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Sandy Napel

Active 1978–2025

135
Papers
22,246
Citations
70
h-index
117
i10-index

Citations

Citations per year for Sandy Napel1926: 1 citations1971: 1 citations1979: 1 citations1980: 2 citations1981: 1 citations1982: 1 citations1983: 1 citations1984: 7 citations1985: 5 citations1986: 4 citations1987: 1 citations1988: 2 citations1989: 4 citations1990: 2 citations1991: 2 citations1992: 4 citations1993: 10 citations1994: 21 citations1995: 42 citations1996: 69 citations1997: 69 citations1998: 111 citations1999: 117 citations2000: 151 citations2001: 146 citations2002: 133 citations2003: 142 citations2004: 152 citations2005: 156 citations2006: 139 citations2007: 168 citations2008: 152 citations2009: 123 citations2010: 146 citations2011: 97 citations2012: 115 citations2013: 128 citations2014: 170 citations2015: 196 citations2016: 214 citations2017: 212 citations2018: 258 citations2019: 562 citations2020: 827 citations2021: 1,165 citations2022: 1,109 citations2023: 1,172 citations2024: 1,560 citations2025: 1,225 citations2026: 367 citations2027: 1 citations1927–1970: no citations, so these years are not shown1972–1978: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,968 citing papers, 21.1% of this breakdownChina: 2,805 citing papers, 19.9% of this breakdownUnited Kingdom: 846 citing papers, 6% of this breakdownGermany: 774 citing papers, 5.5% of this breakdownItaly: 590 citing papers, 4.2% of this breakdownCanada: 546 citing papers, 3.9% of this breakdownNetherlands: 490 citing papers, 3.5% of this breakdownFrance: 487 citing papers, 3.5% of this breakdownIndia: 365 citing papers, 2.6% of this breakdownSwitzerland: 297 citing papers, 2.1% of this breakdownAustralia: 295 citing papers, 2.1% of this breakdownSouth Korea: 266 citing papers, 1.9% of this breakdown
0%21.1%Other 23.7%

Institutions

Fields

  • Medicine56.1%
  • Computer Science32.1%
  • Engineering4.7%
  • Neuroscience2.7%
  • Biochemistry, Genetics and Molecular Biology2.1%
  • Physics and Astronomy0.8%
  • Other1.5%

Topics

  • Radiomics and Machine Learning in Medical Imaging13.8%
  • Medical Image Segmentation Techniques7.2%
  • AI in cancer detection5.9%
  • Advanced Neural Network Applications5.5%
  • Medical Imaging Techniques and Applications3.2%
  • Lung Cancer Diagnosis and Treatment3.1%
  • Other61.3%

Coauthors

All papers

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  1. Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

    Authors: Olivier Bernard, Alain Lalande, Clément Zotti, Frederic Cervenansky, Xin Yang, Pheng-Ann Heng, Irem Cetin, Karim Lekadir, Oscar Camara, Miguel Ángel González Ballester, Gerard Sanroma, Sandy Napel, Steffen E. Petersen, Georgios Tziritas, Elias Grinias, Mahendra Khened, Alex Varghese, Ganapathy Krishnamurthi, Marc-Michel Rohé, Xavier Pennec, Maxime Sermesant, Fabian Isensee, Paul Jäger, Klaus H. Maier-Hein, Peter M. Full, Ivo Wolf, Sandy Engelhardt, Christian F. Baumgartner, Lisa M. Koch, Jelmer M. Wolterink, Ivana Isgum, Yeonggul Jang, Yoonmi Hong, Jay Patravali, Shubham Jain, Olivier Humbert, Pierre-Marc Jodoin - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2018 cited by 2,256

  2. The Medical Segmentation Decathlon

    Authors: Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp‐Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard Kinh Gian, Marc J. Gollub, Stephan Heckers, Henkjan Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer S. Golia Pernicka, Kawal Rhode, Catalina Tobon‐Gomez, Eugene Vorontsov, James Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Ildoo Kim, Klaus Maier‐Hein, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, R. Rezaiifar, Oliver Rippel, Ignacio Sarasúa, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier‐Hein, M. Jorge Cardoso - Nature Communications 2022 cited by 1,202

