Ioannis D. Apostolopoulos

Fdn Res & Technol Hellas FORTH Inst Chem Engn Sci ICE HT, Patras 26504, Greece

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Bio

Ioannis Apostolopoulos received his Bachelor and Master Degree in 2017 from the Department of Electrical and Computer Engineering, University of Patras. He is a Ph.D. student at the Department of Medical Physics, School of Medicine, University of Patras. His research interests include Deep Learning and Biomedical Engineering.

Research Interests

Papers共 96 篇Author StatisticsCo-AuthorSimilar Experts

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Integrating Machine Learning in Clinical Practice for Characterizing the Malignancy of Solitary Pulmonary Nodules in PET/CT Screening

Ioannis D. Apostolopoulos,Nikolaos D. Papathanasiou,Dimitris J. Apostolopoulos,Nikolaos Papandrianos,Elpiniki I. Papageorgiou

Diseases（2024）

Cited1Views0WOSBibtex

Medical Decision Support System in Nuclear Medicine Diagnosis for Non-Small Cell Lung Cancer and Coronary Artery Disease: A First Stage Prototype

Agorastos-Dimitrios Samaras,Anna Feleki,Ioannis D. Apostolopoulos,Serafeim P. Moustakidis,Elpiniki Papageorgiou,Konstantinos Kokkinos,Nikolaos I. Papandrianos

International Conference on Information, Intelligence, Systems and Applicationspp.1-8, (2024)

Cited0Views0EIWOSBibtex

99Mtc-Dtpa Dynamic SPECT/CT Renogram in Adults. Feasibility and Diagnostic Benefit

Maria Spiliotopoulou,Nikolaos Papathanasiou,Łukasz Łabieniec,Evangelos Papachristou,Eleftherios Fokaefs,Trifon Spyridonidis,Andreas Fotopoulos,Dimitris J. Apostolopoulos

openalex（2024）

Cited0Views0Bibtex

Investigating the Agreement with Human Readers and Generalisation Capabilities of a Transfer Learning Approach for Predicting the Malignancy of Solitary Pulmonary Nodules in CT Screening

Ioannis D. Apostolopoulos,Nikolaos D. Papathanasiou,Dimitris J. Apostolopoulos, Nikolaos D. Papandrianos,Elpiniki I. Papageorgiou

International Conference on Information, Intelligence, Systems and Applicationspp.1-6, (2024)

Cited0Views0EIWOSBibtex

A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination

Ioannis D. Apostolopoulos,Nikolaos D. Papathanasiou,Dimitris J. Apostolopoulos,Nikolaos Papandrianos,Elpiniki I. Papageorgiou

BIG DATA AND COGNITIVE COMPUTINGno. 8 (2024)

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Prediction of the Concentration and Source Contributions of PM2.5 and Gas-Phase Pollutants in an Urban Area with the SmartAQ Forecasting System

Evangelia Siouti,Ksakousti Skyllakou,Ioannis Kioutsioukis,David Patoulias,Ioannis D. Apostolopoulos,George Fouskas,Spyros N. Pandis

ATMOSPHEREno. 1 (2024)

Cited2Views0Bibtex

Calibration and Inter-Unit Consistency Assessment of an Electrochemical Sensor System Using Machine Learning

Ioannis D. Apostolopoulos, Silas Androulakis,Panayiotis Kalkavouras,George Fouskas,Spyros N. Pandis

Sensors（2024）

Cited0Views0WOSEIBibtex

Fuzzy Cognitive Map Applications in Medicine over the Last Two Decades: A Review Study

Ioannis D Apostolopoulos,Nikolaos I Papandrianos,Nikolaos D Papathanasiou,Elpiniki I Papageorgiou

Bioengineering (Basel, Switzerland)no. 2 (2024)

Cited4Views0WOSBibtex

Between Two Worlds: Investigating the Intersection of Human Expertise and Machine Learning in the Case of Coronary Artery Disease Diagnosis

Ioannis D. Apostolopoulos,Nikolaos I. Papandrianos,Dimitrios J. Apostolopoulos,Elpiniki Papageorgiou

BIOENGINEERING-BASELno. 10 (2024)

Cited0Views0WOSBibtex

An Attention-Based Deep Convolutional Neural Network for Brain Tumor and Disorder Classification and Grading in Magnetic Resonance Imaging

Ioannis D. D. Apostolopoulos,Sokratis Aznaouridis,Mpesi Tzani

INFORMATIONno. 3 (2023)

Cited7Views0EIBibtex

Author Statistics

#Papers: 119

#Citation: 2870

H-Index: 18

G-Index: 53

Sociability: 5

Diversity: 3

Activity: 20

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