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How has Lars J. Grimm's publication output changed over time?
ScholarIQpublication output · 2014–2024
Output grew0% over the shown period — from 1 works in 2014 to 1 in 2024.
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4
1
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1
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1
2014201520172018201920212024
What are the most-cited papers on Lars J. Grimm?
ScholarIQmost cited works
Benefits and Harms of Breast Cancer Screening
Evan R. Myers, Patricia G. Moorman, Jennifer M. Gierisch, Laura J. Havrilesky, Lars J. Grimm, Sujata V. Ghate, Brittany A. Davidson, Ranee Chatterjee Mongtomery, Matthew J. Crowley, Douglas C McCrory, Amy Kendrick, Gillian D Sanders
JAMA. 2015640 Citations
A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features
Ashirbani Saha, Michael R. Harowicz, Lars J. Grimm, Connie E. Kim, Sujata V. Ghate, Ruth Walsh, Maciej A. Mazurowski
British Journal of Cancer. 2018305 CitationsOPEN ACCESS
Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging
Maciej A. Mazurowski, Jing Zhang, Lars J. Grimm, Sora C. Yoon, James I. Silber
S50280174. 2014247 Citations
Abbreviated Screening Protocol for Breast MRI
Lars J. Grimm, Mary Scott Soo, Sora C. Yoon, Connie Kim, Sujata V. Ghate, Karen S. Johnson
Academic Radiology. 2015156 Citations
Computational approach to radiogenomics of breast cancer: Luminal A and luminal B molecular subtypes are associated with imaging features on routine breast MRI extracted using computer vision algorithms
Lars J. Grimm, Jing Zhang, Maciej A. Mazurowski
S132538424. 2015156 CitationsOPEN ACCESS
Related on ScholarIQ
Duke University
Institution
Benefits and Harms of Breast Cancer Screening
Paper
A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features
Paper
Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging
Paper
Abbreviated Screening Protocol for Breast MRI
Paper
Computational approach to radiogenomics of breast cancer: Luminal A and luminal B molecular subtypes are associated with imaging features on routine breast MRI extracted using computer vision algorithms
Paper