Journal publications

Medical Signal & Image Processing & Analysis – Scientific journal papers

  1. D. Cavouras and L.Norton Wayne. “Tomographic mapping of the activity of the heart wall” Pattern Recognition, Vol.14, N.1-6, pp. 17-32, 1981.
  2. D.Cavouras, P.Prassopoulos, N.Pantelidis. “Image analysis methods for solitary pulmonary nodule characterization by CT”. European Journal of Radiology,14:169, 1991.
  3. D.Cavouras and P.Prassopoulos. “Computer image analysis of brain CT images for discriminating hypodense cerebral lesions in children”. Medical Informatics, 19:13-20, 1994.
  4. E. Kofidis. N. Kolokotronis, A. Vassilarakou, S. Theodoridis,D. Cavouras “Wavelet-based medical image compression”. Future Generation Computer Systems (FGCS) 15:223-243,1999.
  5. Papaeliou C, Minadakis G, Cavouras D: Acoustic patterns of infant vocalizations expressing emotions and communicative functions. D J Speech Lang Hear Res, 45(2):311-7, Apr 2002.
  6. Kalatzis, D. Pappas, N. Piliouras, and D. Cavouras, “Support Vector Machines Based Analysis of Brain SPECT Images for Determining Cerebral Abnormalities in Asymptomatic Diabetic Patients”, Medical Informatics and the Internet in Medicine, Vol. 28, No 3, pp. 221-230, September 2003.
  7. N. Piliouras, I. Kalatzis, N. Dimitropoulos, and D. Cavouras, “Development of the Least Squares Mapping Linear-Kernel Support Vectors Machine Classifier for improving the characterization of breast lesions on ultrasound”, Computerized Medical Imaging and Graphics, Vol. 28, pp. 247-255, 2004.
  8. Kalatzis, N. Piliouras, E. Ventouras, C. C. Papageorgiou, A. D. Rabavilas, and D. Cavouras, “Design and Implementation of an SVM-based Computer Classification System for Discriminating Depressive Patients from Healthy Controls using the P600 Component of ERP Signals”, Computer Methods and Programs in Biomedicine, Vol. 75, No 1, pp. 11-22, July 2004.
  9. N. Piliouras, I. Kalatzis, P. Theocharakis, N. Dimitropoulos, and D. Cavouras, “Development of the Probabilistic Neural Network – Cubic Least Squares Mapping (PNN-LSM3) classifier to assess carotid plaque’s risk”, Pattern Recognition Letters, Vol. 25, No 2, pp. 249-258, January 2004.
  10. S. Tsantis, D. Cavouras, I. Kalatzis, N. Piliouras, N. Dimitropoulos, and G. Nikiforidis, “Development of a support vector machine-based image analysis system for assessing the thyroid nodule malignancy risk on ultrasound”, Ultrasound in Medicine and Biology31 (11),1451-1459, 2005.
  11. Kalatzis, N. Piliouras, E. Ventouras, C. Papageorgiou, I. Liappas, C. Nikolaou, A.  Rabavilas, and D. Cavouras, “Design and implementation of a multi-PNN structure for discriminating one-month abstinent heroin addicts from healthy controls using the P600 component of ERP signals”, Pattern Recognition Letters, Vol. 26, pp. 1691–1700, 2005.
  12. M. Mavroforakis, H. Georgiou, N. Dimitropoulos, D. Cavouras, S. Theodoridis. Significance analysis of qualitative mammographic features, using linear classifiers, neural networks and support vector machines,  European Journal of Radiology, Volume 54, Issue 1, Pages 80-89, April 2005.
  13. M. Mavroforakis, H. Georgiou, N. Dimitropoulos, D. Cavouras, S. Theodoridis. Mammographic masses characterization based on localized texture and dataset fractal analysis using linear, neural and support vector machine classifiers, Artificial Intelligence in Medicine, 37, 145—162, 2006.
  14. Boniatis I., Costaridou L., Cavouras D., Panagiotopoulos E., Panayiotakis G. “Quantitative assessment of hip osteoarthritis based on image texture  analysis”, The British Journal of Radiology, 79, 232-238, 2006.
  15. Boniatis I., Costaridou L., Cavouras D., Panagiotopoulos E., Panayiotakis G. “A computer-based image analysis method for assessing the severity of hip joint osteoarthritis”, 569(2), pp. 610-613, 2006.
  16. Boniatis, L. Costaridou, D. Cavouras, I. Kalatzis, E. Panagiotopoulos, G. Panayiotakis. “Osteoarthritis severity of the hip by computer-aided grading of radiographic images”, Medical and Biological Engineering and Computing, Vol. 44, pp. 793-803,2006.
  17. Boniatis I., Costaridou L., Cavouras D., Kalatzis I., Panagiotopoulos E., Panayiotakis G. “Assessing hip osteoarthritis severity utilizing a Probabilistic Neural Network based classification scheme”, Medical Engineering & Physics 29(2), pp. 227-237, 2007.
  18. Ioannis Boniatis, Dionisis Cavouras, Lena Costaridou, Ioannis Kalatzis, Elias Panagiotopoulos, George Panayiotakis, “Computer-aided grading and quantification of hip osteoarthritis severity employing shape descriptors of radiographic hip joint space”, Computers in Biology and Medicine 37:1786 – 1795,2007.
