K
K. Haris
Researcher at Aristotle University of Thessaloniki
Publications - 36
Citations - 1294
K. Haris is an academic researcher from Aristotle University of Thessaloniki. The author has contributed to research in topics: Image segmentation & Scale-space segmentation. The author has an hindex of 9, co-authored 35 publications receiving 1105 citations. Previous affiliations of K. Haris include American Hotel & Lodging Educational Institute & Lund University.
Papers
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Journal ArticleDOI
Hybrid image segmentation using watersheds and fast region merging
TL;DR: A hybrid multidimensional image segmentation algorithm is proposed, which combines edge and region-based techniques through the morphological algorithm of watersheds and additionally maintains the so-called nearest neighbor graph, due to which the priority queue size and processing time are drastically reduced.
Journal ArticleDOI
Automated Atrial Fibrillation Detection using a Hybrid CNN-LSTM Network on Imbalanced ECG Datasets
Georgios Petmezas,K. Haris,Leandros Stefanopoulos,Vassilis Kilintzis,Andreas Tzavelis,John A. Rogers,Aggelos K. Katsaggelos,Nicos Maglaveras,Nicos Maglaveras +8 more
TL;DR: A novel hybrid neural model utilizing focal loss, an improved version of cross-entropy loss, to deal with training data imbalance is proposed, which can aid clinicians to detect common atrial fibrillation in real-time on routine screening ECG.
Journal ArticleDOI
Model-based morphological segmentation and labeling of coronary angiograms
TL;DR: A method for extraction and labeling of the coronary arterial tree (CAT) using minimal user supervision in single-view angiograms is proposed, and experimental results using clinical digitized coronary angiogram results are presented.
Proceedings ArticleDOI
Watershed-based image segmentation with fast region merging
TL;DR: A significantly faster algorithm which maintains an additional graph, the most similar neighbor graph, through which the priority queue size and processing time are drastically reduced and this region based representation provides one-pixel wide, closed, and accurately localized contours/surfaces.
Journal ArticleDOI
Self-gated fetal cardiac MRI with tiny golden angle iGRASP: A feasibility study
K. Haris,K. Haris,Erik Hedström,Sebastian Bidhult,Frederik Testud,Nicos Maglaveras,Einar Heiberg,Stefan R. Hansson,Håkan Arheden,Anthony H. Aletras,Anthony H. Aletras +10 more
TL;DR: To develop and assess a technique for self‐gated fetal cardiac cine magnetic resonance imaging (MRI) using tiny golden angle radial sampling combined with iGRASP (iterative Golden‐angle RAdial Sparse Parallel) for accelerated acquisition based on parallel imaging and compressed sensing.