1.      José Martínez-Más, Andrés Bueno-Crespo, Shan Khazendar, Manuel Remezal-Solano, Juan-Pedro Martínez-Cendán, Sabah Jassim, Hongbo Du, Hisham Al Assam, Tom Bourne, Dirk Timmerman, Evaluation of machine learning methods with Fourier Transform features for classifying ovarian tumors based on ultrasound images, 2019, PLoS ONE 14(7): e0219388

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=hLTHcRMAAAAJ&citation_for_view=hLTHcRMAAAAJ:UeHWp8X0CEIC

 2. Khazendar S., Sayasneh A., Al-Assam H., Du H., Kaijser J., Ferrara L., Timmerman D., Jassim S., Bourne T., 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 & vision in ObGyn,  2015, Vol. 7, No.1, pp. 7-15.

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=hLTHcRMAAAAJ&citation_for_view=hLTHcRMAAAAJ:9yKSN-GCB0IC

3.       Khazendar S.,Farren J., Al-Assam H., Sayasneh A., Du H., Jassim S., Bourne T., Automatic Identification of Miscarriage Cases Supported by Decision Strength using Ultrasound Images of the Gestational Sac, Annals of the BMVA, UK, 2015, No. 5, (pp. 1−16). 

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=hLTHcRMAAAAJ&citation_for_view=hLTHcRMAAAAJ:d1gkVwhDpl0C

4.       Khazendar S., Sayasneh A., Al-Assam H., Du H., Kaijser J., Ferrara L., Timmerman D., Jassim S., Bourne T., Automated Classification of Static Ultrasound Images of Ovarian Tumours based on Decision Level Fusion, 6th Computer Science and Electronic Engineering Conference (CEEC), University of Essex, UK, 2014, (pp. 148-153), IEEE.

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=hLTHcRMAAAAJ&citation_for_view=hLTHcRMAAAAJ:u5HHmVD_uO8C

5.       Khazendar S.,Farren J., Al-Assam H., Sayasneh A., Du H., Jassim S., Bourne T., Automatic Identification of Early Miscarriage Based on Multiple Features Extracted From Ultrasound Images, Medical Image Understanding and Analysis Conference MIUA, City University London, UK, 2014, (pp.131-136).

 https://scholar.google.com/citations?view_op=view_citation&hl=en&user=hLTHcRMAAAAJ&citation_for_view=hLTHcRMAAAAJ:d1gkVwhDpl0C

6.       Khazendar S.,Farren J., Al-Assam H., Sayasneh A., Du H., Jassim S., Bourne T., Automatic Segmentation and Classification of Gestational Sac Based on Mean Sac Diameter using Medical Ultrasound Image, SPIE Sensing Technology+ Applications. International Society for Optics and Photonics, Baltimore, Maryland, USA, 2014, vol. 9120, (pp. 91200A-91200A).

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=hLTHcRMAAAAJ&citation_for_view=hLTHcRMAAAAJ:2osOgNQ5qMEC

7.  Computer-aided diagnosis of gynaecological abnormality using B-mode ultrasound images,

https://scholar.google.com/citationsview_op=view_citation&hl=en&user=hLTHcRMAAAAJ&citation_for_view=hLTHcRMAAAAJ:qjMakFHDy7sC

 Posters

                       1.            Khazendar S., Sayasneh A., Du H., Timmerman D., Bourne T., Preisler J., Guha S., Kaijser J., Jassim S.,  Enhancing Static Ultrasound Images for Classification of Types of Human Ovarian Tumour, Biotrinity Meeting, , Newbury, Berkshire, UK,  2013.

                       2.            Khazendar S., Sayasneh A., Du H., Timmerman D., Bourne T., Preisler J., Kaijser J., Jassim S., A Preliminary Study of Automatic Classification of Ultrasound Images of Ovarian Tumours using Support Vector Machine classifier, Human Capacity Development Program HCDP, Kurdistan students conference, University of Nottingham, Nottingham, UK, 2013.