Jing Li 0016

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Hairong Wang

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Publications

2025
[j26]
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Lujia Wang, Hairong Wang, Yi Su, Fleming Lure, Jing Li:
A Novel Hybrid Ordinal Learning Model With Health Care Application. IEEE Trans Autom. Sci. Eng. 22: 339-352 (2025)
[j24]
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  - journals/tase/MaoWHTCSL25
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Lingchao Mao, Hairong Wang, Leland S. Hu, Nhan L. Tran, Peter D. Canoll, Kristin R. Swanson, Jing Li:
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A Review. IEEE Trans Autom. Sci. Eng. 22: 10008-10028 (2025)
2024
[j20]
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  - journals/npjdm/WangAYBSPSJHTHSPDBGSCL24
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Hairong Wang, Michael G. Argenziano, Hyunsoo Yoon, Deborah Boyett, Akshay Save, Petros Petridis, William Savage, Pamela R. Jackson, Andrea Hawkins-Daarud, Nhan L. Tran, Leland S. Hu, Kyle W. Singleton, Lisa E. Paulson, Osama Al Dalahmah, Jeffrey N. Bruce, Jack Grinband, Kristin R. Swanson, Peter D. Canoll, Jing Li:
Biologically informed deep neural networks provide quantitative assessment of intratumoral heterogeneity in post treatment glioblastoma. npj Digit. Medicine 7(1) (2024)
[i5]
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  - journals/corr/abs-2401-00128
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Lujia Wang, Hairong Wang, Fulvio D'Angelo, Lee Curtin, Christopher P. Sereduk, Gustavo De Leon, Kyle W. Singleton, Javier Urcuyo, Andrea Hawkins-Daarud, Pamela R. Jackson, Chandan Krishna, Richard S. Zimmerman, Devi P. Patra, Bernard R. Bendok, Kris A. Smith, Peter Nakaji, Kliment Donev, Leslie C. Baxter, Maciej M. Mrugala, Michele Ceccarelli, Antonio Iavarone, Kristin R. Swanson, Nhan L. Tran, Leland S. Hu, Jing Li:
Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm. CoRR abs/2401.00128 (2024)
[i4]
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  - journals/corr/abs-2401-06406
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Lingchao Mao, Hairong Wang, Leland S. Hu, Nhan L. Tran, Peter D. Canoll, Kristin R. Swanson, Jing Li:
Knowledge-Informed Machine Learning for Cancer Diagnosis and Prognosis: A review. CoRR abs/2401.06406 (2024)
2023
[i2]
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  - journals/corr/abs-2312-09540
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Lujia Wang, Hairong Wang, Yi Su, Fleming Lure, Jing Li:
A Novel Hybrid Ordinal Learning Model with Health Care Application. CoRR abs/2312.09540 (2023)

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