Refereed Papers in Journals

Gonella, G.; Binaghi, E.; Nocera, P.; Mordacchini, C. Investigating the Behaviour of Machine Learning Techniques to Segment Brain Metastases in Radiation Therapy Planning. Appl. Sci. 2019, 9, 3335.
Alberto Arturo Vergani, Samuele Martinelli & Elisabetta Binaghi (2019) Resting state fMRI analysis using unsupervised learning algorithms, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, DOI: 10.1080/21681163.2019.1636413, 2019.
E. Binaghi, A. Vergani, A. Montalbetti, R. Minotto, S. Strocchi, V. Pedoia, S. Balbi. Computation and Management of Weighted Activation Vectors in Support to fMRI Analysis of Clinical Subjects. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualisation, 2018. DOI: 10.1080/21681163.2018.1501767
E. Binaghi, V. Pedoia, S. Balbi. Meningioma and peritumoral edema segmentation of preoperative MRI brain scans, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, DOI:10.1080/21681163.2016.1250108, 2016.
E. Binaghi, V. Pedoia, S. Balbi. Collection and fuzzy estimation of truth labels in glial tumour segmentation studies. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualisation, 2:1-15, 2014.
V. Pedoia; S. Strocchi; V. Colli; E. Binaghi; L. Conte. Functional Magnetic Resonance Imaging: comparison between activation maps and computation pipelines in a clinical context. Magnetic Resonance Imaging, 31: 555-566, 2013.
E. Binaghi; V. Pedoia; A. Guidali; M. Guglielmin. Snow cover thickness estimation using radial basis function networks. The Cryosphere, 7(3):841-854, 2013.
M. Vanetti, E. Binaghi, E. Ferrari, B. Carminati, M. Carullo. A System to Filter Unwanted Messages from OSN User Walls. IEEE Trans. On Knowledge and Data Engineering, 25(2):285-297, 2013.
V. Pedoia, E. Binaghi. Automatic MRI 2D Brain Segmentation using Graph SearchingTechnique. International Journal for Numerical Methods in Biomedical Engineering, 29 (9):887-904, 2012.
M. Carullo, E. Binaghi, I. Gallo, An online document clustering technique for short web contents. Pattern Recognition Letters, 30(10):870-876, 2009.
I.Gallo, E. Binaghi, M .Raspanti. Semi-blind image restoration using a local neural approach. Neurocomputing, 73:389-396, 2009
I. Gallo, E. Binaghi, M .Raspanti. Neural Disparity Computation for Dense Two-Frame Stereo Correspondence. Pattern Recognition Letters, 29:673-687, 2008.
E. Binaghi, I. Gallo, C. Ghiselli, L. Levrini, K. Biondi, An integrated fuzzy logic and web-based framework for active protocol support. International Journal of Medical Informatics, 77(4):256-271, 2008.
Manelli, S. Sangiorgi., E. Binaghi, M. Raspanti. 3D analysis of SEM images of corrosion casting using adaptive stereo matching. Microscopy Research and Technique, 70:350-354, 2007.
Macchi, C. Mangano, M. Inversini, A. Norcini, E. Binaghi. Scaffold individualizzati (custom made) nella rigenerazione ossea dei mascellari. Implantologia Orale, 4:7-15, 2006.
M. Raspanti, E. Binaghi, I. Gallo, A. Manelli. A vision-based, 3D reconstruction technique for scanning electron microscopy: Direct comparison with Atomic Force Microscopy. Microscopy Research and Technique, 67:1-7, 2005.
E.Binaghi, M. Boschetti, P.A. Brivio, I.Gallo, F. Pergalani, A. Rampini. Prediction of Displacements in Unstable Areas Using a Neural Model. Natural Hazard, 32(1):135-154, 2004.
Binaghi E., Gallo I., Marino G, Raspanti M., Neural adaptive stereo matching. Pattern Recognition Letters, vol. 25, p. 1743-1758, 2004.
K. Tansey, J. Gregoire, E. Binaghi, L. Boschetti, P. Brivio, D. Ershov, S. Flasse, R. Fraser, D. Graetz, M. Maggi, P. Peduzzi, J. Pereira, J. Silva, A. Sousa, D. Stroppiana. A Global Inventory of Burned Areas at 1 Km Resolution for the Year 2000 Derived from Spot Vegetation Data. Climate Change, 67:345-377, 2004.
K. Tansey, J. Gregoire, D. Stroppiana, A. Sousa, J. Silva, J. Pereira, L. Boschetti, M. Maggi, P. Brivio, R. Fraser, S. Flasse, D. Ershov, E. Binaghi, D. Graetz, P. Peduzzi. Vegetation burning in the year 2000: Global burned area estimates from SPOT VEGETATION data. Journal of Geophysical Research Atmospheres. Journal of Geophysical Research Athmospheres, 109: D14S03-D14S03, 2004.
