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Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.

C. Cui, Z. Asad, W. Dean, I. Smith, C. Madden, S. Bao, B. Landman, J. Roland, L. Coburn, K. Wilson, J. Zwerner, S. Zhao, L. Wheless, and Y. Huo. Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)

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Behrang Asadi

Asad Sadick

Ali Asad

Asad Kutup

Asad Kalawesh

Other publications of authors with the same name

Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review.C. Cui, H. Yang, Y. Wang, S. Zhao, Z. Asad, L. Coburn, K. Wilson, B. Landman, and Y. Huo. CoRR, (2022)Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification.Y. Lu, H. Yang, Z. Asad, Z. Zhu, T. Yao, J. Xu, A. Fogo, and Y. Huo. CoRR, (2022)Robust Fiber ODF Estimation Using Deep Constrained Spherical Deconvolution for Diffusion MRI.T. Yao, F. Rheault, L. Cai, V. Nath, Z. Asad, N. Newlin, C. Cui, R. Deng, K. Ramadass, A. Shafer and 4 other author(s). CoRR, (2023)MAG: A Simple Learning-Based Patient-Level Aggregation Method for Detecting Microsatellite Instability from Whole-Slide Images.K. Pang, Z. Asad, S. Zhao, and Y. Huo. ISBI, page 1-4. IEEE, (2022)Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning.Q. Liu, C. Cui, R. Deng, Z. Asad, T. Yao, Z. Zhu, and Y. Huo. REMIA@MICCAI, volume 13543 of Lecture Notes in Computer Science, page 75-84. Springer, (2022)Digital Modeling on Large Kernel Metamaterial Neural Network.Q. Liu, H. Zheng, B. Swartz, H. Lee, Z. Asad, I. Kravchenko, J. Valentine, and Y. Huo. CoRR, (2023)Integrate memory efficiency methods for self-supervised learning on pathological image analysis.Q. Liu, B. Millis, Z. Asad, C. Cui, W. Dean, I. Smith, C. Madden, J. Roland, J. Zwerner, S. Zhao and 2 other author(s). Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Evaluating transformer-based semantic segmentation networks for pathological image segmentation.C. Nguyen, Z. Asad, R. Deng, and Y. Huo. Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)Deep constrained spherical deconvolution for robust harmonization.T. Yao, F. Rheault, L. Cai, V. Nath, Z. Asad, N. Newlin, C. Cui, R. Deng, K. Ramadass, K. Schilling and 2 other author(s). Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Single Dynamic Network for Multi-label Renal Pathology Image Segmentation.R. Deng, Q. Liu, C. Cui, Z. Asad, H. Yang, and Y. Huo. MIDL, volume 172 of Proceedings of Machine Learning Research, page 304-314. PMLR, (2022)

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Disambiguation of "Asad, Zuhayr"

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Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.

Please choose a person to relate this publication to

Behrang Asadi

Asad Sadick

Ali Asad

Asad Kutup

Asad Kalawesh

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Asad, Zuhayr"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.

Please choose a person to relate this publication to

Behrang Asadi

Asad Sadick

Ali Asad

Asad Kutup

Asad Kalawesh

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

Multi-modal learning with missing data for cancer diagnosis using histopathological and genomic data.