Journal Articles
J26. M.A. Savelonas, C.N. Veinidis, T.K. Bartsokas, “Computer Vision and Pattern Recognition for the Analysis of 2D/3D Remote Sensing Data in Geoscience: A Survey,” Remote Sensing (IF: 5.349), accepted for publication, MDPI, 2022.
J25. M. Liaskos, M.A. Savelonas, P.A. Asvestas, D. Papageorgiou, G.K. Matsopoulos, “Vertebrae, IVD and Spinal Canal Boundary Extraction on MRI, Utilizing CT-trained Active Shape Models,” International Journal of Computer Assisted Radiology and Surgery (IF: 3.421), vol. 16, no. 12, pp. 2201-2214, Springer, 2021.
J24. M. Savelonas, I. Vernikos, D. Mantzekis, E. Spyrou, A. Tsakiri, S. Karkanis, “Hybrid Representation of Sensor Data for the Classification of Driving Behaviour,” Applied Sciences (IF: 2.838), vol. 11, no. 8, 8574, MDPI, 2021.
J23. I. Evangelou, M. Savelonas, G. Papaioannou, “PU Learning-based Recognition of Structural Elements in Architectural Floor Plans,” Multimedia Tools and Applications (IF: 2.577), vol. 80, no. 9, pp. 13235-13252, Springer, 2021.
J22. M. Liaskos, M.A. Savelonas, P.A. Asvestas, M.G. Lykissas, G.K. Matsopoulos, “Bimodal CT/MRI-based Segmentation Method for Intervertebral Disc Boundary Extraction,” Information, vol. 11, no. 9, 448, MDPI, 2020.
J21. S. Mastromichalakis, S. Chountasis, M.A. Savelonas, “Image Representation of a Signal for a Fractional Fourier Transform Watermarking Scheme,” Journal of Information and Optimization Sciences, vol. 40, no. 1, pp. 81-95, Taylor and Francis, 2019.
J20. M.A. Savelonas, I. Pratikakis, T. Theoharis, G. Thanellas, F. Abad, R. Bendahan, “Spatially Sensitive Statistical Shape Analysis for Pedestrian Recognition from LIDAR Data,” Computer Vision and Image Understanding (IF: 4.886), vol. 171, pp. 1-9, Elsevier Science, 2018.
J19. I. Pratikakis, M. Savelonas, P. Mavridis, G. Papaioannou, K. Sfikas, F. Arnaoutoglou, D. Rieke-Zapp, “Predictive Digitisation of Cultural Heritage Objects,” Multimedia Tools and Applications (IF: 2.577), vol. 77, no. 10, Springer, pp. 12991-13021, 2018.
J18. M.A. Savelonas, I. Pratikakis, K. Sfikas, “Fisher Encoding of Differential Fast Point Feature Histograms for Partial 3D Object Retrieval,” Pattern Recognition (IF: 8.518), vol. 55, pp. 114-124, Elsevier Science, 2016.
J17. K. Sfikas, I. Pratikakis, A. Koutsoudis, M. Savelonas, T. Theoharis, “Partial Matching of 3D Cultural Heritage Objects using Panoramic Views,” Multimedia Tools and Applications (IF: 2.577), vol. 75, no. 7, pp. 3693-3707, Springer, 2016.
J16. M. Savelonas, I. Pratikakis, K. Sfikas, “An Overview of Partial 3D Object Retrieval Methodologies,” Multimedia Tools and Applications (IF: 2.577), vol. 74, no. 24, 11783-11808, Springer, 2015.
J15. P. Kulkarni, E. Burton, M. Savelonas, R. Padmanabhan, Y. Lu, K. Trett, W. Shain, L. Leasure, B. Roysam, “Quantitative 3-D Analysis of GFAP Labeled Astrocytes from Fluorescence Confocal Images,” Journal of Neuroscience Methods (IF: 2.987), vol. 246, pp. 38-51, Elsevier Science, 2015.