E. Binaghi, I. Gallo, M. Pepe, A Cognitive Pyramid for Contextual Classification of Remote Sensing Images, IEEE Trans. On Geoscience and Remote Sensing, 41:12, 2906-2922, 2003.
E. Binaghi, I. Gallo, M. Pepe. A neural adaptive model for feature extraction and recognition in high resolution remote sensing imagery. International Journal of Remote Sensing, 24:3947-3959, 2003.
A. Belward; E. Binaghi; P.A. Brivio; G.A. Lanzarone, G. Tosi. Preface to the Special Issue on GeoSpatial Knowledge Processing for Natural Resource Management. International Journal of Remote Sensing, 24:3885-3886, 2003.
P.A. Brivio, M. Maggi, E. Binaghi, I. Gallo. Mapping burned surfaces in sub-Saharan Africa based on multi-temporal neural classification. International Journal of Remote Sensing, 24:4003-4018, 2003.
A. Baraldi, E. Binaghi, P. Blonda, P.A. Brivio, A. Rampini. Comparison of the Multi-layer Perceptron with Neuro-Fuzzy Techniques in the Estimation of Cover Class Mixture in Remotely Sensed Data, IEEE Trans. on Geoscience and Remote Sensing, 39 (5):994-1004, 2001.
E. Binaghi, I. Gallo, P. Madella. A Neural Model for Fuzzy Dempster-Shafer Classifiers, Int. Journal of Approximate Reasoning, 25:89-121, 2000.
E. Binaghi, P. Madella. Fuzzy Dempster-Shafer Reasoning for Rule-Based Classifiers. Int. Journal of Intelligent Systems, 14:559-583, 1999.
E. Binaghi, R. Rabagliati, A. Rampini. Glacial Retreat in the 1980s in the Breonie, Aurine and Pusteresi Groups (Eastern Alps, Italy) in Landsat TM images. Journal of Hydrology, 44:279-295, 1999.
E. Binaghi, P.A. Brivio, P. Ghezzi, A. Rampini, E. Zilioli. Investigating the Behaviour of Neural and Fuzzy-Statistical Classifiers in Sub-Pixel Land Cover Estimation. Canadian Journal of Remote Sensing, 25: 171-188, 1999.
E. Binaghi, P.A. Brivio, P. Ghezzi, A. Rampini. A Fuzzy Set-Based Accuracy Assessment of Soft Classifications. Pattern Recognition Letters, 20:935-948,1999.
E. Binaghi, P.A. Brivio, A. Rampini, P. Ghezzi, M. Vicenzi. Classificazione dei pixel misti mediante un modello neuro-fuzzy. Rivista Italiana di telerilevamento, 41-50, 1999.
E. Binaghi;L. Luzi;P. Madella;F. Pergalani;A. Rampini Slope Instability Zonation: a Comparison Between Certainty Factor and Fuzzy Dempster–Shafer Approaches. Natural Hazard ,17: 77-97, 1998.
E. Binaghi, P. Madella, M.G. Montesano, A. Rampini. Fuzzy contextual classification of multisource remote sensing images. IEEE Trans. On Geosci and Remote Sensing, 35:326-340, 1997.
E. Binaghi, P.A. Brivio, A. Rampini, R. Showengerdt, Editorial of the Special Issue Non conventional Pattern Analysis in Remote Sensing, Pattern Recognition Letters, 17(13):1323-1324, 1996.
E., Binaghi, P.A. Brivio, P. Ghezzi, A. Rampini, E. Zilioli. A hybrid approach to fuzzy land cover mapping, Pattern Recognition Letter, 17(13): 1399-1410, 1996.
E. Binaghi, I. Gagliardi, R. Schettini. Image retrieval using fuzzy evaluation of color similarity. Int. Journal of Pattern Recognition and Artificial Intelligence, 8(4):945-968, 1994.
E. Binaghi, A. Rampini. Fuzzy Decision-Making in the Classification of Multisource Remote Sensing Data. Optical Engeneering, 32:1193-1204, 1993.
E. Binaghi;O. D. Giorgi;G. Maggi;T. Motta;A. Rampini. Computer-Assisted Diagnosis of Postmenopausal Osteoporosis Using a Fuzzy Expert System Shell. Computer and Biomedical Research, 26:498-516, 1993.
E. Binaghi, A. Della Ventura, A. Rampini, R. Schettini. Fuzzy reasoning approach to similarity evaluation in image analysis, International Journal of Intelligent Systems, 8(7):749-69, 1993.
E. Binaghi. Fuzzy logic inference model for a rule-based system in medical diagnosis. Int. Journal of Expert Systems, 7:134-141. 1990.
E. Binaghi, G. Sechi, R. Vaccaro, L. Verdoscia. HCRC-Parallel computer: A massively parallel combined architecture supercomputer. Microprocessing and Micoprogramming, 25:287-292, 1989.
E. Binaghi,L. Lisca, A. Proserpio, G. R. Sechi. An abstract description generator for the reliability analysis in the design of real time systems. Microprocessing and Micoprogramming, 23:157-165, 1988.