What is he best known for?
The fields of study he is best known for:
- Internal medicine
- Magnetic resonance imaging
- Surgery
His primary areas of investigation include Magnetic resonance imaging, Radiology, Nuclear medicine, Mr imaging and PI-RADS.
His Magnetic resonance imaging study incorporates themes from Tears, Carcinoma, Metastasis, Medical physics and Obstetrics.
The Radiology study combines topics in areas such as Predictive value of tests and Transplantation.
His biological study spans a wide range of topics, including Neoplasm staging, Fusion Biopsy, Nuclear magnetic resonance and Flip angle.
His Mr imaging research also works with subjects such as
- Cirrhosis, which have a strong connection to Hepatocellular carcinoma and Nodule,
- Arterial phase together with Bolus and Precontrast.
The concepts of his PI-RADS study are interwoven with issues in Radiology information systems and Library science.
His most cited work include:
- PI-RADS Prostate Imaging - Reporting and Data System: 2015, Version 2 (1381 citations)
- ACR Guidance Document for Safe MR Practices: 2007 (606 citations)
- Abdominal MR Imaging with a Volumetric Interpolated Breath-hold Examination (453 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Radiology, Magnetic resonance imaging, Nuclear medicine, Mr imaging and Prostate cancer.
Radiology is frequently linked to Lesion in his study.
His Magnetic resonance imaging study also includes
- Cirrhosis together with Hepatocellular carcinoma,
- Magnetic resonance angiography most often made with reference to Angiography.
In his research, Jeffrey C. Weinreb undertakes multidisciplinary study on Nuclear medicine and Image quality.
Prostate cancer and Prostate are commonly linked in his work.
Jeffrey C. Weinreb is studying PI-RADS, which is a component of Prostate.
He most often published in these fields:
- Radiology (69.08%)
- Magnetic resonance imaging (51.81%)
- Nuclear medicine (19.28%)
What were the highlights of his more recent work (between 2016-2021)?
- Radiology (69.08%)
- Prostate (10.44%)
- Prostate cancer (10.84%)
In recent papers he was focusing on the following fields of study:
Jeffrey C. Weinreb mainly investigates Radiology, Prostate, Prostate cancer, PI-RADS and Magnetic resonance imaging.
Jeffrey C. Weinreb studies Radiology, namely Biopsy.
His Prostate research incorporates themes from Oncology and General surgery.
The study incorporates disciplines such as Meta-analysis and Logistic regression in addition to Prostate cancer.
His PI-RADS research includes themes of Multiparametric Magnetic Resonance Imaging, Predictive value and BI-RADS.
He performs multidisciplinary study in the fields of Magnetic resonance imaging and Instructions for use via his papers.
Between 2016 and 2021, his most popular works were:
- Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. (316 citations)
- Gadolinium Retention: A Research Roadmap from the 2018 NIH/ACR/RSNA Workshop on Gadolinium Chelates. (96 citations)
- Prostate Imaging-Reporting and Data System Steering Committee: PI-RADS v2 Status Update and Future Directions. (91 citations)
In his most recent research, the most cited papers focused on:
- Internal medicine
- Surgery
- Magnetic resonance imaging
Jeffrey C. Weinreb spends much of his time researching Radiology, Prostate, Prostate cancer, Magnetic resonance imaging and PI-RADS.
His study looks at the relationship between Radiology and fields such as Artificial intelligence, as well as how they intersect with chemical problems.
His Receiver operating characteristic research is multidisciplinary, relying on both Prostatitis, Benign hyperplasia and Mr imaging.
His Prostate cancer research integrates issues from Meta-analysis and Diagnostic accuracy.
Jeffrey C. Weinreb has researched Magnetic resonance imaging in several fields, including Prostate biopsy, Biopsy and Feature.
His PI-RADS study frequently draws connections to adjacent fields such as Multiparametric Magnetic Resonance Imaging.
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