D. Glotsos

发表

SEGMENTATION OF MICROSCOPY IMAGES OF THYROID NODULES VIA ACTIVE CONTOURS AND K-MEANS CLUSTERING

D. Cavouras, I. Kalatzis, G. Nikiforidis, 2005 .

Computer-based association of the texture of expressed estrogen receptor nuclei with histologic grade using immunohistochemically-stained breast carcinomas.

D. Cavouras, I. Kalatzis, G. Nikiforidis, 2009, Analytical and quantitative cytology and histology.

Segmentation of complementary DNA microarray images using the Fuzzy Gaussian Mixture Model technique

D. Cavouras, I. Kalatzis, G. Nikiforidis, 2006 .

Quantitative combination of volumetric MR imaging and MR spectroscopy data for the discrimination of meningiomas from metastatic brain tumors by means of pattern recognition.

Pantelis Georgiadis, Ioannis Kalatzis, Spiros Kostopoulos, 2011, Magnetic resonance imaging.

Multifeature Quantification of Nuclear Properties from Images of H&E-Stained Biopsy Material for Investigating Changes in Nuclear Structure with Advancing CIN Grade

Ioannis Kalatzis, Spiros Kostopoulos, Dimitris Glotsos, 2018, Journal of healthcare engineering.

Assessment of HPV Risk Type in H&E-stained Biopsy Specimens of the Cervix by Microscopy Image Analysis

D. Cavouras, P. Asvestas, I. Kalatzis, 2019, Applied immunohistochemistry & molecular morphology : AIMM.

Correlating Changes in the Epithelial Gland Tissue With Advancing Colorectal Cancer Histologic Grade, Using IHC Stained for AIB1 Expression Biopsy Material

Angeliki D. Theodosi, D. Cavouras, P. Asvestas, 2019, Applied immunohistochemistry & molecular morphology : AIMM.

Computer-based automated estimation of breast vascularity and correlation with breast cancer in DCE-MRI images.

Pantelis A Asvestas, Ioannis V Fezoulidis, D. Cavouras, 2017, Magnetic resonance imaging.

Segmentation and Classification of Histopathology Images for Abetting Diagnosis in Urinary Bladder Cancer

D. Cavouras, P. Ravazoula, S. Kostopoulos, 2011 .

PATTERN RECOGNITION SYSTEM FOR SEMI-AUTOMATED DETECTION OF MYOCARDIUM DEFECTS ON SPECT IMAGES

D. Cavouras, I. Kalatzis, G. Nikiforidis, 2010 .

Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of magnetic resonance images.

Pantelis Georgiadis, Ioannis Kalatzis, Spiros Kostopoulos, 2009, Magnetic resonance imaging.

DEVELOPMENT OF A BRAIN BLOOD VESSEL SEGMENTATION METHOD IN CT-ANGIOGRAPHY

D. Cavouras, G. Nikiforidis, G. Kagadis, 2007 .

IMPROVING DIAGNOSTIC ACCURACY IN THE CLASSIFICATION OF THYROID CANCER BY COMBINING QUANTITATIVE INFORMATION EXTRACTED FROM BOTH ULTRASOUND AND CYTOLOGICAL IMAGES

D. Cavouras, G. Nikiforidis, S. Tsantis, 2004 .

Probabilistic neural network analysis of quantitative nuclear features in predicting the risk of cancer recurrence at different follow-up times

Panagiota Spyridonos, Dionisis Cavouras, G. Nikiforidis, 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.

A MAJORITY VOTE CLASSIFICATION SCHEME FOR EARLY PROGNOSIS OF URINARY BLADDER CANCER RECURRENCE

D. Cavouras, G. Nikiforidis, D. Glotsos, 2010 .

A wavelet-based Markov random field segmentation model in segmenting microarray experiments

Ioannis Kalatzis, Dimitris Glotsos, Emmanouil Athanasiadis, 2011, Comput. Methods Programs Biomed..

A pilot study investigating the minimum requirements necessary for grading astrocytomas remotely.

