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Perry J. Pickhardt

Active 1997–2026

258
Papers
29,561
Citations
94
h-index
217
i10-index

Citations

Citations per year for Perry J. Pickhardt1926: 1 citations1943: 1 citations1993: 1 citations1995: 2 citations1996: 1 citations1997: 10 citations1998: 1 citations1999: 1 citations2000: 5 citations2001: 2 citations2002: 4 citations2003: 14 citations2004: 46 citations2005: 74 citations2006: 97 citations2007: 150 citations2008: 213 citations2009: 225 citations2010: 242 citations2011: 205 citations2012: 224 citations2013: 180 citations2014: 210 citations2015: 198 citations2016: 194 citations2017: 172 citations2018: 188 citations2019: 632 citations2020: 833 citations2021: 863 citations2022: 827 citations2023: 741 citations2024: 1,187 citations2025: 577 citations2026: 63 citations1927–1942: no citations, so these years are not shown1944–1992: no citations, so these years are not shown1994: no citations, so this year is not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,250 citing papers, 28.2% of this breakdownChina: 1,044 citing papers, 13.1% of this breakdownUnited Kingdom: 433 citing papers, 5.4% of this breakdownGermany: 411 citing papers, 5.1% of this breakdownItaly: 356 citing papers, 4.5% of this breakdownCanada: 285 citing papers, 3.6% of this breakdownSouth Korea: 284 citing papers, 3.6% of this breakdownJapan: 230 citing papers, 2.9% of this breakdownNetherlands: 228 citing papers, 2.8% of this breakdownFrance: 206 citing papers, 2.6% of this breakdownIndia: 171 citing papers, 2.1% of this breakdownSpain: 161 citing papers, 2% of this breakdown
0%28.2%Other 24.1%

Institutions

Fields

  • Medicine78.1%
  • Computer Science8%
  • Engineering6.3%
  • Biochemistry, Genetics and Molecular Biology4%
  • Neuroscience0.5%
  • Health Professions0.5%
  • Other2.6%

Topics

  • Colorectal Cancer Screening and Detection8.6%
  • Radiomics and Machine Learning in Medical Imaging7.2%
  • AI in cancer detection3.4%
  • Advanced X-ray and CT Imaging3.2%
  • Gastric Cancer Management and Outcomes2.4%
  • Bone health and osteoporosis research2.4%
  • Other72.8%

Coauthors

All papers

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  1. Data augmentation using generative adversarial networks (CycleGAN) to improve generalizability in CT segmentation tasks

    Authors: Veit Sandfort, Ke Yan, Perry J. Pickhardt, Ronald M. Summers - Scientific Reports 2019 cited by 683

  2. Opportunistic Screening for Osteoporosis Using Abdominal Computed Tomography Scans Obtained for Other Indications

    Authors: Perry J. Pickhardt, B. Dustin Pooler, Travis Lauder, Alejandro Muñoz del Río, Richard J. Bruce, Neil Binkley - Annals of Internal Medicine 2013 cited by 899

  3. Quantification of Liver Fat Content with CT and MRI: State of the Art

    Authors: Jitka Starekova, Diego Hernando, Perry J. Pickhardt, Scott B. Reeder - Radiology 2021 cited by 285

  4. Value-added Opportunistic CT Screening: State of the Art

    Authors: Perry J. Pickhardt - Radiology 2022 cited by 214

  5. Opportunistic Osteoporosis Screening at Routine Abdominal and Thoracic CT: Normative L1 Trabecular Attenuation Values in More than 20 000 Adults

    Authors: Samuel Jang, Peter M. Graffy, Timothy J. Ziemlewicz, Scott Lee, Ronald M. Summers, Perry J. Pickhardt - Radiology 2019 cited by 332

  6. Opportunistic Screening Using Low-Dose CT and the Prevalence of Osteoporosis in China: A Nationwide, Multicenter Study