J14. E.A. Mylona, M.A. Savelonas, D. Maroulis, “Self-parameterized Active Contours based on Regional Edge Structure for Medical Image Segmentation,” SpringerPlus (IF: 0.982), vol. 3, no. 1, pp. 1-9, Springer, 2014.
J13. E.A. Mylona, M.A. Savelonas, D. Maroulis, “Automated Adjustment of Region-based Active Contour Parameters using Local Image Geometry,” IEEE Transactions on Cybernetics (IF: 19.118), vol. 44, no. 12, pp. 2757-2770, 2014.
J12. S. Chountasis, M.A. Savelonas, “Image Reconstruction from an Efficient Number of Moment-based Projections,” International Journal of Computer Mathematics (IF: 1.931), vol. 90, no. 4, pp. 1040-1056, Taylor and Francis, 2013.
J11. D.K. Iakovidis, S. Tsevas, M.A. Savelonas, G. Papamichalis, “Image Analysis Framework for Infection Monitoring,” IEEE Transactions on Biomedical Engineering (IF: 4.756), vol. 59, no. 4, pp. 1135-1144, 2012.
J10. M.A. Savelonas, E.A. Mylona, D. Maroulis, “Unsupervised 2D Gel Electrophoresis Image Segmentation based on Active Contours,” Pattern Recognition (IF: 8.518), vol. 45, no. 2, pp. 720-731, Elsevier Science, 2012.
J9. E.A. Mylona, M.A. Savelonas, D. Maroulis, S. Kossida, “A Computer-based Technique for Automated Spot Detection in Proteomics Images,” IEEE Transactions on Information Technology in Biomedicine (IF: 2.493), vol 15, no. 4, pp. 661-667, 2011.
J8. Ι. Legakis, M.A. Savelonas, D. Maroulis, D.K. Iakovidis, “Computer-based Nodule Malignancy Risk Assessment in Thyroid Ultrasound Images,” International Journal of Computers and Applications, vol. 33, no. 1, pp. 29-35, Taylor and Francis, 2011.
J7. M.A. Savelonas, S. Chountasis, “Noise-resistant Watermarking in the Fractional Fourier Domain utilizing Moment-based Image Representation,” Signal Processing (IF: 4.729), vol. 90, no. 8, pp. 2521-2528, Elsevier Science, 2010.
J6. D.K. Iakovidis, M.A. Savelonas, G. Papamichalis, “Robust Model-based Detection of the Lung Field Boundaries in Portable Chest Radiographs supported by Selective Thresholding,” Measurement in Science and Technology (IF: 2.398), Special Issue on Imaging Systems and Techniques, vol. 20, no. 10, pp. 104019, IOP Science, 2009.
J5. M. Savelonas, D. Maroulis, M. Sangriotis, “A Computer-aided System for Malignancy Risk Assessment of Nodules in Thyroid US Images based on Boundary Features,” Computer Methods and Programs in Biomedicine (IF: 7.027), vol. 96, no. 7, pp. 25-32, Elsevier Science, 2009.
J4. M.A. Savelonas, D.K. Iakovidis, I. Legakis, D. Maroulis, “Active Contours guided by Echogenicity and Texture for Delineation of Thyroid Nodules in Ultrasound Images,” IEEE Transactions on Information Technology in Biomedicine (IF: 2.493), vol. 13, no. 4, pp. 519-527, 2009.
J3. M.A. Savelonas, D.K. Iakovidis, D. Maroulis, “LBP-guided Active Contours,” Pattern Recognition Letters (IF: 4.757), vol. 29, no. 9, pp. 1405-1415, Elsevier Science, 2008.
J2. D.K. Iakovidis, M.A. Savelonas, S.A. Karkanis, D.E. Maroulis, “A Genetically Optimized Level Set Approach to Segmentation of Thyroid Ultrasound Images,” Applied Intelligence (IF: 5.019), Special Issue on Computational Intelligence in Medicine and Biology, vol. 27, no. 3, pp. 193-203, Springer, 2007.
