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Constance D. Lehman

Active 1995–2024

Also published as
Constance D Lehman
143
Papers
21,709
Citations
82
h-index
142
i10-index

Citations

Citations per year for Constance D. Lehman1967: 1 citations1983: 1 citations1993: 1 citations1994: 2 citations1995: 3 citations1996: 1 citations1997: 1 citations1998: 1 citations1999: 4 citations2000: 8 citations2001: 13 citations2002: 13 citations2003: 8 citations2004: 6 citations2005: 17 citations2006: 31 citations2007: 75 citations2008: 129 citations2009: 155 citations2010: 160 citations2011: 137 citations2012: 161 citations2013: 172 citations2014: 190 citations2015: 197 citations2016: 197 citations2017: 250 citations2018: 235 citations2019: 774 citations2020: 807 citations2021: 799 citations2022: 646 citations2023: 618 citations2024: 706 citations2025: 375 citations2026: 55 citations1968–1982: no citations, so these years are not shown1984–1992: no citations, so these years are not shown

Citation sources

Countries

World map of the countries and regions citing this authorUnited States: 2,410 citing papers, 33.6% of this breakdownChina: 569 citing papers, 7.9% of this breakdownUnited Kingdom: 406 citing papers, 5.7% of this breakdownItaly: 304 citing papers, 4.2% of this breakdownGermany: 284 citing papers, 4% of this breakdownCanada: 249 citing papers, 3.5% of this breakdownNetherlands: 245 citing papers, 3.4% of this breakdownSouth Korea: 197 citing papers, 2.7% of this breakdownAustralia: 163 citing papers, 2.3% of this breakdownIndia: 154 citing papers, 2.1% of this breakdownFrance: 147 citing papers, 2.1% of this breakdownJapan: 147 citing papers, 2% of this breakdown
0%33.6%Other 26.5%

Institutions

Fields

  • Medicine59.6%
  • Computer Science18.8%
  • Biochemistry, Genetics and Molecular Biology15.6%
  • Engineering2%
  • Health Professions0.7%
  • Neuroscience0.6%
  • Other2.7%

Topics

  • AI in cancer detection12%
  • Radiomics and Machine Learning in Medical Imaging9.2%
  • MRI in cancer diagnosis7.5%
  • Digital Radiography and Breast Imaging7.4%
  • Breast Cancer Treatment Studies7.4%
  • Global Cancer Incidence and Screening6%
  • Other50.5%

Coauthors

All papers

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  1. A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

    Authors: Adam Yala, Constance D. Lehman, Tal Schuster, Tally Portnoi, Regina Barzilay - Radiology 2019 cited by 735

  2. Diagnostic Accuracy of Digital Screening Mammography With and Without Computer-Aided Detection

    Authors: Constance D. Lehman, Robert Wellman, Diana S.M. Buist, Karla Kerlikowske, Anna N.A. Tosteson, Diana L. Miglioretti - JAMA Internal Medicine 2015 cited by 674

  3. National Performance Benchmarks for Modern Screening Digital Mammography: Update from the Breast Cancer Surveillance Consortium

    Authors: Constance D. Lehman, Robert F. Arao, Brian L. Sprague, Janie M. Lee, Diana S.M. Buist, Karla Kerlikowske, Louise M. Henderson, Tracy Onega, Anna N.A. Tosteson, Garth H. Rauscher, Diana L. Miglioretti - Radiology 2016 cited by 665

  4. Toward robust mammography-based models for breast cancer risk

    Authors: Adam Yala, Peter G. Mikhael, Fredrik Strand, Gigin Lin, Kevin Smith, Yung‐Liang Wan, Leslie R. Lamb, Kevin S. Hughes, Constance D. Lehman, Regina Barzilay - Science Translational Medicine 2021 cited by 268