Pantelis Georgiadis, Ioannis Kalatzis, Spiros Kostopoulos, 2009, Analytical and quantitative cytology and histology.

EVALUATING THE GENERALIZATION PERFORMANCE OF A SUPPORT VECTOR MACHINE BASED CLASSIFICATION METHODOLOGY IN BRAIN TUMOR ASTROCYTOMAS GRADING

George, D. Cavouras, D. Glotsos, 2004 .

Interpretation of binding kinetics in fluorescence recovery after photobleaching experiments using a novel stochastic simulation strategy

D. Cavouras, S. Kostopoulos, D. Glotsos, 2009 .

SEGMENTATION OF MICROARRAY IMAGES USING GAUSSIAN MIXTURE MODELS AND WAVELET BASED PREPROCESSING FILTERS

D. Cavouras, I. Kalatzis, G. Nikiforidis, 2007 .

COMPARATIVE EVALUATION OF A GAUSSIAN MIXTURE MODELS AND A SEEDED REGION GROWING TECHNIQUES FOR THE SEGMENTATION OF MICROARRAY IMAGES

D. Cavouras, I. Kalatzis, G. Nikiforidis, 2006 .

DEVELOPMENT OF A TELEMEDICINE IMAGE PROCESSING AND TRANSFERRING SYSTEM OVER A WIRELESS COMPUTER NETWORK

D. Cavouras, G. Nikiforidis, P. Ravazoula, 2005 .

Complementary DNA Microarray Image Processing Based on the Fuzzy Gaussian Mixture Model

Panagiota Spyridonos, Ioannis Kalatzis, Dimitris Glotsos, 2009, IEEE Transactions on Information Technology in Biomedicine.

Employing machine learning and microscopy images of AIB1‐stained biopsy material to assess the 5‐year survival of patients with colorectal cancer

Angeliki D. Theodosi, D. Cavouras, P. Asvestas, 2021, Microscopy research and technique.

Design of a hybrid deep learning system for discriminating between low- and high-grade colorectal cancer lesions, using microscopy images of IHC stained for AIB1 expression biopsy material

Ioannis Kalatzis, Spiros Kostopoulos, Dimitris Glotsos, 2021, Machine Vision and Applications.

GPU-enabled design of an adaptable pattern recognition system for discriminating squamous intraepithelial lesions of the cervix

Dionisis Cavouras, Ioannis Kalatzis, Spiros Kostopoulos, 2019, Biomedizinische Technik. Biomedical engineering.

Adaptable pattern recognition system for discriminating Melanocytic Nevi from Malignant Melanomas using plain photography images from different image databases

Ioannis Kalatzis, Spiros Kostopoulos, Pantelis A. Asvestas, 2017, Int. J. Medical Informatics.

Assessing the performance of four different categories of histological criteria in brain tumours grading by means of a computer‐aided diagnosis image analysis system

D Cavouras, S Kostopoulos, C Konstandinou, 2015, Journal of microscopy.

Multimodality imaging and state-of-art GPU technology in discriminating benign from malignant breast lesions on real time decision support system

Dionisis Cavouras, Ioannis Kalatzis, Spiros Kostopoulos, 2014 .

A pattern recognition system for prostate mass spectra discrimination based on the CUDA parallel programming model

Ioannis Kalatzis, Spiros Kostopoulos, Dimitris Glotsos, 2014 .

Breast Cancer Characterization Based on Image Classification of Tissue Sections Visualized under Low Magnification

Constantinos G. Loukas, Dimitris Glotsos, Spiros Kostopoulos, 2013, Comput. Math. Methods Medicine.

Designing a pattern recognition system on GPU for discriminating between patients with micro-ischaemic and multiple sclerosis lesions, using MRI images

Dimitris Glotsos, Emmanouil Athanasiadis, Spiros Kostopoulos, 2013, Int. J. High Perform. Comput. Appl..

Pattern-recognition system, designed on GPU, for discriminating between injured normal and pathological knee cartilage.