    Authors: Xiaoguang Cheng, Kaiping Zhao, Xiaojuan Zha, Xia Du, Yongli Li, Shuang Chen, Yan Wu, Shaolin Li, Yong Lü, Yuqin Zhang, Xigang Xiao, Yuehua Li, Xiao Ma, Xiangyang Gong, Wei Chen, Ying‐Ying Yang, Jun Jiao, Bairu Chen, Yinru Lv, Jianbo Gao, Guobin Hong, Yaling Pan, Yan Yan, Huijuan Qi, Limei Ran, Jian Zhai, Ling Wang, Kai Li, Haihong Fu, Jing Wu, Shiwei Liu, Glen M. Blake, Perry J. Pickhardt, Yuanzheng Ma, Xiaoxia Fu, Sheng-Yong Dong, Qiang Zeng, Zhiping Guo, Karen Hind, Klaus Engelke, Wei Tian, For the China Health Big Data (China Biobank) project investigators - Journal of Bone and Mineral Research 2020 cited by 228

  7. A deep learning system for automated kidney stone detection and volumetric segmentation on noncontrast CT scans

    Authors: Daniel C. Elton, Evrim Türkbey, Perry J. Pickhardt, Ronald M. Summers - Medical Physics 2022 cited by 125

  8. CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges

    Authors: Meghan G. Lubner, Andrew D. Smith, Kumar Sandrasegaran, Dushyant V. Sahani, Perry J. Pickhardt - Radiographics 2017 cited by 788

  9. Opportunistic Screening: Radiology Scientific Expert Panel

    Authors: Perry J. Pickhardt, Ronald M. Summers, John W. Garrett, Arun Krishnaraj, Sheela Agarwal, Keith J. Dreyer, Gregory N. Nicola - Radiology 2023 cited by 106

  10. AI-based CT Body Composition Identifies Myosteatosis as Key Mortality Predictor in Asymptomatic Adults

    Authors: Maxime Nachit, Yves Horsmans, Ronald M. Summers, Isabelle Leclercq, Perry J. Pickhardt - Radiology 2023 cited by 114

  11. Opportunistic Screening at Abdominal CT: Use of Automated Body Composition Biomarkers for Added Cardiometabolic Value

    Authors: Perry J. Pickhardt, Peter M. Graffy, Alberto A. Perez, Meghan G. Lubner, Daniel C. Elton, Ronald M. Summers - Radiographics 2021 cited by 132

  12. Automated CT biomarkers for opportunistic prediction of future cardiovascular events and mortality in an asymptomatic screening population: a retrospective cohort study

    Authors: Perry J. Pickhardt, Peter M. Graffy, Ryan Zea, Scott Lee, Jiamin Liu, Veit Sandfort, Ronald M. Summers - The Lancet Digital Health 2020 cited by 196

  13. Screening and Surveillance for the Early Detection of Colorectal Cancer and Adenomatous Polyps, 2008: A Joint Guideline From the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology

    Authors: Bernard Levin, David A. Lieberman, Beth G. McFarland, Kimberly Andrews, Durado Brooks, John H. Bond, Chiranjeev Dash, Francis M. Giardiello, Seth N. Glick, David H. Johnson, C. Daniel Johnson, Theodore R. Levin, Perry J. Pickhardt, Douglas K. Rex, Robert A. Smith, Alan G. Thorson, Sidney J. Winawer - Gastroenterology 2008 cited by 3,007

  14. Screening and Surveillance for the Early Detection of Colorectal Cancer and Adenomatous Polyps, 2008: A Joint Guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of Radiology

    Authors: B. Levin, David A. Lieberman, Bentson H. McFarland, R A Smith, Durado Brooks, Kimberly Andrews, Chiranjeev Dash, Francis M. Giardiello, S N Glick, Theodore R. Levin, Perry J. Pickhardt, Douglas K. Rex, Anna Thorson, Sidney J. Winawer - CA A Cancer Journal for Clinicians 2008 cited by 1,816

