Zoekresultaten - Heang‐Ping Chan

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  1. 1
    Computer-Aided Diagnosis of Lung Cancer and Pulmonary Embolism in Computed Tomography—A Review

    Computer-Aided Diagnosis of Lung Cancer and Pulmonary Embolism in Computed Tomography—A Review door Heang‐Ping Chan, Lubomir M. Hadjiiski, Chuan Zhou, Berkman Sahiner

    Gepubliceerd in 2008
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  2. 2
    Evaluation of the transmitted exposure through lead equivalent aprons used in a radiology department, including the contribution from backscatter

    Evaluation of the transmitted exposure through lead equivalent aprons used in a radiology department, including the contribution from backscatter door Emmanuel Christodoulou, Mitchell M. Goodsitt, Sandra C. Larson, Katie L. Darner, Jahangir Satti, Heang‐Ping Chan

    Gepubliceerd in 2003
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  3. 3
    Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

    Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography door Ravi K. Samala, Heang‐Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Jun Wei, H. Kenny

    Gepubliceerd in 2016
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  4. 4
    Automated coronary artery tree extraction in coronary CT angiography using a multiscale enhancement and dynamic balloon tracking (MSCAR-DBT) method

    Automated coronary artery tree extraction in coronary CT angiography using a multiscale enhancement and dynamic balloon tracking (MSCAR-DBT) method door Chuan Zhou, Heang‐Ping Chan, Aamer Chughtai, Smita Patel, Lubomir M. Hadjiiski, Jun Wei, Ella A. Kazerooni

    Gepubliceerd in 2011
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  5. 5
    Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: A 3D approach

    Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: A 3D approach door Berkman Sahiner, Heang‐Ping Chan, Lubomir M. Hadjiiski, Mark A. Helvie, Jun Wei, Chuan Zhou, Yao Lu

    Gepubliceerd in 2011
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  6. 6
    Urinary bladder segmentation in CT urography using deep‐learning convolutional neural network and level sets

    Urinary bladder segmentation in CT urography using deep‐learning convolutional neural network and level sets door H. Kenny, Lubomir M. Hadjiiski, Ravi K. Samala, Heang‐Ping Chan, Elaine M. Caoili, Richard H. Cohan

    Gepubliceerd in 2016
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  7. 7
    A comparative study of limited‐angle cone‐beam reconstruction methods for breast tomosynthesis

    A comparative study of limited‐angle cone‐beam reconstruction methods for breast tomosynthesis door Yiheng Zhang, Heang‐Ping Chan, Berkman Sahiner, Jun Wei, Mitchell M. Goodsitt, Lubomir M. Hadjiiski, Jun Ge, Chuan Zhou

    Gepubliceerd in 2006
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  8. 8
    Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer‐aided diagnosis system

    Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer‐aided diagnosis system door Metin N. Gürcan, Berkman Sahiner, Nicholas Petrick, Heang‐Ping Chan, Ella A. Kazerooni, Philip N. Cascade, Lubomir M. Hadjiiski

    Gepubliceerd in 2002
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  9. 9
    Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces

    Computerized analysis of mammographic microcalcifications in morphological and texture feature spaces door Heang‐Ping Chan, Berkman Sahiner, Kwok L. Lam, Nicholas Petrick, Mark A. Helvie, Mitchell M. Goodsitt, Dorit D. Adler

    Gepubliceerd in 1998
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  10. 10
    Association of Computerized Mammographic Parenchymal Pattern Measure with Breast Cancer Risk: A Pilot Case-Control Study

    Association of Computerized Mammographic Parenchymal Pattern Measure with Breast Cancer Risk: A Pilot Case-Control Study door Jun Wei, Heang‐Ping Chan, Yi-Ta Wu, Chuan Zhou, Mark A. Helvie, Alexander Tsodikov, Lubomir M. Hadjiiski, Berkman Sahiner

    Gepubliceerd in 2011
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  11. 11
    Computer‐aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features

    Computer‐aided diagnosis of pulmonary nodules on CT scans: Improvement of classification performance with nodule surface features door Ted W. Way, Berkman Sahiner, Heang‐Ping Chan, Lubomir M. Hadjiiski, Philip N. Cascade, Aamer Chughtai, Naama Bogot, Ella A. Kazerooni