J1. D.E. Maroulis, M.A. Savelonas, D.K. Iakovidis, S.A. Karkanis, N. Dimitropoulos, “Variable Background Active Contour Model for Computer-aided Delineation of Nodules in Thyroid Ultrasound Images,” IEEE Transactions on Information Technology in Biomedicine (IF: 2.493), vol. 11, no. 5, pp. 537-543, 2007.
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Book Chapters
B6. I. Vernikos, E. Spyrou, M. Savelonas, S. Karkanis, “An Image-Based Approach for Classification of Driving Behaviour using CNNs,” accepted in Advances in Intelligent Systems and Computing, Springer, 2020.
B5. D. Bariamis, M. Savelonas, D. Maroulis, “Machine Learning-based DNA Microarray Image Gridding,” in Microarray Image and Data Analysis: Theory and Practice, eds. L. Rueda, CRC Press/Taylor and Francis, 2014.
B4. E.A. Mylona, M.A. Savelonas, D. Maroulis, “Towards Self-parameterized Active Contours for Medical Image Segmentation with Emphasis on Abdomen,” in Abdomen and Thoracic Imaging: An Engineering & Clinical Perspective, eds. A.S. El-Baz et al., New York, Springer, 2014.
B3. D.K. Iakovidis, M.A. Savelonas, D. Maroulis, “Adaptive Vision System for Segmentation of Echographic Medical Images based on a Modified Mumford-Shah Functional,” in Lecture Notes in Computer Science, Advanced Concepts on Intelligent Vision Systems, vol. 4678, pp. 565-574, eds. J. Blanc-Talon, W. Philips, D. Popescu, Berlin, Heidelberg, Springer, 2007.
B2. M.A. Savelonas, D.K. Iakovidis, D. Maroulis, “Bimodal Texture Segmentation with the Lee-Seo Model,” in Lecture Notes in Computer Science, International Conference on Image Analysis and Representation, vol. 4633, pp. 246-253, Berlin, Heidelberg, Springer, 2007.
B1. M.A. Savelonas, D.K. Iakovidis, D.E. Maroulis, S.A. Karkanis, “An Active Contour Model guided by LBP Distributions,” in Lecture Notes in Computer Science, Advanced Concepts on Intelligent Vision Systems, vol. 4179, pp. 197-207, eds. J. Blanc-Talon, W. Philips, D. Popescu, Berlin, Heidelberg, Springer, 2006.
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Articles in International Conference Proceedings
I31. M. Savelonas, D. Mantzekis, N. Labiris, A. Tsakiri, S. Karkanis, E. Spyrou, “Hybrid Time-series Representation for the Classification of Driving Behaviour,” accepted in Proc. IEEE International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP), Zakynthos, Greece, 2020.
I30. M. Savelonas, S. Karkanis, E. Spyrou, “Classification of Driving Behaviour using Short-term and Long-term Summaries of Sensor Data,” accepted in Proc. IEEE South East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Corfu, Greece, 2020.
I29. G. Sovatzidi, D.-C. Koutsiou, M. Savelonas, D.K. Iakovidis, “Image Segmentation based on Determinative Brain Storm Optimization,” accepted in Proc. IEEE International Workshop on Semantic and Social Media Adaptation & Personalization (SMAP), Zakynthos, Greece, 2020.
I28. D.-C. Koutsiou, M. Savelonas, D.K. Iakovidis, “H-V Shadow Detection based on Electromagnetism-like Optimization,” accepted in Proc. European Signal Processing Conference (EUSIPCO), Amsterdam, Netherlands, 2020.
I27. D. Mantzekis, M. Savelonas, S. Karkanis, E. Spyrou, “RNNs for Classification of Driving Behaviour,” in Proc. International Symposium on Information, Intelligence, Systems and Applications (IISA), Patras, Greece, 2019.
