Benjamin Wildman-Tobriner
Overview
Explore the profile of Benjamin Wildman-Tobriner including associated specialties, affiliations and a list of published articles.
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Articles
51
Citations
417
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Recent Articles
1.
Bowman A, Wildman-Tobriner B, Itani M, Brook O, Burgan C
Abdom Radiol (NY)
. 2025 Jan;
PMID: 39883166
Cross-sectional interventional radiology procedures can be performed using a range of techniques with approaches varying across institutions. One area in which practices for these procedures may differ is in the...
2.
Wildman-Tobriner B, Felice N, Kalisz K, