From post

Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data.

, , , , и . MICCAI (3), том 8675 из Lecture Notes in Computer Science, стр. 321-328. 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.

 

Другие публикации лиц с тем же именем

Stability-Weighted Matrix Completion of Incomplete Multi-modal Data for Disease Diagnosis., , , и . MICCAI (2), том 9901 из Lecture Notes in Computer Science, стр. 88-96. (2016)Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation?, , , и . MICCAI (3), том 10435 из Lecture Notes in Computer Science, стр. 692-700. Springer, (2017)Dynamic Tree-Based Large-Deformation Image Registration for Multi-atlas Segmentation., , , , и . MCV@MICCAI, том 9601 из Lecture Notes in Computer Science, стр. 137-145. Springer, (2015)Joint Diagnosis and Conversion Time Prediction of Progressive Mild Cognitive Impairment (pMCI) Using Low-Rank Subspace Clustering and Matrix Completion., , , и . MICCAI (3), том 9351 из Lecture Notes in Computer Science, стр. 527-534. Springer, (2015)Disentangled Intensive Triplet Autoencoder for Infant Functional Connectome Fingerprinting., , , , , , , и . MICCAI (7), том 12267 из Lecture Notes in Computer Science, стр. 72-82. Springer, (2020)Multiple Atlases-Based Joint Labeling of Human Cortical Sulcal Curves., , , и . MCV, том 7766 из Lecture Notes in Computer Science, стр. 124-132. Springer, (2012)Deep Learning-Based Head and Neck Radiotherapy Planning Dose Prediction via Beam-Wise Dose Decomposition., , , , , , и . MICCAI (8), том 13437 из Lecture Notes in Computer Science, стр. 575-584. Springer, (2022)Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization., , , , и . MLMI@MICCAI, том 11861 из Lecture Notes in Computer Science, стр. 1-8. Springer, (2019)Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation., , , , , и . ICASSP, стр. 1419-1423. IEEE, (2020)Identification of Infants at Risk for Autism Using Multi-parameter Hierarchical White Matter Connectomes., , , , , и . MLMI, том 9352 из Lecture Notes in Computer Science, стр. 170-177. Springer, (2015)