Technologies, 370 . Springer, Singapore, pp. 173-186. ISBN 978-981-99-6701-8
Saleela, Divya and Ali, Athar and Ibrahim, Nasir and Suresh, L Padma (2023) Automated Models for the Classification of Magnetic Resonance Brain Tumour Images. 2023 28th International Conference on Automation and Computing (ICAC). pp. 1-6.
