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Research Output 1998 2020

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Conference contribution
2019

Analysis of dynamic brain connectivity through geodesic clustering

Yamin, A., Dayan, M., Squarcina, L., Brambilla, P., Murino, V., Diwadkar, V. & Sona, D., Jan 1 2019, Image Analysis and Processing – ICIAP 2019 - 20th International Conference, Proceedings. Ricci, E., Sebe, N., Rota Bulò, S., Snoek, C., Lanz, O. & Messelodi, S. (eds.). Springer Verlag, p. 640-648 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11752 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Geodesic
Brain
Connectivity
Clustering
Geodesic Distance
2 Citations (Scopus)

Comparison of brain connectomes using geodesic distance on manifold: A twins study

Yamin, A., Dayan, M., Squarcina, L., Brambilla, P., Murino, V., Diwadkar, V. & Sona, D., Apr 1 2019, ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, p. 1797-1800 4 p. 8759407. (Proceedings - International Symposium on Biomedical Imaging; vol. 2019-April).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Connectome
Twin Studies
Monozygotic Twins
Dizygotic Twins
Brain
1 Citation (Scopus)

Investigating the impact of genetic background on brain dynamic functional connectivity through machine learning: A twins study

Yamin, M. A., Dayan, M., Squarcina, L., Diwadkar, V., Brambilla, P., Murino, V. & Sona, D., May 1 2019, 2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 8834475. (2019 IEEE EMBS International Conference on Biomedical and Health Informatics, BHI 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Twin Studies
Learning systems
Brain
Magnetic Resonance Imaging
Dizygotic Twins
2017

Learning from enhanced contextual similarity in brain imaging data for classification of schizophrenia

Dagnew, T. M., Squarcina, L., Rivolta, M. W., Brambilla, P. & Sassi, R., Jan 1 2017, Image Analysis and Processing - ICIAP 2017 - 19th International Conference, Proceedings. Springer Verlag, Vol. 10484 LNCS. p. 265-275 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10484 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Magnetic Resonance Imaging
Brain
Magnetic resonance
Imaging
Imaging techniques
2015
2 Citations (Scopus)

Learning with heterogeneous data for longitudinal studies

Squarcina, L., Perlini, C., Bellani, M., Lasalvia, A., Ruggeri, M., Brambilla, P. & Castellani, U., 2015, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9351. p. 535-542 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9351).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Longitudinal Study
Pathology
Brain
Health
Covariates
2014
1 Citation (Scopus)

Mapping brains on grids of features for schizophrenia analysis

Perina, A., Peruzzo, D., Kesa, M., Jojic, N., Murino, V., Bellani, M., Brambilla, P. & Castellani, U., 2014, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Springer Verlag, Vol. 8674 LNCS. p. 805-812 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8674 LNCS, no. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain mapping
Brain
Grid
Visualization
Magnetic resonance imaging
2012
1 Citation (Scopus)

A localized MKL method for brain classification with known intra-class variability

Ulaş, A., Gönen, M., Castellani, U., Murino, V., Bellani, M., Tansella, M. & Brambilla, P., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7588 LNCS. p. 152-159 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7588 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
kernel
Linear Algorithm
Pattern Classification
Biomarkers
2 Citations (Scopus)

Biomarker evaluation by multiple kernel learning for schizophrenia detection

Ulaş, A., Castellani, U., Murino, V., Bellani, M., Tansella, M. & Brambilla, P., 2012, Proceedings - 2012 2nd International Workshop on Pattern Recognition in NeuroImaging, PRNI 2012. p. 89-92 4 p. 6295935

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Biomarkers
Brain
Magnetic resonance
Support vector machines
Classifiers
2011

Heat diffusion based dissimilarity analysis for schizophrenia classification

Ulaş, A., Castellani, U., Murino, V., Bellani, M., Tansella, M. & Brambilla, P., 2011, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7036 LNBI. p. 306-317 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7036 LNBI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Heat Diffusion
Dissimilarity
Dissimilarity Measure
Subspace Methods
Shape Analysis
2 Citations (Scopus)

Multimodal schizophrenia detection by multiclassification analysis

Ulaş, A., Castellani, U., Mirtuono, P., Bicego, M., Murino, V., Cerruti, S., Bellani, M., Atzori, M., Rambaldelli, G., Tansella, M. & Brambilla, P., 2011, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 7042 LNCS. p. 491-498 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7042 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Modality
Brain
Classifiers
Region of Interest
Magnetic Resonance Imaging
2010
17 Citations (Scopus)

Brain morphometry by probabilistic latent semantic analysis

Castellani, U., Perina, A., Murino, V., Bellani, M., Rambaldelli, G., Tansella, M. & Brambilla, P., 2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Springer Verlag, Vol. 6362 LNCS. p. 177-184 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6362 LNCS, no. PART 2).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Morphometry
Latent Semantic Analysis
Brain
Semantics
Shape Descriptor
8 Citations (Scopus)

Dissimilarity-based detection of schizophrenia

Ulaş, A., Duin, R. P. W., Castellani, U., Loog, M., Bicego, M., Murino, V., Bellani, M., Cerruti, S., Tansella, M. & Brambilla, P., 2010, Proceedings - Workshop on Brain Decoding: Pattern Recognition Challenges in Neuroimaging, WBD 2010 - In Conjunction with theInternational Conference on Pattern Recognition, ICPR 2010. p. 32-35 4 p. 5581412

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Schizophrenia
Magnetic resonance
Brain
Magnetic Resonance Spectroscopy
Learning
2009
1 Citation (Scopus)

Local kernel for brains classification in schizophrenia

Castellani, U., Rossato, E., Murino, V., Bellani, M., Rambaldelli, G., Tansella, M. & Brambilla, P., 2009, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 5883 LNAI. p. 112-121 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5883 LNAI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Brain
Voxel
kernel
Invariance
Support vector machines