Emmanouil Athanasiadis, Spiros Kostopoulos, Dimitris Glotsos, 2013, Magnetic resonance imaging.

Multimodality GPU-based computer-assisted diagnosis of breast cancer using ultrasound and digital mammography images

Nikos Dimitropoulos, Dimitris Glotsos, Emmanouil Athanasiadis, 2013, International Journal of Computer Assisted Radiology and Surgery.

Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit

Ioannis Kalatzis, Dimitris Glotsos, Spiros Kostopoulos, 2012, Comput. Biol. Medicine.

DECISION SUPPORT SYSTEM BASED ON ORDINAL SCALES FOR GRADING OF BRAIN TUMOURS

D. Cavouras, P. Ravazoula, S. Kostopoulos, 2010 .

A multi-classifier system for the characterization of normal, infectious, and cancerous prostate tissues employing transrectal ultrasound images

Pantelis Georgiadis, Ioannis Kalatzis, Dimitris Glotsos, 2010, Comput. Methods Programs Biomed..

Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme

Dionisis Cavouras, Ioannis Kalatzis, Dimitris Glotsos, 2008, Comput. Methods Programs Biomed..

Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological images

Panagiota Spyridonos, Ioannis Kalatzis, Dimitris Glotsos, 2008, Comput. Biol. Medicine.

A hybrid pixel-based classification method for blood vessel segmentation and aneurysm detection on CTA

Panagiota Spyridonos, George C. Kagadis, Ioannis Kalatzis, 2007, Comput. Graph..

Comparative evaluation of support vector machines and probabilistic neural networks in superficial bladder cancer classification

Panagiota Spyridonos, Dimitris Glotsos, George Nikiforidis, 2003, J. Comput. Methods Sci. Eng..

An image-analysis system based on support vector machines for automatic grade diagnosis of brain-tumour astrocytomas in clinical routine

D. Cavouras, G. Nikiforidis, D. Glotsos, 2005, Medical informatics and the Internet in medicine.

Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines

Jussi Tohka, Dimitris Glotsos, George Nikiforidis, 2005, Int. J. Neural Syst..

Automated Diagnosis of Brain Tumours Using a Novel Density Estimation Method for Image Segmentation and Independent Component Analysis Combined with Support Vector Machines for Image Classification

Panagiota Spyridonos, Dimitris Glotsos, George Nikiforidis, 2004, ICONIP.

A new approach to robust clustering by density estimation in an autocorrelation derived feature space

U. Ruotsalainen, D. Glotsos, J. Tohka, 2004, Proceedings of the 6th Nordic Signal Processing Symposium, 2004. NORSIG 2004..

COMPARATIVE EVALUATION OF FEEDFORWARD AND PROBABILISTIC NEURAL NETWORKS FOR THE AUTOMATIC CLASSIFICATION OF BRAIN TUMOURS

Panagiota Spyridonos, George Nikiforidis, Dimitris Glotsos, 2004 .

A hierarchical decision tree classification scheme for brain tumour astrocytoma grading using support vector machines

G. Nikiforidis, P. Spyridonos, P. Petalas, 2003, 3rd International Symposium on Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the.

Improving gene quantification by adjustable spot-image restoration

George C. Kagadis, Ioannis Kalatzis, Dimitris Glotsos, 2007, Bioinform..

Development of a Reference Image Collection Library for Histopathology Image Processing, Analysis and Decision Support Systems Research

Ioannis Kalatzis, Dimitris Glotsos, Spiros Kostopoulos, 2017, Journal of Digital Imaging.

Development and evaluation of a PDA-based teleradiology terminal in thyroid nodule diagnosis

Pantelis Georgiadis, Ioannis Kalatzis, Dimitris Glotsos, 2010, Journal of telemedicine and telecare.

