Hasil Pencarian - Hugo J.W.L. Aerts

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  1. 1
    Artificial intelligence-derived imaging biomarkers to improve population health

    Artificial intelligence-derived imaging biomarkers to improve population health oleh Jakob Weiss, Udo Hoffmann, Hugo J W L Aerts

    Diterbitkan 2020-04-01
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  2. 2
    Robustness and reproducibility for AI learning in biomedical sciences: RENOIR

    Robustness and reproducibility for AI learning in biomedical sciences: RENOIR oleh Alessandro Barberis, Hugo J. W. L. Aerts, Francesca M. Buffa

    Diterbitkan 2024-01-01
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  3. 3
    Relationship between the temporal changes in positron-emission-tomography-imaging-based textural features and pathologic response and survival in esophageal cancer patients

    Relationship between the temporal changes in positron-emission-tomography-imaging-based textural features and pathologic response and survival in esophageal cancer patients oleh Stephen ShingFan Yip, Thibaud P Coroller, Nina N Sanford, Harvey eMamon, Hugo J.W.L. Aerts, Hugo J.W.L. Aerts, Ross I. Berbeco

    Diterbitkan 2016-03-01
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  4. 4
    Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology

    Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology oleh Christopher E. Kehayias, Yujie Yan, Dennis Bontempi, Dennis Bontempi, Sarah Quirk, Danielle S. Bitterman, Jeremy S. Bredfeldt, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Raymond H. Mak, Raymond H. Mak, Christian V. Guthier, Christian V. Guthier

    Diterbitkan 2024-01-01
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  5. 5
    Radiomic Machine Learning Classifiers for Prognostic Biomarkers of Head & Neck Cancer

    Radiomic Machine Learning Classifiers for Prognostic Biomarkers of Head & Neck Cancer oleh Chintan eParmar, Chintan eParmar, Chintan eParmar, Patrick eGrossmann, Patrick eGrossmann, Derek eRietveld, Michelle M. Rietbergen, Philippe eLambin, Hugo J.W.L. Aerts, Hugo J.W.L. Aerts

    Diterbitkan 2015-12-01
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  6. 6
    Growth in eligibility criteria content and failure to accrue among National Cancer Institute (NCI)‐affiliated clinical trials

    Growth in eligibility criteria content and failure to accrue among National Cancer Institute (NCI)‐affiliated clinical trials oleh John S. Peterson, Deborah Plana, Danielle S. Bitterman, Skyler Bryce Johnson, Hugo J. W. L. Aerts, Benjamin Harris Kann

    Diterbitkan 2023-02-01
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  7. 7
    Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimization

    Image based prognosis in head and neck cancer using convolutional neural networks: a case study in reproducibility and optimization oleh Pedro Mateus, Leroy Volmer, Leonard Wee, Hugo J. W. L. Aerts, Frank Hoebers, Andre Dekker, Inigo Bermejo

    Diterbitkan 2023-10-01
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  8. 8
    Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network

    Radiologists can visually predict mortality risk based on the gestalt of chest radiographs comparable to a deep learning network oleh Jakob Weiss, Jana Taron, Zexi Jin, Thomas Mayrhofer, Hugo J. W. L. Aerts, Michael T. Lu, Udo Hoffmann

    Diterbitkan 2021-10-01
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  9. 9
    Comparison of texture features derived from static and respiratory-gated PET images in non-small cell lung cancer.

    Comparison of texture features derived from static and respiratory-gated PET images in non-small cell lung cancer. oleh Stephen Yip, Keisha McCall, Michalis Aristophanous, Aileen B Chen, Hugo J W L Aerts, Ross Berbeco

    Diterbitkan 2014-01-01
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  10. 10
    Histopathological Image QTL Discovery of Immune Infiltration Variants

    Histopathological Image QTL Discovery of Immune Infiltration Variants oleh Joseph D. Barry, Maud Fagny, Joseph N. Paulson, Hugo J.W.L. Aerts, John Platig, John Quackenbush

    Diterbitkan 2018-07-01
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  11. 11
    Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy

    Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy oleh Stefano Trebeschi, Stefano Trebeschi, Stefano Trebeschi, Zuhir Bodalal, Zuhir Bodalal, Thierry N. Boellaard, Teresa M. Tareco Bucho, Teresa M. Tareco Bucho, Silvia G. Drago, Ieva Kurilova, Ieva Kurilova, Adriana M. Calin-Vainak, Adriana M. Calin-Vainak, Andrea Delli Pizzi, Andrea Delli Pizzi, Mirte Muller, Karlijn Hummelink, Koen J. Hartemink, Thi Dan Linh Nguyen-Kim, Thi Dan Linh Nguyen-Kim, Thi Dan Linh Nguyen-Kim, Egbert F. Smit, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Regina G. H. Beets-Tan, Regina G. H. Beets-Tan, Regina G. H. Beets-Tan

    Diterbitkan 2021-03-01
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  12. 12
    What Does DALL-E 2 Know About Radiology?

    What Does DALL-E 2 Know About Radiology? oleh Lisa C Adams, Felix Busch, Daniel Truhn, Marcus R Makowski, Hugo J W L Aerts, Keno K Bressem

    Diterbitkan 2023-03-01
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  13. 13
    Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy

    Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy oleh Stefano Trebeschi, Stefano Trebeschi, Stefano Trebeschi, Zuhir Bodalal, Zuhir Bodalal, Nick van Dijk, Thierry N. Boellaard, Paul Apfaltrer, Paul Apfaltrer, Teresa M. Tareco Bucho, Teresa M. Tareco Bucho, Thi Dan Linh Nguyen-Kim, Thi Dan Linh Nguyen-Kim, Thi Dan Linh Nguyen-Kim, Michiel S. van der Heijden, Michiel S. van der Heijden, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Hugo J. W. L. Aerts, Regina G. H. Beets-Tan, Regina G. H. Beets-Tan, Regina G. H. Beets-Tan

    Diterbitkan 2021-04-01
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  14. 14
    Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC.

    Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC. oleh Tai H Dou, Thibaud P Coroller, Joost J M van Griethuysen, Raymond H Mak, Hugo J W L Aerts

    Diterbitkan 2018-01-01
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  15. 15
    Deep learning to estimate lung disease mortality from chest radiographs

    Deep learning to estimate lung disease mortality from chest radiographs oleh Jakob Weiss, Vineet K. Raghu, Dennis Bontempi, David C. Christiani, Raymond H. Mak, Michael T. Lu, Hugo J.W.L. Aerts

    Diterbitkan 2023-05-01
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  16. 16
    Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation.

    Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation. oleh Stephen S F Yip, Chintan Parmar, Daniel Blezek, Raul San Jose Estepar, Steve Pieper, John Kim, Hugo J W L Aerts

    Diterbitkan 2017-01-01
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  17. 17
    Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers

    Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers oleh Borek Foldyna, Ibrahim Hadzic, Roman Zeleznik, Marcel C. Langenbach, Vineet K. Raghu, Thomas Mayrhofer, Michael T. Lu, Hugo J. W. L. Aerts

    Diterbitkan 2024-03-01
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  18. 18
    Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer

    Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer oleh Stephen S. F. Yip, Ying Liu, Chintan Parmar, Qian Li, Shichang Liu, Fangyuan Qu, Zhaoxiang Ye, Robert J. Gillies, Hugo J. W. L. Aerts

    Diterbitkan 2017-06-01
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  19. 19
    Enrichment of lung cancer computed tomography collections with AI-derived annotations

    Enrichment of lung cancer computed tomography collections with AI-derived annotations oleh Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David Clunie, Christopher P. Bridge, Hugo J. W. L. Aerts, Ron Kikinis, Andrey Fedorov

    Diterbitkan 2024-01-01
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  20. 20
    Deep learning classification of lung cancer histology using CT images

    Deep learning classification of lung cancer histology using CT images oleh Tafadzwa L. Chaunzwa, Ahmed Hosny, Yiwen Xu, Andrea Shafer, Nancy Diao, Michael Lanuti, David C. Christiani, Raymond H. Mak, Hugo J. W. L. Aerts

    Diterbitkan 2021-03-01
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