    Gepubliceerd in 2009
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  12. 12
    Computer‐aided diagnosis of pulmonary nodules on CT scans: Segmentation and classification using 3D active contours

    Computer‐aided diagnosis of pulmonary nodules on CT scans: Segmentation and classification using 3D active contours door Ted W. Way, Lubomir M. Hadjiiski, Berkman Sahiner, Heang‐Ping Chan, Philip N. Cascade, Ella A. Kazerooni, Naama Bogot, Chuan Zhou

    Gepubliceerd in 2006
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  13. 13
    Computer‐aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches

    Computer‐aided detection of masses in digital tomosynthesis mammography: Comparison of three approaches door Heang‐Ping Chan, Jun Wei, Yiheng Zhang, Mark A. Helvie, Richard H. Moore, Berkman Sahiner, Lubomir M. Hadjiiski, Daniel B. Kopans

    Gepubliceerd in 2008
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  14. 14
    Computer‐aided detection of lung nodules: False positive reduction using a 3D gradient field method and 3D ellipsoid fitting

    Computer‐aided detection of lung nodules: False positive reduction using a 3D gradient field method and 3D ellipsoid fitting door Zhanyu Ge, Berkman Sahiner, Heang‐Ping Chan, Lubomir M. Hadjiiski, Philip N. Cascade, Naama Bogot, Ella A. Kazerooni, Jun Wei, Chuan Zhou

    Gepubliceerd in 2005
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  15. 15
    AI in medical physics: guidelines for publication

    AI in medical physics: guidelines for publication door Issam El Naqa, John M. Boone, Stanley Benedict, Mitchell M. Goodsitt, Heang‐Ping Chan, Karen Drukker, Lubomir M. Hadjiiski, Dan Ruan, Berkman Sahiner

    Gepubliceerd in 2021
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  16. 16
    Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network—A Pilot Study

    Bladder Cancer Segmentation in CT for Treatment Response Assessment: Application of Deep-Learning Convolution Neural Network—A Pilot Study door H. Kenny, Lubomir M. Hadjiiski, Ravi K. Samala, Heang‐Ping Chan, Richard H. Cohan, Elaine M. Caoili, Chintana Paramagul, Ajjai Alva, Alon Z. Weizer

    Gepubliceerd in 2016
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  17. 17
    Bladder Cancer Treatment Response Assessment in CT using Radiomics with Deep-Learning

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

    Gepubliceerd in 2017
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  18. 18
    Malignant and Benign Breast Masses on 3D US Volumetric Images: Effect of Computer-aided Diagnosis on Radiologist Accuracy

    Malignant and Benign Breast Masses on 3D US Volumetric Images: Effect of Computer-aided Diagnosis on Radiologist Accuracy door Berkman Sahiner, Heang‐Ping Chan, Marilyn A. Roubidoux, Lubomir M. Hadjiiski, Mark A. Helvie, Chintana Paramagul, Janet E. Bailey, Alexis V. Nees, Caroline E. Blane

    Gepubliceerd in 2007
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  19. 19
    U‐Net based deep learning bladder segmentation in <scp>CT</scp> urography

    U‐Net based deep learning bladder segmentation in <scp>CT</scp> urography door Xiangyuan Ma, Lubomir M. Hadjiiski, Jun Wei, Heang‐Ping Chan, H. Kenny, Richard H. Cohan, Elaine M. Caoili, Ravi K. Samala, Chuan Zhou, Yao Lu

    Gepubliceerd in 2019
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  20. 20
    Effect of CAD on Radiologists' Detection of Lung Nodules on Thoracic CT Scans: Analysis of an Observer Performance Study by Nodule Size

    Effect of CAD on Radiologists' Detection of Lung Nodules on Thoracic CT Scans: Analysis of an Observer Performance Study by Nodule Size door Berkman Sahiner, Heang‐Ping Chan, Lubomir M. Hadjiiski, Philip N. Cascade, Ella A. Kazerooni, Aamer Chughtai, Chad Poopat, Thomas Song, Luba Frank, Jadranka Stojanovska, Anil Attili

    Gepubliceerd in 2009
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