| 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 | 101 | 2009 |
| 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 | 95 | 2019 |
| 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 | 81 | 2015 |
| Esophageal abnormality detection using densenet based faster r-cnn with gabor features N Ghatwary, X Ye, M Zolgharni IEEE Access 7, 84374-84385, 2019 | 78 | 2019 |
| 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 | 77 | 2010 |
| 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 | 60 | 2009 |
| 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 | 59 | 2020 |
| 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 | 49 | 2022 |
| 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 | 48 | 2008 |
| 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 | 41 | 2007 |
| 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 | 35 | 2021 |
| 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 | 31 | 2014 |
| 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 | 29 | 2017 |
| 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 | 28 | 2021 |
| Microfluidic device W Balachandran, SM Azimi, J Ahern, M Zolgharni, MR Bahmanyar, ... US Patent App. 12/442,993, 2010 | 28 | 2010 |
| 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 | 26 | 2020 |
| A critical review of digital technology innovations for early warning of water-related disease outbreaks associated with climatic hazards CD Girotto, F Piadeh, V Bkhtiari, K Behzadian, AS Chen, LC Campos, ... International Journal of Disaster Risk Reduction 100, 104151, 2024 | 25 | 2024 |
| 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 | 25 | 2020 |
| 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 | 25 | 2018 |
| 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 | 20 | 2014 |
Darrel FrancisImperial College LondonBestätigte E-Mail-Adresse bei imperial.ac.uk