  3. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping

    Authors: Alex Zwanenburg, Martin Vallières, Mahmoud A. Abdalah, Hugo J.W.L. Aerts, Vincent Andrearczyk, Aditya Apte, Saeed Ashrafinia, Spyridon Bakas, Roelof J. Beukinga, Ronald Boellaard, Marta Bogowicz, Luca Boldrini, Irène Buvat, Gary Cook, Christos Davatzikos, Adrien Depeursinge, Marie-Charlotte Desseroit, N. Dinapoli, Cuong V. Dinh, Sebastian Echegaray, Issam El Naqa, Andriy Fedorov, Roberto Gatta, Robert J. Gillies, Vicky Goh, Michael Goetz, Matthias Gückenberger, Sung Min Ha, Mathieu Hatt, Fabian Isensee, Philippe Lambin, Stefan Leger, Ralph T. H. Leijenaar, Jacopo Lenkowicz, Fiona Lippert, Are Losnegård, Klaus Maier‐Hein, Olivier Morin, Henning Müller, Sandy Napel, Christophe Nioche, Fanny Orlhac, Sarthak Pati, Elisabeth Pfaehler, Arman Rahmim, Arvind U K Rao, Jonas Scherer, Muhammad Musib Siddique, Nanna M. Sijtsema, Jairo Socarras Fernandez, Emiliano Spezi, Roel J.H.M. Steenbakkers, Stephanie Tanadini‐Lang, Daniela Thorwarth, Esther G.C. Troost, Taman Upadhaya, Vincenzo Valentini, Lisanne V. van Dijk, Joost J. M. van Griethuysen, Floris H. P. van Velden, P. Whybra, Christian Richter, Steffen Löck - Radiology 2020 cited by 3,876

  4. A large annotated medical image dataset for the development and evaluation of segmentation algorithms

    Authors: Amber L. Simpson, Michela Antonelli, Spyridon Bakas, Michel Bilello, Keyvan Farahani, Bram van Ginneken, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Jennifer Golia-Pernicka, Stephan Heckers, William R. Jarnagin, Maureen McHugo, Sandy Napel, Eugene Vorontsov, Lena Maier-Hein, M. Jorge Cardoso - arXiv (Cornell University), CoRR 2019 cited by 748

  5. Artificial intelligence and machine learning in cancer imaging

    Authors: Dow‐Mu Koh, Nickolas Papanikolaou, Ulrich Bick, Rowland Illing, Charles E. Kahn, Jayshree Kalpathi-Cramer, Celso Matos, Luis Martí‐Bonmatí, Anne Miles, Seong K. Mun, Sandy Napel, Andrea Rockall, Evis Sala, Nicola H. Strickland, Fred Prior - Communications Medicine 2022 cited by 305

  6. FUTURE-AI: international consensus guideline for trustworthy and deployable artificial intelligence in healthcare

    Authors: Karim Lekadir, Alejandro F. Frangi, Antonio R. Porras, Ben Glocker, Celia Cintas, Curtis P. Langlotz, Eva Weicken, Folkert W. Asselbergs, Fred Prior, Gary S. Collins, Georgios Kaissis, Gianna Tsakou, Irène Buvat, Jayashree Kalpathy-Cramer, John Mongan, Julia A. Schnabel, Kaisar Kushibar, Katrine Riklund, Kostas Marias, Lameck Mbangula Amugongo, Lauren A. Fromont, Lena Maier-Hein, Leonor Cerdá-Alberich, Luis Martí‐Bonmatí, M. Jorge Cardoso, Maciej Bobowicz, Mahsa Shabani, Manolis Tsiknakis, María A. Zuluaga, Marie-Christine Fritzsche, Marina Camacho, Marius George Linguraru, Markus Wenzel, Marleen de Bruijne, Martin G. Tolsgaard, Melanie Goisauf, Mónica Cano Abadía, Nikolaos Papanikolaou, Noussair Lazrak, Oriol Pujol, Richard Osuala, Sandy Napel, Sara Colantonio, Smriti Joshi, Stefan Klein, Susanna Aussó, Wendy Rogers, Zohaib Salahuddin, Martijn P. A. Starmans - BMJ 2025 cited by 348

