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Nikos Dimitropoulos

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Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 30, 2008
Morphological and wavelet features towards sonographic thyroid nodules evaluationStavros Tsantis, Nikos Dimitropoulos, Dionisis Cavouras, et al.
Scientific Reports|August 27, 2022
Transfer learning strategies for solar power forecasting under data scarcityElissaios Sarmas, Nikos Dimitropoulos, Vangelis Marinakis, et al.
Artificial Intelligence in Medicine|August 24, 2007
Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemesHarris Georgiou, Michael Mavroforakis, Nikos Dimitropoulos, et al.
European Journal of Radiology|March 31, 2005
Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machinesMichael Mavroforakis, Harris Georgiou, Nikos Dimitropoulos, et al.
Artificial Intelligence in Medicine|May 24, 2006
Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiersMichael E Mavroforakis, Harris V Georgiou, Nikos Dimitropoulos, et al.
Ultrasound in Medicine & Biology|November 16, 2005
Development of a support vector machine-based image analysis system for assessing the thyroid nodule malignancy risk on ultrasoundStavros Tsantis, Dionisis Cavouras, Ioannis Kalatzis, et al.
Computer Methods and Programs in Biomedicine|February 11, 2011
A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetryStylianos D Tzikopoulos, Michael E Mavroforakis, Harris V Georgiou, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|October 5, 2007
Variable background active contour model for computer-aided delineation of nodules in thyroid ultrasound imagesDimitris E Maroulis, Michalis A Savelonas, Dimitris K Iakovidis, et al.
Biomed Research International|June 5, 2014
Figure of image quality and information capacity in digital mammographyChristos M Michail, Nektarios E Kalyvas, Ioannis G Valais, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society|December 30, 2008
Morphological and wavelet features towards sonographic thyroid nodules evaluationStavros Tsantis, Nikos Dimitropoulos, Dionisis Cavouras, et al.
Scientific Reports|August 27, 2022
Transfer learning strategies for solar power forecasting under data scarcityElissaios Sarmas, Nikos Dimitropoulos, Vangelis Marinakis, et al.
Artificial Intelligence in Medicine|August 24, 2007
Multi-scaled morphological features for the characterization of mammographic masses using statistical classification schemesHarris Georgiou, Michael Mavroforakis, Nikos Dimitropoulos, et al.
European Journal of Radiology|March 31, 2005
Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machinesMichael Mavroforakis, Harris Georgiou, Nikos Dimitropoulos, et al.
Artificial Intelligence in Medicine|May 24, 2006
Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiersMichael E Mavroforakis, Harris V Georgiou, Nikos Dimitropoulos, et al.
Ultrasound in Medicine & Biology|November 16, 2005
Development of a support vector machine-based image analysis system for assessing the thyroid nodule malignancy risk on ultrasoundStavros Tsantis, Dionisis Cavouras, Ioannis Kalatzis, et al.
Computer Methods and Programs in Biomedicine|February 11, 2011
A fully automated scheme for mammographic segmentation and classification based on breast density and asymmetryStylianos D Tzikopoulos, Michael E Mavroforakis, Harris V Georgiou, et al.
IEEE Transactions on Information Technology in Biomedicine : a Publication of the IEEE Engineering in Medicine and Biology Society|October 5, 2007
Variable background active contour model for computer-aided delineation of nodules in thyroid ultrasound imagesDimitris E Maroulis, Michalis A Savelonas, Dimitris K Iakovidis, et al.
Biomed Research International|June 5, 2014
Figure of image quality and information capacity in digital mammographyChristos M Michail, Nektarios E Kalyvas, Ioannis G Valais, et al.
Pageof 1