Dr Michele Svanera

  • Lecturer (Centre for Cognitive Neuroimaging)

email: Michele.Svanera@glasgow.ac.uk

62 Hillhead Street, Glasgow, Room 624, G12 8QB

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-7828-9209

Research interests

At the core of my research interests there is a question: Will we ever be able to replicate (a part of) the brain? I do not have an answer, only more questions. How does the human vision work? Can current Artificial Intelligence models explain brain activity? Can we create an artificial network that mimics some brain functions? How can we advance brain imaging methods? Wandering across Cognitive Neuroscience and Artificial Intelligence (specifically Deep Learning), I address the goal of understanding human vision conducting behavioural, f/MRI, and computational modelling studies. For more insights on my research, please visit the research page (https://www.michelesvanera.org/research/).

Publications

List by: Type | Date

Jump to: 2024 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015
Number of items: 12.

2024

Svanera, M. , Savardi, M., Signoroni, A., Benini, S. and Muckli, L. (2024) Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data. Medical Image Analysis, 93, 103090. (doi: 10.1016/j.media.2024.103090) (PMID:38241763)

2021

Svanera, M. , Benini, S., Bontempi, D. and Muckli, L. (2021) CEREBRUM-7T: fast and fully volumetric brain segmentation of 7 Tesla MR volumes. Human Brain Mapping, 42(17), pp. 5563-5580. (doi: 10.1002/hbm.25636) (PMID:34598307)

Svanera, M. , Morgan, A. T., Petro, L. S. and Muckli, L. (2021) A self-supervised deep neural network for image completion resembles early visual cortex fMRI activity patterns for occluded scenes. Journal of Vision, 21(7), 5. (doi: 10.1167/jov.21.7.5) (PMID:34259828)

2020

Bontempi, D., Benini, S., Signoroni, A., Svanera, M. and Muckli, L. (2020) CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI. Medical Image Analysis, 62, 101688. (doi: 10.1016/j.media.2020.101688) (PMID:32272345)

2019

Svanera, M. , Savardi, M., Benini, S., Signoroni, A., Raz, G., Hendler, T., Muckli, L. , Goebel, R. and Valente, G. (2019) Transfer learning of deep neural network representations for fMRI decoding. Journal of Neuroscience Methods, 328, 108319. (doi: 10.1016/j.jneumeth.2019.108319) (PMID:31585315)

Svanera, M. , Savardi, M., Signoroni, A., Kovács, A. B. and Benini, S. (2019) Who is the director of this movie? Automatic style recognition based on shot features. IEEE MultiMedia, 26(4), pp. 43-54. (doi: 10.1109/mmul.2019.2940004)

2018

Muhammad, U. R., Svanera, M. , Leonardi, R. and Benini, S. (2018) Hair detection, segmentation, and hairstyle classification in the wild. Image and Vision Computing, 71, pp. 25-37. (doi: 10.1016/j.imavis.2018.02.001)

2017

Raz, G. et al. (2017) Robust inter-subject audiovisual decoding in functional magnetic resonance imaging using high-dimensional regression. NeuroImage, 163, pp. 244-263. (doi: 10.1016/j.neuroimage.2017.09.032) (PMID:28939433)

2016

Benini, S., Svanera, M. , Adami, N., Leonardi, R. and Kovács, A. B. (2016) Shot scale distribution in art films. Multimedia Tools and Applications, 75(23), pp. 16499-16527. (doi: 10.1007/s11042-016-3339-9)

Gordiychuk, A., Svanera, M. , Benini, S. and Poesio, P. (2016) Size distribution and Sauter mean diameter of micro bubbles for a Venturi type bubble generator. Experimental Thermal and Fluid Science, 70, pp. 51-60. (doi: 10.1016/j.expthermflusci.2015.08.014)

Svanera, M. , Muhammad, U. R., Leonardi, R. and Benini, S. (2016) Figaro, Hair Detection and Segmentation in the Wild. In: 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 25-28 Sep 2016, pp. 933-937. ISBN 9781467399616 (doi: 10.1109/ICIP.2016.7532494)

2015

Svanera, M. , Benini, S., Adami, N., Leonardi, R. and Kovács, A.B. (2015) Over-the-Shoulder Shot Detection in Art Films. In: 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI), Prague, Czech Republic, 10-12 Jun 2015, ISBN 9781467368704 (doi: 10.1109/CBMI.2015.7153627)

This list was generated on Wed Apr 24 10:52:55 2024 BST.
Jump to: Articles | Conference Proceedings
Number of items: 12.

