Author

Aidan J. McGirr

Observed names: A. McGirr, Aidan McGirr, McGirr, Aidan

Institutions: Mayo Clinic in Arizona, Mayo Clinic Hospital

Observed institutions: Mayo Clinic, Mayo Clinic in Arizona, Mayo Clinic Hospital

OpenAlex ID: A5083147912

Preoperative prediction of the stage, size, grade, and necrosis score in clear cell renal cell carcinoma using MRI-based radiomics

2021 · Ji Whae Choi, Rong Hu, et al. · Abdominal Radiology · 27

Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm

2020 · Subhanik Purkayastha, Yijun Zhao, et al. · Scientific Reports · 26

Clinical Outcomes of Portosystemic Shunts on the Outcome of Liver Transplantation

2019 · Eduardo A. Rodriguez, Rachel Perez, et al. · Liver Transplantation · 14

Abstract No. 471 Deep learning to distinguish benign from malignant renal lesions based on routine magetice resonance imaging

2020 · I. Xi, R. Wang, et al. · Journal of Vascular and Interventional Radiology

3:18 PM Abstract No. 266 Differentiation of low- and high-grade renal cell carcinoma using magnetic resonance–based radiomics

2020 · S. Purkayastha, J. Cheng, et al. · Journal of Vascular and Interventional Radiology

3:18 PM Abstract No. 292 Differentiation of malignant and benign renal tumors using magnetic resonance–based radiomics

2020 · L. Rauschert, S. Purkayastha, et al. · Journal of Vascular and Interventional Radiology

Differentiation of Low and High Grade Renal Cell Carcinoma on Routine MR with an Externally Validated Automatic Machine Learning Algorithm

2020 · Subhanik Purkayastha, Yijun Zhao, et al. · SSRN Electronic Journal

Works count: 8

Citation count: 66

H-index: 3

I10-index: 3