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Progress in Biomedical Optics and Imaging - Proceedings of SPIE(2)
Artificial Intelligence in Medicine(1)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(1)
Medical Image Analysis(1)
Neural Networks(1)
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation
OtherAbstract: Domain Adaptation (DA) has recently been of strong interest in the medical imaging community. WhilePalabras claves:Domain Adaptation, segmentation, Vestibular schwannomaAutores:Bakas S., Batmanghelich K., Belkov A., Cardoso J., Choi J.W., Dawant B.M., Dong H., Dorent R., Escalera S., Fan Y., Glocker B., Hansen L., Heinrich M.P., Ivory M., Joshi S., Joutard S., Kashtanova V., Kim H.G., Kondo S., Kruse C.N., Kujawa A., Lai-Yuen S.K., Li H., Liu H., Ly B., Maria G. Baldeon Calisto, Modat M., Oguz I., Ourselin S., Rieke N., Shapey J., Shin H., Shirokikh B., Su Z., Vercauteren T., Wang G., Wu J., Xu Y., Yao K., Zhang L.Fuentes:googlescopusAdaEn-Net: An ensemble of adaptive 2D–3D Fully Convolutional Networks for medical image segmentation
ArticleAbstract: Fully Convolutional Networks (FCNs) have emerged as powerful segmentation models but are usually desPalabras claves:deep learning, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusEMONAS-Net: Efficient multiobjective neural architecture search using surrogate-assisted evolutionary algorithm for 3D medical image segmentation
ArticleAbstract: Deep learning plays a critical role in medical image segmentation. Nevertheless, manually designingPalabras claves:AutoML, convolutional neural networks, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusEMONAS: Efficient multiobjective neural architecture search framework for 3D medical image segmentation
Conference ObjectAbstract: Deep learning plays a critical role in medical image segmentation. Nevertheless, manually designingPalabras claves:deep learning, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusSelf-adaptive 2D-3D ensemble of fully convolutional networks for medical image segmentation
Conference ObjectAbstract: Segmentation is a critical step in medical image analysis. Fully Convolutional Networks (FCNs) havePalabras claves:deep learning, Hyperparameter optimization, Medical image segmentation, Multiobjective optimization, Neural Architecture SearchAutores:Lai-Yuen S.K., Maria G. Baldeon CalistoFuentes:googlescopusStac-Da: Structure Aware Cross-Modality Domain Adaptation Framework with Image and Feature Level Adaptation for Medical Image Segmentation
OtherAbstract: In this work, we present an unsupervised Structure Aware Cross-modality Domain Adaptation (StAC-DA)Palabras claves:Autores:Maria G. Baldeon CalistoFuentes:googleTeacher-Student Semi-supervised Approach for Medical Image Segmentation
Conference ObjectAbstract: Accurate segmentation of anatomical structures is a critical step for medical image analysis. Deep lPalabras claves:image segmentation, Medical image analysis, semi-supervised learningAutores:Maria G. Baldeon CalistoFuentes:googlescopus