Michalis Zervakis

Technical University of Crete | TUC · Elecctronics and Computer Engineering

Radiotranscriptomics is an emerging field that aims to investigate the relationships between the radiomic features extracted from medical images and gene expression profiles that contribute in the diagnosis, treatment planning, and prognosis of cancer. This study proposes a methodological framework for the investigation of these associations with a...

Multiclass image classification is a complex task that has been thoroughly investigated in the past. Decomposition-based strategies are commonly employed to address it. Typically, these methods divide the original problem into smaller, potentially simpler problems, allowing the application of numerous well-established learning algorithms that may n...

Traumatic Brain Injury (TBI) is a frequently occurring condition and approximately 90% of TBI cases are classified as mild (mTBI). However, conventional MRI has limited diagnostic and prognostic value, thus warranting the utilization of additional imaging modalities and analysis procedures. The functional connectomic approach using resting-state fu...

Breast cancer is the most common cancer in women worldwide. It is the most frequently diagnosed cancer among women in 140 countries out of 184 reporting countries. Lesions of breast cancer are abnormal areas in the breast tissues. Various types of breast cancer lesions include (1) microcalcifications, (2) masses, (3) architectural distortion, and (...

Business continuity is crucial for modern public organizations. It enables the uninterrupted operation of critical business functions and services in the event of an unexpected crisis situation. A key business continuity activity is to set proactively and non-arbitrarily recovery priorities while computing the recovery time effort (RTE) for these f...

The need for fast and precise information in combination with the huge technological developments concerning drone, information and sensor technologies, over the last few years, promoted the use of Unmanned Aerial Systems (UAS) in several domains ranging from agriculture to surveillance applications. The unique opportunity that UAVs and the accompa...

Recent modeling of brain activities encompasses the fusion of different modalities. However, fusing brain modalities requires not only the efficient and compatible representation of the signals but also the benefits associated with them. For instance, the combination of the functional characteristics of EEGs with the structural features of function...

Cardiovascular disease (CVD) is a major health problem throughout the world. It is the leading cause of morbidity and mortality and also causes considerable economic burden to society. The early symptoms related to previous observations and abnormal events, which can be subjectively acquired by self-assessment of individuals, bear significant clini...

During sleep, breathing-related sleep disorders (BSD) are very probable to cause distortions on human health and even be life-threatening. Among the different types of BSD, apnea accounts for one of the most common. Many detection algorithms have been proposed for spotting and classifying apneas, using one feature or being designed for binary class...

eMass project aims to digitalize the medical examination procedure of recruitment phase of conscripts in the Hellenic Navy. eMass integrates recruits’ Electronic Health Record (EHR), while allows a pre-screening test, through portable telemedicine equipment. The data will be exploited to assess the individual’s cardiovascular risk through appropria...

This study investigates the potential of fluorescence imaging in conjunction with an original, fused segmentation framework for enhanced detection and delineation of brain tumor margins. By means of a test bed optical microscopy system, autofluorescence is utilized to capture gray level images of brain tumor specimens through slices, obtained at va...

Almost 15 million of people are affected by pharmacoresistant epilepsy, a brain disorder that is treated with surgery when medicaments fail to suppress epilepsy seizures. The main goal in surgery is the identification and resection of the epileptogenic zone (EZ), which is based on the doctor's experience. Recently, the high frequency oscillatory (H...

The early primary somatosensory network remains a rarely investigated brain area due to the fast transitions among the involved cortical and subcortical regions. In this regard, a non-invasive and subject-specific method that quantifies the very early temporal interdependences in the thalamo-cortical/cortico-cortical pathway of the primary somatose...

Epilepsy has been characterized as a network disease in which several brain regions might be involved. The primary goal is the identification of the hub region which could correspond to the so-called epileptogenic zone (EZ). Taking into account all available information, epilepsy surgery can then be carried out to resect EZ. Here, we evaluate effec...

Almost 15 million of people are affected by pharmacoresistant epilepsy, a brain disorder that is treated with surgery when medicaments fail to suppress epilepsy seizures. The main goal in surgery is the identification and resection of the epileptogenic zone (EZ), which is based on the doctor's experience. Recently, the high frequency oscillatory (H...

This work aims to provide information, guidelines, established practices and standards, and an extensive evaluation on new and promising technologies for the implementation of a secure information sharing platform for health-related data. We focus strictly on the technical aspects and specifically on the sharing of health information, studying inno...

Pancreatic cancer is a highly lethal disease, projecting to be the second leading cause of cancer-associated deaths. It is considered as one of the most aggressive types of cancer, with one of the major problems reported being the lack of early detection. A patient is diagnosed with pancreatic cancer only in advanced stages, when the possibility of...

