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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 Y. Li. CoRR, (2023)

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Ahmed Fattah Ahmed Ahmed

Yasar Luqman Ahmed

Ejaz Ahmed

Sayed Tawfik Ahmed

Ahmed Moustafa Mohammed Ahmed

Other publications of authors with the same name

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)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)Alzheimer's disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions.A. Elazab, C. Wang, M. Abdelaziz, J. Zhang, J. Gu, J. Górriz, Y. Zhang, and C. Chang. Expert Syst. Appl., (2024)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)UWAT-GAN: Fundus Fluorescein Angiography Synthesis via Ultra-Wide-Angle Transformation Multi-scale GAN.Z. Fang, Z. Chen, P. Wei, W. Li, S. Zhang, A. Elazab, G. Jia, R. Ge, and C. Wang. MICCAI (7), volume 14226 of Lecture Notes in Computer Science, page 745-755. Springer, (2023)GCS-ICHNet: Assessment of Intracerebral Hemorrhage Prognosis using Self-Attention with Domain Knowledge Integration.X. Shan, X. Li, R. Ge, S. Wu, A. Elazab, J. Zhu, L. Zhang, G. Jia, Q. Xiao, X. Wan and 1 other author(s). BIBM, page 2217-2222. IEEE, (2023)Multiple Self-attention Network for Intracranial Vessel Segmentation.Y. Li, J. Ni, A. Elazab, and J. Wu. IJCNN, page 1-8. IEEE, (2021)

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Disambiguation of "Ahmed, Elazab"

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TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction.

Please choose a person to relate this publication to

Ahmed Fattah Ahmed Ahmed

Yasar Luqman Ahmed

Ejaz Ahmed

Sayed Tawfik Ahmed

Ahmed Moustafa Mohammed Ahmed

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ahmed, Elazab"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction.

Please choose a person to relate this publication to

Ahmed Fattah Ahmed Ahmed

Yasar Luqman Ahmed

Ejaz Ahmed

Sayed Tawfik Ahmed

Ahmed Moustafa Mohammed 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
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APA
Chicago
DIN 1505
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TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction.