Azarmehr, Neda, Dr

91ֱ��

Dr Neda Azarmehr

BSc, MSc, PhD

School of Clinical Dentistry

Postdoctoral Research Fellow

n.azarmehr@sheffield.ac.uk

19 Claremont Crescent

Full contact details

Dr Neda Azarmehr
School of Clinical Dentistry
19 Claremont Crescent
91ֱ��
S10 2TA

Profile

Neda obtained her PhD in Computer Science/Artificial Intelligence from University of Lincoln. Her PhD project was collaboration with Imperial College London to develop automated models using deep learning, computer vision algorithm, and medical image analysis to assess the left ventricle function which enables physicians to analyse cardiac echo images more precisely.

She has completed undergraduate studies in Health Information Technology, following a MSc degree in Big Data Analytics. She has a strong interest in teaching and research in the field of application of Artificial Intelligence in medical application. Before joining 91ֱ��, Neda worked as an associate lecturer in the field of Computer Science at different UK higher education institutions.

Research interests

Neda's research interests are mainly centred on algorithm development, computer vision, machine learning, deep learning, medical image analysis.

Neda’s current research focuses on developing automated models using Artificial Intelligence for early oral cancer detection (Supervisor: Dr Ali Khurram) on the multidisciplinary collaboration with CR_UK ANTICIPATE study with Professor Rajpoot, University of Warwick.

She has published research articles in national and international journals and conferences, including a book. Neda is a reviewer for several peer-reviewed international journals.

Publications

Journal articles

Azarmehr N, Ye X, Howard JP, Lane ES, Labs R, Shun-Shin MJ, Cole GD, Bidaut L, Francis DP & Zolgharni M (2021) . Journal of Medical Imaging, 8(3).
Lane ES, Azarmehr N, Jevsikov J, Howard JP, Shun-shin MJ, Cole GD, Francis DP & Zolgharni M (2021) . Computers in Biology and Medicine, 133.
Azarmehr N, Ye X, Howes JD, Docking B, Howard JP, Francis DP & Zolgharni M (2020) . Medical and Biological Engineering and Computing, 58(6), 1309-1323.
Bashir RMS, Shephard AJ, Mahmood H, Azarmehr N, Raza SEA, Khurram SA & Rajpoot NM () . The Journal of Pathology.
Azarmehr N, Ye X, Janan F, Howard JP, Francis DP & Zolgharni M () Automated Segmentation of Left Ventricle in 2D echocardiography using deep learning. MIDL/2019/ExtendedAbstract/Sye8klvmcN; MyUni-UID.

Chapters

Azarmehr N, Shephard A, Mahmood H, Rajpoot N & Khurram SA (2022) , Medical Image Understanding and Analysis (pp. 357-370). Springer International Publishing

Conference proceedings papers

Lane E, Azarmehr N, Jevsikov J, Howard JP, Shun-shin MJ, Francis DP & Zolgharni M (2021) Echocardiographic Phase Detection Using Neural Networks. Echocardiographic Phase Detection Using Neural Networks
Labs RB, Vrettos A, Azarmehr N, Howard JP, Shun-shin MJ, Cole GD, Francis DP & Zolgharni M (2020) Automated Assessment of Image Quality in 2D Echocardiography Using Deep Learning. Automated Assessment of Image Quality in 2D Echocardiography Using Deep Learning
Azarmehr N, Ye X, Sacchi S, Howard JP, Francis DP & Zolgharni M (2020) (pp 497-504)

Preprints

Alsanie I, Shephard A, Azarmehr N, Rajpoot N & Khurram SA (2022) , Research Square Platform LLC.

Grants: Funded by CR UK

Teaching interests: Artificial Intelligence in medical domain, Machine Learning.

Professional activities and memberships: Member of Insigneo Institute for in silico Medicine.