( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
3D Prostate TRUS Segmentation Using Globally Optimized Volume-Preserving Prior.

, , , , , , и . MICCAI (1), том 8673 из Lecture Notes in Computer Science, стр. 796-803. Springer, (2014)

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.

Fumin Dong

Xinrong Guo

Guo Cheng

Jiong Guo

Xin Guo

 

Другие публикации лиц с тем же именем

Cardiac cine MRI left ventricle segmentation combining deep learning and graphical models., , и . Medical Imaging: Image Processing, том 11313 из SPIE Proceedings, стр. 113130Z. SPIE, (2020)A Voxel-Based Fully Convolution Network and Continuous Max-Flow for Carotid Vessel-Wall-Volume Segmentation From 3D Ultrasound Images., , , , , , и . IEEE Trans. Medical Imaging, 39 (9): 2844-2855 (2020)Fourier decomposition free-breathing H MRI perfusion maps in asthma., , , , , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 1094912. SPIE, (2019)Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study., , , , , , и . CoRR, (2020)Globally optimal co-segmentation of three-dimensional pulmonary 1H and hyperpolarized 3He MRI with spatial consistence prior., , , , , , , и . Medical Image Anal., 23 (1): 43-55 (2015)Improving cardiac MRI convolutional neural network segmentation on small training datasets and dataset shift: A continuous kernel cut approach., , , , , , и . Medical Image Anal., (2020)Estimating Uncertainty in Neural Networks for Cardiac MRI Segmentation: A Benchmark Study., , , , , , и . IEEE Trans. Biomed. Eng., 70 (6): 1955-1966 (июня 2023)Cardiac MRI Left Ventricular Segmentation and Function Quantification Using Pre-trained Neural Networks., , , и . FIMH, том 12738 из Lecture Notes in Computer Science, стр. 46-54. Springer, (2021)3D Prostate TRUS Segmentation Using Globally Optimized Volume-Preserving Prior., , , , , , и . MICCAI (1), том 8673 из Lecture Notes in Computer Science, стр. 796-803. Springer, (2014)Cardiac MRI Left Ventricle Segmentation and Quantification: A Framework Combining U-Net and Continuous Max-Flow., , и . STACOM@MICCAI, том 11395 из Lecture Notes in Computer Science, стр. 450-458. Springer, (2018)