  7. A radiogenomic dataset of non-small cell lung cancer

    Authors: Shaimaa Bakr, Olivier Gevaert, Sebastian Echegaray, Kelsey Ayers, Mu Zhou, Mājid Shafiq, Hong Zheng, Jalen Benson, Weiruo Zhang, Ann N. Leung, Michel Kadoch, Chuong D. Hoang, Joseph B. Shrager, Andrew Quon, Daniel L. Rubin, Sylvia K. Plevritis, Sandy Napel - Scientific Data 2018 cited by 315

  8. Intratumoral Spatial Heterogeneity at Perfusion MR Imaging Predicts Recurrence-free Survival in Locally Advanced Breast Cancer Treated with Neoadjuvant Chemotherapy

    Authors: Jia Wu, Guohong Cao, Xiaoli Sun, Juheon Lee, Daniel L. Rubin, Sandy Napel, Allison W. Kurian, Bruce L. Daniel, Ruijiang Li - Radiology 2018 cited by 209

  9. Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats

    Authors: Sandy Napel, Wei Mu, Bruna V. Jardim‐Perassi, Hugo J.W.L. Aerts, Robert J. Gillies - Cancer 2018 cited by 215

  10. Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches

    Authors: Mu Zhou, Jacob G. Scott, Baishali Chaudhury, Lawrence Hall, Dmitry B. Goldgof, Kristen W. Yeom, Michael Iv, Yangming Ou, Jayashree Kalpathy–Cramer, Sandy Napel, Robert J. Gillies, Olivier Gevaert, Robert A. Gatenby - American Journal of Neuroradiology 2017 cited by 423

  11. The Medical Segmentation Decathlon

    Authors: Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, AnnetteKopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard Kinh Gian, Marc J. Gollub, Stephan Heckers, Henkjan Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer S. Goli Pernicka, Kawal Rhode, Catalina Tobon‐Gomez, Eugene Vorontsov, Henkjan Huisman, James Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, R. Rezaiifar, Oliver Rippel, Ignacio Sarasúa, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier‐Hein, M. Jorge Cardoso - arXiv (Cornell University), CoRR 2021 cited by 101

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

    Authors: Pritam Mukherjee, Mu Zhou, Edward Lee, Anne Schicht, Yoganand Balagurunathan, Sandy Napel, Robert J. Gillies, Simon Wong, Alexander Thieme, Ann N. Leung, Olivier Gevaert - Nature Machine Intelligence, Nat. Mach. Intell. 2020 cited by 100

  13. Non–Small Cell Lung Cancer: Identifying Prognostic Imaging Biomarkers by Leveraging Public Gene Expression Microarray Data—Methods and Preliminary Results

    Authors: Olivier Gevaert, Jiajing Xu, Chuong D. Hoang, Ann N. Leung, Yue Xu, Andrew Quon, Daniel L. Rubin, Sandy Napel, Sylvia K. Plevritis - Radiology 2012 cited by 411

  14. Non–Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications

    Authors: Mu Zhou, Ann N. Leung, Sebastian Echegaray, Andrew J. Gentles, Joseph B. Shrager, Kristin C. Jensen, Gerald J. Berry, Sylvia K. Plevritis, Daniel L. Rubin, Sandy Napel, Olivier Gevaert - Radiology 2017 cited by 193

  15. GFPT2 -Expressing Cancer-Associated Fibroblasts Mediate Metabolic Reprogramming in Human Lung Adenocarcinoma

    Authors: Weiruo Zhang, Gina Bouchard, Alice Yu, Mājid Shafiq, Mehran Jamali, Joseph B. Shrager, Kelsey Ayers, Shaimaa Bakr, Andrew J. Gentles, Maximilian Diehn, Andrew Quon, Robert B. West, Viswam S. Nair, Matt van de Rijn, Sandy Napel, Sylvia K. Plevritis - Cancer Research 2018 cited by 119

