( en | de | ru )

 

Disambiguation

From post

копироватьудалитьдобавить публикацию в буфер
Self-Attention Equipped Graph Convolutions for Disease Prediction.

, , , , , и . ISBI, стр. 1896-1899. IEEE, (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.

Svetlana Kazitsyna

Ahmad Kazimi

Emmanuel Owden Kazimoto

Julian Kazin

Amin Hasan Kazi

 

Другие публикации лиц с тем же именем

Differentiable Graph Module (DGM) Graph Convolutional Networks., , , и . CoRR, (2020)Self-Attention Equipped Graph Convolutions for Disease Prediction., , , , , и . ISBI, стр. 1896-1899. IEEE, (2019)DG-GRU: dynamic graph based gated recurrent unit for age and gender prediction using brain imaging., , , , , , и . Medical Imaging: Computer-Aided Diagnosis, том 12033 из SPIE Proceedings, SPIE, (2022)Graph Convolution Based Attention Model for Personalized Disease Prediction., , , , , , , , , и . MICCAI (4), том 11767 из Lecture Notes in Computer Science, стр. 122-130. Springer, (2019)Latent Graph Inference using Product Manifolds., , , и . ICLR, OpenReview.net, (2023)Automatic Classification of Proximal Femur Fractures Based on Attention Models., , , , , , и . MLMI@MICCAI, том 10541 из Lecture Notes in Computer Science, стр. 70-78. Springer, (2017)InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction., , , , , , , , и . IPMI, том 11492 из Lecture Notes in Computer Science, стр. 73-85. Springer, (2019)Latent-Graph Learning for Disease Prediction., , , , и . MICCAI (2), том 12262 из Lecture Notes in Computer Science, стр. 643-653. Springer, (2020)A Survey on Graph Construction for Geometric Deep Learning in Medicine: Methods and Recommendations., , , , , , , , , и . Trans. Mach. Learn. Res., (2024)The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks., , , и . ISBI, стр. 1-5. IEEE, (2024)