I26. M.A. Savelonas, A. Andreadis, G. Papaioannou, P. Mavridis, “Exploiting Unbroken Surface Congruity for the Acceleration of Fragment Reassembly,” in Proc. Eurographics, Workshop on Graphics and Cultural Heritage (GCH), Graz, Austria, 2017.
I25. I. Pratikakis, M.A. Savelonas, F. Arnaoutoglou, G. Ioannakis, A. Koutsoudis, T. Theoharis, M.-T. Tran, V.-T. Nguyen, V.-K. Pham, H.-D. Nguyen, H.-A. Le, B.-H. Tran, Q.H. To, M.-B. Truong, T.V. Phan, M.-D. Nguyen, T.-A. Than, K.-N.C. Mac, M.N. Do, A.-D. Duong, T. Furuya, R. Ohbuchi, M. Aono, S. Tashiro, D. Pickup, X. Sun, P.L. Rosin, R.R. Martin, “SHREC’16 Track: Partial Shape Queries for 3D Object Retrieval,” in Proc. Eurographics, Workshop on 3D Object Retrieval (3DOR), Lisbon, Portugal, 2016.
I24. M. Savelonas, I. Pratikakis, K. Sfikas, “Partial 3D Object Retrieval combining Local Shape Descriptors with Global Fisher Vectors,” in Proc. Eurographics, Workshop on 3D Object Retrieval (3DOR), Zurich, Switzerland, 2015, pp. 23-30.
I23. L. Tsochatzidis, K. Zagoris, M. Savelonas, N. Papamarkos, I. Pratikakis, N. Arikidis, L. Costaridou, “Microcalcification Oriented Content-based Mammogram Retrieval for Breast Cancer Diagnosis,” in Proc. IEEE International International Conference on Imaging Systems and Techniques (IST), Santorini, Greece, 2014.
I22. L. Tsochatzidis, K. Zagoris, M. Savelonas, I. Pratikakis, “SVM-based CBIR of Breast Masses on Mammograms,” in Proc. European Conference on Artificial Intelligence (ECAI), Workshop on Artificial Intelligence and Assistive Medicine, Prague, Czech Republic, 2014, pp. 26-30.
I21. M. Savelonas, I. Pratikakis, K. Sfikas, “Fisher Encoding of Adaptive Fast Persistent Feature Histograms for Partial Retrieval of 3D Pottery Objects,” in Proc. Eurographics, Workshop on 3D Object Retrieval (3DOR), Strasbourg, France, 2014, pp. 61-68.
I20. K. Sfikas, I. Pratikakis, A. Koutsoudis, M. Savelonas, T. Theoharis, “3D Object Partial Matching using Panoramic Views,” in Proc. IEEE International Conference on Image Analysis and Processing (ICIAP), Workshop on Multimedia for Cultural Heritage (MM4CH), Naples, Italy, 2013, pp. 169-178.
I19. E.A. Mylona, M.A. Savelonas, D. Maroulis, “Automated Parameterization of Active Contours: a Brief Survey,” in Proc. IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), Athens, Greece, 2013.
I18. E.A. Mylona, M.A. Savelonas, D. Maroulis, “Self-adjusted Active Contours Using Multi-directional Texture Cues,” in Proc. IEEE International Conference on Image Processing (ICIP), Melbourne, Australia, 2013.
I17. E.A. Mylona, M.A. Savelonas, D. Maroulis, A.N. Skodras, “Autopilot Spatially-adaptive Active Contour Parameterization for Medical Image Segmentation,” in Proc. IEEE International Symbosium on Computer-based Medical Systems (CBMS), Porto, Portugal, 2013, pp. 268-272.
