Dr Philip Whybra
Research Associate
- whybrap@cardiff.ac.uk
- N/1.51, Adeiladau'r Frenhines - Adeilad y Gogledd, 5 The Parade, Heol Casnewydd, Caerdydd, CF24 3AA
Trosolwg
I have strong links to Cardiff University, having first graduated here with a Masters in Physics (MPhys) in 2015. After time in industry, I re-joined the School of Engineering at Cardiff as a PhD candidate in October 2016. I now continue to work within the Cancer Imaging and Data Analytics (CIDA) team and the Medical Engineering Research Group as a Research Associate.
My research interests are broadly in the topics of Medical Image Analysis, Imaging Biomarkers, and Radiomics. I am curious about all aspects of image analysis that could be used to further personalise cancer treatment.
A key aspect of my work concerns the standardisation of radiomic techniques. This is a necessity to enable transition of any promising research models to use within a clinical setting. Notably, I am a core member of an international effort known as the Image Biomarker Standardisation Initiative (IBSI) (https://theibsi.github.io).
Bywgraffiad
Education and Qualifications
2021: PhD - School of Engineering, Cardiff University, UK
2015: MPhys - School of Physics and Astronomy, Cardiff University, UK
Cyhoeddiadau
2021
- Whybra, P. 2021. Standardisation and optimisation of radiomic techniques for the identification of robust imaging biomarkers in oncology. PhD Thesis, Cardiff University.
- Shi, Z. et al. 2021. Prediction of lymph node metastases using pre-treatment PET radiomics of the primary tumour in esophageal adenocarcinoma: an external validation study. British Journal of Radiology 94(1118), article number: 20201042. (10.1259/bjr.20201042)
2020
- Mori, M. et al. 2020. Training and validation of a robust PET radiomic-based index to predict distant-relapse-free-survival after radio-chemotherapy for locally advanced pancreatic cancer. Radiotherapy and Oncology 153, pp. 258-264. (10.1016/j.radonc.2020.07.003)
- Zwanenburg, A. et al. 2020. The Image Biomarker Standardization Initiative: standardized quantitative radiomics for high throughput image-based phenotyping. Radiology 295(2), pp. 328-338. (10.1148/radiol.2020191145)
2019
- Shi, Z. et al. 2019. External validation of radiation-induced dyspnea models on esophageal cancer radiotherapy patients. Frontiers in Oncology 9, article number: 1411. (10.3389/fonc.2019.01411)
- Piazzese, C., Foley, K., Whybra, P., Hurt, C., Crosby, T. and Spezi, E. 2019. Discovery of stable and prognostic CT-based radiomic features independent of contrast administration and dimensionality in oesophageal cancer. PLoS ONE 14(11), article number: e0225550. (10.1371/journal.pone.0225550)
- Whybra, P., Parkinson, C., Foley, K., Staffurth, J. and Spezi, E. 2019. Assessing radiomic feature robustness to interpolation in 18F-FDG PET imaging. Scientific Reports 9(1), article number: 9649. (10.1038/s41598-019-46030-0)
- Foley, K. G. et al. 2019. External validation of a prognostic model incorporating quantitative PET image features in esophageal cancer. Radiotherapy and Oncology 133, pp. 205-212. (10.1016/j.radonc.2018.10.033)
- Piazzese, C., Whybra, P., Qasem, E., Harris, D., Gtaes, R., Foley, K. and Spezi, E. 2019. EP-1926 Radiomics in rectal cancer: prognostic significance of 3D features extracted from diagnostic MRI. Radiotherapy and Oncology 133(S1), pp. S1048. (10.1016/S0167-8140(19)32346-1)
- Piazzese, C., Whybra, P., Carrington, R., Crosby, T., Staffurth, J., Foley, K. and Spezi, E. 2019. PO-0964 Stability and prognostic significance of CT radiomic features from oesophageal cancer patients. Radiotherapy and Oncology 133(S1), pp. S524-S525. (10.1016/S0167-8140(19)31384-2)
- Whybra, P., Parkinson, C., Foley, K., Staffurth, J. and Spezi, E. 2019. PO-0963 A novel normalisation technique for voxel size dependent radiomic features in oesophageal cancer. Radiotherapy and Oncology 133(S1), pp. S523-S524. (10.1016/S0167-8140(19)31383-0)
- 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, pp. S1048-S1048. (10.1016/S0167-8140(19)32346-1)
- Whybra, P., Parkinson, C., Foley, K., Staffurth, J. and Spezi, E. 2019. A novel normalisation technique for voxel size dependent radiomic features in oesophageal cancer [Abstract]. Radiotherapy and Oncology 133, pp. S523-S524. (10.1016/S0167-8140(19)31383-0)
2018
- Parkinson, C. et al. 2018. Dependency of patient risk stratification on PET target volume definition in oesophageal cancer. Presented at: ESTRO, Barcelona, Spain, 20-24 April 2018.
- Parkinson, C., Whybra, P., Staffurth, J., Marshall, C. and Spezi, E. 2018. ATLAAS - Investigation into the incorporation of morphological data on automated segmentation. Presented at: EANM Congress 2018: European Association of Nuclear Medicine., Dusseldorf, Germany, 12-18 October 2018.
- Parkinson, C. et al. 2018. Evaluation of prognostic models developed using standardised image features from different PET automated segmentation methods. EJNMMI Research 8, article number: 29. (10.1186/s13550-018-0379-3)
- Whybra, P., Foley, K., Parkinson, C., Staffurth, J. and Spezi, E. 2018. Effect of interpolation on 3D texture analysis of PET imaging in oesophageal cancer. Radiotherapy and Oncology 127(S1), pp. S1164-S1165. (10.1016/S0167-8140(18)32426-5)
- Parkinson, C. et al. 2018. Dependency of patient risk stratification on PET target volume definition in Oesophageal cancer. Radiotherapy and Oncology 127(S1), pp. S503-S504. (10.1016/S0167-8140(18)31241-6)
- 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, pp. S1180-S1181. (10.1016/S0167-8140(18)32450-2)
- Zwanenburg, A. et al. 2018. Results from the image biomarker standardisation initiative [Poster]. Radiotherapy and Oncology 127(S1), pp. S543-S544. (10.1016/S0167-8140(18)31291-X)
- Shi, Z. et al. 2018. External validation of radiation-induced dyspnea models on esophageal cancer radiotherapy patients. Radiotherapy and Oncology 127, pp. S168-S168. (10.1016/S0167-8140(18)30628-5)