The PERSON project: a serious brain-computer interface game for treatment in cognitive impairment
Alfonso Monaco, Gianluca Sforza, Nicola Amoroso, Marica Antonacci, Roberto Bellotti, Marina de Tommaso, Pierpaolo Di Bitonto, Eugenio Di Sciascio, Domenico Diacono, Eleonora Gentile, Anna Montemurno, Michele Ruta, Antonio Ulloa, Sabina Tangaro
Health and Technology (2018): 1-11. doi:10.1007/s12553-018-0258-y
Alzheimer’s disease diagnosis based on the Hippocampal Unified Multi-Atlas Network (HUMAN) algorithm
Nicola Amoroso, Marianna La Rocca, Roberto Bellotti, Annarita Fanizzi, Alfonso Monaco, Sabina Tangaro
Biomedical engineering online 17.1 (2018): 6.
Complex networks reveal early MRI markers of Parkinson’s disease
Nicola Amoroso, Marianna La Rocca, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Medical image analysis 48 (2018): 12-24.
A novel approach to brain connectivity reveals early structural changes in Alzheimer’s disease
Marianna La Rocca, Nicola Amoroso, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro
Physiological Measurement 39.7 (2018): 074005.
Communicability disruption in Alzheimer’s disease connectivity networks
Eufemia Lella, Nicola Amoroso, Angela Lombardi, Tommaso Maggipinto, Sabina Tangaro, Roberto Bellotti
Journal of Complex Networks (2018). doi:10.1093/comnet/cny009
Deep learning reveals Alzheimer’s disease onset in MCI subjects: Results from an international challenge
Nicola Amoroso, Domenico Diacono, Annarita Fanizzi, Marianna La Rocca, Alfonso Monaco, Angela Lombardi, Cataldo Guaragnella, Roberto Bellotti, Sabina Tangaro
Journal of neuroscience methods 302 (2018): 3-9. doi:10.1016/j.jneumeth.2017.12.011
A Gradient-Based Approach for Breast DCE-MRI Analysis
L Losurdo, TMA Basile, A Fanizzi, R Bellotti, U Bottigli, R Carbonara, R Dentamaro, D Diacono, V Didonna, A Lombardi, F Giotta, C Guaragnella, A Mangia, R Massafra, P Tamborra, S Tangaro, D La Forgia
BioMed Research International 2018 (2018). doi:10.1155/2018/9032408
A Novel Synchronization-Based Approach for Functional Connectivity Analysis
Angela Lombardi, Sabina Tangaro, Roberto Bellotti, Alessandro Bertolino, Giuseppe Blasi, Giulio Pergola, Paolo Taurisano, Cataldo Guaragnella
Complexity 2017 (2017). doi:10.1155/2017/7190758
Multivariate regression analysis of structural MRI connectivity matrices in Alzheimer’s disease
Javier Rasero, Nicola Amoroso, Marianna La Rocca, Sabina Tangaro, Roberto Bellotti, Sebastiano Stramaglia
PloS one 12.11 (2017): e0187281. doi:10.1371/journal.pone.0187281
A fuzzy-based system reveals Alzheimer’s Disease onset in subjects with Mild Cognitive Impairment
Sabina Tangaro, Annarita Fanizzi, Nicola Amoroso, Roberto Bellotti
Physica Medica 38 (2017): 36-44. doi:10.1016/j.ejmp.2017.04.027
Topological Measurements of DWI Tractography for Alzheimer’s Disease Detection
Nicola Amoroso, Alfonso Monaco and Sabina Tangaro.
Computational and Mathematical Methods in Medicine, vol. 2017, Article ID 5271627, 10 pages, 2017. doi:10.1155/2017/5271627
DTI measurements for Alzheimer’s disease classification
Maggipinto T, Bellotti R, Amoroso N, Diacono D, Donvito G, Lella E, Monaco A, Antonella Scelsi M, Tangaro S.