I16. E.A. Mylona, M.A. Savelonas, E. Zacharia, C. Pattichis, D. Maroulis, “Unsupervised Level Set Parameterization Using Multi-Scale Filtering,” in Proc. IEEE International Conference on Digital Signal Processing (DSP), Santorini, Greece, 2013.
I15. Y. Xu, M. Savelonas, P. Qiu, K. Trett, W. Shain, B. Roysam, “Unsupervised Inference of Arbor Morphology Progression for Microglia from Confocal Microscope Images,” in Proc. IEEE International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, San Francisco, CA, USA, 2013.
I14. E.A. Mylona, M.A. Savelonas, D. Maroulis, “Entropy-based Spatially-Varying Adjustment of Active Contour Parameters,” in Proc. IEEE International Conference on Image Processing (ICIP), Orlando, FL, USA, 2012, pp. 2565-2568.
I13. E.A. Mylona, M.A. Savelonas, D. Maroulis, M. Aivaliotis, “2D-GE Image Segmentation based on Level-Sets,” in Proc. IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011, pp. 2141-2144.
I12. M. Savelonas, E. Mylona, D. Maroulis, “An Automatically Initialized Level-Set Approach for the Segmentation of Proteomics Images,” in Proc. IEEE International Workshop on Biomedical Engineering, Kos, Greece, 2011.
I11. M. Savelonas, E. Mylona, D. Maroulis, “A Level Set Approach for Proteomics Image Analysis,” in Proc. European Signal Processing Conference (EUSIPCO), Aalborg, Denmark, 2010, pp. 1229-1233.
I10. E.A. Mylona, M.A. Savelonas, D. Maroulis, A. Vlahou, M. Makridakis, “Protein Spot Detection in 2D-GE Images using Morphological Operators,” in Proc. IEEE International Symposium on Computer-Based Medical Systems (CBMS), Perth, Australia, 2010, pp. 291-296.
I9. E. Mylona, M. Savelonas, D. Maroulis, “A Two-Stage Active Contour-based Scheme for Spot Detection in Proteomics Images,” in Proc. IEEE International Conference on Information Technology Applications in Biomedicine (ITAB), Corfu, Greece, 2010.
I8. M. Savelonas, D. Maroulis, E. Mylona, “Segmentation of Two-Dimensional Gel Electrophoresis Images containing Overlapping Spots,” in Proc. IEEE International Conference on Information Technology Applications in Biomedicine (ITAB), Larnaca, Cyprus, 2009.
I7. D.K. Iakovidis, M. Savelonas, “Active Shape Model Aided by Selective Thresholding for Lung Field Segmentation in Chest Radiographs,” in Proc. IEEE International Conference on Information Technology Applications in Biomedicine (ITAB), Larnaca, Cyprus, 2009.
I6. M.Α. Savelonas, D.K. Iakovidis, “Shielding Active Shape Models against Weak Lung Field Boundaries for Segmentation of Chest Radiographs,” in Proc. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Workshop on Pulmonary Image Analysis, London, UK, 2009, pp. 83-91.
I5. M.Α. Savelonas, D.K. Iakovidis, N. Dimitropoulos, D. Maroulis, “Computational Characterization of Thyroid Tissue in the Radon Domain,” in Proc. IEEE International Symposium on Computer-Based Medical Systems (CBMS), Maribor, Slovenia, 2007, pp. 189-192.
I4. Μ.Α. Savelonas, D.K. Iakovidis, D.E. Maroulis, “An LBP-based Active Contour Algorithm for Unsupervised Texture Segmentation,” in Proc. IAPR International Conference on Pattern Recognition (ICPR), Hong Kong, China, 2006 (rated within the first 15% of the accepted papers), vol. 3, pp. 279-282.
I3. D.K. Iakovidis, M.A. Savelonas, S.A. Karkanis, D.E. Maroulis, “Segmentation of Medical Images with Regional Inhomogeneities,” in Proc. IAPR International Conference on Pattern Recognition (ICPR), Hong Kong, China, 2006, vol. 2, pp. 976-979.
