 | 2008 |
|---|
| 7 |       | Elpiniki Papageorgiou,
Panagiota Spyridonos,
Dimitris Glotsos,
Chrysostomos D. Stylios,
Panagiota Ravazoula,
George Nikiforidis,
Peter P. Groumpos:
Brain tumor characterization using the soft computing technique of fuzzy cognitive maps.
Appl. Soft Comput. 8(1): 820-828 (2008) |
| 6 |  | Dimitris Glotsos,
Ioannis Kalatzis,
Panagiota Spyridonos,
Spiros Kostopoulos,
Antonis Daskalakis,
Emmanouil Athanasiadis,
Panagiota Ravazoula,
George Nikiforidis,
Dionisis 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 90(3): 251-261 (2008) |
| 2007 |
|---|
| 5 | | Antonis Daskalakis,
Dionisis Cavouras,
Panagiotis Bougioukos,
Spiros Kostopoulos,
Dimitris Glotsos,
Ioannis Kalatzis,
George C. Kagadis,
Christos Argyropoulos,
George Nikiforidis:
Improving gene quantification by adjustable spot-image restoration.
Bioinformatics 23(17): 2265-2272 (2007) |
| 4 | | Spiros Kostopoulos,
Dimitris Glotsos,
George C. Kagadis,
Antonis Daskalakis,
Panagiota Spyridonos,
Ioannis Kalatzis,
M. Karamessini,
T. Petsas,
Dionisis Cavouras,
George Nikiforidis:
A hybrid pixel-based classification method for blood vessel segmentation and aneurysm detection on CTA.
Computers & Graphics 31(3): 493-500 (2007) |
| 2006 |
|---|
| 3 | | Dimitris Glotsos,
Jussi Tohka,
J. Soukka,
J. T. Soini,
Ulla Ruotsalainen:
Robust Estimation of Bioaffinity Assay Fluorescence Signals.
IEEE Transactions on Information Technology in Biomedicine 10(4): 733-739 (2006) |
| 2005 |
|---|
| 2 | | Dimitris Glotsos,
Jussi Tohka,
Panagiota Ravazoula,
Dionisis Cavouras,
George Nikiforidis:
Automated diagnosis of brain tumours astrocytomas using probabilistic neural network clustering and support vector machines.
Int. J. Neural Syst. 15(1-2): 1-11 (2005) |
| 2004 |
|---|
| 1 | | Dimitris Glotsos,
Panagiota Spyridonos,
Panagiota Ravazoula,
Dionisis Cavouras,
George Nikiforidis:
Automated Diagnosis of Brain Tumours Using a Novel Density Estimation Method for Image Segmentation and Independent Component Analysis Combined with Support Vector Machines for Image Classification.
ICONIP 2004: 1058-1063 |