Business Continuity is crucial for modern public organizations. It enables the uninterrupted operation of critical business functions and services in the event of an unexpected crisis situation. A key business continuity activity is to set proactively and non-arbitrarily recovery priorities while computing the Recovery Time Effort (RTE) for these f...

Skull conductivity has a substantial influence on EEG and combined EEG and MEG source analysis as well as on optimized transcranial electric stimulation. To overcome the use of standard literature values, we propose a non-invasive two-level calibration procedure to estimate skull conductivity individually in a group study with twenty healthy adults...

Fish-cage dysfunction in aquaculture installations can trigger significant negative consequences affecting the operational costs. Low oxygen levels, due to excessive fooling's, leads to decrease growth performance, and feed efficiency. Therefore, frequent periodic inspection of fish-cage nets is required, but this task can become quite expensive wi...

IEEE Journal of Biomedical and Health Informatics July 2020, Volume 24, Number 7

Personality is the characteristic set of an individual’s behavioral and emotional patterns that evolve from biological and environmental factors. The recognition of personality profiles is crucial in making human–computer interaction (HCI) applications realistic, more focused, and user friendly. The ability to recognize personality using neuroscien...

Background The chemokine receptor CXCR4 and the transcription factor JUNB, expressed on a variety of tumor cells, seem to play an important role in the metastatic process. Since disseminated tumor cells (DTCs) in the bone marrow (BM) have been associated with worse outcomes, we evaluated the expression of CXCR4 and JUNB in DTCs of primary, nonmetas...

On the question of surgery planning for epilepsy cases that are characterized by resistance to anticonvulsive drugs, there are several directions introduced utilizing combination of neuroimaging modalities and advancements in computational techniques. Essentially, establishing the optimal resection strategy requires a multidisciplinary approach in...

Agriculture is by its nature a complicated scientific field, related to a wide range of expertise, skills, methods and processes which can be effectively supported by computerized systems. There have been many efforts towards the establishment of an automated agriculture framework, capable to control both the incoming data and the corresponding pro...

Many problems that concern the image the surgeon sees arise, during a laparoscopic surgery, such as limited perception of depth and field of view (fov). With a correct modeling of the surgical robot (in our case is the robotic arm AESOP1000) and appropriate image processing algorithms we can give the doctor the ability to have better perception of...

Dynamic Functional Connectivity (DFC) analysis is a promising approach for the characterization of brain electrophysiological activity. In this study, we investigated abnormal alterations due to mild Traumatic Brain Injury (mTBI) using DFC of the source reconstructed magnetoencephalographic (MEG) resting-state recordings. Brain activity in several...

Smart Farming (SF) or Precision Agriculture (PA) use precise and efficient approaches for monitoring and processing information from farms, crops, forestry, and livestock aiming at more productive and sustainable rural development. Internet of Things (IoT) is the ecosystem that can provide effective real-time information gathering and processing me...

Many studies have addressed the relations between different human brain regions and their role in cognitive, motor and sensory functions in patients that have suffered a brain lesion (stroke, traumatic brain injury, tissue removal). Nowadays, it is well established that the brain works as a network and the symptoms in a person are a combination of...

The primary somatosensory cortex remains one of the most investigated brain areas. However, there is still an absence of an integrated methodology to describe the early temporal alterations in the primary somatosensory network. Source analysis based on combined Electro-(EEG) and Magneto-(MEG) Encephalography (EMEG) has been recently shown to outper...

In recent years, several approaches have been introduced for estimating the spike onset zone within the irritative zone in epilepsy diagnosis for presurgical planning. One important direction utilizes source analysis from combined electroen-cephalography (EEG) and magnetoencephalography (MEG), EMEG, leveraging the benefits from the complementary pr...

Coxibs are a group of drugs with selective inhibition against cyclooxygenase-2 (COX-2) enzymes with increased interest from scientific community due to their side effects and potential other pharmacological mechanisms. The aim of this work is to utilize the chemical characteristics of coxibs in order to identify compounds with similar chemical stru...

This paper evaluates the usage of matching pursuit (MP) features of electroencephalographic (EEG) signals and classification techniques on automatic absence seizure detection. Absence epileptic seizures are neurological disorders which are manifested as abnormal EEG patterns. Matching pursuit algorithm is able to decompose a signal into components...

This paper investigates the effectiveness of Common Spatial Patterns (CSP) analysis of EEG signals on the automatic detection of focal epileptic seizures. Focal seizures are characterized by unilaterally triggered abnormal brain activity. CSP analysis has been frequently used in literature for multichannel EEG signal separation between two states....

