( en | de | ru )

 

Disambiguation of "Yu, Kun-Hsing"

Author of the publication

copydeleteadd this publication to your clipboard
Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction.

, , , , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132S. SPIE, (2020)

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. You can also use the button next to the name to display some publications already assigned to the person.

Yü-kun An

Yü-kun An

Wenjung Hsing

Chi-Wu Hsing

Kun Tao

 

Other publications of authors with the same name

Classifying Non-Small Cell Lung Cancer Histopathology Types and Transcriptomic Subtypes using Convolutional Neural Networks., , , , , , and . AMIA, AMIA, (2019)Subtype Discovery for Autism Spectrum Disorder by Comorbidity Analysis., , and . AMIA, AMIA, (2017)Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics., , , , , , , , , and 2 other author(s). J. Am. Medical Informatics Assoc., 24 (e1): e185-e190 (2017)Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract)., , , , , , , and . AAAI, page 23690-23692. AAAI Press, (2024)Unraveling the Molecular Basis of Lung Adenocarcinoma Dedifferentiation and Prognosis by Integrating Omics and Histopathology., , , , , and . AMIA, AMIA, (2018)Integrating deep transfer learning and radiomics features in glioblastoma multiforme patient survival prediction., , , , , , , and . Medical Imaging: Image Processing, volume 11313 of SPIE Proceedings, page 113132S. SPIE, (2020)Ten quick tips for deep learning in biology., , , , , , , , , and 10 other author(s). PLoS Comput. Biol., (2022)Harnessing Big Data for Precision Medicine: Infrastructures and Applications., , , , , and . PSB, page 635-639. (2017)Predicting Non-Small Cell Lung Cancer Diagnosis and Prognosis by Fully Automated Microscopic Pathology Image Features., , , , , , and . AMIA, AMIA, (2017)Classifying Benign and Malignant Lung Diseases by Applying Machine Learning Methods to Microscopic Pathology Images., , and . AMIA, AMIA, (2013)