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Konstantinos Zormpas-Petridis

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Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|July 25, 2024
Editorial Comment: Integrating Morphomics in Clinical Practice for Personalized Medicine: A Paradigm Shift Toward Holistic CareKonstantinos Zormpas-Petridis, Marica Vagni, Matteo Mancino, et al.
NPJ Precision Oncology|July 26, 2024
Radiology and multi-scale data integration for precision oncologyHania Paverd, Konstantinos Zormpas-Petridis, Hannah Clayton, et al.
Radiologic Clinics of North America|May 11, 2023
Radiomics and Radiogenomics of Ovarian Cancer: Implications for Treatment Monitoring and Clinical ManagementCamilla Panico, Giacomo Avesani, Konstantinos Zormpas-Petridis, et al.
Frontiers in Oncology|February 8, 2021
SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology ImagesKonstantinos Zormpas-Petridis, Rosa Noguera, Daniela Kolarevic Ivankovic, et al.
Frontiers in Oncology|November 5, 2019
Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma HistopathologyKonstantinos Zormpas-Petridis, Henrik Failmezger, Shan E Ahmed Raza, et al.
Computers in Biology and Medicine|September 17, 2022
Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRIKonstantinos Zormpas-Petridis, Nina Tunariu, David J Collins, et al.
Critical Reviews in Oncology/Hematology|March 16, 2026
Homologous recombination deficiency in Ovarian Cancer: The Game-Changer for First-Line Maintenance TherapyMaria Chiara Cannizzaro, Angelo Minucci, Konstantinos Zormpas-Petridis, et al.
European Radiology|July 16, 2024
Evaluating the quality of radiomics-based studies for endometrial cancer using RQS and METRICS toolsLuca Russo, Silvia Bottazzi, Burak Kocak, et al.
European Radiology Experimental|March 16, 2026
Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept studyKonstantinos Zormpas-Petridis, Reza Kalantar, Ludovica Iaccarino, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|September 15, 2023
Radiomics systematic review in cervical cancer: gynecological oncologists' perspectiveNicolò Bizzarri, Luca Russo, Miriam Dolciami, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Canadian Association of Radiologists Journal = Journal L'Association Canadienne Des Radiologistes|July 25, 2024
Editorial Comment: Integrating Morphomics in Clinical Practice for Personalized Medicine: A Paradigm Shift Toward Holistic CareKonstantinos Zormpas-Petridis, Marica Vagni, Matteo Mancino, et al.
NPJ Precision Oncology|July 26, 2024
Radiology and multi-scale data integration for precision oncologyHania Paverd, Konstantinos Zormpas-Petridis, Hannah Clayton, et al.
Radiologic Clinics of North America|May 11, 2023
Radiomics and Radiogenomics of Ovarian Cancer: Implications for Treatment Monitoring and Clinical ManagementCamilla Panico, Giacomo Avesani, Konstantinos Zormpas-Petridis, et al.
Frontiers in Oncology|February 8, 2021
SuperHistopath: A Deep Learning Pipeline for Mapping Tumor Heterogeneity on Low-Resolution Whole-Slide Digital Histopathology ImagesKonstantinos Zormpas-Petridis, Rosa Noguera, Daniela Kolarevic Ivankovic, et al.
Frontiers in Oncology|November 5, 2019
Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma HistopathologyKonstantinos Zormpas-Petridis, Henrik Failmezger, Shan E Ahmed Raza, et al.
Computers in Biology and Medicine|September 17, 2022
Deep-learned estimation of uncertainty in measurements of apparent diffusion coefficient from whole-body diffusion-weighted MRIKonstantinos Zormpas-Petridis, Nina Tunariu, David J Collins, et al.
Critical Reviews in Oncology/Hematology|March 16, 2026
Homologous recombination deficiency in Ovarian Cancer: The Game-Changer for First-Line Maintenance TherapyMaria Chiara Cannizzaro, Angelo Minucci, Konstantinos Zormpas-Petridis, et al.
European Radiology|July 16, 2024
Evaluating the quality of radiomics-based studies for endometrial cancer using RQS and METRICS toolsLuca Russo, Silvia Bottazzi, Burak Kocak, et al.
European Radiology Experimental|March 16, 2026
Generating synthetic CEM from low-energy images using deep learning: A future without contrast media? A proof-of-concept studyKonstantinos Zormpas-Petridis, Reza Kalantar, Ludovica Iaccarino, et al.
International Journal of Gynecological Cancer : Official Journal of the International Gynecological Cancer Society|September 15, 2023
Radiomics systematic review in cervical cancer: gynecological oncologists' perspectiveNicolò Bizzarri, Luca Russo, Miriam Dolciami, et al.
Pageof 2