  5. Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model

    Authors: Adam Yala, Peter G. Mikhael, Fredrik Strand, Gigin Lin, Siddharth Satuluru, Thomas Kim, Imon Banerjee, Judy Wawira Gichoya, Hari Trivedi, Constance D. Lehman, Kevin S. Hughes, David J. Sheedy, Lisa M. Matthis, Bipin Karunakaran, Karen E. Hegarty, Silvia Maria Prioli de Souza Sabino, Thiago Buosi Silva, Maria C. Evangelista, Renato F. Caron, Bruno Souza, Edmundo Carvalho Mauad, Tal Patalon, Sharon Handelman-Gotlib, Michal Guindy, Regina Barzilay - Journal of Clinical Oncology 2021 cited by 187

  6. Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis

    Authors: Jung Hyun Yoon, Fredrik Strand, Pascal Baltzer, Emily F. Conant, Fiona J. Gilbert, Constance D. Lehman, Elizabeth A. Morris, Lisa A. Mullen, Robert M. Nishikawa, Nisha Sharma, Ilse Vejborg, Linda Moy, Ritse M. Mann - Radiology 2023 cited by 173

  7. American Cancer Society Guidelines for Breast Screening with MRI as an Adjunct to Mammography

    Authors: Debbie Saslow, C. Boetes, Wylie Burke, S.E. Harms, Martin O. Leach, Constance D. Lehman, Elizabeth A. Morris, Etta D. Pisano, Mitchell D. Schnall, S.F. Sener, Robert A. Smith, Elizabeth Warner, Yaffe Mj, Kimberly Andrews, Christy Russell, for the American Cancer Society Breast Cancer Advisory Group - CA A Cancer Journal for Clinicians 2007 cited by 2,648

  8. Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

    Authors: Constance D. Lehman, Adam Yala, Tal Schuster, Brian N. Dontchos, Manisha Bahl, Kyle Swanson, Regina Barzilay - Radiology 2018 cited by 289

  9. Optimizing risk-based breast cancer screening policies with reinforcement learning

    Authors: Adam Yala, Peter G. Mikhael, Constance D. Lehman, Gigin Lin, Fredrik Strand, Yung‐Liang Wan, Kevin S. Hughes, Siddharth Satuluru, Thomas Kim, Imon Banerjee, Judy Wawira Gichoya, Hari Trivedi, Regina Barzilay - Nature Medicine 2022 cited by 99

  10. Neoadjuvant Chemotherapy for Breast Cancer: Functional Tumor Volume by MR Imaging Predicts Recurrence-free Survival—Results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL

    Authors: Nola M. Hylton, Constantine Gatsonis, Mark Rosen, Constance D. Lehman, David C. Newitt, Savannah C. Partridge, Wanda K. Bernreuter, Etta D. Pisano, Elizabeth A. Morris, Paul T. Weatherall, Sandra M. Polin, Gillian M. Newstead, Helga S. Marques, Laura J. Esserman, Mitchell D. Schnall, For the ACRIN 6657 Trial Team and I-SPY 1 TRIAL Investigators - Radiology 2015 cited by 277

  11. A Deep Learning Model to Triage Screening Mammograms: A Simulation Study

    Authors: Adam Yala, Tal Schuster, Randy C. Miles, Regina Barzilay, Constance D. Lehman - Radiology 2019 cited by 211

  12. Breast Cancer Screening and Diagnosis, Version 3.2018, NCCN Clinical Practice Guidelines in Oncology

    Authors: Therese B. Bevers, Mark A. Helvie, Ermelinda Bonaccio, Kristine E. Calhoun, Mary B. Daly, William B. Farrar, Judy E. Garber, Richard J. Gray, Caprice C. Greenberg, Rachel A. Greenup, Nora Hansen, Randall E. Harris, Alexandra S. Heerdt, Teresa Helsten, Linda Hodgkiss, Tamarya L. Hoyt, John G. Huff, Lisa K. Jacobs, Constance D. Lehman, Barbara Monsees, Bethany L. Niell, Catherine Parker, Mark D. Pearlman, Liane E. Philpotts, Laura B. Shepardson, Mary Lou Smith, Matthew A. Stein, Lusine Tumyan, Cheryl Williams, Mary Anne Bergman, Rashmi Kumar - Journal of the National Comprehensive Cancer Network 2018 cited by 519

