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Predicting heart rejection using histopathological whole-slide imaging and deep neural network with dropout.

, , , and . BHI, page 1-4. IEEE, (2017)

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Editorial: Special Issue on Health Informatics and Personalized Medicine., , , and . IEEE Trans. Biomed. Eng., 60 (1): 143-146 (2013)An Integrated Image Quantification System for Colorectal Cancer Risk Assessment Using Quantum Dots and Molecular Profiling., , , , , and . ISBI, page 1280-1283. IEEE, (2007)Multi-Modal Deep Learning Models for Alzheimer's Disease Prediction Using MRI and EHR., , , , , , , , and . BIBE, page 168-173. IEEE, (2022)Pan-cancer analysis for studying cancer stage using protein expression data., , and . EMBC, page 8189-8192. IEEE, (2015)Pan-cancer analysis for studying cancer stage using protein and gene expression data., , and . EMBC, page 2440-2443. IEEE, (2016)Unmixing of spectrally similar quantum dots using filter selection., , , , and . EMBC, page 3012-3015. IEEE, (2013)Exploring the feasibility of next-generation sequencing and microarray data meta-analysis., , and . EMBC, page 7618-7621. IEEE, (2011)Detection of blur artifacts in histopathological whole-slide images of endomyocardial biopsies., , , , , and . EMBC, page 727-730. IEEE, (2015)The selection of quantification pipelines for Illumina RNA-seq data using a subsampling approach., and . BHI, page 78-81. IEEE, (2016)Evaluating the impact of sequencing error correction for RNA-seq data with ERCC RNA spike-in controls., , , and . BHI, page 74-77. IEEE, (2016)