Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Agostina J. Larrazabal"'
Publikováno v:
IEEE Transactions on Medical Imaging. 39:3813-3820
We introduce Post-DAE, a post-processing method based on denoising autoencoders (DAE) to improve the anatomical plausibility of arbitrary biomedical image segmentation algorithms. Some of the most popular segmentation methods (e.g. based on convoluti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daf6eed498afbedbf79ea0cb83e12faf
https://doi.org/10.1109/tmi.2020.3005297
https://doi.org/10.1109/tmi.2020.3005297
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Proceedings of the National Academy of Sciences of the United States of America
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Proceedings of the National Academy of Sciences of the United States of America
Artificial intelligence (AI) systems for computer-aided diagnosis and image-based screening are being adopted worldwide by medical institutions. In such a context, generating fair and unbiased classifiers becomes of paramount importance. The research
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3f84039e13e0f6eae9bcbcc10203b101
https://doi.org/10.1073/pnas.1919012117
https://doi.org/10.1073/pnas.1919012117
Publikováno v:
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 ISBN: 9783030871987
MICCAI (3)
MICCAI (3)
Despite the astonishing performance of deep-learning based approaches for visual tasks such as semantic segmentation, they are known to produce miscalibrated predictions, which could be harmful for critical decision-making processes. Ensemble learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::13992129adac648cfbcc3f3f310f489b
https://doi.org/10.1007/978-3-030-87199-4_56
https://doi.org/10.1007/978-3-030-87199-4_56
Publikováno v:
2019 IEEE International Work Conference on Bioinspired Intelligence (IWOBI) | IEEE International Work Conference on Bioinspired Intelligence (IWOBI) | 3/07/2019-5/07/2019 | Budapest, Hungary
Archivo Digital UPM
instname
Universidad Politécnica de Madrid
IWOBI
Archivo Digital UPM
instname
Universidad Politécnica de Madrid
IWOBI
Recently, video-oculographic gaze tracking has begun to be used in the diagnosis of a wide variety of neurological diseases, such as Parkinson and Alzheimer. For this application, the so-called feature-based methods are used, more precisely, 2D regre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf81ab166249d476b12cb6f4dac1b692
http://oa.upm.es/65197/
http://oa.upm.es/65197/
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
Computers in Biology and Medicine, ISSN 1879-0534, 2019-05, Vol. 108
Archivo Digital UPM
Universidad Politécnica de Madrid
instname
Computers in Biology and Medicine, ISSN 1879-0534, 2019-05, Vol. 108
Archivo Digital UPM
Universidad Politécnica de Madrid
Most neurological diseases are usually accompanied by a broad spectrum of oculomotor alterations. Being able to record and analyze these different types of eye movements would be a valuable tool to understand the functional integrity of brain structu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1a2a8b7ee0e2022d2c7610990903546
http://hdl.handle.net/10261/213928
http://hdl.handle.net/10261/213928