Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Browse by Current Cardiff authors

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Number of items: 8.

Piazzese, Concetta, 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
file

Piazzese, Concetta, Foley, Kieran, Whybra, Philip, Hurt, Chris, Crosby, Tom and Spezi, Emiliano 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
filefile

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

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
file

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
file

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

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

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
file

This list was generated on Tue Mar 2 04:20:28 2021 GMT.


Maintained by Cardiff University Information Services