From post

Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks.

, , , и . MICCAI (2), том 11765 из Lecture Notes in Computer Science, стр. 201-209. Springer, (2019)

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.

 

Другие публикации лиц с тем же именем

Adaptive Locally Low Rank and Sparsity Constrained Reconstruction for Accelerated Dynamic MRI., , , и . ISBI, стр. 930-934. IEEE, (2020)Enhanced Image Registration With a Network Paradigm and Incorporation of a Deformation Representation Model., и . ISBI, стр. 91-94. IEEE, (2020)Deformable Image Registration with a Scale-adaptive Convolutional Neural Network., и . BIBE, стр. 556-562. IEEE, (2020)Imposing implicit feasibility constraints on deformable image registration using a statistical generative model., , , и . Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 113132V. SPIE, (2020)Fully Automated Pancreas Segmentation with Two-Stage 3D Convolutional Neural Networks., , , и . MICCAI (2), том 11765 из Lecture Notes in Computer Science, стр. 201-209. Springer, (2019)4D-CBCT Registration with a FBCT-derived Plug-and-Play Feasibility Regularizer., и . MICCAI (4), том 12904 из Lecture Notes in Computer Science, стр. 108-117. Springer, (2021)Online Target Volume Estimation and Prediction from an Interlaced Slice Acquisition - A Manifold Embedding and Learning Approach., , и . AIRT@MICCAI, том 11850 из Lecture Notes in Computer Science, стр. 78-85. Springer, (2019)BCG Artifact Removal for Reconstructing Full-Scalp EEG Inside the MR Scanner., , и . PRNI, стр. 178-181. IEEE, (2013)Coupled basis learning and regularized reconstruction for BCG artifact removal in simultaneous EEG-FMRI studies., , и . ISBI, стр. 986-989. IEEE, (2013)Iterative reconstruction for low dose CT using Plug-and-Play alternating direction method of multipliers (ADMM) framework., , , , , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 1094906. SPIE, (2019)