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Napel, Sandy
Journal title:American Men & Women of Science : A Biographical Directory of Today’s Leaders in Physical, Biological and Related Sciences: MEL-OCK, 2022, p.8186-8186
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Napel, Sandy
Journal title:American Men & Women of Science : A Biographical Directory of Today’s Leaders in Physical, Biological and Related Sciences: MEN-OFT, 2021, p.8159-8159
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ArticlesPeer ReviewedFull Text
Artificial intelligence and machine learning in cancer imaging
Author / Creator:Koh, Dow-Mu ; Papanikolaou, Nickolas ; Bick, Ulrich ; Illing, Rowland ; Kahn, Charles E. ; Kalpathi-Cramer, Jayshree ; Matos, Celso ; Martí-Bonmatí, Luis ; Miles, Anne ; Mun, Seong Ki ; Napel, Sandy ; Rockall, Andrea ; Sala, Evis ; Strickland, Nicola ; Prior, Fred
Publisher:London: Nature Publishing Group UK
Journal title:Communications medicine, 2022-10, Vol.2 (1), p.133-133, Article 133
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Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer
Author / Creator:Wu, Jia ; Li, Xuejie ; Teng, Xiaodong ; Rubin, Daniel L. ; Napel, Sandy ; Daniel, Bruce L. ; Li, Ruijiang
Publisher:England: BioMed Central Ltd
Journal title:Breast cancer research : BCR, 2018-09, Vol.20 (1), p.101-101, Article 101
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Predictive radiogenomics modeling of EGFR mutation status in lung cancer
Author / Creator:Gevaert, Olivier ; Echegaray, Sebastian ; Khuong, Amanda ; Hoang, Chuong D. ; Shrager, Joseph B. ; Jensen, Kirstin C. ; Berry, Gerald J. ; Guo, H. Henry ; Lau, Charles ; Plevritis, Sylvia K. ; Rubin, Daniel L. ; Napel, Sandy ; Leung, Ann N.
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2017-01, Vol.7 (1), p.41674, Article 41674
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A radiogenomic dataset of non-small cell lung cancer
Author / Creator:Bakr, Shaimaa ; Gevaert, Olivier ; Echegaray, Sebastian ; Ayers, Kelsey ; Zhou, Mu ; Shafiq, Majid ; Zheng, Hong ; Benson, Jalen Anthony ; Zhang, Weiruo ; Leung, Ann N. C. ; Kadoch, Michael ; Hoang, Chuong D. ; Shrager, Joseph ; Quon, Andrew ; Rubin, Daniel L. ; Plevritis, Sylvia K. ; Napel, Sandy
Publisher:London: Nature Publishing Group UK
Journal title:Scientific data, 2018-10, Vol.5 (1), p.180202-180202, Article 180202
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A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets
Author / Creator:Mukherjee, Pritam ; Zhou, Mu ; Lee, Edward ; Schicht, Anne ; Balagurunathan, Yoganand ; Napel, Sandy ; Gillies, Robert ; Wong, Simon ; Thieme, Alexander ; Leung, Ann ; Gevaert, Olivier
Publisher:London: Nature Publishing Group UK
Journal title:Nature machine intelligence, 2020-05, Vol.2 (5), p.274-282
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Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images
Author / Creator:Echegaray, Sebastian ; Bakr, Shaimaa ; Rubin, Daniel L. ; Napel, Sandy
Publisher:Cham: Springer International Publishing
Journal title:Journal of digital imaging, 2018-08, Vol.31 (4), p.403-414
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A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study
Author / Creator:Kalpathy-Cramer, Jayashree ; Zhao, Binsheng ; Goldgof, Dmitry ; Gu, Yuhua ; Wang, Xingwei ; Yang, Hao ; Tan, Yongqiang ; Gillies, Robert ; Napel, Sandy
Publisher:Cham: Springer International Publishing
Journal title:Journal of digital imaging, 2016-08, Vol.29 (4), p.476-487
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Managing Biomedical Image Metadata for Search and Retrieval of Similar Images
Author / Creator:Korenblum, Daniel ; Rubin, Daniel ; Napel, Sandy ; Rodriguez, Cesar ; Beaulieu, Chris
Publisher:New York: Springer-Verlag
Journal title:Journal of digital imaging, 2011-08, Vol.24 (4), p.739-748
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A Comprehensive Descriptor of Shape: Method and Application to Content-Based Retrieval of Similar Appearing Lesions in Medical Images
Author / Creator:Xu, Jiajing ; Faruque, Jessica ; Beaulieu, Christopher F. ; Rubin, Daniel ; Napel, Sandy
Publisher:New York: Springer-Verlag
Journal title:Journal of digital imaging, 2012-02, Vol.25 (1), p.121-128
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ArticlesPeer ReviewedFull Text
Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter Study
Author / Creator:Zhang, Michael ; Tong, Elizabeth ; Hamrick, Forrest ; Lee, Edward H ; Tam, Lydia T ; Pendleton, Courtney ; Smith, Brandon W ; Hug, Nicholas F ; Biswal, Sandip ; Seekins, Jayne ; Mattonen, Sarah A ; Napel, Sandy ; Campen, Cynthia J ; Spinner, Robert J ; Yeom, Kristen W ; Wilson, Thomas J ; Mahan, Mark A
Publisher:United States: Oxford University Press
Journal title:Neurosurgery, 2021-09, Vol.89 (3), p.509-517
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ArticlesFull Text
Modeling Perceptual Similarity Measures in CT Images of Focal Liver Lesions
Author / Creator:Faruque, Jessica ; Rubin, Daniel L. ; Beaulieu, Christopher F. ; Napel, Sandy
Publisher:Boston: Springer US
Journal title:Journal of digital imaging, 2013-08, Vol.26 (4), p.714-720
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Performance of alternative manual and automated deep learning segmentation techniques for the prediction of benign and malignant lung nodules
Author / Creator:Selby, Heather M. ; Mukherjee, Pritam ; Parham, Christopher ; Malik, Sachin B. ; Gevaert, Olivier ; Napel, Sandy ; Shah, Rajesh P.
Publisher:United States: Society of Photo-Optical Instrumentation Engineers
Journal title:Journal of medical imaging (Bellingham, Wash.), 2023-07, Vol.10 (4), p.044006-044006
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Predicting recurrence risks in lung cancer patients using multimodal radiomics and random survival forests
Author / Creator:Christie, Jaryd R. ; Daher, Omar ; Abdelrazek, Mohamed ; Romine, Perrin E. ; Malthaner, Richard A. ; Qiabi, Mehdi ; Nayak, Rahul ; Napel, Sandy ; Nair, Viswam S. ; Mattonen, Sarah A.
Publisher:Society of Photo-Optical Instrumentation Engineers
Journal title:Journal of medical imaging (Bellingham, Wash.), 2022-11, Vol.9 (6), p.066001-066001
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Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance
Author / Creator:Roos, Justus E. ; Paik, David ; Olsen, David ; Liu, Emily G. ; Chow, Lawrence C. ; Leung, Ann N. ; Mindelzun, Robert ; Choudhury, Kingshuk R. ; Naidich, David P. ; Napel, Sandy ; Rubin, Geoffrey D.
Publisher:Berlin/Heidelberg: Springer-Verlag
Journal title:European radiology, 2010-03, Vol.20 (3), p.549-557
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bmj-2024-081554.R1FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare
Author / Creator:Lekadir, Karim ; Frangi, Alejandro F ; Porras, Antonio R ; Glocker, Ben ; Cintas, Celia ; Langlotz, Curtis P ; Weicken, Eva ; Asselbergs, Folkert W ; Prior, Fred ; Collins, Gary S ; Kaissis, Georgios ; Tsakou, Gianna ; Buvat, Irène ; Kalpathy-Cramer, Jayashree ; Mongan, John ; Schnabel, Julia A ; Kushibar, Kaisar ; Riklund, Katrine ; Marias, Kostas ; Amugongo, Lameck M ; Fromont, Lauren A ; Maier-Hein, Lena ; Cerdá-Alberich, Leonor ; Martí-Bonmatí, Luis ; Cardoso, M Jorge ; Bobowicz, Maciej ; Shabani, Mahsa ; Tsiknakis, Manolis ; Zuluaga, Maria A ; Fritzsche, Marie-Christine ; Camacho, Marina ; Linguraru, Marius George ; Wenzel, Markus ; De Bruijne, Marleen ; Tolsgaard, Martin G ; Goisauf, Melanie ; Cano Abadía, Mónica ; Papanikolaou, Nikolaos ; Lazrak, Noussair ; Pujol, Oriol ; Osuala, Richard ; Napel, Sandy ; Colantonio, Sara ; Joshi, Smriti ; Klein, Stefan ; Aussó, Susanna ; Rogers, Wendy A ; Salahuddin, Zohaib ; Starmans, Martijn P A ; Feragen, Aasa ; Fofanah, Abdul Joseph ; Buyx, Alena ; Emelie, Anais ; Lara, Andrea ; Chan, An-Wen ; Navarro, Arcadi ; Botwe, Benard O ; Khanal, Bishesh ; Beger, Brigit ; Wu, Carol C ; Rueckert, Daniel ; Mzurikwao, Deogratias ; Fotiadis, Dimitrios I ; Zhussupov, Doszhan ; Ferrante, Enzo ; Meijering, Erik ; González, Fabio A ; Krestin, Gabriel P ; Tegenaw, Geletaw S ; Misuraca, Gianluca ; Dwivedi, Girish ; Kondylakis, Haridimos ; Jayakody, Harsha ; Woodruf, Henry C ; Mayer, Horst Joachim ; Aerts, Hugo JWL ; Walsh, Ian ; Chouvarda, Ioanna ; Tributsch, Isabell ; Rekik, Islem ; Duncan, James ; Zahir, Jihad ; Park, Jinah ; Gichoya, Judy W ; Mori, Kensaku ; Rittner, Leticia ; Phiri, Lighton ; Marrakchi-Kacem, Linda ; Donoso-Bach, Lluís ; Bielikova, Maria ; Ghassemi, Marzyeh ; Ashrafuzzaman, Md ; Yaqub, Mohammad ; Mahmoud, Mukhtar M E ; Elattar, Mustafa ; Rieke, Nicola ; Díaz, Oliver ; Salvado, Olivier ; Sall, Ousmane
Publisher:BMJ Publishing Group Ltd
Journal title:BMJ (Online), 2025-02, Vol.388
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A Shallow Convolutional Neural Network Predicts Prognosis of Lung Cancer Patients in Multi-Institutional CT-Image Data
Author / Creator:Mukherjee, Pritam ; Zhou, Mu ; Lee, Edward ; Schicht, Anne ; Balagurunathan, Yoganand ; Napel, Sandy ; Gillies, Robert ; Wong, Simon ; Thieme, Alexander ; Leung, Ann ; Gevaert, Olivier
Publisher:England
Journal title:Nature machine intelligence, 2020-05, Vol.2 (5), p.274-282
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Content-Based Image Retrieval in Radiology: Current Status and Future Directions
Author / Creator:Akgül, Ceyhun Burak ; Rubin, Daniel L. ; Napel, Sandy ; Beaulieu, Christopher F. ; Greenspan, Hayit ; Acar, Burak
Publisher:New York: Springer-Verlag
Journal title:Journal of digital imaging, 2011-04, Vol.24 (2), p.208-222
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"Flying Through" and "Flying Around" a PET/CT Scan: Pilot Study and Development of 3D Integrated ^sup 18^F-FDG PET/CT for Virtual Bronchoscopy and Colonoscopy
Author / Creator:Quon, Andrew ; Napel, Sandy ; Beaulieu, Christopher F ; Gambhir, Sanjiv S
Publisher:New York: Society of Nuclear Medicine
Journal title:The Journal of nuclear medicine (1978), 2006-07, Vol.47 (7), p.1081
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Napel, Sandy