  19. S. Kostopoulos, D. Glotsos, G. Kagadis, A. Daskalakis, P. Spyridonos, I. Kalatzis, M. Karamessini, T. Petsas, D. Cavouras, G. Nikiforidis, “A hybrid pixel-based classification method for blood vessel segmentation and aneurysm detection on CTA”, Computer and Graphics, vol. 31, no. 3,2007.
  20. Pantelis Georgiadis, Dionisis Cavouras, Ioannis Kalatzis, Antonis Daskalakis, George Kagadis, Koralia Sifaki, Menelaos Malamas, George Nikiforidis, and Ekaterini Solomou, “Non-linear Least Squares Features Transformation for Improving the Performance of Probabilistic Neural Networks in Classifying Human Brain Tumors on MRI”, Lecture Notes in Computer Science, Vol. 4707, Part III, pp. 239-247, 2007.
  21. Pantelis Georgiadis, Dionisis Cavouras, Ioannis Kalatzis, Antonis Daskalakis, George Kagadis, Ekaterini Solomou, Koralia Sifaki, Menelaos Malamas, and George Nikiforidis, “Improving brain tumor characterization on MRI by probabilistic neural networks and non-linear transformation of textural features”, Computer Methods & Programs in Biomedicine, Vol. 89 (1), pp. 24-32, 2008.
  22. P. Georgiadis, D. Cavouras, I. Kalatzis, D. Glotsos, E. Athanasiadis, S. Kostopoulos, K. Sifaki, M. Malamas, G. Nikiforidis and E. Solomou, “Enhancing the discrimination accuracy between metastases, gliomas and meningiomas on brain MRI by volumetric textural features and ensemble pattern recognition methods”, Magnetic Resonance Imaging, , Vol. 27(1), pp. 120-130,2009.
  23. Pantelis Theocharakis, Dimitris Glotsos, Ioannis Kalatzis, Spiros Kostopoulos, Pantelis Georgiadis, Koralia Sifaki, Katerina Tsakouridou, Menelaos Malamas, George Delibasis,Dionisis Cavouras, and George Nikiforidis, “Pattern recognition system for the discrimination of multiple sclerosis from cerebral microangiopathy lesions based on texture analysis of Magnetic Resonance images”, Magnetic Resonance Imaging , Vol. 27(3), pp. 417-422, 2009.
  24. Panagiotis Bougioukos, Dimitris Glotsos, Spyridon Kostopoulos, Antonis Daskalakis, Ioannis Kalatzis, Nikos Dimitropoulos, George Nikiforidis, and Dionisis Cavouras, “Fuzzy C-Means driven FHCE contextual segmentation method for mammographic micro-calcifications detection”, The Imaging Science Journal, Vol. 58(3), pp. 146-154, 2010.
  25. Dimitrios Glotsos, Ioannis Kalatzis, Pantelis Theocharakis, Pantelis Georgiadis, Antonis Daskalakis, Kostas Ninos, Pavlos Zoumboulis, Anna Fillipidou, Dionisios Cavouras, “A Multi-Classifier System for the Characterization of Normal, Infectious, and Cancerous Prostate Tissues Employing Transrectal Ultrasound Images”, Computer Methods and Programs in Biomedicine, Vol. 97, pp. 53-61, 2010.
  26. Pantelis Georgiadis, Spiros Kostopoulos, Dionisis Cavouras, Dimitris Glotsos, Ioannis Kalatzis, Koralia Sifaki, Menelaos Malamas, Ekaterini Solomou, George Nikiforidis, “Quantitative combination of volumetric MR imaging and MR spectroscopy data for the discrimination of meningiomas from metastatic brain tumors by means of pattern recognition”, Magnetic Resonance Imaging, pp. 525-35, 2011.
  27. Konstantinos Sidiropoulos, Dimitrios Glotsos, Spiros Kostopoulos, Panagiota Ravazoula, Ioannis Kalatzis, Dionisis Cavouras, and John Stonham, “Real time decision support system for diagnosis of rare cancers, trained in parallel, on a graphics processing unit”, Computers in Biology and Medicine 42(4), pp. 376-386, 2012.
  28. Kostopoulos, S., Sidiropoulos, K., Glotsos, D., Athanasiadis, E., Boutsikou, K., Lavdas, E., Oikonomou, G., Fezoulidis, I.V., Vlychou, M., Hantes, M., Cavouras, D., “Pattern-recognition system, designed on GPU, for discriminating between injured normal and pathological knee cartilage”, Magnetic Resonance Imaging 31 (5), pp. 761-770, 2013.
  29. Sidiropoulos, K.P., Kostopoulos, S.A., Glotsos, D.T., Athanasiadis, E.I., Dimitropoulos, N.D., Stonham, J.T., Cavouras, D.A., “Multimodality GPU-based computer-assisted diagnosis of breast cancer using ultrasound and digital mammography images”, International Journal of Computer Assisted Radiology and Surgery 8 (4), pp. 547-560, 2013.
  30. Boutsikou, K., Kostopoulos, S., Glotsos, D., Cavouras, D., Lavdas, E., Oikonomou, G., Malizos, K., Fezoulidis, I.V., Vlychou, M., “Texture analysis of articular cartilage traumatic changes in the knee calculated from morphological 3.0 T MR imaging”, European Journal of Radiology 82 (8), pp. 1266-1272, 2013.
