Author of the publication

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes.

, , , , , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 851-858. Springer, (2018)

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. You can also use the button next to the name to display some publications already assigned to the person.

 

Other publications of authors with the same name

Towards intelligent robust detection of anatomical structures in incomplete volumetric data., , , , , and . Medical Image Analysis, (2018)Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels., , , , , , and . CoRR, (2019)Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment., , , , , , , , and . CoRR, (2019)Advanced Transcatheter Aortic Valve Implantation (TAVI) Planning from CT with ShapeForest., and . MICCAI (2), volume 8674 of Lecture Notes in Computer Science, page 17-24. Springer, (2014)Robust Multi-scale Anatomical Landmark Detection in Incomplete 3D-CT Data., , , , , and . MICCAI (1), volume 10433 of Lecture Notes in Computer Science, page 194-202. Springer, (2017)Robust Model-Based 3D/3D Fusion Using Sparse Matching for Minimally Invasive Surgery., , , , , and . MICCAI (1), volume 8149 of Lecture Notes in Computer Science, page 171-178. Springer, (2013)3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes., , , , , , , , , and . MICCAI (2), volume 11071 of Lecture Notes in Computer Science, page 851-858. Springer, (2018)Multi-modal Validation Framework of Mitral Valve Geometry and Functional Computational Models., , , , , , , , , and 2 other author(s). STACOM, volume 8896 of Lecture Notes in Computer Science, page 239-248. Springer, (2014)Probabilistic Sparse Matching for Robust 3D/3D Fusion in Minimally Invasive Surgery., , , , , and . IEEE Trans. Med. Imaging, 34 (1): 49-60 (2015)Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans., , , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 41 (1): 176-189 (2019)