PHYSICS IN MEDICINE AND BIOLOGY, 62.6 (2017): 2361
https://www.ncbi.nlm.nih.gov/pubmed/28234631
Hybrid X-space: A new approach for MPI reconstruction
Tateo A., Iurino A., Settanni G., Andrisani A., Stifanelli P. F., Larizza P., Mazzia F., Mininni R., Tangaro S., Bellotti R
Physics in Medicine and Biology, 19(2) pp 4061-4077.
Crowdsourced estimation of cognitive decline and resilience in Alzheimer’s disease.
Genevera I Allen, Nicola Amoroso, Catalina Anghel, Venkat Balagurusamy, Christopher J Bare, Derek Beaton, Roberto Bellotti, David A Bennett, Kevin Boehme, Laura Caberlotto, Cristian Caloian, Frederick Campbell, Yu-Chuan Chang, Beibei Chen, Chien-Yu Chen, Ting-Ying Chien, Tim Clark, Sudeshna Das, Christos Davatzikos, Jieyao Deng, Donna Dillenberger, Richard JB Dobson, Qilin Dong, Jimit Doshi, Denise Duma, Rosangela Errico, Guray Erus, Evan Everett, David W Fardo, Stephen H Friend, Holger Fröhlich, Jessica Gan, Peter St George-Hyslop, Satrajit S Ghosh, Enrico Glaab, Robert C Green, Yuanfang Guan, Ming-Yi Hong, Chao Huang, Jinseub Hwang, Joseph Ibrahim, Paolo Inglese, Qijia Jiang, Yuriko Katsumata, John SK Kauwe, Arno Klein, Dehan Kong, Roland Krause, Emilie Lalonde, Mario Lauria, Eunjee Lee, Xihui Lin, Zhandong Liu, Julie Livingstone, Benjamin A Logsdon, Simon Lovestone, Anandhi Lyappan, Michelle Ma, Ashutosh Malhotra, Lara M Mangravite, Taylor J Maxwell, Emily Merrill, John Nagorski, Aishwarya Namasivayam, Manjari Narayan, Mufassra Naz, Elias Chaibub Neto, Stephen J Newhouse20, Thea C Norman6, Ramil N Nurtdinov, Yen-Jen Oyang, Boutros C Paul, Yudi Pawitan, Shengwen Peng, Mette A Peters, Stephen R Piccolo, Paurush Praveen, Corrado Priami, Veronica Y Sabelnykova, Philipp Senger, Xia Shen, Andrew Simmons, Aristeidis Sotiras, Gustavo Stolovitzky, TANGARO S, Andrea Tateo, Yi-An Tung, Nicholas J Tustison, Erdem Varol, George Vradenburg, Michael W Weiner, Guanghua Xiao, Lei Xie, Yang Xie, Jia Xu, Hojin Yang, Xiaowei Zhan, Yunyun Zhou, Fan Zhu, Hongtu Zhu, Shanfeng Zhu, Alzheimer’s Disease Neuroimaging Initiative
ALZHEIMER’S & DEMENTIA, ISSN: 1552-5260 (in press)
http://www.sciencedirect.com/science/article/pii/S1552526016000819
Computer Aided Detection System for prediction of the malaise during hemodialysis.
S. Tangaro, A. Fanizzi, N. Amoroso, R. Corciulo, E. Garuccio, L. Gesualdo, G. Loizzo, D. A. Procaccini, L. Vernò, R. Bellotti
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, (2016), 8748156,
Hippocampal Unified Multi-Atlas Network (HUMAN): protocol and scale validation of a novel segmentation tool.
N. Amoroso, R. Errico, S. Bruno, A. Chincarini, E. Garuccio, F. Sensi, S. Tangaro, A. Tateo, R. Bellotti for the Alzheimers Disease Neuroimaging Initiative
Physics in Medicine and Biology, vol. 60, p. 8851-8867, ISSN: 0031-9155
http://www.ncbi.nlm.nih.gov/pubmed/26531765
Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer’s disease
A. Chincarini, F. Sensi, L. Rei, G. Gemme, S. Squarcia, R. Longo, F. Brun, S. Tangaro, R. Bellotti, N. Amoroso, M. Bocchetta, A. Redolfi, P. Bosco, M. Boccardi, G. Frisoni, F. Nobili
NEUROIMAGE, 125, pp. 834-847, ISSN: 1053-8119.
