Dimitris Glotsos - researchr alias

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Viewing Publication 1 - 27 from 27

2023

2021

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 materialAngeliki Theodosi, Sotiris Ouzounis, Spiros Kostopoulos, Dimitris Glotsos, Ioannis Kalatzis, Vassiliki Tzelepi, Panagiota Ravazoula, Pantelis Asvestas, Dionisis A. Cavouras, George Sakellaropoulos. mva, 32(3):58, 2021. [doi]

2018

Image quilting and wavelet fusion for creation of synthetic microscopy nuclei imagesDimitris Glotsos, Spiros Kostopoulos, Panagiota Ravazoula, Dionisis A. Cavouras. cmpb, 162:177-186, 2018. [doi]

2017

Development of a Reference Image Collection Library for Histopathology Image Processing, Analysis and Decision Support Systems ResearchSpiros Kostopoulos, Panagiota Ravazoula, Pantelis Asvestas, Ioannis Kalatzis, George Xenogiannopoulos, Dionisis Cavouras, Dimitris Glotsos. jdi, 30(3):287-295, 2017. [doi]

2013

Breast Cancer Characterization Based on Image Classification of Tissue Sections Visualized under Low MagnificationConstantinos G. Loukas, Spiros Kostopoulos, Anna Tanoglidi, Dimitris Glotsos, Konstantinos Sfikas, Dionisis Cavouras. cmmm, 2013, 2013. [doi]

Multimodality GPU-based computer-assisted diagnosis of breast cancer using ultrasound and digital mammography imagesKonstantinos Sidiropoulos, Spiros Kostopoulos, Dimitris Glotsos, Emmanouil Athanasiadis, Nikos Dimitropoulos, John Stonham, Dionisis Cavouras. cars, 8(4):547-560, 2013. [doi]

Designing a pattern recognition system on GPU for discriminating between patients with micro-ischaemic and multiple sclerosis lesions, using MRI imagesEkaterini Solomou, Spiros Kostopoulos, Konstantinos Sidiropoulos, Emmanouil Athanasiadis, Eleftherios Lavdas, Dimitris Glotsos, George Sakellaropoulos, Petros Zampakis, John Stonham, Dionisis Cavouras. ijhpca, 27(3):348-359, 2013. [doi]

2012

Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unitKonstantinos Sidiropoulos, Dimitris Glotsos, Spiros Kostopoulos, Panagiota Ravazoula, Ioannis Kalatzis, Dionisis Cavouras, John Stonham. cbm, 42(4):376-386, 2012. [doi]

2011

A wavelet-based Markov random field segmentation model in segmenting microarray experimentsEmmanouil Athanasiadis, Dionisis Cavouras, Spiros Kostopoulos, Dimitris Glotsos, Ioannis Kalatzis, George Nikiforidis. cmpb, 104(3):307-315, 2011. [doi]

2010

2009

2008

Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological imagesAntonis Daskalakis, Spiros Kostopoulos, Panagiota Spyridonos, Dimitris Glotsos, Panagiota Ravazoula, Maria Kardari, Ioannis Kalatzis, Dionisis Cavouras, George Nikiforidis. cbm, 38(2):196-203, 2008. [doi]

Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification schemeDimitris Glotsos, Ioannis Kalatzis, Panagiota Spyridonos, Spiros Kostopoulos, Antonis Daskalakis, Emmanouil Athanasiadis, Panagiota Ravazoula, George Nikiforidis, Dionisis Cavouras. cmpb, 90(3):251-261, 2008. [doi]

Brain tumor characterization using the soft computing technique of fuzzy cognitive mapsElpiniki Papageorgiou, Panagiota Spyridonos, Dimitris Glotsos, Chrysostomos D. Stylios, Panagiota Ravazoula, George Nikiforidis, Peter P. Groumpos. asc, 8(1):820-828, 2008.

2007

2006

Robust Estimation of Bioaffinity Assay Fluorescence SignalsDimitris Glotsos, Jussi Tohka, J. Soukka, J. T. Soini, Ulla Ruotsalainen. titb, 10(4):733-739, 2006. [doi]

Comparative evaluation of support vector machines and probabilistic neural networks in superficial bladder cancer classificationPanagiota Spyridonos, Panagiotis Petalas, Dimitris Glotsos, Dionisis Cavouras, Panagiota Ravazoula, George Nikiforidis. jcmse, 6(5-6):283-292, 2006. [doi]

2005

Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machinesDimitris Glotsos, Jussi Tohka, Panagiota Ravazoula, Dionisis Cavouras, George Nikiforidis. IJNS, 15(1-2):1-11, 2005. [doi]

2004

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 ClassificationDimitris Glotsos, Panagiota Spyridonos, Panagiota Ravazoula, Dionisis Cavouras, George Nikiforidis. iconip 2004: 1058-1063 [doi]

2002

A prognostic-classification system based on a probabilistic NN for predicting urine bladder cancer recurrencePanagiota Spyridonos, Dimitris Glotsos, Dionisis A. Cavouras, Panagiota Ravazoula, George Nikiforidis. icdsp 2002: 1161-1164 [doi]

Pattern recognition based segmentation method of cell nuclei in tissue section analysisPanagiota Spyridonos, Dimitris Glotsos, Dionisis A. Cavouras, Panagiota Ravazoula, Valery V. Zolotaryov, George Nikiforidis. icdsp 2002: 1121-1124 [doi]

2000

An Information System Supporting Electromagnetic Compatibility and Radiation Risk Management in the Modern HospitalBasile Spyropoulos, Dimitris Batistatos, Dimitris Glotsos, Ioannis Marneris. amia 2000: [doi]

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