Richard G. Abramson - Concepedia

Author

Richard G. Abramson

Also Known As

Abramson, R, Abramson, Richard G., Abramson, Vandana G, Finbarr O'Sullivan, R Abramson, R G Abramson, R. Abramson, R. G. ABRAMSON, R. G. Abramson, R.G. Abramson

143

Publications

3.8K

Citations

H-Index

166

Concepts

All Affiliations

Vanderbilt University Vanderbilt University Medical Center Incyte (United States)Icahn School of Medicine at Mount Sinai The University of Texas at Austin

About

Richard G. Abramson is an author at Vanderbilt University specializing in medicine, radiology, and medical imaging.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Medicine	18	32	933
2	Engineering	15	20	829
3	Health Sciences	13	18	722
4	Business	1	1	27
5	Education	1	1	50

Richard G. Abramson

Publications

2.9K

Citations

H-Index

Page 1

	Year	Citations
A cross-sectional study of well water arsenic and child IQ in Maine schoolchildren Gail A. Wasserman, Xinhua Liu, Nancy J. LoIacono, Environmental Health	2014	177
Evaluation of Six Registration Methods for the Human Abdomen on Clinically Acquired CT Zhoubing Xu, Christopher P. Lee, Mattias P. Heinrich‬, IEEE Transactions on Biomedical Engineering	2016	170
Patient and provider barriers to colorectal cancer screening in the primary care safety-net Ann S. O’Malley, Elliott A. Beaton, K. Robin Yabroff, Preventive Medicine Family MedicinePrimary CarePreventive MedicineProvider BarriersHealth Policy	2004	161
Multiparametric Magnetic Resonance Imaging for Predicting Pathological Response After the First Cycle of Neoadjuvant Chemotherapy in Breast Cancer Xia Li, Richard G. Abramson, Lori R. Arlinghaus, Investigative Radiology	2014	157
Adversarial synthesis learning enables segmentation without target modality ground truth Yuankai Huo, Zhoubing Xu, Shunxing Bao, Artificial IntelligenceConvolutional Neural NetworkEngineeringMachine LearningTarget Modality	2018	150
TBCRC 032 IB/II Multicenter Study: Molecular Insights to AR Antagonist and PI3K Inhibitor Efficacy in Patients with AR+ Metastatic Triple-Negative Breast Cancer Brian D. Lehmann, Vandana G. Abramson, Melinda E. Sanders, Clinical Cancer Research	2019	142
DCE‐MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: Pilot study findings Xia Li, Lori R. Arlinghaus, Gregory D. Ayers, Magnetic Resonance in Medicine	2013	118
Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning Zhoubing Xu, Ryan P. Burke, Christopher P. Lee, Medical Image Analysis Computed TomographyImage AnalysisEngineeringMedical ImagingMedical Image Computing	2015	101
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation Xin Yu, Qi Yang, Yinchi Zhou, Medical Image Analysis EngineeringMachine LearningLocal Spatial RepresentationImage AnalysisData Science	2023	86
Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: Preliminary results Richard G. Abramson, Xia Li, Tamarya L. Hoyt, Magnetic Resonance Imaging Breast OncologyBreast Cancer ResponseNeoadjuvant ChemotherapyMedical ImagingEngineering	2013	81

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