  31. Solomou, E., Kostopoulos, S., Sidiropoulos, K., Athanasiadis, E., Lavdas, E., Glotsos, D., Sakellaropoulos, G., Zampakis, P., Stonham, J., Cavouras, D., “Designing a pattern recognition system on GPU for discriminating between patients with micro-ischaemic and multiple sclerosis lesions, using MRI images”, International Journal of High Performance Computing Applications 27 (3), pp. 348-359, 2013.

Medical Physics (Radiation Detectors-Image Formation)
Scientific journal papers

  1. I.Kandarakis, D.Cavouras, G.Panayiotakis, T.Agelis, C. Nomicos, and G. Giakoumakis. “X-ray induced luminescence and spatial resolution of La2O2S:Tb phosphor screens”. Phys Med Biol.41:297-307, 1996.
  2. G.Panayiotakis, D.Cavouras, I.Kandarakis, C.Nomicos. “A study of X-ray luminescence and spectral compatibility of europium-activated yttrium-vanadate (YVO4:Eu) screens for medical imaging applications.” Appl. Phys. A 62, 483-486,1996.
  3. D.Cavouras, I. Kandarakis, G. Panayiotakis, E. Evangelou, C. Nomicos. “An evaluation of the Y2O3:Eu3+ scintillator for application in medical X-ray detectors and image receptors. Med Phys 23 (12), 1965-1975, 1996.
  4. Kandarakis, D. Cavouras, G. S.  Panayiotakis, and C. D. Nomicos “Evaluating x-ray detectors for radiographic applications: Comparison of ZnSCdS:Ag with Gd2O2S:Tb and Y2O2S:Tb screens”, Phys. Med. Biol. 42, 1351-1373, 1997.
  5. Kandarakis, D. Cavouras, GS Panayiotakis, D. Triantis, and C.D. Nomicos “An experimental method for the determination of spatial frequency dependent detective quantum efficiency (DQE) of scintillators used in x-ray imaging detectors”, Nucl. Instr. and Meth. in Phys. Res A., 399, 335-342, 1997.
  6. Kandarakis, D. Cavouras, G. Panayiotakis, D. Triantis, and CD Nomicos, “Europium activated phosphors for use in x-ray detectors of medical imaging systems”, Eur. Radiol., 8, 313-318,1997.
  7. D Cavouras, I Kandarakis, G Panayiotakis, E. Kanellopoulos, D. Triantis, and C Nomicos “An investigation of the imaging characteristics of the Y2O2S:Eu phosphor for application in x-ray detectors of digital mammography”. Applied Radiation and Isotopes, 49, 931-937, 1998.
  8. D. Cavouras, I. Kandarakis, G. Panayiotakis,  A. Bakas, D. Triantis, and C. Nomicos. “An experimental method to determine the effective efficiency of scintillator-photodetector combinations used in x-ray medical imaging systems”. British Journal of Radiology (BJR), 71, 766-772, 1998.
  9. I. Kandarakis, D. Cavouras, E. Kanellopoulos, C. D. Nomicos, and G. S. Panayiotakis. “Image quality evaluation of YVO4:Eu phosphor screens for use in x-ray medical imaging detectors”, Radiation Measurements, 29:481-486,1998.
  10. I. Kandarakis, D. Cavouras, E. Kanellopoulos, G.S. Panayiotakis, and C. D. Nomicos. “Experimental determination of detector gain, zero frequency detective quantum efficiency, and spectral compatibility of phosphor screens: comparison of CsI:Na and Gd2O2S:Tb for medical imaging applications”, Nucl. Instr. and Meth. in Phys. Res. A, 417:86-94, 1998.
  11. Cavouras, I. Kandarakis, P. Prassopoulos, E. Kanellopoulos, C. D. Nomicos, and G. S.  Panayiotakis. “Experimental evaluation of noise equivalent passband, information capacity, and informational efficiency of yttrium based europium activated phosphors for use in x-ray imaging detectors”, Physica Medica 14:119-126, 1998.
  12. I. Kandarakis, D. Cavouras, P. Prassopoulos, E. Kanellopoulos, C. D. Nomicos, and G. S.  Panayiotakis.”Evaluating Zn2SiO4:Mn phosphor for use in medical imaging radiation detectors”, Applied Physics A, 67:521-525, 1998.
  13. I. Kandarakis, D. Cavouras, E. Kanellopoulos, C. D. Nomicos, and G. S.  Panayiotakis. “A method for determining the information capacity of x-ray scintillator detectors by means of luminesence and modulation transfer function measurements”, Med Biol Eng & Comput 37:25-30, 1999.
  14. D. Cavouras, I. Kandarakis, P. Prassopoulos, E. Kanellopoulos, C. D. Nomicos, and G. S.  Panayiotakis. “A method to evaluate the performance of x-ray imaging scintillators by means of the brightness-sharpness index (BSI)”, Acta Radiologica, 40: 211-216,1999.
  15. D. Cavouras, I. Kandarakis, P. Prassopoulos, E. Kanellopoulos, C. D. Nomicos, and G. S.  Panayiotakis. “Evaluating phosphors for use in x-ray image detectors by the effective performance index (EPI) method: application to Eu3+ activated yttrium based materials.” Technology and Health Care, 7:53-61, 1999.
