Search Results - "GLOTSOS, D."

Breast Cancer Characterization Based on Image Classification of Tissue Sections Visualized under Low Magnification by Loukas, C., Kostopoulos, S., Tanoglidi, A., Glotsos, D., Sfikas, C., Cavouras, D.

“…Rapid assessment of tissue biopsies is a critical issue in modern histopathology. For breast cancer diagnosis, the shape of the nuclei and the architectural…”
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β-eye: A benchtop system for in vivo molecular screening of labeled compounds by Fysikopoulos, E., Rouchota, M., Georgiou, M., Sfyris, C., Cheimarios, N., Sarpaki, S., Kostopoulos, S., Glotsos, D., Larimer, B., Hunter, C., Lapi, S., Houson, H., Massicano, A.V.F., Sorace, A., Lamprou, E., Loudos, G.

“…Preclinical nuclear molecular imaging speeds up the mean time from synthesis to market, in drug development process. Commercial imaging systems have in general…”
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Assessing the performance of four different categories of histological criteria in brain tumours grading by means of a computer‐aided diagnosis image analysis system by KOSTOPOULOS, S., KONSTANDINOU, C., SIDIROPOULOS, K., RAVAZOULA, P., KALATZIS, I., ASVESTAS, P., CAVOURAS, D., GLOTSOS, D.

“…Summary Brain tumours are considered one of the most lethal and difficult to treat forms of cancer, with unknown aetiology and lack of any realistic screening…”
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Brain tumor characterization using the soft computing technique of fuzzy cognitive maps by Papageorgiou, E.I., Spyridonos, P.P., Glotsos, D. Th, Stylios, C.D., Ravazoula, P., Nikiforidis, G.N., Groumpos, P.P.

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SU‐E‐I‐71: Detection of Articular Knee Cartilage Defects Using PD BLADE with Fat Saturation (FS), PD FS and T2 3D DESS with Water Excitation (WE) by Mavroidis, P, Lavdas, E, Topalzikis, T, Kyriakis, I, Roka, V, Kostopoulos, S, Glotsos, D, Zilidis, K, Stathakis, S, Tsagkalis, A, Papanikolaou, N, Vassiou, K, Batsikas, G

“…Purpose: The purpose of this study, is to compare the sequences: 1) proton density (PD) BLADE with fat saturation (FS) coronal (COR), 2) PD FS COR, 3)…”
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SU‐E‐I‐69: Improving Image Quality in Brain MRI Using Blade Sequences by Mavroidis, P, Lavdas, E, Kostopoulos, S, Glotsos, D, Roka, V, Topalzikis, T, Bakas, A, Oikonomou, G, Stathakis, S, Papanikolaou, N, Batsikas, G, Kaffes, I, Kechagias, D

“…Purpose: The purpose of this study is to compare two types of sequences for brain MR examination of uncooperative and cooperative patients. For each group of…”
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Robust Estimation of Bioaffinity Assay Fluorescence Signals by Glotsos, D., Tohka, J., Soukka, J., Soini, J.T., Ruotsalainen, U.

“…In this paper, the challenging problem of robust mean-signal estimation of a single-step microparticle bioaffinity assay is investigated. For this purpose, a…”
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P.8.2 CLASSIFICATION OF GLAUCOMATOUS PATIENTS FROM NORMAL SUBJECTS USING THE PORTABLE RETEVAL DEVICE AND MACHINE LEARNING ALGORITHMS by Bekollari, M., Dettoraki, M., Stavrou, V., Glotsos, D., Liaparinos, P.

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PP.2.4 THE INFLUENCE OF DEEP LEARNING IMAGE RECONSTRUCTION IN IMAGE QUALITY AND DOSE OPTIMIZATION IN COMPUTED TOMOGRAPHY by Dimos, K., Gkotsis, D.E., Glotsos, D., Kostopoulos, S.

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A hybrid pixel-based classification method for blood vessel segmentation and aneurysm detection on CTA by Kostopoulos, S., Glotsos, D., Kagadis, G.C., Daskalakis, A., Spyridonos, P., Kalatzis, I., Karamessini, M., Petsas, T., Cavouras, D., Nikiforidis, G.

“…In the present study, a hybrid semi-supervised pixel-based classification algorithm is proposed for the automatic segmentation of intracranial aneurysms in…”
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IMAGE ANALYSIS OF BRAIN MRI FOR ALZHEIMER’S DISEASE BASED ON RADIOMICS: PRELIMINARY RESULTS by Nalentzi, K., Glotsos, D., Lavdas, E., Kostopoulos, S.

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IDENTIFICATION OF LOW-GRADE GLIOMAS ON BRAIN MRI BASED ON DEEP NEURAL NETWORKS by Christoulakis, I., Glotsos, D., Cavouras, D., Kostopoulos, S.

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P.6.2 - IMAGE ANALYSIS OF BRAIN MRI FOR ALZHEIMER’S DISEASE BASED ON RADIOMICS: PRELIMINARY RESULTS by Nalentzi, K., Glotsos, D., Lavdas, E., Kostopoulos, S.

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P.6.1 - IDENTIFICATION OF LOW-GRADE GLIOMAS ON BRAIN MRI BASED ON DEEP NEURAL NETWORKS by Christoulakis, I., Glotsos, D., Cavouras, D., Kostopoulos, S.

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AUTOMATED BRAIN VOLUMETRY: ACCURACY AND RELIABILITY by Koussis, P., Toulas, P., Lamprou, E., Glotsos, D., Kechagias, D., Lavdas, E.

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O.6.4 - AUTOMATED BRAIN VOLUMETRY: ACCURACY AND RELIABILITY by Koussis, P., Toulas, P., Lamprou, E., Glotsos, D., Kechagias, D., Lavdas, E.

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P-ATROPHY, A COMPUTER PROGRAM FED WITH AGE AND HIPPOCAMPUS VOLUME, AS MEASURED BY VOLBRAIN SOFTWARE, CALCULATES SCHELTENS’ SCALE GRADE AND EVALUATES ATROPHY by Koussis, P., Toulas, P., Lamprou, E., Karanikas, C., Kechagias, D., Glotsos, D., Lavdas, E.

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P.6.6 - P-ATROPHY, A COMPUTER PROGRAM FED WITH AGE AND HIPPOCAMPUS VOLUME, AS MEASURED BY VOLBRAIN SOFTWARE, CALCULATES SCHELTENS’ SCALE GRADE AND EVALUATES ATROPHY by Koussis, P., Toulas, P., Lamprou, E., Karanikas, C., Kechagias, D., Glotsos, D., Lavdas, E.

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An image-analysis system based on support vector machines for automatic grade diagnosis of brain-tumour astrocytomas in clinical routine by Glotsos, D., Spyridonos, P., Cavouras, D., Ravazoula, P., Arapantoni Dadioti, P., Nikiforidis, G.

“…An image-analysis system based on the concept of Support Vector Machines (SVM) was developed to assist in grade diagnosis of brain tumour astrocytomas in…”
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ATROPHY EVALUATION USING HIPPOCAMPUS AND CEREBRUM VOLUMES, AS MEASURED BY VOLBRAIN SOFTWARE, IN CORRELATION OF SCHELETENS’ SCALE by Koussis, P., Toulas, P., Lamprou, E., Karanikas, C., Glotsos, D., Kechagias, D., Lavdas, E.

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