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Scopus Author ID: 57198770710

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Employment (2)

Agostino Gemelli University Polyclinic: Rome, IT

2023-01-16 to present | Ricercatore (Direzione Scientifica)
Employment
Source: Self-asserted source
Konstantinos Zormpas-Petridis

Institute of Cancer Research: Sutton, Surrey, GB

2020-10-01 to 2022-12-31 | Post-doctoral Training Fellow (Radiotherapy and Imaging)
Employment
Source: Self-asserted source
Konstantinos Zormpas-Petridis

Education and qualifications (1)

Institute of Cancer Research: Sutton, Surrey, GB

2016-10-03 to 2020-09-30 | PhD (Radiotherapy and Imaging)
Education
Source: Self-asserted source
Konstantinos Zormpas-Petridis

Works (13)

Investigating the contribution of hyaluronan to the breast tumour microenvironment using multiparametric MRI and MR elastography

Molecular Oncology
2023 | Journal article
DOI: 10.1002/1878-0261.13437
EID:

2-s2.0-85158136850

Part of ISSN: 18780261 15747891
Contributors: Reeves, E.L.; Li, J.; Zormpas-Petridis, K.; Boult, J.K.R.; Sullivan, J.; Cummings, C.; Blouw, B.; Kang, D.; Sinkus, R.; Bamber, J.C. et al.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

Radiomics and Radiogenomics of Ovarian Cancer: Implications for Treatment Monitoring and Clinical Management

Radiologic Clinics of North America
2023 | Journal article
DOI: 10.1016/j.rcl.2023.02.006
EID:

2-s2.0-85151424819

Part of ISSN: 15578275 00338389
Contributors: Panico, C.; Avesani, G.; Zormpas-Petridis, K.; Rundo, L.; Nero, C.; Sala, E.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

Radiomics systematic review in cervical cancer: Gynecological oncologists' perspective

International Journal of Gynecological Cancer
2023 | Journal article
DOI: 10.1136/ijgc-2023-004589
EID:

2-s2.0-85171972716

Part of ISSN: 15251438 1048891X
Contributors: Bizzarri, N.; Russo, L.; Dolciami, M.; Zormpas-Petridis, K.; Boldrini, L.; Querleu, D.; Ferrandina, G.; Pedone Anchora, L.; Gui, B.; Sala, E. et al.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRI

Computers in Biology and Medicine
2022 | Journal article
DOI: 10.1016/j.compbiomed.2022.106091
EID:

2-s2.0-85138024707

Part of ISSN: 18790534 00104825
Contributors: Zormpas-Petridis, K.; Tunariu, N.; Collins, D.J.; Messiou, C.; Koh, D.-M.; Blackledge, M.D.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

Accelerating whole-body diffusion-weighted mri with deep learning-based denoising image filters

Radiology: Artificial Intelligence
2021 | Journal article
DOI: 10.1148/ryai.2021200279
EID:

2-s2.0-85120782797

Part of ISSN: 26386100
Contributors: Zormpas-Petridis, K.; Tunariu, N.; Curcean, A.; Messiou, C.; Curcean, S.; Collins, D.J.; Hughes, J.C.; Jamin, Y.; Koh, D.-M.; Blackledge, M.D.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

Noninvasive MRI native T<sub>1</sub> mapping detects response to MYCN-targeted therapies in the Th-MYCN model of neuroblastoma

Cancer Research
2021 | Journal article
DOI: 10.1158/0008-5472.CAN-20-0133
EID:

2-s2.0-85089786982

Part of ISSN: 15387445 00085472
Contributors: Zormpas-Petridis, K.; Poon, E.; Clarke, M.; Jerome, N.P.; Boult, J.K.R.; Blackledge, M.D.; Carceller, F.; Koers, A.; Barone, G.; Pearson, A.D.J. et al.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology Images

Frontiers in Oncology
2021 | Journal article
DOI: 10.3389/fonc.2020.586292
EID:

2-s2.0-85100522622

Part of ISSN: 2234943X
Contributors: Zormpas-Petridis, K.; Noguera, R.; Ivankovic, D.K.; Roxanis, I.; Jamin, Y.; Yuan, Y.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

Investigating the contribution of collagen to the tumor biomechanical phenotype with noninvasive magnetic resonance elastography

Cancer Research
2019 | Journal article
DOI: 10.1158/0008-5472.CAN-19-1595
EID:

2-s2.0-85075082768

Part of ISSN: 15387445 00085472
Contributors: Li, J.; Zormpas-Petridis, K.; Boult, J.K.R.; Reeves, E.L.; Heindl, A.; Vinci, M.; Lopes, F.; Cummings, C.; Springer, C.J.; Chesler, L. et al.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

MRI imaging of the hemodynamic vasculature of neuroblastoma predicts response to antiangiogenic treatment

Cancer Research
2019 | Journal article
DOI: 10.1158/0008-5472.CAN-18-3412
EID:

2-s2.0-85066474295

Part of ISSN: 15387445 00085472
Contributors: Zormpas-Petridis, K.; Jerome, N.P.; Blackledge, M.D.; Carceller, F.; Poon, E.; Clarke, M.; McErlean, C.M.; Barone, G.; Koers, A.; Vaidya, S.J. et al.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma Histopathology

Frontiers in Oncology
2019 | Journal article
DOI: 10.3389/fonc.2019.01045
EID:

2-s2.0-85074142513

Part of ISSN: 2234943X
Contributors: Zormpas-Petridis, K.; Failmezger, H.; Raza, S.E.A.; Roxanis, I.; Jamin, Y.; Yuan, Y.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

Capturing global spatial context for accurate cell classification in skin cancer histology

arXiv
2018 | Other
DOI: 10.48550/arxiv.1808.02355
EID:

2-s2.0-85170721248

Part of ISSN: 23318422
Contributors: Zormpas-Petridis, K.; Failmezger, H.; Roxanis, I.; Blackledge, M.; Jamin, Y.; Yuan, Y.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

Capturing Global Spatial Context for Accurate Cell Classification in Skin Cancer Histology

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2018 | Book
DOI: 10.1007/978-3-030-00949-6_7
EID:

2-s2.0-85053925152

Part of ISSN: 16113349 03029743
Contributors: Zormpas-Petridis, K.; Failmezger, H.; Roxanis, I.; Blackledge, M.; Jamin, Y.; Yuan, Y.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier

Non-invasive prostate cancer characterization with diffusion-weighted MRI: Insight from in silico studies of a transgenic mouse model

Frontiers in Oncology
2017 | Journal article
DOI: 10.3389/fonc.2017.00290
EID:

2-s2.0-85037046508

Part of ISSN: 2234943X
Contributors: Hill, D.K.; Heindl, A.; Zormpas-Petridis, K.; Collins, D.J.; Euceda, L.R.; Rodrigues, D.N.; Moestue, S.A.; Jamin, Y.; Koh, D.-M.; Yuan, Y. et al.
Source: Self-asserted source
Konstantinos Zormpas-Petridis via Scopus - Elsevier
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