  16. I. Kandarakis, D. Cavouras, P. Prassopoulos, E. Kanellopoulos, C. D. Nomicos, and G. S.  Panayiotakis. “Evaluating scintillators used in radiation detectors of medical imaging systems by the effective fidelity index (EFI) method.” European Journal of Radiology, 30:61-66, 1999.
  17. D. Cavouras, I. Kandarakis, M. Kanellopoulos, C. D. Nomicos and G. S.  Panayiotakis, “Signal to Noise Ratio (SNR) of x-ray imaging scintillators determined by luminescence measurements.” Applied Radiation and Isotopes, 51:59-68, 1999.
  18. I.Kandarakis, D. Cavouras, C. D. Nomicos, and G. S. Panayiotakis.”Phosphor material evaluation for use in medical imaging radiation detectors by the Noise Equivalent Quanta (NEQ) method. Applied Physics B Lasers and Optics, 68:1121-1124, 1999.
  19. N.Kalivas, I. Kandarakis, D. Cavouras, L. Costaridou, C.D. Nomicos, G. S. Panayiotakis, “Modeling quantum noise transfer function (QNTF) of phosphors used in medical x-ray imaging detectors” Nucl. Instr. and Meth. in Phys. Res. A, 430:559-569,1999.
  20. I. Kandarakis, D. Cavouras, N. Kalivas, C. D. Nomicos, G. S.  Panayiotakis. “Estimation of the information content of medical images produced by scintillators interacting with diagnostic x-ray beams” Nucl. Instr. and Meth. in Phys. Res. B, 155:199-205, 1999.
  21. N. Kalivas, L. Costaridou, I.Kandarakis, D. Cavouras, C.D. Nomicos, G.S. Panayiotakis “Effect of intrinsic-gain fluctuations on quantum noise of phosphor materials used in medical X-ray imaging” Applied Physics A, 69:337-341, 1999.
  22. D.Cavouras, I. Kandarakis, C. D. Nomicos, A. Bakas, and G. S.  Panayiotakis. “Measurement of the (Gd,La)2O2S:Tb phosphor efficiency for x-ray imaging applications”, Radiation Measurements, 32:5-13, 2000.
  23. D. Cavouras, I. Kandarakis, C. D. Nomicos, G. S.  Panayiotakis, and I. Fezoulidis, “Assessing the information content of phosphor produced medical images: application to Zn2SiO4:Mn phosphor”. Applied Radiation and Isotopes, 52:119-126, 2000.
  24. D. Cavouras, I. Kandarakis, T. Maris, G. S.  Panayiotakis, and C. D. Nomicos, “Assessment of the gain transfer function (GTF) of phosphors for application in medical imaging radiation detectors.” European Journal of Radiology 35:70-77,2000.
  25. D. Cavouras, I.Kandarakis, T. Maris, G.S.Panayiotakis, and C.D.Nomicos “Entropy as a measure of the performance of phosphors used in medical imaging radiation detectors” Applied Physics A, 71:1-6, 2000.
  26. I. Kandarakis and D. Cavouras “Role of the activator in the performance of scintillators used in x-ray imaging.” Applied Radiation and Isotopes, 54:821-831, 2001.
  27. I. Kandarakis and D. Cavouras “Modeling the effect of light generation and light attenuation properties on the performance of phosphors used in medical imaging radiation detectors.” Nuclear Instruments and Methods A in Physics Research, 460:412-423, 2001.
  28. I. Κandarakis and D. Cavouras “Experimental and theoretical assessment of the performance of Gd2O2S: Tb and La2O2S: Τb phosphors and Gd2O2S: Τb – La2O2S: Τb mixtures for X-ray imaging.” European Radiology, 11:1083-1091,2001.
  29. I. Κandarakis, D. Cavouras, C.D.Nomicos and G.S.Panayiotakis “Measurement of the X-ray luminescence and spectral compatibility of the CdPO3CI:Mn phosphor” Radiation Measurements 33:217-224, 2001.
  30. I. Κandarakis, D. Cavouras, G.S.Panayiotakis, and C.D.Nomicos “Experimental investigation of the optical signal, signal-to-noise ratio and information content characteristics of x-ray phosphor screens” Applied Physics B, 72:877-883,2001.
  31. I. Κandarakis, D. Cavouras, C.D.Nomicos and G.S.Panayiotakis “X-ray luminescence of ZnSCdS:Au,Cu using X-ray beams for medical applications” Nuclear Instruments and Methods B, Beam Interactions with Materials and Atoms, 179:215-224, 2001.
  32. D. Cavouras, I. Kandarakis, S. Tsoukos, A. Kateris, C.D. Nomicos, G.S. Panayiotakis “A theoretical model for calculation of the detective quantum efficiency in granular scintillators” Applied Radiation and Isotope 55, 831-842,2001.
  33. Cavouras D., Kandarakis I., Panayiotakis G., Nomicos C.D. Integrated model for estimating phosphor signal and noise transfer characteristics on medical images: application to CdPO3Cl:Mn phosphor screens. Medical and Biological Engineering and Computing. 40(3), 273-277, 2002.
  34. Kalivas N., Costaridou L., Kandarakis I., Cavouras D.,Nomicos C.D., and Panayiotakis G.S., “Modeling quantum and structure noise of phosphors used in medical x-ray imaging detectors” Nuclear Instruments and Methods in Physics Research, A (Accelarators, Spectrometers, Detectors and Associated Equipment), 490: 614-629, 2002.