PATTERN RECOGNITION BASED SEGMENTATION VERSUS WAVELET MAXIMA CHAIN EDGE REPRESENTATION FOR NUCLEI DETECTION IN MICROSCOPY IMAGES OF THYROID NODULES

J. Kybic, D. Cavouras, I. Kalatzis, 2005 .

Robust Estimation of Bioaffinity Assay Fluorescence Signals

Ulla Ruotsalainen, Jussi Tohka, Dimitris Glotsos, 2006, IEEE Transactions on Information Technology in Biomedicine.

Brain tumor characterization using the soft computing technique of fuzzy cognitive maps

Panagiota Spyridonos, Chrysostomos D. Stylios, Dimitris Glotsos, 2008, Appl. Soft Comput..

Creating an "electromagnetic interference risk distribution map" in the modern hospital

Basile Spyropoulos, I. Marneris, D. Glotsos, 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

A comparative study of individual and ensemble majority vote cDNA microarray image segmentation schemes, originating from a spot-adjustable based restoration framework

Dimitris Glotsos, Spiros Kostopoulos, George Nikiforidis, 2009, Comput. Methods Programs Biomed..

Enhancing the discrimination accuracy between metastases, gliomas and meningiomas on brain MRI by volumetric textural features and ensemble pattern recognition methods.

Pantelis Georgiadis, Dionisis Cavouras, Ioannis Kalatzis, 2009, Magnetic resonance imaging.

Texture analysis of articular cartilage traumatic changes in the knee calculated from morphological 3.0T MR imaging.

D. Cavouras, M. Vlychou, K. Malizos, 2013, European journal of radiology.

AN ENSEMBLE TEMPLATE MATCHING AND CONTENT-BASED IMAGE RETRIEVAL SCHEME TOWARDS EARLY STAGE DETECTION OF MELANOMA

Spiros Kostopoulos, George Nikiforidis, Dimitris Glotsos, 2016 .

An intensity-region driven multi-classifier scheme for improving the classification accuracy of proteomic MS-spectra

Anastasios Bezerianos, Ioannis Kalatzis, Dimitris Glotsos, 2010, Comput. Methods Programs Biomed..

A modified Seeded Region Growing algorithm for vessel segmentation in breast MRI images for investigating the nature of potential lesions

D Cavouras, Spiros Kostopoulos, Pantelis A. Asvestas, 2014 .

Segmentation of Complementary DNA Microarray Images by Wavelet-Based Markov Random Field Model

Pantelis Georgiadis, Ioannis Kalatzis, Dimitris Glotsos, 2009, IEEE Transactions on Information Technology in Biomedicine.

Automated segmentation of routinely hematoxylin-eosin-stained microscopic images by combining support vector machine clustering and active contour models.

Dimitris Glotsos, Dionisis Cavouras, Panagiota Ravazoula, 2004, Analytical and quantitative cytology and histology.

A GPU-based computer-assisted microscopy system for assessing the importance of different families of histological characteristics in cancer diagnosis

Ioannis Kalatzis, Spiros Kostopoulos, Dimitris Glotsos, 2014, International Conference on Graphic and Image Processing.

Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification scheme

D. Cavouras, I. Kalatzis, G. Nikiforidis, 2008, Comput. Methods Programs Biomed..

Computer-based image analysis system designed to differentiate between low-grade and high-grade laryngeal cancer cases.

Ioannis Kalatzis, Emmanouil Athanasiadis, Spiros Kostopoulos, 2013, Analytical and quantitative cytopathology and histopathology.

Fuzzy C-means-driven FHCE contextual segmentation method for mammographic microcalcification detection

Ioannis Kalatzis, Spiros Kostopoulos, Dionisis Cavouras, 2010 .

Computer-based malignancy grading of astrocytomas employing a support vector machine classifier, the WHO grading system and the regular hematoxylin-eosin diagnostic staining procedure.

Dimitris Glotsos, Dionisis Cavouras, Panagiota Ravazoula, 2004, Analytical and quantitative cytology and histology.

Three‐dimensional tissue volume generation in conventional brightfield microscopy

D. Cavouras, P. Asvestas, S. Kostopoulos, 2022, Microscopy research and technique.