Hasil Pencarian - Heang-Ping Chan

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  1. 1
    Recursive Training Strategy for a Deep Learning Network for Segmentation of Pathology Nuclei With Incomplete Annotation

    Recursive Training Strategy for a Deep Learning Network for Segmentation of Pathology Nuclei With Incomplete Annotation oleh Chuan Zhou, Heang-Ping Chan, Lubomir M. Hadjiiski, Aamer Chughtai

    Diterbitkan 2022-01-01
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  2. 2
    Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study

    Prediction of Disease Free Survival in Laryngeal and Hypopharyngeal Cancers Using CT Perfusion and Radiomic Features: A Pilot Study oleh Sean Woolen, Apurva Virkud, Lubomir Hadjiiski, Kenny Cha, Heang-Ping Chan, Paul Swiecicki, Francis Worden, Ashok Srinivasan

    Diterbitkan 2021-02-01
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  3. 3
    Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data

    Detection of Severe Lung Infection on Chest Radiographs of COVID-19 Patients: Robustness of AI Models across Multi-Institutional Data oleh André Sobiecki, Lubomir M. Hadjiiski, Heang-Ping Chan, Ravi K. Samala, Chuan Zhou, Jadranka Stojanovska, Prachi P. Agarwal

    Diterbitkan 2024-02-01
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  4. 4
    Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning

    Improved Repeatability of Mouse Tibia Volume Segmentation in Murine Myelofibrosis Model Using Deep Learning oleh Aman Kushwaha, Rami F. Mourad, Kevin Heist, Humera Tariq, Heang-Ping Chan, Brian D. Ross, Thomas L. Chenevert, Dariya Malyarenko, Lubomir M. Hadjiiski

    Diterbitkan 2023-03-01
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  5. 5
    Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

    Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning oleh Kenny H. Cha, Lubomir Hadjiiski, Heang-Ping Chan, Alon Z. Weizer, Ajjai Alva, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ravi K. Samala

    Diterbitkan 2017-08-01
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  6. 6
    Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study

    Computerized Decision Support for Bladder Cancer Treatment Response Assessment in CT Urography: Effect on Diagnostic Accuracy in Multi-Institution Multi-Specialty Study oleh Di Sun, Lubomir Hadjiiski, Ajjai Alva, Yousef Zakharia, Monika Joshi, Heang-Ping Chan, Rohan Garje, Lauren Pomerantz, Dean Elhag, Richard H. Cohan, Elaine M. Caoili, Wesley T. Kerr, Kenny H. Cha, Galina Kirova-Nedyalkova, Matthew S. Davenport, Prasad R. Shankar, Isaac R. Francis, Kimberly Shampain, Nathaniel Meyer, Daniel Barkmeier, Sean Woolen, Phillip L. Palmbos, Alon Z. Weizer, Ravi K. Samala, Chuan Zhou, Martha Matuszak

    Diterbitkan 2022-03-01
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