A5070429955- AI in cancer detection
- Radiomics and Machine Learning in Medical Imaging
- Cell Image Analysis Techniques
- Gene expression and cancer classification
- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- MRI in cancer diagnosis
- Glioma Diagnosis and Treatment
- Molecular Biology Techniques and Applications
- Digital Imaging for Blood Diseases
- EEG and Brain-Computer Interfaces
- Medical Imaging and Analysis
- Medical Image Segmentation Techniques
- Advanced Proteomics Techniques and Applications
- Osteoarthritis Treatment and Mechanisms
- Cutaneous Melanoma Detection and Management
- Metabolomics and Mass Spectrometry Studies
- Brain Tumor Detection and Classification
- Infrared Thermography in Medicine
- Advanced Neuroimaging Techniques and Applications
- Radiation Dose and Imaging
- Colorectal Cancer Screening and Detection
- Spectroscopy and Chemometric Analyses
- Cardiovascular and Diving-Related Complications
- Ultrasound and Hyperthermia Applications
University of West Attica
2018-2025
Technological Educational Institute of Athens
2009-2018
University of Patras
2007-2017
Signal Processing (United States)
2016
The University of Texas at San Antonio
2015
University of Thessaly
2015
University of North Carolina at Chapel Hill
2015
Rapid assessment of tissue biopsies is a critical issue in modern histopathology. For breast cancer diagnosis, the shape nuclei and architectural pattern are evaluated under high low magnifications, respectively. In this study, we focus on development classification system for images captured magnification (×10). Sixty-five regions interest were selected from 60 sections. Texture analysis provided 30 textural features per image. Three different recognition algorithms employed (kNN, SVM, PNN)...
Abstract Objectives The operating room is a fast-paced and demanding environment. Among the various factors involved in its optimization, predicting surgery duration critical for scheduling resource organization, ultimately resulting improved quality of surgical care. Methods We design, implement evaluate semi-automated machine learning method that takes as input current phase tools employed provides prediction Remain Surgery Duration (RSD) laparoscopic cholecystectomy operations. use...
The development of contemporary complex technological systems prerequisites interdisciplinary design and simulation methodologies. Such an approach is demonstrated in the present work. Toward manufacturing a hand-held device aiming at internal body temperature measurements using passive microwave radiometer technology, five perspectives are elaborated. proposed system consists ultra-wide-band compact antenna, multi-frequency radiometer, digital processing unit, all enclosed portable...
As the demand for effective and reliable telecare systems increases rapidly over last years, novel ideas applied on existing consumer products enables development of innovative solutions that could enhance user's wellbeing. In this research, we are going to demonstrate potential a system users monitor their own heart beat rate in real time use specialised software personal health coaching. paper will explain how extract information from user using camera commercially available mobile phone...
Accurate diagnosis and timely intervention are key to addressing common knee conditions effectively. In this work, we aim identify textural changes in lesions based on bone marrow edema (BME), injury (INJ), osteoarthritis (OST). One hundred twenty-one MRI examinations were selected. Cases divided into three groups radiological findings: forty-one the BME, thirty-seven INJ, forty-three OST groups. From each ROI, eighty-one radiomic descriptors calculated, encoding texture information. The...
Abstract Motivation: One of the major factors that complicate task microarray image analysis is images are distorted by various types noise. In this study a robust framework proposed, designed to take into account effect noise in order assist demanding analysis. The proposed framework, incorporates processing pipeline novel combination spot adjustable and techniques consists following stages: (1) gridding for facilitating identification, (2) clustering (unsupervised discrimination between...
This study harnesses EEG signals to enable the real-time control of servo motors, utilizing OpenBCI Community Dataset identify and assess brainwave patterns related motor imagery tasks. Specifically, dataset includes data from 52 subjects, capturing electrical brain activity while participants imagined executing specific Each participant underwent multiple trials for each task, ensuring a diverse comprehensive model training evaluation. A deep neural network comprising convolutional...
Hormone receptors have been used in prognosis of breast carcinomas and their positive status is clinical value hormonal therapy. Determination this based on the subjective visual inspection stained nuclei specimens. The aim study was assessment estrogen receptor's (ER) carcinomas, by means colour-texture image analysis methodology. Twenty two cases immunohistochemically (IHC) biopsies were initially assessed a histopathologist for ER status, following scoring protocol. Custom-designed...