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

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

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Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology by 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

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Radiomic Machine Learning Classifiers for Prognostic Biomarkers of Head & Neck Cancer by 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

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

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

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

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

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

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Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy by 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

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

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

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

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

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

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

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

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

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Edge roughness quantifies impact of physician variation on training and performance of deep learning auto-segmentation models for the esophagus by Yujie Yan, Christopher Kehayias, John He, Hugo J. W. L. Aerts, Kelly J. Fitzgerald, Benjamin H. Kann, David E. Kozono, Christian V. Guthier, Raymond H. Mak

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Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study. by Ahmed Hosny, Chintan Parmar, Thibaud P Coroller, Patrick Grossmann, Roman Zeleznik, Avnish Kumar, Johan Bussink, Robert J Gillies, Raymond H Mak, Hugo J W L Aerts

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