  35. Kandarakis I., Cavouras D., Ventouras E., Nomicos CD. Theoretical evaluation of granular scintillators quantum gain incorporating the effect of K-fluorescence emission into the energy range from 25 to 100 keV. Radiation Physics and Chemistry, In Press, Corrected Proof, Available online 22 February 2003.
  36. N. Kalivas, L. Costaridou, I. Kandarakis, D. Cavouras, C.D. Nomicos, G. Panayiotakis, Optical gain signal-to-noise ratio transfer efficiency as an index for ranking of phosphor photodetector combinations used in X-ray medical imaging Appl. Phys. A 78, 915–919, 2004.
  37. D. Cavouras, I. Kandarakis, D. Nikolopoulos, I. Kalatzis, G. Kagadis, A. Episkopakis, D. Linardatos, M. Roussou, E. Nirgianaki, D. Margetis, I. Valais, N. Kalivas, I. Sianoudis, K. Kourkoutas, N. Dimitropoulos, A. Louizi, C. Nomicos, and G. Panayiotakis, “Light emission efficiency and imaging performance of Y2Al5O12: Ce (YAG: Ce) powder scintillator under diagnostic radiology conditions”, Applied Physics Β, Vol. 80, pp. 923-933, 2005.
  38. I. Kandarakis, D. Cavouras, I. Sianoudis, D. Nikolopoulos, A. Episkopakis, D. Linardatos, D. Margetis, E. Nirgianaki, M. Roussou, P. Melissaropoulos, N. Kalivas, I. Kalatzis, K. Kourkoutas, N. Dimitropoulos, A. Louisi, K. Nomicos, G. Panayiotakis, “On the response of Y3Al5O12: Ce (YAG: Ce) powder scintillating screens to medical imaging x-rays”, Nuclear Instruments & Methods in Physics Research, Section A, Vol. 538, pp.615-630, 2005.
  39. I. Valais, I. Kandarakis, D. Nikolopoulos, I. Sianoudis, N. Dimitropoulos, D. Cavouras, C. Nomicos, G. Panayiotakis.: Luminescence efficiency of Gd2SiO5: Ce scintillator under x-ray excitation. IEEE Transactions on Nuclear Science. Vol. 52, No 5, pp. 1830-1835, Oct. 2005.
  40. I. Kandarakis, D. Cavouras, D. Nikolopoulos, A. Anastasiou, N. Dimitropoulos , N. Kalivas , E. Ventouras, I. Kalatzis, C. Nomicos, and G. Panayiotakis, “Evaluation of ZnS:Cu phosphor as x-ray to light converter under mammographic conditions”, Radiation Measurements, Vol. 39, pp. 263-275,2005.
  41. D. Nikolopoulos, I. Valais, I. Kandarakis, D. Cavouras, D. Linardatos, I. Sianoudis, A. Louizi, N. Dimitropoulos, D. Vattis, A. Episkopakis et al. Evaluation of the GSO:Ce scintillator in the X-ray energy range from 40 to 140 kV for possible applications in medical X-ray imaging, Nuclear Instruments and Methods in Physics Research, A (Accelarators, Spectrometers, Detectors and Associated Equipment), 560 (2), 577-583, 2006.
  42. I. Kandarakis, D. Cavouras, D. Nikolopoulos, A. Episkopakis, N. Kalivas, P. Liaparinos, I. Valais, G. Kagadis, K. Kourkoutas, I. Sianoudis et al., A theoretical model evaluating the angular distribution of luminescence emission in X-ray scintillating screens, Applied Radiation and Isotopes, 64(4), 508-519, 2006.
  43. D. Nikolopoulos, I. Kandarakis, D. Cavouras, I. Valais, D. Linardatos, C. Michail, S. David, A. Gaitanis, C. Nomicos, A. Louizi, Investigation of radiation absorption and X-ray fluorescence properties of medical imaging scintillators by Monte Carlo methods. Nuclear Instruments and Methods in Physics Research A, 565, 821–832, 2006.
  44. P. Liaparinos, I. Kandarakis, D. Cavouras, H. Delis, G. Panayiotakis, ‘Modeling granular phosphor screens by Monte Carlo methods’, Med. Phys. 33, 4502-4514, 2006.
  45. G. Patatoukas, A. Gaitanis, N. Kalivas, P. Liaparinos, D. Nikolopoulos, A. Konstantinidis, I. Kandarakis, D. Cavouras, and G. Panayiotakis, The effect of energy weighting on the SNR under the influence of non-ideal detectors in mammographic applications, Nuclear Instruments and Methods in Physics Research A, 569, pp. 260–263, 2006.
  46. I. G. Valais, I. S. Kandarakis, D. N. Nikolopoulos, C. M. Michail, S. L. David, G. K. Loudos, D. A. Cavouras and G. S. Panayiotakis, “Luminescence properties of (Lu,Y)2SiO5:Ce and Gd2SiO5:Ce single crystal scintillators under x-ray excitation for use in medical imaging systems”, IEEE Trans. Nucl. Sci., vol.54, no.1, Feb.2007.
  47. Panagiotis F. Liaparinos, Ioannis S. Kandarakis, Dionisis A. Cavouras, Harry B. Delis and George S. Panayiotakis, “Monte Carlo study on the imaging performance of powder Lu2SiO5:Ce phosphor screens under x-ray excitation: Comparison with Gd2O2S:Tb screens”, Medical Physics, Vol. 34, No. 5, May 2007.