Multiple RF classifier for the hippocampus segmentation: method and validation on EADC-ADNI Harmonized Hippocampal Protocol.
Paolo Inglese, Dr.; Sabina Tangaro; Nicola Amoroso, Dr.; M. Boccardi; M. Bocchetta; Stefania Bruno; Andrea Chincarini; Rosangela Errico; G. B. Frisoni; R. Maglietta; A. Redolfi; F. Sensi; A.
Tateo; Roberto Bellotti
Physica Medica: European Journal of Medical Physics, 31 (8), pp. 1085-1091, ISSN: 1724-191X.
Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm.
R. Maglietta, N. Amoroso, M. Boccardi, S. Bruno, A. Chincarini, G. B. Frisoni, P. Inglese, A.Redofi, S. Tangaro, A. Tateo, R. Bellotti.
PATTERN ANALYSIS AND APPLICATIONS, 19 (2), pp. 579-591, ISSN: 1433-7541.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4828512/
Feature Selection based on Machine Learning in MRIs for Hippocampal Segmentation.
S. Tangaro, N. Amoroso, M. Brescia, S. Cavuoti, A. Chincarini, R. Errico, P. Inglese, G. Longo, R. Maglietta, A. Tateo, G. Riccio and R. Bellotti.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2015, 814104, ISSN: 1748-670X.
http://dx.doi.org/10.1155/2015/814104
Standardized evaluation of methods for computer-aided diagnosis of dementia based on structural MRI: the CADDementia challenge.
E. E. Bron, , M. Smits, W. M. van der Flier, H. Vrenken, F. Barkhof, P. Scheltens, J. M. Papma, R. M.E. Steketee, C. Mendez Orellana, R. Meijboom, M. Pinto, J. R. Meireles, C. Garrett, A. J. Bastos-Leite, A. Abdulkadir, O. Ronneberger, N. Amoroso, R. Bellotti, D Cardenas-Pena, Andres M. Alvarez-Mezao, Chester V. Dolphp, Khan M. Iftekharuddinp, Simon F. Eskildsenq, Pierrick Coup´er, Vladimir S. Fonovs, Katja Franket, C. Gasert, Christian Ledigu, R. Guerrero, T. Tong, K. R. Gray, E. Moradi, .J. Tohka, A. Routier, S. Durrleman, x, A. Sarica, G. di Fatta, A. Chincarini, L. Rei, G. M. Smith, Z. V. Stoyanov, L. Sørensen, M. Nielsen, TANGARO S, Paolo Inglese, C. Wachinger, M. Reuter, J. C. van Swieten, W. J. Niessen, S. Klein.
NEUROIMAGE, vol. 111, p. 562-579, ISSN: 1053-8119
Selection based on Machine Learning in MRIs for Hippocampal Segmentation.
Tangaro S, Nicola Amoroso, Massimo Brescia, Stefano Cavuoti, Andrea Chincarini, Rosangela Errico, Paolo Inglese, Giuseppe Longo, Rosalia Maglietta, Andrea Tateo, Giuseppe Riccio and R. Bellotti. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, ISSN: 1748-670X, doi: 10.1155/2015/814104
Automated voxel-by-voxel tissue classification for hippocampal segmentation: Methods and Validation.
Tangaro S, Amoroso N., M. Boccardi, S. Bruno, A. Chincarini, G. Ferraro, G. B. Frisoni, R. Maglietta, A. Redolfi, L. Rei, A. Tateo, R. Bellotti.
Physica Medica: European Journal of Medical Physics, vol. 30, pp. 878–887, 2014
Post-detection analysis for grating-based ultra-small angle X-ray scattering.