  13. Locally Advanced Breast Cancer: MR Imaging for Prediction of Response to Neoadjuvant Chemotherapy—Results from ACRIN 6657/I-SPY TRIAL

    Authors: Nola M. Hylton, Jeffrey D. Blume, Wanda K. Bernreuter, Etta D. Pisano, Mark Rosen, Elizabeth A. Morris, Paul T. Weatherall, Constance D. Lehman, Gillian M. Newstead, Sandra M. Polin, Helga S. Marques, Laura J. Esserman, Mitchell D. Schnall - Radiology 2012 cited by 489

  14. Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL

    Authors: Wen Li, David C. Newitt, Jessica Gibbs, Lisa J. Wilmes, Ella F. Jones, Vignesh A. Arasu, Fredrik Strand, Natsuko Onishi, Alex Nguyen, John Kornak, Bonnie N. Joe, Elissa R. Price, Haydee Ojeda‐Fournier, Mohammad Eghtedari, Kathryn Zamora, Stefanie Woodard, Heidi Umphrey, Wanda K. Bernreuter, Michael T. Nelson, An Church, Patrick J. Bolan, Theresa Kuritza, Kathleen Ward, Kevin Morley, Dulcy Wolverton, Kelly Fountain, Dan Lopez-Paniagua, Lara A. Hardesty, Kathy R. Brandt, Elizabeth S. McDonald, Mark Rosen, Despina Kontos, Hiroyuki Abé, Deepa Sheth, Erin P. Crane, Charlotte Dillis, Pulin Sheth, Linda Hovanessian‐Larsen, Dae Hee Bang, Bruce A. Porter, Karen Y. Oh, Neda Jafarian, Alina Tudorica, Bethany L. Niell, Jennifer S. Drukteinis, Mary S. Newell, Michael A. Cohen, Marina E. Giurescu, Elise Berman, Constance D. Lehman, Savannah C. Partridge, Kimberly A. Fitzpatrick, Marisa H. Borders, Wei Yang, Başak E. Doğan, Sally Goudreau, Thomas L. Chenevert, Christina Yau, Angela DeMichele, Don Berry, Laura J. Esserman, Nola M. Hylton - npj Breast Cancer 2020 cited by 82

  15. Identifying Women With Dense Breasts at High Risk for Interval Cancer

    Authors: Karla Kerlikowske, Weiwei Zhu, Anna N.A. Tosteson, Brian L. Sprague, Jeffrey A. Tice, Constance D. Lehman, Diana L. Miglioretti - Annals of Internal Medicine 2015 cited by 284

  16. Chemotherapy response and recurrence-free survival in neoadjuvant breast cancer depends on biomarker profiles: results from the I-SPY 1 TRIAL (CALGB 150007/150012; ACRIN 6657)

    Authors: The I-SPY 1 TRIAL Investigators, Laura J. Esserman, Donald A. Berry, Maggie C.U. Cheang, Christina Yau, Charles M. Perou, Lisa A. Carey, Angela DeMichele, Joe W. Gray, Kathleen Conway‐Dorsey, Marc E. Lenburg, Meredith Buxton, Sarah Davis, Laura J. van’t Veer, Clifford A. Hudis, Koei Chin, Denise M. Wolf, Helen Krontiras, Leslie L. Montgomery, Debu Tripathy, Constance D. Lehman, Minetta C. Liu, Olufunmilayo I. Olopade, Hope S. Rugo, John T. Carpenter, Chad Livasy, Lynn G. Dressler, David C. Chhieng, Baljit Singh, Carolyn Mies, Joseph T. Rabban, Yunni-Yi Chen, Dilip D. Giri, Alfred Au, Nola M. Hylton - Breast Cancer Research and Treatment 2011 cited by 376

