Pattichis, Constantinos S.

AI in Medical Imaging Informatics: Current Challenges and Future Directions

Panayides, A. S., Amini, A., Filipovic, N. D., Sharma, A., Tsaftaris, S. A., Young, A., Foran, D., Do, N., Golemati, S., Kurc, T., et al. (2020) · IEEE Journal of Biomedical and Health Informatics

Artificial Intelligence in Healthcare and EducationMedical Image Segmentation Techniques

Cited by 713

What do we need to build explainable AI systems for the medical domain?

Holzinger, A., Biemann, C., Pattichis, C. S., & Kell, D. B. (2017) · arXiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 636

Time-scale analysis of motor unit action potentials

Pattichis, C. S., & Pattichis, M. S. (1999) · IEEE Transactions on Biomedical Engineering

Muscle activation and electromyography studiesPeripheral Nerve Disorders

Cited by 105

Radiogenomics for Precision Medicine With a Big Data Analytics Perspective

Panayides, A. S., Pattichis, M. S., Leandrou, S., Pitris, C., Constantinidou, A., & Pattichis, C. S. (2019) · IEEE Journal of Biomedical and Health Informatics

Radiomics and Machine Learning in Medical ImagingArtificial Intelligence in Healthcare and Education

Cited by 66

AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview

Stylianides, C., Nicolaou, A., Sulaiman, W. A., Alexandropoulou, C.-A., Panagiotopoulos, I., Karathanasopoulou, K., Dimitrakopoulos, G., Kleanthous, S., Politi, E., Ntalaperas, D., et al. (2025) · Machine Learning and Knowledge Extraction

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 28

The Battle of the Video Codecs in the Healthcare Domain - A Comparative Performance Evaluation Study Leveraging VVC and AV1

Panayides, A. S., Pattichis, M. S., Pantziaris, M., Constantinides, A. G., & Pattichis, C. S. (2020) · IEEE Access

Video Coding and Compression TechnologiesAdvanced Data Compression Techniques

Cited by 27

Explainable AI applications in the Medical Domain: a systematic review

Prentzas, N., Kakas, A., & Pattichis, C. S. (2023) · arXiv

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 19

Privacy preserving data publishing of categorical data through k ‐anonymity and feature selection

Aristodimou, A., Antoniades, A., & Pattichis, C. S. (2016) · Healthcare Technology Letters

Privacy-Preserving Technologies in DataData Quality and Management

Cited by 18

Computer-Aided Diagnosis by Tissue Image Analysis as an Optical Biopsy in Hysteroscopy

Tanos, V., Neofytou, M., Tanos, P., Pattichis, C. S., & Pattichis, M. S. (2022) · International Journal of Molecular Sciences

AI in cancer detectionImage Retrieval and Classification Techniques

Cited by 10

Guest Editorial on the Special Issue on Integrating Informatics and Technology for Precision Medicine

Pattichis, C. S., Pitris, C., Liang, J., & Zhang, Y. (2019) · IEEE Journal of Biomedical and Health Informatics

Technology and Human Factors in Education and HealthArtificial Intelligence in Healthcare and Education

Cited by 7

AI-based solutions for predicting sepsis in ICUs

Stylianides, C., Alexandropoulou, C.-A., Sulaiman, W., Panagiotopoulos, I., Kleanthous, S., Dimitrakopoulos, G., Constantinou, I., Vassiliou, S., Garcia, F., Politi, E., et al. (2023) · 2023 IEEE EMBS Special Topic Conference on Data Science and Engineering in Healthcare, Medicine and Biology

Machine Learning in HealthcareSepsis Diagnosis and Treatment

Cited by 5