Dayong Wang

Most-cited papers

1. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer

   Babak Ehteshami Bejnordi, M. Veta, Paul Johannes van Diest, B. van Ginneken +65 more

   2017Journal of the American Medical Association (JAMA)3,301 citations Open access

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2. Deep Learning for Identifying Metastatic Breast Cancer

   Dayong Wang, A. Khosla, Rishab Gargeya, Humayun Irshad +1 more

   2016arXiv.org1,014 citations

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3. Predicting breast tumor proliferation from whole‐slide images: The TUPAC16 challenge

   M. Veta, Y. Heng, N. Stathonikos, B. Bejnordi +29 more

   2018Medical Image Anal.318 citations Open access

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4. Association of artificial intelligence-powered and manual quantification of programmed death-ligand 1 (PD-L1) expression with outcomes in patients treated with nivolumab ± ipilimumab

   V. Baxi, George Lee, C. Duan, D. Pandya +14 more

   2022Modern Pathology55 citations Open access

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5. Deep learning assessment of tumor proliferation in breast cancer histological images

   Manan A. Shah, Dayong Wang, Christopher A. Rubadue, D. Suster +1 more

   2016IEEE International Conference on Bioinformatics and Biomedicine42 citations Open access

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6. Computer-aided diagnosis for 3-d power Doppler breast ultrasound.

   Y. Lai, Yao-Sian Huang, Dayong Wang, C. Tiu +2 more

   2013Ultrasound in Medicine and Biology17 citations

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7. Designing a Deep Learning-Driven Resource-Efficient Diagnostic System for Metastatic Breast Cancer: Reducing Long Delays of Clinical Diagnosis and Improving Patient Survival in Developing Countries

   William Gao, Dayong Wang, Yi Huang

   2023Cancer Informatics11 citations Open access

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8. Federated Learning-Driven Collaborative Diagnostic System for Metastatic Breast Cancer

   William Gao, Dayong Wang, Yi Huang

   2023medRxiv7 citations Open access

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9. CD8+ T cells in tumor parenchyma and stroma by image analysis (IA) and gene expression profiling (GEP): Potential biomarkers for immuno-oncology (I-O) therapy.

   P. Szabo, George Lee, S. Ely, V. Baxi +14 more

   2019Journal of Clinical Oncology6 citations

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10. Cross-cancer Prediction: A Novel Machine Learning Approach to Discover Molecular Targets for Development of Treatments for Multiple Cancers

    K. Gao, Dayong Wang, Yi Huang

    2018Cancer Informatics5 citations Open access

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