  17. Variation in Mammographic Breast Density Assessments Among Radiologists in Clinical Practice

    Authors: Brian L. Sprague, Emily F. Conant, Tracy Onega, Michael P. Garcia, Elisabeth F. Beaber, Sally D. Herschorn, Constance D. Lehman, Anna N.A. Tosteson, Ronilda Lacson, Mitchell D. Schnall, Despina Kontos, Jennifer S. Haas, Donald L. Weaver, William E. Barlow - Annals of Internal Medicine 2016 cited by 201

  18. Pathologic Complete Response Predicts Recurrence-Free Survival More Effectively by Cancer Subset: Results From the I-SPY 1 TRIAL—CALGB 150007/150012, ACRIN 6657

    Authors: Laura J. Esserman, Donald A. Berry, Angela DeMichele, Lisa A. Carey, Sarah Davis, Meredith Buxton, C. Hudis, Joe W. Gray, Charles M. Perou, Christina Yau, Chad Livasy, Helen Krontiras, Leslie L. Montgomery, Debasish Tripathy, Constance D. Lehman, Minetta C. Liu, Olufunmilayo I. Olopade, Hope S. Rugo, John T. Carpenter, Lynn G. Dressler, David C. Chhieng, Baljit Singh, Carolyn Mies, Joseph T. Rabban, Yunn‐Yi Chen, Dilip D. Giri, Laura van ‘t Veer, Nola Hylton - Journal of Clinical Oncology 2012 cited by 441

  19. Are Qualitative Assessments of Background Parenchymal Enhancement, Amount of Fibroglandular Tissue on MR Images, and Mammographic Density Associated with Breast Cancer Risk?

    Authors: Brian N. Dontchos, Habib Rahbar, Savannah C. Partridge, Larissa A. Korde, Diana L. Lam, John R. Scheel, Sue Peacock, Constance D. Lehman - Radiology 2015 cited by 215

  20. Relationship of established risk factors with breast cancer subtypes

    Authors: Anne Marie McCarthy, Tara Friebel‐Klingner, Sarah Ehsan, Wei He, Michaela Welch, Jinbo Chen, Despina Kontos, Susan M. Domchek, Emily F. Conant, Alan Semine, Kevin S. Hughes, Aditya Bardia, Constance D. Lehman, Katrina Armstrong - Cancer Medicine 2021 cited by 108

  21. Performance of Screening Ultrasonography as an Adjunct to Screening Mammography in Women Across the Spectrum of Breast Cancer Risk

    Authors: Janie M. Lee, Robert F. Arao, Brian L. Sprague, Karla Kerlikowske, Constance D. Lehman, Robert A. Smith, Louise M. Henderson, Garth H. Rauscher, Diana L. Miglioretti - JAMA Internal Medicine 2019 cited by 108

  22. Deep Learning vs Traditional Breast Cancer Risk Models to Support Risk-Based Mammography Screening

    Authors: Constance D. Lehman, Sarah Mercaldo, Leslie R. Lamb, Tari A. King, Leif W. Ellisen, Michelle C. Specht, Rulla M. Tamimi - JNCI Journal of the National Cancer Institute 2022 cited by 53

  23. External Validation of a Deep Learning Model for Predicting Mammographic Breast Density in Routine Clinical Practice

    Authors: Brian N. Dontchos, Adam Yala, Regina Barzilay, Justin Xiang, Constance D. Lehman - Academic Radiology 2020 cited by 41

  24. MRI Evaluation of the Contralateral Breast in Women with Recently Diagnosed Breast Cancer

    Authors: Constance D. Lehman, Constantine Gatsonis, Christiane Kühl, R. Edward Hendrick, Etta D. Pisano, Lucy Hanna, Sue Peacock, Stanley F. Smazal, Daniel D. Maki, Thomas B. Julian, Elizabeth R. DePeri, David A. Bluemke, Mitchell D. Schnall - New England Journal of Medicine 2007 cited by 936