ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.
Journal Information
Full Title: IEEE Trans Med Imaging
Abbreviation: IEEE Trans Med Imaging
Country: Unknown
Publisher: Unknown
Language: N/A
Publication Details
Subject Category: Diagnostic Imaging
Available in Europe PMC: Yes
Available in PMC: Yes
PDF Available: No
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"our code is freely available on github https://github com/cherbass/icam ."
"This work was supported in part by the Alzheimer’s Disease Neuroimaging Initiative (ADNI), National Institutes of Health under Grant U01 AG024904 and in part by the Department of Defense (DOD), ADNI, under Award W81XWH-12–2-0012. The work of Cher Bass and Emma C. Robinson was supported by the Academy of Medical Sciences/the British Heart Foundation/the Government Department of Business, Energy and Industrial Strategy/the Wellcome Trust Springboard Award under Grant SBF003/1116. The work of Cher Bass, Stephen M. Smith, and Emma C. Robinson was supported by the Wellcome Collaborative Award under Grant 215573/Z/19/Z. The work of Mariana da Silva was supported by the Engineering and Physical Sciences Research Council (EPSRC) Centre for Doctoral Training in Smart Medical Imaging under Grant EP/S022104/1. The work of Logan Z. J. Williams was supported by the Commonwealth Scholarship Commission, U.K. The work of Petru-Daniel Tudosiu was supported in part by the EPSRC Research Council and in part by the EPSRC Doctoral Training Programme (DTP) under Grant EP/R513064/1."
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Last Updated: Aug 05, 2025