F. Scattarella, S.Tangaro, P. Modregger, M. Stampanoni, L. De Caro, and R. Bellotti.
Physica Medica: European Journal of Medical Physics, Volume 29, Issue 5 , Pages 478-486 , September 2013
Neurodegeneration markers from structural MRI and FDG-PET brain images: the Alzheimer’s disease case study.
Chincarini A., Bosco P., Gemme G., Morbelli S., Arnaldi D., Sensi F., Solano I., Amoroso N., TANGARO S, Longo R., Squarcia S., and Nobili F. (2012).
THE EUROPEAN PHYSICAL JOURNAL PLUS, vol. 127, p. 127-135, ISSN: 2190-5444
Imaging the Ultrasmall-Angle X-Ray Scattering Distribution with Grating Interferometry.
Modregger P., Scattarella F., Pinzer B.R., David C., Bellotti R., Stampanoni M. (2012).
PHYSICAL REVIEW LETTERS, vol. 108, ISSN: 0031-9007, doi: 10.1103/PhysRevLett.108.048101
“Automatic Lung Segmentation in CT Images with Accurate Handling of the Hilar Region.”
De Nunzio G., Tommasi E., Agrusti A., Cataldo R., De Mitri I., Favetta M., Maglio S., Massafra A., Quarta M., Torsello M., Zecca I., bellotti R., Tangaro S., Calvini P., Camarlinghi N., Falaschi F., Cerello P., Oliva P.,
JOURNAL OF DIGITAL IMAGING, vol. Vol 24, No 1 (February), 2011, p. 11-27, ISSN: 0897-1889
Deconvolution by finite-size-source effects of x-ray phase-contrast images.
L. De Caro, F. Scattarella, Tangaro S, D. Pelliccia, C. Giannini, U. Bottigli, R. Bellotti (2011).
MEDICAL PHYSICS, vol. 38, ISSN: 0094-2405
Phase-retrieval for X-ray in-line phase-contrast imaging.
F. Scattarella, Tangaro S, C. Giannini, G. Gargano and R. Bellotti (2011).
NUOVO CIMENTO DELLA SOCIETÀ ITALIANA DI FISICA. C, GEOPHYSICS AND SPACE PHYSICS, vol. 34 C, p. 25-35, ISSN: 1826-9885
Combination of computer-aided detection algorithms for automatic lung nodule identification.
Camarlinghi N. et al., (2011).
INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, ISSN: 1861-6410
Comparing and combining algorithms for computer-aided detection of pulmonary nodules in computed tomography scans: The ANODE09 study.
Bram Van Gineken, Samuel G. Armato III, Bartijan De Hoop, Saskia Van Amelsvoort-Van De Vorst, Thomas Duindam, Meindert Niemeijer, Keelin Murphy, Arnold Schilham, Alessandra Retico, Maria Evelina Fantacci, Niccolo` Camarlinghi, Francesco Bagagli, Ilaria Gori, Takeshi Hara, Hiroshi Fujita, Gianfranco Gargano, Roberto Bellotti, Sabina Tangaro, Loudes Bolanosk, Francesco De Carlo, Piergiorgio Cerello, Sorin Cristian Cheran, Ernesto Lopez Torres and Mathias Prokop (in stampa).
MEDICAL IMAGE ANALYSIS, ISSN: 1361-8415
Combined mixed approach algorithm for in-line phase contrast x-ray imaging.
L. De Caro, F. Scattarella, C. Giannini, S. Tangaro, L. Rigon, R. Longo, R. Bellotti.
MEDICAL PHYSICS, vol. 37 (7), pp. 3817-3827 (2010) ISSN: 0094-2405
A theoretical study on phase-contrast mammography with Thomson-scattering X-ray sources.
L. De Caro, C. Giannini, R. Bellotti, S. Tangaro, (2009).
MEDICAL PHYSICS, vol. 36 (10); p. 4644-4653, ISSN: 0094-2405
“ Pleural nodule identification in low-dose and thin- slice lung computed tomography”
A. Retico, M.E. Fantacci, I. Gori, P. Kasae, B. Golosio, A. Piccioli, P. Cerello, G. De Nunizio, S. Tangaro,
Computers in Biology and Medicine 39 (12):(2009) 1137- 1144.
