{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T21:22:06Z","timestamp":1770844926110,"version":"3.50.1"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T00:00:00Z","timestamp":1761091200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T00:00:00Z","timestamp":1761091200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,10,22]]},"DOI":"10.1109\/metroxraine66377.2025.11340461","type":"proceedings-article","created":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T20:55:09Z","timestamp":1769201709000},"page":"699-704","source":"Crossref","is-referenced-by-count":0,"title":["Can Anatomical Information Guide the Performance of Convolutional Neural Networks for Classifying Neurodegenerative Diseases Using Brain MRI?"],"prefix":"10.1109","author":[{"given":"Giulia Maria","family":"Mattia","sequence":"first","affiliation":[{"name":"Univ Toulouse, Inserm, ToNIC,Toulouse,France"}]},{"given":"Noura","family":"Osman","sequence":"additional","affiliation":[{"name":"Univ Toulouse, Inserm, ToNIC,Toulouse,France"}]},{"given":"Lydia","family":"Chougar","sequence":"additional","affiliation":[{"name":"Sorbonne Universit&#x00E9;,Paris Brain Institute,ICM AP-HP, CNRS 7225, Inserm 1127, H&#x00F4;pital de la Piti&#x00E9; Salp&#x00EA;tri&#x00E8;re,Department of Neuroradiology,Paris,France"}]},{"given":"Pierre","family":"Todeschini","sequence":"additional","affiliation":[{"name":"Univ Toulouse, Inserm, ToNIC,Toulouse,France"}]},{"given":"Wassilios G.","family":"Meissner","sequence":"additional","affiliation":[{"name":"Service de Neurologie des Maladies Neurod&#x00E9;g&#x00E9;n&#x00E9;ratives, IMNc,CHU Bordeaux,Bordeaux,France"}]},{"given":"Margherita","family":"Fabbri","sequence":"additional","affiliation":[{"name":"Univ. Hospital Toulouse CIC-1436, NeuroToul COEN Center,NS-Park\/FCRIN Network,Univ Toulouse,Inserm, ToNIC MSA French Reference Center,Toulouse,France"}]},{"given":"Olivier","family":"Rascol","sequence":"additional","affiliation":[{"name":"Univ. Hospital Toulouse CIC-1436, NeuroToul COEN Center,NS-Park\/FCRIN Network,Univ Toulouse,Inserm, ToNIC MSA French Reference Center,Toulouse,France"}]},{"given":"David","family":"Grabli","sequence":"additional","affiliation":[{"name":"The Neuro - Montreal Neurological Institute McGill University,Montreal,Canada"}]},{"given":"Bertrand","family":"Degos","sequence":"additional","affiliation":[{"name":"H&#x00F4;pitaux Universitaires de Paris Seine-Saint-Denis Sorbonne Paris Nord, NS-PARK\/FCRIN Network,Assistance Publique H&#x00F4;pitaux de Paris,Service de Neurologie H&#x00F4;pital Avicenne,Bobigny,France"}]},{"given":"Marie","family":"Vidailhet","sequence":"additional","affiliation":[{"name":"The Neuro - Montreal Neurological Institute McGill University,Montreal,Canada"}]},{"given":"Alice","family":"Faucher","sequence":"additional","affiliation":[{"name":"H&#x00F4;pitaux Universitaires de Paris Seine-Saint-Denis Sorbonne Paris Nord, NS-PARK\/FCRIN Network,Assistance Publique H&#x00F4;pitaux de Paris,Service de Neurologie H&#x00F4;pital Avicenne,Bobigny,France"}]},{"given":"Jean-Christophe","family":"Corvol","sequence":"additional","affiliation":[{"name":"The Neuro - Montreal Neurological Institute McGill University,Montreal,Canada"}]},{"given":"St\u00e9phane","family":"Leh\u00e9ricy","sequence":"additional","affiliation":[{"name":"Sorbonne Universit&#x00E9;,Paris Brain Institute,ICM AP-HP, CNRS 7225, Inserm 1127, H&#x00F4;pital de la Piti&#x00E9; Salp&#x00EA;tri&#x00E8;re,Department of Neuroradiology,Paris,France"}]},{"given":"Patrice","family":"P\u00e9ran","sequence":"additional","affiliation":[{"name":"Univ Toulouse, Inserm, ToNIC,Toulouse,France"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/9781394245369.ch11"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3464423"},{"key":"ref3","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuroimage.2020.117026"},{"key":"ref5","author":"Xu","year":"2020","journal-title":"A novel global spatial attention mechanism in convolutional neural network for medical image classification"},{"key":"ref6","author":"Hu","year":"2019","journal-title":"Squeeze-and-excitation networks"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"111594","DOI":"10.1016\/j.measurement.2022.111594","article-title":"Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application","volume":"199","author":"Lv","year":"2022","journal-title":"Measurement"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2020.00665"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2962792"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.26399"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"105846","DOI":"10.1016\/j.ijmedinf.2025.105846","article-title":"Explainability and uncertainty: Two sides of the same coin for enhancing the interpretability of deep learning models in healthcare","volume":"197","author":"Salvi","year":"2025","journal-title":"International Journal of Medical Informatics"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1002\/mds.29005"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1002\/mds.28348"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3934\/mbe.2021091"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1097\/WCO.0000000000000957"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"102897","DOI":"10.1016\/j.artmed.2024.102897","article-title":"Investigating the discrimination ability of 3d convolutional neural networks applied to altered brain mri parametric maps","volume":"153","author":"Mattia","year":"2024","journal-title":"Artificial Intelligence in Medicine"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1002\/mds.29760"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1002\/mds.26471"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awac253"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/mds.27307"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1002\/mds.30300"},{"key":"ref22","journal-title":"Spm12 software - statistical parametric mapping"},{"key":"ref23","article-title":"Matlab","journal-title":"Natick, Massachusetts, United States"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1002\/hbm.10123"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1007\/s12028-022-01525-z","article-title":"Multimodal mri-based whole-brain assessment in patients in anoxoischemic coma by using 3d convolutional neural networks","volume":"37","author":"Mattia","year":"2022","journal-title":"Neurocritical Care"},{"key":"ref26","first-page":"448","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","volume-title":"32nd International Conference on Machine Learning, ICML 2015","volume":"1","author":"Ioffe","year":"2015"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/S2589-7500(19)30105-0"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s12311-022-01472-7"},{"key":"ref29","doi-asserted-by":"crossref","DOI":"10.1001\/jamaneurol.2025.0112","article-title":"Automated imaging differentiation for parkinsonism","author":"Vaillancourt","year":"2025","journal-title":"JAMA Neurology"},{"key":"ref30","author":"Coup\u00e9","year":"2025","journal-title":"Lifespan tree of brain anatomy: diagnostic values for motor and cognitive neurodegenerative diseases"}],"event":{"name":"2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)","location":"Ancona, Italy","start":{"date-parts":[[2025,10,22]]},"end":{"date-parts":[[2025,10,24]]}},"container-title":["2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11339978\/11339918\/11340461.pdf?arnumber=11340461","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:49:32Z","timestamp":1770842972000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11340461\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,22]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/metroxraine66377.2025.11340461","relation":{},"subject":[],"published":{"date-parts":[[2025,10,22]]}}}