  48. N. Kalivas, I. Valais, D. Nikolopoulos, A. Konstantinidis, A. Gaitanis, D. Cavouras, C.D. Nomicos, G. Panayiotakis, and I. Kandarakis, “Light emission efficiency and imaging properties of YAP:Ce granular phosphor screens”, Appl. Phys. A Vol. 89, pp. 443–449, 2007.
  49. A. Samartzis, I. Kalatzis, G. Fountos, D. Cavouras, I. Datseris, E. Kounadi, L. Papaspyrou, I. Kandarakis, G. Nikiforidis, “The use of the modulation transfer function for comparison and image quality asseeement of commercially available hytbrid PET-CT scanners”, Proceeding of the European Congress of Radiology (ECR) 2010, Vienna, Austria, March 4-8, 2010.

Medical Informatics & Statistics – Scientific journal papers

  1. P.Prassopoulos, N.Gourtsoyiannis, D.Cavouras, N.Pantelidis. “A study of the variation of colonic positioning in the pararenal space as shown by computed tomography”. European Journal of Radiology, 10:44-47,1990.
  2. N.Gourtsoyiannis, P.Prassopoulos, D.Cavouras, N.Pantelidis. “The thickness of the renal parenchyma decreases with age: A CT study of 360 patients”. AJR (American Journal  Roentgenology) 155:541, 1990.
  3. P.Prassopoulos, N.Gourtsoyiannis, D. Cavouras, N.Pantelidis. “CT evaluation of compensatory renal growth in relation to post-nephrectomy time.” ACTA RADIOLOGICA 33:152, 1992.
  4. P.Prassopoulos, D.Cavouras, N.Gourtsoyiannis. “Pre- and post-nephrectomy kidney enlargement in patients with contralateral renal cancer”. European Urology 24:58,1993.
  5. P.Prassopoulos and D.Cavouras. “Renal parenchymal thickness in children measured on CT. European Urology 25:51-54, 1994.
  6. P.Prassopoulos and D.Cavouras. “CT assessment of normal splenic size in children”. ACTA RADIOLOGICA 35:152-154,1994.
  7. P.Prassopoulos, N.Gourtsoyiannis, D.Cavouras, N.Pantelidis. “Interposition of the colon between the kidney and the psoas muscle: a normal anatomic variation studied by CT”. Abdominal  Imaging 19:446-448,1994.
  8. P.Prassopoulos and D.Cavouras. “CT evaluation of normal CSF spaces in children: relationship to age, gender and cranial size. European Journal of Radiology 18:22-24, 1994.
  9. P.Prassopoulos, D.Cavouras, S.Golfinopoulos and M.Nezi. “The size of the Intra- and Extra-Ventricular CSF compartments in children with idiopathic benign widening of the frontal  subarachnoid space”.  Neuroradiology 37: 418-421, 1995.
  10. P.Prassopoulos, D.Cavouras, and S.Golfinopoulos. “Developmental changes of the Posterior Fossa in children Evaluated by CT”. Neuroradiology 38:80-83, 1996.
  11. P.Prassopoulos, D.Cavouras, M.Ioannidou, and S.Golfinopoulos. “Study of the subarachnoid spaces in children with idiopathic mental retardation”. Journal of Child Neurology (J. Child. Neurol.) 11 (3):197-200, 1996.
  12. Prassopoulos, D.Cavouras, S.Golfinopoulos, N.Evlogias, V. Theodoropoulos, J.Panagiotou. “Quantitative assessment of cerebral atrophy during and after treatment in children with acute lymphoblastic leukemia.”, Invest. Radiol. 31 (12), 749-754,1996.
  13. P.Prassopoulos, D.Cavouras, N.Evlogias, and S.Golfinopoulos “Brain atrophy in children undergoing systemic chemotherapy for extracranial solid tumors”. Med. Pediatr. Oncol. 28, 228-233,1997.

Cytological and histological image processing – Scientific journal papers

  1. Spyridonos P., Ravazoula P., Cavouras D., Berberidis K., Nikiforidis G.: “Computer-based grading of haematoxylin-eosin stained tissue sections of urinary bladder carcinomas”. Medical Informatics & The Internet in Medicine, 26(3): 179-190, 2001.
  2. Spyridonos P., Cavouras D., Ravazoula P., Nikiforidis G.: “Neural Network-Based Segmentation and Classification System for the Automatic Grading of Histological Sections of Urinary Bladder Carcinoma”.  Analytical and Quantitative Cytology and Histology, 24(6):317-324, 2002.
  3. Spyridonos P., Cavouras D., Ravazoula P., Nikiforidis G.: “A Computer-based diagnostic and prognostic system for assessing urinary bladder tumour grade and predicting cancer recurrence”. Medical Informatics & The Internet in Medicine, 27(2):111-122,2002.
  4. D.K. Tasoulis, P. Spyridonos, N.G. Pavlidis, D. Cavouras, P. Ravazoula, G. Nikiforidis, and M.N. Vrahatis, “Urinary Bladder Tumor Grade Diagnosis Using On-line Trained Neural Networks”, LNAI 2773, pp. 199–206, 2003.
