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A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations.

B. Guo, X. Li, M. Yang, H. Zhang, and X. Xu. Comput. Medical Imaging Graph., (April 2023)

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Xu Xu

Xianxiang Xu

Imaging findings of cerebral schistosomiasis in ChinaX. Xu. Uni Hamburg, (2010)

Yan Xu

Untersuchungen zur Verleimung von Holz und Holzspanplatten mit UF-Leimharzen und PMDIY. Xu. TU Braunschweig, (2009)

Bo Xu

Other publications of authors with the same name

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer.B. Guo, J. Jonnagaddala, H. Zhang, and X. Xu. CoRR, (2022)DPSeq: A Novel and Efficient Digital Pathology Classifier for Predicting Cancer Biomarkers using Sequencer Architecture.M. Cen, X. Li, B. Guo, J. Jonnagaddala, H. Zhang, and X. Xu. CoRR, (2023)A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations.B. Guo, X. Li, M. Yang, H. Zhang, and X. Xu. CoRR, (2022)A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations.B. Guo, X. Li, M. Yang, H. Zhang, and X. Xu. Comput. Medical Imaging Graph., (April 2023)Adaptive weighted sum tests via LASSO method in multi-locus family-based association analysis.R. Liu, M. Yuan, H. Xu, P. Chen, X. Xu, and Y. Yang. Comput. Biol. Chem., (2020)A Retrospective Analysis using Deep-Learning Models for Prediction of Survival Outcome and Benefit of Adjuvant Chemotherapy in Stage II/III Colorectal Cancer.X. Li, J. Jonnagaddala, S. Yang, H. Zhang, and X. Xu. CoRR, (2021)Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model.X. Li, M. Cen, J. Xu, H. Zhang, and X. Xu. CoRR, (2022)Optimize Deep Learning Models for Prediction of Gene Mutations Using Unsupervised Clustering.Z. Chen, X. Li, M. Yang, H. Zhang, and X. Xu. CoRR, (2022)Bias correction for multiple covariate analysis using empirical bayesian estimation in mixed-effects models for longitudinal data.Y. Li, Y. Yang, X. Xu, M. Yuan, and A. Initiative. Comput. Biol. Chem., (2022)SCEBE: an efficient and scalable algorithm for genome-wide association studies on longitudinal outcomes with mixed-effects modeling.M. Yuan, X. Xu, Y. Yang, Y. Zhou, Y. Li, J. Xu, and J. Pinheiro. Briefings Bioinform., (2021)

BibSonomy

Disambiguation of "Xu, Xu Steven"

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A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations.

Please choose a person to relate this publication to

Xu Xu

Xu Xu

Xianxiang Xu

Yan Xu

Bo Xu

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Xu, Xu Steven"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations.

Please choose a person to relate this publication to

Xu Xu

Xu Xu

Xianxiang Xu

Yan Xu

Bo Xu

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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A robust and lightweight deep attention multiple instance learning algorithm for predicting genetic alterations.