Follow
Massoud Zolgharni
Title
Cited by
Cited by
Year
Imaging cerebral haemorrhage with magnetic induction tomography: numerical modelling
M Zolgharni, PD Ledger, DW Armitage, DS Holder, H Griffiths
Physiological measurement 30 (6), S187, 2009
992009
Early esophageal adenocarcinoma detection using deep learning methods
N Ghatwary, M Zolgharni, X Ye
International journal of computer assisted radiology and surgery 14, 611-621, 2019
782019
Frequency-difference MIT imaging of cerebral haemorrhage with a hemispherical coil array: numerical modelling
M Zolgharni, H Griffiths, PD Ledger
Physiological measurement 31 (8), S111, 2010
742010
Defining the real-world reproducibility of visual grading of left ventricular function and visual estimation of left ventricular ejection fraction: impact of image quality …
GD Cole, NM Dhutia, MJ Shun-Shin, K Willson, J Harrison, CE Raphael, ...
The international journal of cardiovascular imaging 31, 1303-1314, 2015
712015
Esophageal abnormality detection using densenet based faster r-cnn with gabor features
N Ghatwary, X Ye, M Zolgharni
IEEE Access 7, 84374-84385, 2019
582019
Forward modelling of magnetic induction tomography: a sensitivity study for detecting haemorrhagic cerebral stroke
M Zolgharni, PD Ledger, H Griffiths
Medical & biological engineering & computing 47, 1301-1313, 2009
582009
Energy efficiency improvements in dry drilling with optimised diamond-like carbon coatings
M Zolgharni, BJ Jones, R Bulpett, AW Anson, J Franks
Diamond and Related Materials 17 (7-10), 1733-1737, 2008
492008
Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography
JP Howard, J Tan, MJ Shun-Shin, D Mahdi, AN Nowbar, AD Arnold, ...
Journal of medical artificial intelligence 3, 2020
412020
A numerical design study of chaotic mixing of magnetic particles in a microfluidic bio-separator
M Zolgharni, SM Azimi, MR Bahmanyar, W Balachandran
Microfluidics and Nanofluidics 3, 677-687, 2007
412007
ECG-based real-time arrhythmia monitoring using quantized deep neural networks: A feasibility study
HDM Ribeiro, A Arnold, JP Howard, MJ Shun-Shin, Y Zhang, DP Francis, ...
Computers in Biology and Medicine 143, 105249, 2022
332022
Microfluidic device
W Balachandran, SM Azimi, J Ahern, M Zolgharni, MR Bahmanyar, ...
US Patent App. 12/442,993, 2010
282010
Automated aortic Doppler flow tracing for reproducible research and clinical measurements
M Zolgharni, NM Dhutia, GD Cole, MR Bahmanyar, S Jones, SMA Sohaib, ...
IEEE transactions on medical imaging 33 (5), 1071-1082, 2014
272014
Automatic detection of end‐diastolic and end‐systolic frames in 2D echocardiography
M Zolgharni, M Negoita, NM Dhutia, M Mielewczik, K Manoharan, ...
Echocardiography 34 (7), 956-967, 2017
252017
Automated left ventricular dimension assessment using artificial intelligence developed and validated by a UK-wide collaborative
JP Howard, CC Stowell, GD Cole, K Ananthan, CD Demetrescu, K Pearce, ...
Circulation: Cardiovascular Imaging 14 (5), e011951, 2021
222021
Doppler assessment of aortic stenosis: a 25-operator study demonstrating why reading the peak velocity is superior to velocity time integral
S Sacchi, NM Dhutia, MJ Shun-Shin, M Zolgharni, N Sutaria, DP Francis, ...
European Heart Journal-Cardiovascular Imaging 19 (12), 1380-1389, 2018
222018
Learning spatiotemporal features for esophageal abnormality detection from endoscopic videos
N Ghatwary, M Zolgharni, F Janan, X Ye
IEEE Journal of Biomedical and Health Informatics 25 (1), 131-142, 2020
212020
ResDUnet: Residual dilated UNet for left ventricle segmentation from echocardiographic images
A Amer, X Ye, M Zolgharni, F Janan
2020 42nd Annual International Conference of the IEEE Engineering in …, 2020
202020
Guidance for accurate and consistent tissue Doppler velocity measurement: comparison of echocardiographic methods using a simple vendor-independent method for local validation
NM Dhutia, M Zolgharni, K Willson, G Cole, AN Nowbar, D Dawson, ...
European Heart Journal–Cardiovascular Imaging 15 (7), 817-827, 2014
202014
Multibeat echocardiographic phase detection using deep neural networks
ES Lane, N Azarmehr, J Jevsikov, JP Howard, MJ Shun-Shin, GD Cole, ...
Computers in Biology and Medicine 133, 104373, 2021
192021
The cardiff Mk2b MIT head array: Optimising the coil configuration
H Griffiths, M Zolgharni, PD Ledger, S Watson
Journal of Physics: Conference Series 224 (1), 012046, 2010
182010
The system can't perform the operation now. Try again later.
Articles 1–20