  5. Glotsos D., Spyridonos P., Petalas P., Cavouras D., Ravazoula P.,  Dadioti P., Lekka I., and Nikiforidis G.: “Computer-based malignancy grading of astrocytomas employing a Support Vector Machines Classifier, the WHO grading system, and the regular staining diagnostic procedure Hematoxylin-Eosin”. Analytical and Quantitative Cytology and Histology, 26(2):77-83, 2004.
  6. D. Glotsos, P. Spyridonos, D. Cavouras, I. Ravazoula, S. Dadioti, and G. Nikiforidis, ‘Automatic segmentation of routinely H&E stained microscopic images by combining support vector machine clustering and active contour models’, Analytical and Quantitative Cytology and Histology, Vol. 26:6, pp.331-341,2004.
  7. Glotsos D., Spyridonos P., Cavouras D., Ravazoula P., Dadioti P,  Nikiforidis G. “An image analysis system based on support vector machines for automatic grade diagnosis of brain tumour astrocytomas in clinical routine”. Medical Informatics & The Internet in Medicine 30(3): 179-193, 2005.
  8. D. Glotsos, J. Tohka, P. Ravazoula, D. Cavouras, G. Nikiforidis, “Automated diagnosis of brain tumours astrocytomas using Probabilistic Neural Network clustering and Support Vector Machines”, International Journal of Neural Systems, Vol. 15, Nos. 1&2, pp.1-11, 2005.
  9. P. Spyridonos, P. Petalas, D. Glotsos, D. Cavouras, P. Ravazoula and G. Nikiforidis, “Comparative evaluation of Support Vector Machines and Probabilistic Neural Networks in superficial bladder cancer classification”, Journal of Computational Methods in Sciences and Engineering, Vol. 6, pp. 283-292, 2006.
  10. Spiros Kostopoulos, Dionisis Cavouras, Antonis Daskalakis, Ioannis Kalatzis, Panagiotis Bougioukos, George Kagadis, Panagiota Ravazoula, and George Nikiforidis, “Assessing Estrogen Receptors’ Status by Texture Analysis of Breast Tissue Specimens and Pattern Recognition Methods”, Lecture Notes in Computer Science, Vol. 4673, pp 221-228, 2007.
  11. A. Daskalakis, S. Kostopoulos, P. Spyridonos, D. Glotsos, P. Ravazoula, M. Kardari, I. Kalatzis, D. Cavouras, and G. Nikiforidis, “Design of a multi classifier system for discriminating benign from malignant thyroid nodules using routinely H&E stained cytological images”, Computers in Biology and Medicine, Vol. 38, pp. 196-203, 2008.
  12. D. Glotsos, I. Kalatzis, P. Spyridonos, S. Kostopoulos, A. Daskalakis, P. Ravazoula, G. Nikiforidis, D. Cavouras, “Improving accuracy in astrocytomas grading by integrating a robust least squares mapping driven Support Vector Machine classifier into a two level grade classification scheme”, Computer Methods and Programs in Biomedicine, Vol. 90(3), pp. 251-261, 2008.
  13. Kostopoulos Spiros, Cavouras Dionisis, Daskalakis Antonis, Kagadis C. George, Kalatzis Ioannis, Georgiadis Pantelis, Ravazoula Panagiota, and Nikiforidis George, “Cascade pattern recognition structure for improving quantitative assessment of ER-status in breast tissue carcinomas”, Analytical and Quantitative Cytology and Histology, Vol. 30, pp. 218-225, 2008.
  14. Kostopoulos Spiros, Glotsos Dimitrios, Cavouras Dionisis, Daskalakis Antonis, Kalatzis Ioannis, Georgiadis Pantelis, Bougioukos Panagiotis, Ravazoula Panagiota, and George Nikiforidis, “Computer-Based Association of the Texture of Estrogen Receptor Nuclei with Histological Grade using Ιmmunohistochemically-Stained Breast Carcinomas”, Analytical and Quantitative Cytology and Histology, Vol. 31(4), pp. 187-196,2009.
  15. Loukas, C., Kostopoulos, S., Tanoglidi, A., Glotsos, D., Sfikas, C., Cavouras, D., “Breast cancer characterization based on image classification of tissue sections visualized under low magnification”, Computational and Mathematical Methods in Medicine, art. no. 829461, 2013.

Bioinformatics – Scientific journal papers

  1. A. Daskalakis, D. Cavouras, P. Bougioukos, S. Kostopoulos, D. Glotsos, I. Kalatzis, G. C. Kagadis, C. Argyropoulos, and G. Nikiforidis, ‘Improving gene quantification by adjustable spot-image restoration’, Bioinformatics Advance Access published on June 28,2007, DOI 10.1093 / bioinformatics / btm337.
  2. A. Daskalakis, D. Cavouras, P. Bougioukos, S. Kostopoulos, I. Kalatzis, G. C. Kagadis. and G. Nikiforidis, ‘Development of a Cascade Processing Method for Microarray Spot Segmentation’, Lecture Notes in Computer Science 4477:410-417,2007.
  3. A. Daskalakis, D. Cavouras, P. Bougioukos, S. Kostopoulos, P. Georgiadis, I. Kalatzis, G. Kagadis and G. Nikiforidis, ‘Effective Quantification of Gene Expression Levels in Microarray Images using a Spot-Adaptive Compound Clustering – Enhancement – Segmentation Scheme’, Lecture Notes in Computer Science, 4707:555-565, 2007.