  15. Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment

    Authors: Peter M. Graffy, Jiamin Liu, Perry J. Pickhardt, Joseph E. Burns, Jianhua Yao, Ronald M. Summers - British Journal of Radiology 2019 cited by 130

  16. Improved CT-based Osteoporosis Assessment with a Fully Automated Deep Learning Tool

    Authors: Perry J. Pickhardt, Thắng Việt Nguyễn, Alberto A. Perez, Peter M. Graffy, Samuel Jang, Ronald M. Summers, John W. Garrett - Radiology Artificial Intelligence 2022 cited by 68

  17. Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment

    Authors: Peter M. Graffy, Veit Sandfort, Ronald M. Summers, Perry J. Pickhardt - Radiology 2019 cited by 140

  18. Deep learning–based fully automated detection and segmentation of lymph nodes on multiparametric-mri for rectal cancer: A multicentre study

    Authors: Xingyu Zhao, Peiyi Xie, Mengmeng Wang, Wenjun Li, Perry J. Pickhardt, Wei Xia, Fei Xiong, Rui Zhang, Yao Xie, Junming Jian, Honglin Bai, Caifang Ni, Jinhui Gu, Tao Yu, Yuguo Tang, Xin Gao, Xiaochun Meng - EBioMedicine 2020 cited by 96

  19. Accuracy of Liver Fat Quantification With Advanced CT, MRI, and Ultrasound Techniques: Prospective Comparison With MR Spectroscopy

    Authors: Harald Kramer, Perry J. Pickhardt, Mark A. Kliewer, Diego Hernando, Guang‐Hong Chen, James A. Zagzebski, Scott B. Reeder - American Journal of Roentgenology 2016 cited by 252

  20. Use of magnetic resonance imaging in rectal cancer patients: Society of Abdominal Radiology (SAR) rectal cancer disease-focused panel (DFP) recommendations 2017

    Authors: Marc J. Gollub, Supreeta Arya, Regina G. H. Beets‐Tan, Gregory dePrisco, Mithat Gönen, Kartik Jhaveri, Zahra Kassam, Harmeet Kaur, David D. Kim, Andrea Knežević, Elena Korngold, Chandana Lall, Neeraj Lalwani, D. Blair Macdonald, Courtney C. Moreno, Stéphanie Nougaret, Perry J. Pickhardt, Shannon P. Sheedy, Mukesh G. Harisinghani - Abdominal Radiology 2018 cited by 171

  21. Effect of IV contrast on lumbar trabecular attenuation at routine abdominal CT: correlation with DXA and implications for opportunistic osteoporosis screening

    Authors: Perry J. Pickhardt, Travis Lauder, B. Dustin Pooler, Alejandro Muñoz del Río, Humberto G. Rosas, Richard J. Bruce, Neil Binkley - Osteoporosis International 2015 cited by 136

  22. Quantification of Liver Fat Content With Unenhanced MDCT: Phantom and Clinical Correlation With MRI Proton Density Fat Fraction

    Authors: Perry J. Pickhardt, Peter M. Graffy, Scott B. Reeder, Diego Hernando, Ke Li - American Journal of Roentgenology 2018 cited by 129

  23. Automated Abdominal CT Imaging Biomarkers for Opportunistic Prediction of Future Major Osteoporotic Fractures in Asymptomatic Adults

    Authors: Perry J. Pickhardt, Peter M. Graffy, Ryan Zea, Scott Lee, Jiamin Liu, Veit Sandfort, Ronald M. Summers - Radiology 2020 cited by 126

  24. 3D-GLCM CNN: A 3-Dimensional Gray-Level Co-Occurrence Matrix-Based CNN Model for Polyp Classification via CT Colonography

    Authors: Jiaxing Tan, Yongfeng Gao, Zhengrong Liang, Weiguo Cao, Marc Jason Pomeroy, Yumei Huo, Lihong Li, Matthew A. Barish, Almas F. Abbasi, Perry J. Pickhardt - IEEE Transactions on Medical Imaging, IEEE Trans. Medical Imaging 2019 cited by 117