| Mammogram segmentation by contour searching and mass lesions classification with neural network D Cascio, F Fauci, R Magro, G Raso, R Bellotti, F De Carlo, S Tangaro, ... IEEE Transactions on Nuclear Science 53 (5), 2827-2833, 2006 | 195 | 2006 |
| Automatic detection of lung nodules in CT datasets based on stable 3D mass–spring models D Cascio, R Magro, F Fauci, M Iacomi, G Raso Computers in biology and medicine 42 (11), 1098-1109, 2012 | 182 | 2012 |
| A completely automated CAD system for mass detection in a large mammographic database R Bellotti, F De Carlo, S Tangaro, G Gargano, G Maggipinto, M Castellano, ... Medical physics 33 (8), 3066-3075, 2006 | 151 | 2006 |
| A CAD system for nodule detection in low‐dose lung CTs based on region growing and a new active contour model R Bellotti, F De Carlo, G Gargano, S Tangaro, D Cascio, E Catanzariti, ... Medical Physics 34 (12), 4901-4910, 2007 | 139 | 2007 |
| Fuzzy technique for microcalcifications clustering in digital mammograms L Vivona, D Cascio, F Fauci, G Raso BMC medical imaging 14, 1-18, 2014 | 49 | 2014 |
| MAGIC-5: an Italian mammographic database of digitised images for research MAGIC-5: un database mammografico italiano di immagini digitalizzate per scopi di ricerca S Tangaro, R Bellotti, F De Carlo, G Gargano, E Lattanzio, P Monno, ... Radiol med 113, 477-485, 2008 | 35 | 2008 |
| A multi-process system for HEp-2 cells classification based on SVM D Cascio, V Taormina, M Cipolla, S Bruno, F Fauci, G Raso Pattern Recognition Letters 82, 56-63, 2016 | 33 | 2016 |
| Computer-assisted classification patterns in autoimmune diagnostics: the AIDA project A Benammar Elgaaied, D Cascio, S Bruno, MC Ciaccio, M Cipolla, ... BioMed research international 2016, 2016 | 31 | 2016 |
| Room-temperature X-ray response of cadmium–zinc–telluride pixel detectors grown by the vertical Bridgman technique L Abbene, F Principato, G Gerardi, A Buttacavoli, D Cascio, M Bettelli, ... Journal of Synchrotron Radiation 27 (2), 319-328, 2020 | 26 | 2020 |
| Deep convolutional neural network for HEp-2 fluorescence intensity classification D Cascio, V Taormina, G Raso Applied Sciences 9 (3), 408, 2019 | 25 | 2019 |
| HEp-2 Cell Classification with Heterogeneous Classes-Processes Based on K-Nearest Neighbours Cascio D, Taormina V, Cipolla M, Fauci F, Vasile S.M., Raso G. 1st Workshop on Pattern Recognition Techniques for Indirect …, 2014 | 25* | 2014 |
| Mammographic images segmentation based on chaotic map clustering algorithm M Iacomi, D Cascio, F Fauci, G Raso BMC Medical Imaging 14, 1-11, 2014 | 24 | 2014 |
| Comparative study of feature classification methods for mass lesion recognition in digitized mammograms GL Masala, S Tangaro, B Golosio, P Oliva, S Stumbo, R Bellotti, FD Carlo, ... Il Nuovo cimento della Società italiana di fisica. C 30 (4), 305, 2007 | 24 | 2007 |
| Classifiers trained on dissimilarity representation of medical pattern: a comparative study GL Masala, B Golosio, P Oliva, D Cascio, F Fauci, S Tangaro, M Quarta, ... Nuovo Cimento-Societa Italiana di Fisica Sezione C 28 (6), 905, 2005 | 24 | 2005 |
| Deep CNN for IIF images classification in autoimmune diagnostics D Cascio, V Taormina, G Raso Applied Sciences 9 (8), 1618, 2019 | 23 | 2019 |
| Computer-assisted diagnosis (CAD) in mammography: comparison of diagnostic accuracy of a new algorithm (Cyclopus, Medicad) with two commercial systems S Ciatto, D Cascio, F Fauci, R Magro, G Raso, R Ienzi, F Martinelli, ... Radiol Med 114, 626-635, 2009 | 22 | 2009 |
| Performance of fine-tuning convolutional neural networks for HEP-2 image classification V Taormina, D Cascio, L Abbene, G Raso Applied Sciences 10 (19), 6940, 2020 | 21 | 2020 |
| Massive lesions classification using features based on morphological lesion differences U Bottigli, D Cascio, F Fauci, B Golosio, R Magro, GL Masala, P Oliva, ... Proceedings of World Academy of Science, Engineering and Technology 12, 20-24, 2006 | 21 | 2006 |
| Computer-aided diagnosis in digital mammography: comparison of two commercial systems D Cascio, F Fauci, M Iacomi, G Raso, R Magro, D Castrogiovanni, ... Imaging in Medicine 6 (1), 13-20, 2014 | 20 | 2014 |
| An automatic HEp-2 specimen analysis system based on an active contours model and an SVM classification D Cascio, V Taormina, G Raso Applied Sciences 9 (2), 307, 2019 | 17 | 2019 |
Giuseppe RasoProfessore Ordinario di Fisica Applicata, Università di PalermoVerified email at unipa.it