Background: Circulating tumor cells (CTCs) are important for metastatic dissemination of cancer. They can provide useful information, regarding biological features and tumor heterogeneity; however, their detection and characterization are difficult due to their limited number in the bloodstream and their mesenchymal characteristics. Therefore, new...

Individually targeted multi-channel transcranial Electric Stimulation (tES) has been suggested as a promising approach for manipulation of brain networks. Our somatosensory study investigates the effect of individualizing the targeting using combined Electro- and Magneto- EncephaloGraphy (EMEG) source analysis, so that the stimulation montage could...

We demonstrated how dynamic functional connectivity analysis on source-reconstructed neuromagnetic activity can reveal characteristic brain states to mild traumatic brain injury (mTBI). The derived subject-specific symbolic time series that describe the transient behavior of brain states can feed the computation of trivial chronnectomics. Our study...

This study introduces a novel technique for the self-organization of large datasets, without prior knowledge on the statistical distribution of data. The particular application of interest concerns the selforganization of diffuse reflectance time-lapse curves, expressing the biomarker uptake-wash out kinetics in cervical epithelium. Dynamic spectra...

Aquaculture is one of the fastest growing food sectors worldwide providing more than 50% of world fish consumption.Towards sustainable development, aquaculture ought to design and implement technical solutions for the efficient management of farms, thus improving fish performance and decreasing operational costs, human effort and environmental impa...

In this work we combine different methodologies in order to develop algorithms for Computer-Aided Diagnosis (CAD) for brain tumors from the axial plane (T2 MRI). All methods utilize texture analysis by extracting features from raw data, without post-processing, based on different techniques, such as Gray Level Co-Occurrence Matrix (GLCM), or Discre...

Online personal training allows users to work out from the comfort of their own homes using workout videos designed by fitness instructors. Users of such applications can use their device (PC, laptop, smart TV, etc.) camera and work out with others in a group setting, enabling plethora of intertwined benefits. In order to enhance training efficienc...

The human cerebellum contains almost fifty percent of the neurons in the brain, although its volume does not exceed ten percent of the total brain volume. The ultimate goal of this study is to derive the functional network of the cerebellum during resting-state and then compare the ensuing group networks between males and females. Towards this dire...

Current study attempts to model the neuromagnetic resting-state recordings of mild Traumatic Brain Injury (mTBI) patients via the notion of time-resolved functional connectivity graphs. The activity of theta (θ) frequency band was first beamformed with linear constrained minimum norm variance in the artefact-free MEG data to determine ninety anatom...

Individually targeted multi-channel transcranial Electric Stimulation (tES) has been suggested as a promising new approach for manipulation of brain networks (Wagner et al., 2016). Our study aims at evaluating the contribution of this novel technique in a first experiment using a group of five healthy subjects. We focus on the human somatosensory s...

[This corrects the article on p. 189 in vol. 11, PMID: 28491028.].

The electroencephalogram (EEG) is the most prominent means to study epilepsy and capture changes in electrical brain activity that could declare an imminent seizure. In this work, Long Short-Term Memory (LSTM) networks are introduced in epileptic seizure prediction using EEG signals, expanding the use of deep learning algorithms with convolutional...

3D building façade reconstruction has become a very popular topic in various applications related to restoration and preservation of architectural structures as well as urban planning. This paper deals with the reconstruction of realistic 3D models of buildings façades, in the urban environment for cultural heritage. We present an approach that ena...

In this article we present a video-based method for river flow monitoring. The proposed method aims at deriving efficient approximations of the river velocity using natural formations on the river surface. In order to overcome peculiarities of the flow, we propose to uniformly exploit all such structures that appear locally with short temporal dura...

Functional connectivity (FC) analysis constitutes a fundamental neuroscientific approach that has been extensively used for the investigation of brain's connectivity and activation patterns. To that end, several software tools have been developed. This paper presents FCLAB, the only EEGLAB-based plugin, which is able to work with EEG signals in ord...

[This corrects the article DOI: 10.1155/2012/715812.].

— The novelty of this study consists in the development of a technique for efficient discrimination of lung tissues pathologies consisting of squamous carcinomas, at varying grade, stage, including necrotic tissues. Polarimetric measurements using a home-built Whole Slide Imaging (WSI) polarized light imaging system, operating under diffuse reflect...

Functional brain connectivity networks exhibit “small-world” characteristics and some of these networks follow a “rich-club” organization, whereby a few nodes of high connectivity (hubs) tend to connect more densely among themselves than to nodes of lower connectivity. The Current study followed an “attack strategy” to compare the rich-club and sma...