  16. A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound

    Authors: Karim Lekadir, Alfiia Galimzianova, Àngels Betriu, Maria del Mar Vila, Laura Igual, Daniel L. Rubin, Elvira Fernández, Petia Radeva, Sandy Napel - IEEE Journal of Biomedical and Health Informatics, IEEE J. Biomed. Health Informatics 2016 cited by 207

  17. Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions

    Authors: Ilke Tunali, Lawrence Hall, Sandy Napel, Dmitry Cherezov, Albert Güveniş, Robert J. Gillies, Matthew B. Schabath - Medical Physics 2019 cited by 80

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

    Authors: Ceyhun Burak Akgül, Daniel L. Rubin, Sandy Napel, Christopher F. Beaulieu, Hayit Greenspan, Burak Acar - Journal of Digital Imaging, J. Digit. Imaging 2010 cited by 389

  19. Lung Nodule Malignancy Prediction in Sequential CT Scans: Summary of ISBI 2018 Challenge

    Authors: Yoganand Balagurunathan, Andrew Beers, Michael F. McNitt-Gray, Lubomir M. Hadjiiski, Sandy Napel, Dmitry B. Goldgof, Gustavo Pérez, Pablo Arbeláez, Alireza Mehrtash, Tina Kapur, Ehwa Yang, Jung Won Moon, Gabriel Bernardino Perez, Ricard Delgado-Gonzalo, Mohammad Mehdi Farhangi, Amir A. Amini, Renkun Ni, Xue Feng, Aditya Bagari, Kiran Vaidhya, Benjamin Veasey, Wiem Safta, Hichem Frigui, Joseph Enguehard, Ali Gholipour, Laura Silvana Castillo, Laura Alexandra Daza, Paul F. Pinsky, Jayashree Kalpathy-Cramer, Keyvan Farahani - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2021 cited by 38

  20. Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features

    Authors: Olivier Gevaert, Lex A. Mitchell, Achal S. Achrol, Jiajing Xu, Sebastian Echegaray, Gary K. Steinberg, Samuel Cheshier, Sandy Napel, Greg Zaharchuk, Sylvia K. Plevritis - Radiology 2014 cited by 320

  21. Heterogeneous Enhancement Patterns of Tumor-adjacent Parenchyma at MR Imaging Are Associated with Dysregulated Signaling Pathways and Poor Survival in Breast Cancer

    Authors: Jia Wu, Bailiang Li, Xiaoli Sun, Guohong Cao, Daniel L. Rubin, Sandy Napel, Debra M. Ikeda, Allison W. Kurian, Ruijiang Li - Radiology 2017 cited by 123

  22. Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities

    Authors: Haruka Itakura, Achal S. Achrol, Lex A. Mitchell, Joshua Loya, Tiffany Liu, Erick M. Westbroek, Abdullah Feroze, Scott Rodriguez, Sebastian Echegaray, Tej D. Azad, Kristen W. Yeom, Sandy Napel, Daniel L. Rubin, Steven D. Chang, Griffith R. Harsh, Olivier Gevaert - Science Translational Medicine 2015 cited by 272

  23. Radiomics Signatures of Cardiovascular Risk Factors in Cardiac MRI: Results From the UK Biobank

    Authors: Irem Cetin, Zahra Raisi‐Estabragh, Steffen E. Petersen, Sandy Napel, Stefan K. Piechnik, Stefan Neubauer, Miguel Á. González Ballester, Óscar Cámara, Karim Lekadir - Frontiers in Cardiovascular Medicine 2020 cited by 60

  24. Robust Intratumor Partitioning to Identify High-Risk Subregions in Lung Cancer: A Pilot Study

    Authors: Jia Wu, Michael F. Gensheimer, Xinzhe Dong, Daniel L. Rubin, Sandy Napel, Maximilian Diehn, Billy W. Loo, Ruijiang Li - International Journal of Radiation Oncology*Biology*Physics 2016 cited by 92