Articles

Svanera, M. , Savardi, M., Signoroni, A., Benini, S. and Muckli, L. (2024) Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data. Medical Image Analysis, 93, 103090. (doi: 10.1016/j.media.2024.103090) (PMID:38241763)

Svanera, M. , Benini, S., Bontempi, D. and Muckli, L. (2021) CEREBRUM-7T: fast and fully volumetric brain segmentation of 7 Tesla MR volumes. Human Brain Mapping, 42(17), pp. 5563-5580. (doi: 10.1002/hbm.25636) (PMID:34598307)

Svanera, M. , Morgan, A. T., Petro, L. S. and Muckli, L. (2021) A self-supervised deep neural network for image completion resembles early visual cortex fMRI activity patterns for occluded scenes. Journal of Vision, 21(7), 5. (doi: 10.1167/jov.21.7.5) (PMID:34259828)

Bontempi, D., Benini, S., Signoroni, A., Svanera, M. and Muckli, L. (2020) CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI. Medical Image Analysis, 62, 101688. (doi: 10.1016/j.media.2020.101688) (PMID:32272345)

Svanera, M. , Savardi, M., Benini, S., Signoroni, A., Raz, G., Hendler, T., Muckli, L. , Goebel, R. and Valente, G. (2019) Transfer learning of deep neural network representations for fMRI decoding. Journal of Neuroscience Methods, 328, 108319. (doi: 10.1016/j.jneumeth.2019.108319) (PMID:31585315)

Svanera, M. , Savardi, M., Signoroni, A., Kovács, A. B. and Benini, S. (2019) Who is the director of this movie? Automatic style recognition based on shot features. IEEE MultiMedia, 26(4), pp. 43-54. (doi: 10.1109/mmul.2019.2940004)

Muhammad, U. R., Svanera, M. , Leonardi, R. and Benini, S. (2018) Hair detection, segmentation, and hairstyle classification in the wild. Image and Vision Computing, 71, pp. 25-37. (doi: 10.1016/j.imavis.2018.02.001)

Raz, G. et al. (2017) Robust inter-subject audiovisual decoding in functional magnetic resonance imaging using high-dimensional regression. NeuroImage, 163, pp. 244-263. (doi: 10.1016/j.neuroimage.2017.09.032) (PMID:28939433)

Benini, S., Svanera, M. , Adami, N., Leonardi, R. and Kovács, A. B. (2016) Shot scale distribution in art films. Multimedia Tools and Applications, 75(23), pp. 16499-16527. (doi: 10.1007/s11042-016-3339-9)

Gordiychuk, A., Svanera, M. , Benini, S. and Poesio, P. (2016) Size distribution and Sauter mean diameter of micro bubbles for a Venturi type bubble generator. Experimental Thermal and Fluid Science, 70, pp. 51-60. (doi: 10.1016/j.expthermflusci.2015.08.014)

Conference Proceedings

Svanera, M. , Muhammad, U. R., Leonardi, R. and Benini, S. (2016) Figaro, Hair Detection and Segmentation in the Wild. In: 2016 IEEE International Conference on Image Processing (ICIP), Phoenix, AZ, USA, 25-28 Sep 2016, pp. 933-937. ISBN 9781467399616 (doi: 10.1109/ICIP.2016.7532494)

Svanera, M. , Benini, S., Adami, N., Leonardi, R. and Kovács, A.B. (2015) Over-the-Shoulder Shot Detection in Art Films. In: 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI), Prague, Czech Republic, 10-12 Jun 2015, ISBN 9781467368704 (doi: 10.1109/CBMI.2015.7153627)

This list was generated on Wed Apr 24 10:52:55 2024 BST.

Supervision

Supervised Postgraduate Students

  • Austin Dibble (Postgraduate)
  • Andreas Drakopoulos (Postgraduate)
  • Roberto Scott Luciani (Postgraduate)
  • Samuele Ponzin (Visiting Postgraduate)

Supervisor


Dr Michele Svanera