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Petros Kalendralis

Showing results (1-10 of 25) with videos related to

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Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|February 27, 2021
Making radiotherapy more efficient with FAIR dataPetros Kalendralis, Matthijs Sloep, Johan van Soest, et al.
Clinical and Translational Radiation Oncology|August 17, 2019
Learning from scanners: Bias reduction and feature correction in radiomicsIvan Zhovannik, Johan Bussink, Alberto Traverso, et al.
Reports of Practical Oncology and Radiotherapy : Journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology|August 15, 2024
Forecasting model for qualitative prediction of the results of patient-specific quality assurance based on planning and complexity metrics and their interrelations. Pilot studyTomasz Piotrowski, Adam Ryczkowski, Petros Kalendralis, et al.
The British Journal of Radiology|September 25, 2025
Variational autoencoder-based deep learning and radiomics for predicting pathologic complete response to neoadjuvant chemoimmunotherapy in locally advanced esophageal squamous cell carcinomaQing Gu, Shenlun Chen, Andre Dekker, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|June 2, 2019
Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processingAlberto Traverso, Michal Kazmierski, Zhenwei Shi, et al.
Cancer Immunology, Immunotherapy : CII|November 18, 2025
Automatically quantifying spatial heterogeneity of immune and tumor hypoxia environment and predicting disease-free survival for patients with rectal cancerShenlun Chen, Zonglin Liu, Jiazhou Wang, et al.
Cancer Immunology, Immunotherapy : CII|March 17, 2026
Correction: Automatically quantifying spatial heterogeneity of immune and tumor hypoxia environment and predicting disease-free survival for patients with rectal cancerShenlun Chen, Zonglin Liu, Jiazhou Wang, et al.
Journal of Imaging Informatics in Medicine|January 13, 2026
Predicting Overall Survival of NSCLC Patients with Clinical, Radiomics and Deep Learning FeaturesHemalatha Kanakarajan, Jikai Zhou, Aiara Lobo Gomes, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|January 7, 2023
External validation of a prediction model for timely implementation of innovations in radiotherapyRachelle R Swart, Rianne Fijten, Liesbeth J Boersma, et al.
JMIR Research Protocols|August 8, 2025
Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence-Driven Clinical Prediction Model: Protocol from the Coronary Artery Disease Risk Estimation and Early Detection ConsortiumRutger van Mierlo, Bart Scheenstra, Joost Verbeek, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|February 27, 2021
Making radiotherapy more efficient with FAIR dataPetros Kalendralis, Matthijs Sloep, Johan van Soest, et al.
Clinical and Translational Radiation Oncology|August 17, 2019
Learning from scanners: Bias reduction and feature correction in radiomicsIvan Zhovannik, Johan Bussink, Alberto Traverso, et al.
Reports of Practical Oncology and Radiotherapy : Journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology|August 15, 2024
Forecasting model for qualitative prediction of the results of patient-specific quality assurance based on planning and complexity metrics and their interrelations. Pilot studyTomasz Piotrowski, Adam Ryczkowski, Petros Kalendralis, et al.
The British Journal of Radiology|September 25, 2025
Variational autoencoder-based deep learning and radiomics for predicting pathologic complete response to neoadjuvant chemoimmunotherapy in locally advanced esophageal squamous cell carcinomaQing Gu, Shenlun Chen, Andre Dekker, et al.
Physica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|June 2, 2019
Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processingAlberto Traverso, Michal Kazmierski, Zhenwei Shi, et al.
Cancer Immunology, Immunotherapy : CII|November 18, 2025
Automatically quantifying spatial heterogeneity of immune and tumor hypoxia environment and predicting disease-free survival for patients with rectal cancerShenlun Chen, Zonglin Liu, Jiazhou Wang, et al.
Cancer Immunology, Immunotherapy : CII|March 17, 2026
Correction: Automatically quantifying spatial heterogeneity of immune and tumor hypoxia environment and predicting disease-free survival for patients with rectal cancerShenlun Chen, Zonglin Liu, Jiazhou Wang, et al.
Journal of Imaging Informatics in Medicine|January 13, 2026
Predicting Overall Survival of NSCLC Patients with Clinical, Radiomics and Deep Learning FeaturesHemalatha Kanakarajan, Jikai Zhou, Aiara Lobo Gomes, et al.
Radiotherapy and Oncology : Journal of the European Society for Therapeutic Radiology and Oncology|January 7, 2023
External validation of a prediction model for timely implementation of innovations in radiotherapyRachelle R Swart, Rianne Fijten, Liesbeth J Boersma, et al.
JMIR Research Protocols|August 8, 2025
Optimizing Cardiovascular Risk Management in Primary Care Using a Personalized eCoach Solution Enhanced by an Artificial Intelligence-Driven Clinical Prediction Model: Protocol from the Coronary Artery Disease Risk Estimation and Early Detection ConsortiumRutger van Mierlo, Bart Scheenstra, Joost Verbeek, et al.
Pageof 3