I2. M. Savelonas, D. Maroulis, D. Iakovidis, S. Karkanis, N. Dimitropoulos, “A Variable Background Active Contour Model for Automatic Detection of Thyroid Nodules in Ultrasound Images,” in Proc. IEEE International Conference on Image Processing (ICIP), Genova, Italy, 2005 (rated within the first 15% of the accepted papers), vol. 1, pp. I-17-20.
I1. D.E. Maroulis, M.Α. Savelonas, S.A. Karkanis, D.K. Iakovidis, N. Dimitropoulos, “Computer-aided Thyroid Nodule Detection in Ultrasound Images,” in Proc. IEEE International Symposium on Computer-Based Medical Systems (CBMS), Dublin, Ireland, 2005, pp. 271-276.
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Articles in National Conference Proceedings
N5. E. Μυλωνά, Μ. Σαβελώνας, Δ. Μαρούλης, “Υπολογιστική Μεθοδολογία Εντοπισμού Πρωτεϊνών και Συνεισφορά της στον Κλάδο της Υγείας,” στα Πρακτικά του Πανελληνίου Συνεδρίου Φυσικής, Ένωση Ελλήνων Φυσικών, Καμένα Βούρλα, 2012.
N4. M.A. Savelonas, D.E. Maroulis, D.K. Iakovidis, N. Dimitropoulos, “Computer-aided Malignancy Risk Assessment of Nodules in Thyroid US Images Utilizing Boundary Descriptors,” Proc. Panhellenic Conference on Informatics (PCI), Samos, Greece, 2008, pp. 157-160.
N3. M. Σαβελώνας, Δ. Μαρούλης, Δ. Ιακωβίδης, “Κατάτμηση Υφής με χρήση Τελεστή Τοπικού Δυαδικού Προτύπου και Εφαρμογή Μοντέλου Ενεργού Περιγράμματος χωρίς Ακμές,” στα Πρακτικά του Πανελληνίου Συνεδρίου Φυσικής, Ένωση Ελλήνων Φυσικών, Λάρισα, 2006.
N2. M.A. Savelonas, D.E. Maroulis, D.K. Iakovidis, S.A. Karkanis, “A Novel Deformable Model for Medical US Image Segmentation,” in Proc. Panhellenic Conference on Informatics (PCI), Volos, Greece, 2005, pp. 469-474.
N1. M. Σαβελώνας, Δ. Μαρούλης, Δ. Ιακωβίδης, “Επεξεργασία Ιατρικών Εικόνων Θυρεοειδούς και
Εντοπισμός Όζων,” στα Πρακτικά του Πανελληνίου Συνεδρίου Φυσικής, Ένωση Ελλήνων και Κυπρίων Φυσικών, Κύπρος, 2005.
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Abstracts
O11. S. Karkanis, M. Savelonas, E. Spyrou, D. Koulocheris, C. Vossou, T. Tsiourva, “Driving Safety of Heavy Trucks based on Various Sensory Data During Freight Transport,” in Proc. European Transport Conference, Milan, Italy, 2020.
O10. P. Kulkarni, M. Savelonas, J. Luisi, B. Busse, R.K. Padmanabhan, V. Somasundar, K. Trett, C. Harris, P. Chong, W. Shain, B. Roysam, “A Machine-learning Method for Identification and Tracing of Astrocyte Cells in 3D Confocal Microscopy Images,” Society for Neuroscience Annual Meeting, New Orleans, LA, USA, 2012.
O9. H. Dinh, M. Savelonas, B. Roysam, F. Laezza, D. Labate, “Automated Quantitative Image Analysis of Voltage-Gated Na+ Channels at the Axonal Initial Segment,” Society for Neuroscience Annual Meeting, New Orleans, LA, USA, 2012.
