TY  - GEN
AB  - This book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in Conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. The book includes 16 papers which were carefully reviewed and selected from 28 full-length submissions. The 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track). The papers are categorzied into topical sub-headings on Machine Learning and Clinical Applications.
AU  - Abdulkadir, Ahmed,
AU  - Bathula, Deepti R.,
AU  - Dvornek, Nicha C.,
AU  - Govindarajan, Sindhuja T.,
AU  - Habes, Mohamad,
AU  - Kumar, Vinod,
AU  - Leonardsen, Esten,
AU  - Wolfers, Thomas,
AU  - Xiao, Yiming,
CN  - Q325.5
DO  - 10.1007/978-3-031-44858-4
DO  - doi
ID  - 1482328
KW  - Imagerie pour le diagnostic
KW  - Apprentissage automatique
KW  - Traitement réparti
KW  - Diagnostic imaging
KW  - Machine learning
KW  - Electronic data processing
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44858-4
N1  - International conference proceedings.
N1  - Includes author index.
N2  - This book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in Conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. The book includes 16 papers which were carefully reviewed and selected from 28 full-length submissions. The 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track). The papers are categorzied into topical sub-headings on Machine Learning and Clinical Applications.
SN  - 9783031448584
SN  - 3031448588
T1  - Machine learning in clinical neuroimaging :6th international workshop, MLCN 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings /
TI  - Machine learning in clinical neuroimaging :6th international workshop, MLCN 2023, held in conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, proceedings /
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-44858-4
VL  - 14312
ER  -