( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging.

, , , , , , и . BrainLes@MICCAI (2), том 12963 из Lecture Notes in Computer Science, стр. 540-551. Springer, (2021)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

Filipe Campello

Víctor Farías

Víctor Castaño

Víctor Jiménez

Víctor Uc-Cetina

Reinforcement learning in continuous state and action spaces. HU Berlin, (2009)
 

Другие публикации лиц с тем же именем

Cardiac segmentation on late gadolinium enhancement MRI: A benchmark study from multi-sequence cardiac MR segmentation challenge., , , , , , , , , и 13 other автор(ы). Medical Image Anal., (2022)Combining Multi-Sequence and Synthetic Images for Improved Segmentation of Late Gadolinium Enhancement Cardiac MRI., , , , , и . STACOM@MICCAI, том 12009 из Lecture Notes in Computer Science, стр. 290-299. Springer, (2019)Domain generalization in deep learning for contrast-enhanced imaging., , , , , , , и . Comput. Biol. Medicine, (2022)nn-UNet Training on CycleGAN-Translated Images for Cross-modal Domain Adaptation in Biomedical Imaging., , , , , , и . BrainLes@MICCAI (2), том 12963 из Lecture Notes in Computer Science, стр. 540-551. Springer, (2021)Style Curriculum Learning for Robust Medical Image Segmentation., , , , , , , , и . MICCAI (1), том 12901 из Lecture Notes in Computer Science, стр. 451-460. Springer, (2021)Cardiac Segmentation on Late Gadolinium Enhancement MRI: A Benchmark Study from Multi-Sequence Cardiac MR Segmentation Challenge., , , , , , , , , и 13 other автор(ы). CoRR, (2020)Multi-center, multi-vendor automated segmentation of left ventricular anatomy in contrast-enhanced MRI., , , , , , , и . CoRR, (2021)Generalisability of deep learning models in low-resource imaging settings: A fetal ultrasound study in 5 African countries., , , , , , , , , и 7 other автор(ы). CoRR, (2022)Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation., , , , , и . MICCAI (8), том 13438 из Lecture Notes in Computer Science, стр. 514-524. Springer, (2022)Stacked BCDU-Net with Semantic CMR Synthesis: Application to Myocardial Pathology Segmentation Challenge., , , , , и . MyoPS@MICCAI, том 12554 из Lecture Notes in Computer Science, стр. 1-16. Springer, (2020)