O8. B. Roysam, R. Padmanabhan, Y. Xu, Y. Lu, J. Luisi, M. Savelonas, B. Busse, V. Somasundar, N. Rey-Villamizar, P. Kulkarni, H. Cheung, A. Cheong, L. Carin, C.-L. Tsai, K. Trett, C. Harris, P. Chong, W. Shain, “FARSIGHT: A Computational Toolkit for Quantitative Three-Dimensional Multiparameter Profiling of Gliovascular Brain Tissue Surrounding Implanted Neuroprosthetic Devices,” Society for Neuroscience Annual Meeting, New Orleans, LA, USA, 2012.
O7. W. Shain, K. Trett, C. Harris, P. Chong, B. Roysam, R . Padmanabhan, Y. Xu, Y. Lu, J. Luisi, M. Savelonas, B. Busse, V. Somasundar, N. Rey-Villamizar, P. Kulkarni, H. Cheung, A. Cheong, D. Kipke, C. Stoetzner, R. Vetter, L. Carin, “Changes in Astrocyte, Microglia and Neuron Morphologies and Distributions around Implanted Microfabricated Neural Prosthetic Devices of Different Designs,” Society for Neuroscience Annual Meeting, New Orleans, LA, USA, 2012.
O6. B. Busse, R. Padmanabhan, M. Savelonas, Y. Xu, W. Shain, S. Smith, B. Roysam, “Actively-linked Analytical Methods for Quantitative Profiling of Glia and Punctate Structures,” Society for Neuroscience Annual Meeting, New Orleans, LA, USA, 2012.
O5. A. Mukherjee, M. Savelonas, P. Kulkarni, V. Somasundar, Y. Xu, N. Rey-Villamizar, R.K. Padmanabhan, J. Luisi, B. Busse, Y. Lu, A. Cheong, K. Trett, C. Harris, P. Chong, W. Shain, B. Roysam, “Efficient Tree-based Tracing of Glial Cells in 3D Confocal Image Stacks,” Neural Interfaces Conference, Salt Lake City, UT, USA, 2012.
O4. R.K. Padmanabhan, V. Somasundar, A. Mukherjee, M. Savelonas, P. Kulkarni, Y. Xu, N. Rey-Villamizar, J. Luisi, B. Busse, Y. Lu, A. Cheong, K. Trett, C. Harris, P. Chong, X. Liao, B. Roysam, W. Shain, L. Carin, “3-D Cytometric Mapping of Brain Tissue Surrounding Implanted Devices,” Neural Interfaces Conference, Salt Lake City, UT, USA, 2012.
O3. Y. Xu, Y. Lu, J. Luisi, A. Cheong, N. Rey-Villamizar, R.K. Padmanabhan, V. Somasundar, P. Kulkarni, B. Busse, M. Savelonas, K. Trett, C. Harris, P. Chong, W. Shain, B. Roysam, “Arborial Analysis of Microglial Response to Microfabricated Silicon Device Implantation,” Neural Interfaces Conference, Salt Lake City, UT, USA, 2012.
O2. B. Roysam, R. Padmanabhan, Y. Xu, Y. Lu, J. Luisi, M. Savelonas, B. Busse, V. Somasundar, N. Rey-Villamizar, P. Kulkarni, H. Cheung, A. Cheong, L. Carin, C.-L. Tsai, K. Trett, C. Harris, P. Chong, D. Kipke, C. Stoetzner, R. Vetter, W. Shain, “Quantitative 3-D Cellular-Scale Profiling of Brain Tissue Surrounding Implanted Devices,” Neural Interfaces Conference, Salt Lake City, UT, USA, 2012.
O1. Ι. Λεγάκης, Δ. Μαρούλης, M. Σαβελώνας, “Αυτόματος Εντοπισμός και Διάγνωση Θυρεοειδικών Όζων με χρήση Υπολογιστών,” στα Πρακτικά του Συνεδρίου Ιατρικές Ημέρες Νάξου, Νάξος, 2006.