  4. P. Bougioukos, D. Cavouras, A. Daskalakis,I. Kalatzis, G. Nikiforidis, and A. Bezerianos, ‘Biomarker Selection, Employing an Iterative Peak Selection Method, and Prostate Spectra Characterization for Identifying Biomarkers Related to Prostate Cancer’, Lecture Notes in Computer Science, 4707:566-574,2007.
  5. Emmanouil Athanasiadis, Dionisis Cavouras, Panagiota Spyridonos, Ioannis Kalatzis, and George Nikiforidis, “An Automatic Microarray Image Gridding Technique Based on Continuous Wavelet Transform”, Lecture Notes in Computer Science, vol. 4673, pp 864-870, 2007.
  6. P. Bougioukos, D. Cavouras, A. Daskalakis, I. Kalatzis, S. Kostopoulos, P. Georgiadis, G. Nikiforidis, and A. Bezerianos, ‘Biomarker selection system, employing an iterative peak selection method, for identifying biomarkers related to prostate cancer’, Lecture Notes in Computer Science, 4673:197-204,2007.
  7. Emmanouil I. Athanasiadis, Dionisis A. Cavouras, Panagiota P. Spyridonos, Dimitris Th. Glotsos, Ioannis K. Kalatzis, and George C. Nikiforidis, “Complementary DNA microarray image processing based on the Fuzzy Gaussian Mixture Model”. IEEE Transaction on Information Technology in Biomedicine, Vol. 13(4), Pages 419-425,2009.
  8. Emmanouil I. Athanasiadis, Dionisis A. Cavouras, Dimitris Th. Glotsos, Pantelis V. Georgiadis, Ioannis K. Kalatzis, and George C. Nikiforidis, “Segmentation of Complementary DNA Microarray Images by Wavelet-based Markov Random Field Model”, IEEE Transactions on Information Technology in Biomedicine, Vol. 13(6), art. no. 5268205, pp. 1068-1074, 2009.
  9. Glotsos Dimitris, Kostopoulos Spiros, Ninos Kostas,Cavouras Dionisis, “Interpretation of binding kinetics in Fluorescence Recovery After Photobleaching experiments using a novel stochastic simulation strategy”, Molecular Simulation, 35(14), pp. 1209-1214, 2009.
  10. Daskalakis A, Glotsos, D, Kostopoulos S, Cavouras D, Nikiforidis G. “A comparative study of individual and ensemble majority vote cDNA microarray image segmentation schemes, originating from a spot-adjustable based restoration framework”, Computer Methods and Programs in Biomedicine, Volume 95, Issue 1, July2009, Pages 72-88.
  11. Panagiotis Bougioukos, Dimitris Glotsos, Dionisis Cavouras, Antonis Daskalakis, Ioannis Kalatzis, Spiros Kostopoulos, George Nikiforidis and Anastasios Bezerianos, “An intensity-region driven multi-classifier scheme for improving the classification accuracy of proteomic MS-spectra”, Computer Methods and Programs in Biomedicine, Vol. 99, pp. 147–153, 2010.
  12. Emmanouil I Athanasiadis, Dionisis Cavouras, Spyros Kostopoulos, Dimitris Glotsos, Ioannis Kalatzis, George Nikiforidis, “A Wavelet – Based Markov Random Field Segmentation Model in Segmenting Microarray Experiments”, Computer Methods and Programs in Biomedicine, Vol. 104(3), pp. 307-315, 2011.

Telemedicine / Remote monitoring – Scientific journal papers

  1. L. Costaridou, G. Panayiotakis, Ph. Sakelaropoulos, D. Cavourasand J. Dimopoulos.: “Distance Learning in Mammographic Digital Image Processing”. British Journal of Radiology (BJR), 71, 167-174, 1998.
  2. L. Costaridou, G. Panayiotakis, Ph. Sakelalropoulos, D. Cavourasand J. Dimopoulos: “A network-based training enviroment: A medical image processing paradigm”. Medical Informatics, 23:277-287, 1998.
  3. P. Georgiadis, D. Cavouras, K. Sidiropoulos K. Ninos and C. Nomicos, “Remote monitoring of electromagnetic signals and seismic events using smart mobile devices”, Computers & Geosciences, Vol. 35 ( 6 ), pp. 1296-1303,2009.
  4. D. Glotsos, P. Georgiadis, S. Kostopoulos, A. Daskalakis, I. Kalatzis, P. Ravazoula and D. Cavouras, “A pilot study investigating the minimum requirements necessary for grading astrocytomas remotely”, Analytical and Quantitative Cytology and Histology, 31 (5), pp. 262-268,2009.
  5. Konstantinos Ninos, Kostopoulos Spiros, Dimitris Glotsos, Pantelis Georgiadis, Konstantinos Sidiropoulos, Nikolaos Dimitropoulos, Ioannis Kalatzis and Dionisis Cavouras, “Development and evaluation of a PDA-based teleradiology terminal in thyroid nodule diagnosis”, Journal of Telemedicine and Telecare,  Vol. 16(5), pp. 232–236, 2010.

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MEDICAL IMAGE & SIGNAL PROCESSING Lab. Department of Biomedical Engineering – Τ.Ε.Ι. of Athens

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