Richard G. Abramson

Medicine · Health Sciences

35h-index3.8kcitations143works0.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(41), Medical Imaging Techniques and Applications(32), MRI in cancer diagnosis(22), Advanced X-ray and CT Imaging(17), Advanced Neural Network Applications(13)

Publications143 total

Atezolizumab in Combination With Carboplatin and Survival Outcomes in Patients With Metastatic Triple-Negative Breast Cancer
UNC Libraries·2024Open Access
Atezolizumab in Combination With Carboplatin and Survival Outcomes in Patients With Metastatic Triple-Negative Breast Cancer
JAMA Oncology·2023· 28 citedOpen Access
UNesT: Local spatial representation learning with hierarchical transformer for efficient medical segmentation
Medical Image Analysis·2023· 88 citedOpen Access
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy
European Radiology·2023· 18 citedOpen Access
Supplementary Figures from Anti–PD-1–Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients
2023Open Access
Supplementary Tables from Anti–PD-1–Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients
2023Open Access
Supplementary Figures from Anti–PD-1–Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients
2023Open Access
Data from Anti–PD-1–Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients
2023Open Access
Supplementary Legends from Anti–PD-1–Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients
2023Open Access
Supplementary Legends from Anti–PD-1–Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients
2023Open Access
Data from Anti–PD-1–Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients
2023Open Access
Supplementary Tables from Anti–PD-1–Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients
2023Open Access
Supplementary Data from TBCRC 032 IB/II Multicenter Study: Molecular Insights to AR Antagonist and PI3K Inhibitor Efficacy in Patients with AR<sup>+</sup> Metastatic Triple-Negative Breast Cancer
2023Open Access
Supplementary Data from TBCRC 032 IB/II Multicenter Study: Molecular Insights to AR Antagonist and PI3K Inhibitor Efficacy in Patients with AR<sup>+</sup> Metastatic Triple-Negative Breast Cancer
2023Open Access
Data from TBCRC 032 IB/II Multicenter Study: Molecular Insights to AR Antagonist and PI3K Inhibitor Efficacy in Patients with AR<sup>+</sup> Metastatic Triple-Negative Breast Cancer
2023Open Access
Data from TBCRC 032 IB/II Multicenter Study: Molecular Insights to AR Antagonist and PI3K Inhibitor Efficacy in Patients with AR<sup>+</sup> Metastatic Triple-Negative Breast Cancer
2023Open Access
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical Segmentation
arXiv (Cornell University)·2022· 4 citedOpen Access
Characterizing Renal Structures with 3D Block Aggregate Transformers
arXiv (Cornell University)·2022· 4 citedOpen Access
Corrigendum to “Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline” [Comput. Biol. Med. 107 (2019) 109–117]
Computers in Biology and Medicine·2021· 1 cited
Rap-Net: Coarse-To-Fine Multi-Organ Segmentation With Single Random Anatomical Prior
2021· 1 citedOpen Access
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Frequent Co-authors

Thomas E. Yankeelov(15), Bennett A. Landman(9), Lori R. Arlinghaus(9), Vandana G. Abramson(8), Zhoubing Xu(7), Yuankai Huo(7), Shunxing Bao(6), Melinda E. Sanders(5), Albert Assad(5), Xia Li(4), Hakmook Kang(4), John Virostko(4), Jaime Farley(3), C. Chad Quarles(3), A. Bapsi Chakravarthy(3), Camilo Bermudez(3), Anna G. Sorace(3), Michael S. Lipkowitz(3), Jared A. Weis(3), Christopher P. Lee(2)