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ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.

C. Bass, M. da Silva, C. Sudre, L. Williams, H. Sousa, P. Tudosiu, F. Alfaro-Almagro, S. Fitzgibbon, M. Glasser, S. Smith, and E. Robinson. IEEE Trans. Medical Imaging, 42 (4): 959-970 (April 2023)

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Kerstin da Silva

Rodrigo Corrêa da Silva

Adriano João Da Silva

Carolina Ferraz da Silva

Antonio Da Silva Mello

Other publications of authors with the same name

Biomechanical modelling of brain atrophy through deep learning.M. da Silva, K. Garcia, C. Sudre, C. Bass, M. Cardoso, and E. Robinson. CoRR, (2020)ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.C. Bass, M. da Silva, C. Sudre, L. Williams, H. Sousa, P. Tudosiu, F. Alfaro-Almagro, S. Fitzgibbon, M. Glasser, S. Smith and 1 other author(s). IEEE Trans. Medical Imaging, 42 (4): 959-970 (April 2023)Distinguishing Healthy Ageing from Dementia: A Biomechanical Simulation of Brain Atrophy Using Deep Networks.M. da Silva, C. Sudre, K. Garcia, C. Bass, M. Cardoso, and E. Robinson. MLCN@MICCAI, volume 13001 of Lecture Notes in Computer Science, page 13-22. Springer, (2021)ICAM: Interpretable Classification via Disentangled Representations and Feature Attribution Mapping.C. Bass, M. da Silva, C. Sudre, P. Tudosiu, S. Smith, and E. Robinson. NeurIPS, (2020)Applications of interpretable deep learning in neuroimaging: a comprehensive review.L. Munroe, M. da Silva, F. Heidari, I. Grigorescu, S. Dahan, E. Robinson, M. Deprez, and P. So. CoRR, (2024)Game Design, Creativity and e-Learning: The Challenges of Beginner Level Immersive Language Learning Games.T. e Silva, R. Pacheco, M. da Silva Lima, M. Sarmet, M. de Carvalho Cascelli de Azevedo, V. Ferreira, and C. Castanho. HCI (29), volume 12790 of Lecture Notes in Computer Science, page 256-275. Springer, (2021)Supervised Training of a Simple Digital Assistant for a Free Crop Clinic.M. da Silva Barros, I. de Moura Philippini, L. Silva, A. da Silva Netto, R. Blawid, E. da Silva Barros, and S. Blawid. BRACIS (2), volume 13074 of Lecture Notes in Computer Science, page 162-176. Springer, (2021)Working with robotic process automation: User experience after 18 months of adoption.L. Filgueiras, P. Corrêa, S. Alves-Souza, S. Teodoro, M. da Silva, R. Quille, and V. de Souza Demuner. Frontiers Comput. Sci., (2022)Assessing the relationship between trait and state levels of mind wandering during a tracing task.M. da Silva, Ó. Gonçalves, and M. Postma. CogSci, cognitivesciencesociety.org, (2020)Wandering mice: Computer mouse-tracking as a behavioral measure of mind wandering.M. da Silva, and M. Postma. CogSci, cognitivesciencesociety.org, (2018)

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Disambiguation of "da Silva, Mariana"

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ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.

Please choose a person to relate this publication to

Kerstin da Silva

Rodrigo Corrêa da Silva

Adriano João Da Silva

Carolina Ferraz da Silva

Antonio Da Silva Mello

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "da Silva, Mariana"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.

Please choose a person to relate this publication to

Kerstin da Silva

Rodrigo Corrêa da Silva

Adriano João Da Silva

Carolina Ferraz da Silva

Antonio Da Silva Mello

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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Chicago
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ICAM-Reg: Interpretable Classification and Regression With Feature Attribution for Mapping Neurological Phenotypes in Individual Scans.