Cardiff University | Prifysgol Caerdydd ORCA
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Number of items: 9.

Piazzese, Concetta ORCID: https://orcid.org/0000-0002-3605-1809, Evans, Elin, Thomas, Betsan, Staffurth, John ORCID: https://orcid.org/0000-0002-7834-3172, Gwynne, Sarah and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 2021. FIELDRT: an open-source platform for the assessment of target volume delineation in radiation therapy. British Journal of Radiology 94 (1126) , 20210356. 10.1259/bjr.20210356
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Piazzese, Concetta ORCID: https://orcid.org/0000-0002-3605-1809, Carminati, M. Chiara, Krause, Rolf, Auricchio, Angelo, Weinert, Lynn, Gripari, Paola, Tamborini, Gloria, Pontone, Gianluca, Andreini, Daniele, Lang, Roberto M., Pepi, Mauro and Caiani, Enrico G. 2020. 3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method. Biomedical Signal Processing and Control 58 , 101866. 10.1016/j.bspc.2020.101866
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Piazzese, Concetta ORCID: https://orcid.org/0000-0002-3605-1809, Foley, Kieran, Whybra, Philip, Hurt, Chris ORCID: https://orcid.org/0000-0003-1206-8355, Crosby, Tom and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 2019. Discovery of stable and prognostic CT-based radiomic features independent of contrast administration and dimensionality in oesophageal cancer. PLoS ONE 14 (11) , e0225550. 10.1371/journal.pone.0225550
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Evans, E., Piazzese, C. ORCID: https://orcid.org/0000-0002-3605-1809, Spezi, E. ORCID: https://orcid.org/0000-0002-1452-8813, Staffurth, J. ORCID: https://orcid.org/0000-0002-7834-3172 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

Piazzese, C. ORCID: https://orcid.org/0000-0002-3605-1809, Whybra, P., Qasem, E., Harris, D., Gtaes, R., Foley, Kieran and Spezi, E. ORCID: https://orcid.org/0000-0002-1452-8813 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

Piazzese, Concetta ORCID: https://orcid.org/0000-0002-3605-1809, Whybra, Philip, Carrington, R., Crosby, T., Staffurth, John ORCID: https://orcid.org/0000-0002-7834-3172, Foley, Kieran and Spezi, Emiliano ORCID: https://orcid.org/0000-0002-1452-8813 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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Piazzese, C. ORCID: https://orcid.org/0000-0002-3605-1809, Whybra, P., Qasem, E., Harris, D., Gtaes, R., Foley, K. and Spezi, E. ORCID: https://orcid.org/0000-0002-1452-8813 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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Carminati, M.C., Piazzese, C. ORCID: https://orcid.org/0000-0002-3605-1809, 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

Piazzese, C. ORCID: https://orcid.org/0000-0002-3605-1809, Whybra, P., Carrington, R., Crosby, T., Staffurth, J. ORCID: https://orcid.org/0000-0002-7834-3172, Foley, K. and Spezi, E. ORCID: https://orcid.org/0000-0002-1452-8813 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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This list was generated on Sun May 19 13:48:37 2024 BST.