Items where Author is "Howard, James P."

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Number of items: 6.

Article

De Melo Ribeiro, Henrique, Arnold, Ahran, Howard, James P., Shun-Shin, Matthew J., Zhang, Ying, Francis, Darrel P., Lim, Phang B., Whinnett, Zachary and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2022) ECG-based real-time arrhythmia monitoring using quantized deep neural networks: a feasibility study. Computers in Biology and Medicine, 143. p. 105249. ISSN 0010-4825

Azarmehr, Neda, Ye, Xujiong, Howard, James P., Lane, Elisabeth S., Labs, Robert, Shun-Shin, Matthew J., Cole, Graham D., Bidaut, Luc, Francis, Darrel P. and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2021) Neural architecture search of echocardiography view classifiers. Journal of Medical Imaging, 8 (03). ISSN 2329-4302

Howard, James P., Stowell, Catherine C., Cole, Graham D., Ananthan, Kajaluxy, Demetrescu, Camelia D., Pearce, Keith, Rajani, Ronak, Sehmi, Jobanpreet, Vimalesvaran, Kavitha, Kanaganayagam, G. Sunthar, McPhail, Eleanor, Ghosh, Arjun K., Chambers, John B., Singh, Amar P., Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Rana, Bushra, Francis, Darrel P. and Shun-Shin, Matthew J. (2021) Automated left ventricular dimension assessment using artificial intelligence developed and validated by a UK-wide collaborative. Circulation: Cardiovascular Imaging, 14 (5). pp. 405-415. ISSN 1941-9651

Lane, Elisabeth S., Azarmehr, Neda, Jevsikov, Jevgeni, Howard, James P., Shun-shin, Matthew J., Cole, Graham D., Francis, Darrel P. and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2021) Multibeat echocardiographic phase detection using deep neural networks. Computers in Biology and Medicine, 133. p. 104373. ISSN 0010-4825

Azarmehr, Neda, Ye, Xujiong, Howes, Joseph D., Docking, Benjamin, Howard, James P., Francis, Darrel P. and Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904 (2020) An optimisation-based iterative approach for speckle tracking echocardiography. Medical & Biological Engineering & Computing, 58 (6). pp. 1309-1323. ISSN 0140-0118

Howard, James P., Tan, Jeremy, Shun-Shin, Matthew J., Mahdi, Dina, Nowbar, Alexandra N., Arnold, Ahran D., Ahmad, Yousif, McCartney, Peter, Zolgharni, Massoud ORCID: https://orcid.org/0000-0003-0904-2904, Linton, Nick W. F., Sutaria, Nilesh, Rana, Bushra, Mayet, Jamil, Rueckert, Daniel, Cole, Graham D. and Francis, Darrel P. (2019) Improving ultrasound video classification: an evaluation of novel deep learning methods in echocardiography. Journal of Medical Artificial Intelligence.

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