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Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory.

D. Liu, Y. Xu, A. Elazab, P. Yang, W. Wang, T. Wang, and B. Lei. ISBI, page 1-4. IEEE, (2020)

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Ahmed Fattah Ahmed Ahmed

Rafiq Ahmed

Ahmed Moustafa Mohammed Ahmed

Hassan cheikh Ahmed

Ejaz Ahmed

Other publications of authors with the same name

Self-calibrated brain network estimation and joint non-convex multi-task learning for identification of early Alzheimer's disease.B. Lei, N. Cheng, A. Frangi, E. Tan, J. Cao, P. Yang, A. Elazab, J. Du, Y. Xu, and T. Wang. Medical Image Anal., (2020)TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction.R. Ge, X. Hu, R. Huang, G. Jia, Y. Wang, R. Gu, C. Wang, E. Ahmed, L. Wang, J. Ye and 1 other author(s). CoRR, (2023)Glioma Growth Prediction via Generative Adversarial Learning from Multi-Time Points Magnetic Resonance Images.A. Elazab, C. Wang, S. Gardezi, H. Bai, T. Wang, B. Lei, and C. Chang. EMBC, page 1750-1753. IEEE, (2020)MPSurv: End-to-End Multi-model Pseudo-Label Model for Brain Tumor Survival Prediction with Population Information Integration.Q. Wang, X. Lin, R. Ge, A. Elazab, X. Hu, J. Cheng, Y. Peng, X. Wan, and C. Wang. CMMCA@MICCAI, volume 14243 of Lecture Notes in Computer Science, page 120-130. Springer, (2023)TA-Net: Triple attention network for medical image segmentation.Y. Li, J. Yang, J. Ni, A. Elazab, and J. Wu. Comput. Biol. Medicine, (2021)GP-GAN: Brain tumor growth prediction using stacked 3D generative adversarial networks from longitudinal MR Images.A. Elazab, C. Wang, S. Gardezi, H. Bai, Q. Hu, T. Wang, C. Chang, and B. Lei. Neural Networks, (2020)Alzheimer's disease diagnosis framework from incomplete multimodal data using convolutional neural networks.M. Abdelaziz, T. Wang, and A. Elazab. J. Biomed. Informatics, (2021)DNL-Net: deformed non-local neural network for blood vessel segmentation.J. Ni, J. Wu, A. Elazab, J. Tong, and Z. Chen. BMC Medical Imaging, 22 (1): 109 (2022)Multi-scale Graph Convolutional Network for Mild Cognitive Impairment Detection.S. Yu, G. Yue, A. Elazab, X. Song, T. Wang, and B. Lei. GLMI@MICCAI, volume 11849 of Lecture Notes in Computer Science, page 79-87. Springer, (2019)Fully Automatic Pediatric Echocardiography Segmentation Using Deep Convolutional Networks Based on BiSeNet.Y. Hu, L. Guo, B. Lei, M. Mao, Z. Jin, A. Elazab, B. Xia, and T. Wang. EMBC, page 6561-6564. IEEE, (2019)

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Disambiguation of "Elazab, Ahmed"

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Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory.

Please choose a person to relate this publication to

Ahmed Fattah Ahmed Ahmed

Rafiq Ahmed

Ahmed Moustafa Mohammed Ahmed

Hassan cheikh Ahmed

Ejaz Ahmed

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Elazab, Ahmed"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory.

Please choose a person to relate this publication to

Ahmed Fattah Ahmed Ahmed

Rafiq Ahmed

Ahmed Moustafa Mohammed Ahmed

Hassan cheikh Ahmed

Ejaz Ahmed

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Longitudinal Analysis of Mild Cognitive Impairment via Sparse Smooth Network and Attention-Based Stacked Bi-Directional Long-Short Term Memory.