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Napel, Sandy

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Artificial intelligence and machine learning in cancer imaging

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Magnetic resonance imaging and molecular features associated with tumor-infiltrating lymphocytes in breast cancer

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Predictive radiogenomics modeling of EGFR mutation status in lung cancer

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A radiogenomic dataset of non-small cell lung cancer

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A shallow convolutional neural network predicts prognosis of lung cancer patients in multi-institutional computed tomography image datasets

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Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images

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A Comparison of Lung Nodule Segmentation Algorithms: Methods and Results from a Multi-institutional Study

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Managing Biomedical Image Metadata for Search and Retrieval of Similar Images

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A Comprehensive Descriptor of Shape: Method and Application to Content-Based Retrieval of Similar Appearing Lesions in Medical Images

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Machine-Learning Approach to Differentiation of Benign and Malignant Peripheral Nerve Sheath Tumors: A Multicenter Study

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Modeling Perceptual Similarity Measures in CT Images of Focal Liver Lesions

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Performance of alternative manual and automated deep learning segmentation techniques for the prediction of benign and malignant lung nodules

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Predicting recurrence risks in lung cancer patients using multimodal radiomics and random survival forests

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Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance

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bmj-2024-081554.R1FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

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A Shallow Convolutional Neural Network Predicts Prognosis of Lung Cancer Patients in Multi-Institutional CT-Image Data

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Content-Based Image Retrieval in Radiology: Current Status and Future Directions

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"Flying Through" and "Flying Around" a PET/CT Scan: Pilot Study and Development of 3D Integrated ^sup 18^F-FDG PET/CT for Virtual Bronchoscopy and Colonoscopy

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