ORCA
Online Research @ CardiffÂ
Browse by Current Cardiff authors
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Number of items: 7.
Piazzese, C., Whybra, P., Qasem, E., Harris, D., Gtaes, R., Foley, K. and Spezi, E.
2019.
Radiomics in rectal cancer: prognostic significance of 3D features extracted from diagnostic MRI [Abstract].
Radiotherapy and Oncology
133
, S1048-S1048.
10.1016/S0167-8140(19)32346-1
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| Piazzese, C., Whybra, P., Qasem, E., Harris, D., Gtaes, R., Foley, Kieran and Spezi, E. 2019. EP-1926 Radiomics in rectal cancer: prognostic significance of 3D features extracted from diagnostic MRI. Radiotherapy and Oncology 133 (S1) , S1048. 10.1016/S0167-8140(19)32346-1 |
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Piazzese, Concetta, Whybra, Philip, Carrington, R., Crosby, T., Staffurth, John, Foley, Kieran and Spezi, Emiliano
2019.
PO-0964 Stability and prognostic significance of CT radiomic features from oesophageal cancer patients.
Radiotherapy and Oncology
133
(S1)
, S524-S525.
10.1016/S0167-8140(19)31384-2
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| Evans, E., Piazzese, C., Spezi, E., Staffurth, J. and Gwynne, S. 2019. EP-1666 ARENA: Improving training in target volume delineation for radiotherapy. Radiotherapy and Oncology 133 (S1) , S896-S897. 10.1016/S0167-8140(19)32086-9 |
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| Carminati, M.C., Piazzese, C., Pepi, M., Tamborini, G., Gripari, P., Pontone, G., Krause, R., Auricchio, A., Lang, R.M. and Caiani, E.G. 2018. A statistical shape model of the left ventricle from real-time 3D echocardiography and its application to myocardial segmentation of cardiac magnetic resonance images. Computers in Biology and Medicine 96 , pp. 241-251. 10.1016/j.compbiomed.2018.03.013 |
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Piazzese, C., Whybra, P., Carrington, R., Crosby, T., Staffurth, J., Foley, K. and Spezi, E.
2018.
Evaluation of 2D and 3D radiomics features extracted from CT images of oesophageal cancer patients.
Radiotherapy and Oncology
127
, S1180-S1181.
10.1016/S0167-8140(18)32450-2
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