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Browsing by Author Cavouras, D.

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Showing results 2 to 13 of 13 < previous 
TitleAuthor(s)Issue date???itemlist.???
CMOS Monolithic Active Pixel Sensors (MAPS): Developments and future outlookTurchetta, R.; Fant, A.; Gasiorek, P.; Esbrand, C.; Griffiths, J. A.; Metaxas, M. G.; Royle, G. J.; Speller, R.; Venanzi, C.; van der Stelt, P. F.; Verheij, H.; Li, G.; Theodoridis, S.; Georgiou, H.; Cavouras, D.; Hall, G.; Noy, M.; Jones, J.; Leaver, J.; Machin, D.; Greenwood, S.; Khaleeq, M.; Schulerud, H.; Ostby, J. M.; Triantis, F.; Asimidis, A.; Bolanakis, D. E.; Manthos, N.; Longo, R.; Bergamaschi, A.24-Nov-2015-
A computer-based diagnostic and prognostic system for assessing urinary bladder tumour grade and predicting cancer recurrenceSpyridonos, P.; Cavouras, D.; Ravazoula, P.; Nikiforidis, G.24-Nov-2015-
Computer-based grading of haematoxylin-eosin stained tissue sections of urinary bladder carcinomasSpyridonos, P.; Ravazoula, P.; Cavouras, D.; Berberidis, K.; Nikiforidis, G.24-Nov-2015-
Computer-based malignancy grading of astrocytomas employing a support vector machine classifier, the WHO grading system and the regular hematoxylin-eosin diagnostic staining procedureGlotsos, D.; Spyridonos, P.; Petalas, P.; Cavouras, D.; Ravazoula, P.; Dadioti, P. A.; Lekka, I.; Nikiforidis, G.24-Nov-2015-
Computerized analysis of digital subtraction angiography: a tool for quantitative in-vivo vascular imagingKagadis, G. C.; Spyridonos, P.; Karnabatidis, D.; Diamantopoulos, A.; Athanasiadis, E.; Daskalakis, A.; Katsanos, K.; Cavouras, D.; Mihailidis, D.; Siablis, D.; Nikiforidis, G. C.24-Nov-2015-
Design and characterization of the I-ImaS multi-element x-ray detector systemGriffiths, J. A.; Metaxas, M. G.; Royle, G. J.; Venanzi, C.; Esbrand, C.; Cavouras, D.; Fant, A.; Gasiorek, P.; Georgiou, H.; Hall, G.; Jones, J.; Leaver, J. D. G.; Longo, R.; Manthos, N.; Noy, M.; Ostby, J. M.; Rokvic, T.; Schulerud, H.; Theodoridis, S.; Triantis, F. A.; Turchetta, R.; Speller, R. D.24-Nov-2015-
Design of a multi-classifier system for discriminating benign from malignant thyroid nodules using routinely H&E-stained cytological imagesDaskalakis, A.; Kostopoulos, S.; Spyridonos, P.; Glotsos, D.; Ravazoula, P.; Kardari, M.; Kalatzis, I.; Cavouras, D.; Nikiforidis, G.24-Nov-2015-
I-IMAS: A 1.5D sensor for high-resolution scanningFant, A.; Gasiorek, P.; Turchetta, R.; Avset, B.; Bergamaschi, A.; Cavouras, D.; Evangelou, I.; French, M. J.; Galbiati, A.; Georgiou, H.; Hall, G.; Iles, G.; Jones, J.; Longo, R.; Manthos, N.; Metaxas, M. G.; Noy, M.; Ostby, J. M.; Psomadellis, F.; Royle, G. J.; Schulerud, H.; Speller, R. D.; van der Stelt, P. F.; Theodoridis, S.; Triantis, F.; Venanzi, C.24-Nov-2015-
An image-analysis system based on support vector machines for automatic grade diagnosis of brain-tumour astrocytomas in clinical routineGlotsos, D.; Spyridonos, P.; Cavouras, D.; Ravazoula, P.; Dadioti, P. A.; Nikiforidis, G.24-Nov-2015-
Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven support vector machine classifier into a two level grade classification schemeGlotsos, D.; Kalatzis, I.; Spyridonos, P.; Kostopoulos, S.; Daskalakis, A.; Athanasiadis, E.; Ravazoula, P.; Nikiforidis, G.; Cavouras, D.24-Nov-2015-
Neural network-based segmentation and classification system for automated grading of histologic sections of bladder carcinomaSpyridonos, P.; Cavouras, D.; Ravazoula, P.; Nikiforidis, G.24-Nov-2015-
Preliminary images from an adaptive imaging systemGriffiths, J. A.; Metaxas, M. G.; Pani, S.; Schulerud, H.; Esbrand, C.; Royle, G. J.; Price, B.; Rokvic, T.; Longo, R.; Asimidis, A.; Bletsas, E.; Cavouras, D.; Fant, A.; Gasiorek, P.; Georgiou, H.; Hall, G.; Jones, J.; Leaver, J.; Li, G.; Machin, D.; Manthos, N.; Matheson, J.; Noy, M.; Ostby, J. M.; Psomadellis, F.; van der Stelt, P. F.; Theodoridis, S.; Triantis, F.; Turchetta, R.; Venanzi, C.; Speller, R. D.24-Nov-2015-
Showing results 2 to 13 of 13 < previous