Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Niamh Belton"'
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::217c7b03b45072780d7f1049eb678bc7
https://doi.org/10.1109/icassp49357.2023.10096505
https://doi.org/10.1109/icassp49357.2023.10096505
Publikováno v:
Callanan, James, Garcia-Cabrera, Carles ORCID: 0000-0001-8139-9647 , Belton, Niamh ORCID: 0000-0003-4949-4745 , Roshchupkin, Gennady and Curran, Kathleen ORCID: 0000-0003-0095-9337 (2022) Integrating feature attribution methods into the loss function of deep learning classifiers. In: 24th Irish Machine Vision and Image Processing Conference, 31 Aug-2 Sept 2022, Belfast. ISBN 978-0-9934207-7-1
Feature attribution methods are typically used post-training to judge if a deep learning classifier is using meaningful concepts in an input image when making classifications. In this study, we propose using feature attribution methods to give a clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4057bf1d601d18d4a9aa60f8fcfc23ea
http://doras.dcu.ie/27762/
http://doras.dcu.ie/27762/
Autor:
Niamh Belton, Aonghus Lawlor, Misgina Tsighe Hagos, Ivan Welaratne, Kathleen M. Curran, Adil Dahlan, Ronan T. Hearne
Publikováno v:
Medical Image Understanding and Analysis ISBN: 9783030804312
This work employs a pre-trained, multi-view Convolutional Neural Network (CNN) with a spatial attention block to optimise knee injury detection. An open-source Magnetic Resonance Imaging (MRI) data set with image-level labels was leveraged for this a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::870f1c90a470d524684d7cb5a2d1744a
https://doi.org/10.1007/978-3-030-80432-9_6
https://doi.org/10.1007/978-3-030-80432-9_6
Autor:
Kelly, Brendan S., Quinn, Conor, Belton, Niamh, Lawlor, Aonghus, Killeen, Ronan P., Burrell, James
Publikováno v:
European Radiology; Dec2023, Vol. 33 Issue 12, p8833-8841, 9p
Autor:
Max Bramer, Frederic Stahl
This book constitutes the refereed proceedings of the 43rd SGAI International Conference on Artificial Intelligence, AI 2023, held in Cambridge, UK, during December 12–14, 2023.The 27 full papers and 20 short papers included in this book are car
This book constitutes the refereed proceedings of the 25th Conference on Medical Image Understanding and Analysis, MIUA 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and 8 short papers presen