“Automatic Lung Segmentation in CT Images with Accurate Handling of the Hilar Region.”
De Nunzio G., Tommasi E., Agrusti A., Cataldo R., De Mitri I., Favetta M., Maglio S., Massafra A., Quarta M., Torsello M., Zecca I., bellotti R., Tangaro S., Calvini P., Camarlinghi N., Falaschi F., Cerello P., Oliva P.,
J Digit Imaging, 2009 Oct 14.
“ MAGIC-5: An Italian mammographic database of digitized images for research”
Tangaro S., R. Bellotti, F. De Carlo, G. Gargano, Lattanzio E., Monno P., Massafra R., P. Delogu, M.E. Fantacci, A. Retico, M. Bazzocchi, S. Bagnasco, P. Cerello, S.C. Cheran, C. Fulcheri, E. Lopez Torres, E. Zanon, A. Lauria, A. Sodano, D. Cascio, F. Fauci, R. Magro, G. Raso, R. Ienzi, U. Bottigli, G. L. Masala, P. Oliva, Meloni, A.P. Caricato, R.Cataldo,
La Radologia Medica Vol.113 – N.4, June 2008.
“ 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, P. Cerello, S. C. Cheran, P. Delogu, I. De Mitri, C. Fulcheri, D. Grosso, A. Retico, S. Squarcia, E. Tommasi, B. Golosio,
Medical Physics 34 (12) December 2007 pp. 4901-4910.
“Comparative Study of Feature classification Methods for Mass Lesion Recognition in Digitized Mammograms”
G.L. Masala, S. Tangaro, B. Golosio, P. Oliva, S. Stumbo, R. Bellotti, F. De Carlo, G. Gargano, D. Cascio, F. Fauci, R. Magro, G. Raso, U. Bottigli, A. Chincarini, I. De Mitri, G. De Nunzio, I. Gori, A. Retico, P. Cerello, S.C. Cheran, C. Fulcheri, E. Lopez Torres,
Il Nuovo Cimento C, volume.30 C – N 3 pp. 305-316, 2007.
“Mass lesion detection in mammographic images using Haralik textural features”
S. Tangaro, F. De Carlo, G. Gargano, R. Bellotti, U. Bottigli, G.L. Masala, P. Cerello, S. Cheran, R. Cataldo, M. Quarta, E. Catanzariti,
International Journal for Computational Vision and Biomechanics, Volume 1, 2007
“Direct analysis of Molybdenum target generated X-ray spectra with a portable device and example of quantitative evaluation of imaging properties of a mammographic system”
S. Tangaro,
Notiziario ANPEQ, 2007
“Dissimilarity Application in Digitized Mammographic Images Classification”
U. Bottigli, B. Golosio, G.L. Masala, P. Oliva, S. Stumbo,D. Cascio, F. Fauci, R.Magro, G. Raso, M. Vasile,R. Bellotti, F. De Carlo, S.Tangaro, I. De Mitri, G. De Nunzio, M. Quarta, A. Preite Martinez , A. Tata, P. Cerello, S.C.Cheran, E. Lopez Torres
Journal of Systemics, Cybernetics and Informatics ,Volume 4 – N 3, pp: 18-22, ISSN: 1690-4524, 2006
“ Distributed Medical Images Analysis on a Grid Infrastructure”
R. Bellotti, P. Cerello, V. Bevilacqua, M. Castellano, G. Mastronardi, S. Tangaro, F. De Carlo, S. Bagnasco, U. Bottigli, R. Cataldo, E. Catanzariti, S. C. Cheran, P. Delogu, I. De Mitri, G. De Nunzio, M. E. Fantacci, F. Fauci, G. Gargano, B. Golosio, P. L. Indovina, A. Lauria, E. Lopez Torres, R. Magro, G. L. Masala, R. Massafra, P. Oliva, A. Preite Martinez, M. Quarta, G. Raso, A. Retico, M. Sitta, S. Stumbo, A. Tata, S. Squarcia, A Schenone, E. Molinari, B.Canesi
Future Generation Computer System, Special Issue on Life Science Grids for Biomedicine and Bioinformatics, Vol. 23/3, 2006, pp. 475-484
“A completely automated CAD system for mass detection in a large mammographic database”
Bellotti R., De Carlo F., Gargano G., Maggipinto G., Tangaro S., Castellano M., Massafra R., Cascio D., Fauci F., Magro R., Raso G., Lauria A., Forni G., Bagnasco S., Cerello P.,Cheran S.C., Lopez Torres E., Bottigli U., Masala G.L., Oliva P., Retico A., Fantacci M.E., Cataldo R., De Mitri I., De Nunzio G.
