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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
AlZoubi, Alaa and Zhu, Yi-Cheng and Du, Hongbo and Jiang, Quan and zhang, Tao and Huang, Xu-Juan and Zang, Yuan and Shi, Xiu-Rong and Shan, Jun (2021) Machine Learning Assisted Doppler Features for Enhancing Thyroid Cancer Diagnosis: A Multi-cohort Study. Journal of Ultrasound in Medicine. ISSN 1550-9613
AlZoubi, Alaa and Zhu, Yi-Cheng and Jassim, Sabah A. and Jiang, Quan and Zhang, Yuan and Wang, Yong-Bing and Ye, Xian-De and Du, Hongbo (2020) A generic deep learning framework to classify thyroid and breast lesions in ultrasound images. Ultrasonics. ISSN 0041-624X
Al-karawi, Durgham and Landolfo, Chiara and Du, Hongbo and Al-Assam, Hisham and Sayasneh, Ahmad and Timmerman, Dirk and Bourne, Tom and Jassim, Sabah A. (2019) OC04.04 : A machine-learning algorithm to distinguish benign and malignant adnexal tumours from ultrasound images. In: 29th ISUOG Congress 2019., 12-16 October 2019, Berlin, Germany.
Martínez-Más, José and Bueno-Crespo, Andrés and Khazendar, Shan and Remezal, Manuel and Martínez-Cendán, Juan-Pedro and Jassim, Sabah A. and Du, Hongbo and Al-Assam, Hisham and Bourne, Tom and Timmerman, Dirk (2019) Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images. PloS ONE, 14 (7). pp. 1-14. ISSN 1932-6203
Al-karawi, D. and Landolfo, C. and Du, Hongbo and Al-Assam, Hisham and Sayasneh, A. and Timmerman, Dirk and Bourne, Tom and Jassim, Sabah A. (2019) Prospective clinical evaluation of texture‐based features analysis of ultrasound ovarian scans for distinguishing benign and malignant adnexal tumors. In: Fourth International IOTA Congress, April 18-19 2019, Leuven, Belgium.
Al Abd Alazeez, Ammar and Jassim, Sabah A. and Du, Hongbo (2019) SLDPC: Towards Second Order Learning for Detecting Persistent Clusters in Data Streams. In: 2018 10th Computer Science and Electronic Engineering (CEEC), 19-21 Sept. 2018, Colchester, United Kingdom.
Al Abd Alazeez, Ammar and Jassim, Sabah and Du, Hongbo (2019) TPICDS: A Two-Phase Parallel Approach for Incremental Clustering of Data Streams. In: Euro-Par 2018: Parallel Processing Workshops. Lecture Notes in Computer Science (11339). Springer Cham, pp. 5-16. ISBN 978-3-030-10548-8
Han, Dongxu and Du, Hongbo and Jassim, Sabah A. (2018) Controlling Sensitivity of Gaussian Bayes Predictions based on Eigenvalue Thresholding. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 5 (16). ISSN 2410-0218
Ibrahim, Dheyaa Ahmed and Al-Assam, Hisham and Jassim, Sabah A. and Du, Hongbo (2017) Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images. In: Medical Image Understanding and Analysis. MIUA 2017. Communications in Computer and Information Science, 723 . Springer International Publishing, Cham, pp. 86-97. ISBN 978-3-319-60964-5
Al Okashi, Omar and Du, Hongbo and Al-Assam, Hisham (2017) Automatic pelvis segmentation from x-ray images of a mouse model. In: Proc. SPIE, Mobile Multimedia/Image Processing, Security, and Applications.
Al Okashi, Omar and Du, Hongbo and Al-Assam, Hisham (2017) Automatic Spine Curvature Estimation from X-ray Images of a Mouse Model. Computer Methods and Programs in Biomedicine, 140. pp. 175-184. ISSN 0169-2607
Khazendar, Shan and Sayasneh, Ahmad and Al-Assam, Hisham and Du, Hongbo and Kaijer, J. and Ferrara, L. and Timmerman, Dirk and Jassim, Sabah A. and Bourne, Tom (2015) Automated characterisation of ultrasound images of ovarian tumours: the diagnostic accuracy of a support vector machine and image processing with a local binary pattern operator. Facts, Views and Visions in ObGyn, 7 (16). pp. 7-15. ISSN 2032-0418
Khazendar, Shan and Farren, Jessica and Al-Assam, Hisham and Du, Hongbo and Sayasneh, Ahmed and Bourne, Tom and Jassim, Sabah A. (2015) Automatic Identification of Miscarriage Cases Supported by Decision Strength Using Ultrasound Images of the Gestational Sac. Annals of the BMVA, 2015 (5). pp. 1-16.