Medical Physics, Vol. 33, No. 8, Aug 2006, pp. 3066-3075
“Mammogram segmentation by contour searching and massive lesions classification with Neural Network”
S. Bagnasco, R. Bellotti, D. Cascio, S.C. Cheran, G. De Nunzio, M.E. Fantacci, F. Fauci, G. Forni, A. Lauria, E. Lopez Torres, R. Magro, G.L. Masala, P. Oliva, M. Quarta, G. Raso, A. Retico, S. Tangaro,
IEEE-Transactions on Nuclear Science (TNS) Vol. 53, No. 4 (August 2006)
“Classifiers trained on dissimilarity representation of medical pattern: a comparative study”
G. Masala S. Tangaro, M. Quarta, S. C Cheran, E. L. Torres,
Il Nuovo Cimento C, Volume 028 Issue 06 pp 905-912
“Artificial Life Models in Lung CTs”
Marcello Castellano, Roberto Bellotti, Piergiorgio Cerello, Sorin Cristian Cheran, Gianfranco Gargano, Ernesto Lopez Torres, Sabina Tangaro
Int. Trans. on Computer Science and Eng., Vol 27, N. 1, January 2006, pp 159-167
“GPCALMA: a GRID based tool for mammographic screening”
S. Bagnasco, U. Bottigli, P. Cerello, S. Cheran, P. Delogu, M.E. Fantacci, F. Fauci, G. Forni, A. Lauria, E. Lopez Torres, R. Magro, G.L. Masala, P. Oliva, R. Palmiero, L. Ramello, G. Raso, A. Retico, M. Sitta, S. Stumbo, S. Tangaro, E. Zanon,
Methods of Information in Medicine, n. 2, pp.244-248, 2005
“A massive lesion detection algorithm in mammography”
F. Fauci, G. Raso, R. Magro, G. Forni, A. Lauria, S. Bagnasco, P. Cerello, S.C. Cheran, E. Lopez Torres, R. Bellotti, F. De Carlo, G. Gargano, S. Tangaro, I. De Mitri, G. De Nunzio, R. Cataldo
Physica Medica, Vol. XXI, N. 1, January-March, pp. 21-28, 2005.
“Direct analysis of Molibdenum target generated X-ray spectra with a portable device “
U. Bottigli, B. Golosio, , P. Oliva , S. Stumbo, S. Tangaro,
Medical Phisics 31, 2763 (2004)
”The CALMA system: an artificial neural network method for detecting masses and microcalcifications in digitised mammograms”
R. Palmiero, A. Lauria, G. Forni, B. Golosio, F. Fauci, R. Magro, G. Raso, S. Tangaro, A. Stefanini, P.L. Indovina.
NIM A Vol 518/1-2 pp 391-393
“Fluxen portable equipment for direct x-ray measurements”,
S. Aiello, U. Bottigli, B. Golosio, D. Lo Presti, G.L. Masala, P. Oliva , S. Stumbo, S. Tangaro,
NIM A Vol 518/1-2 pp 389-390
“The CALMA project”
S.R. Amendolia et al.
Nucl Instr Meth A, Vol.461 (2001), pp 428-9
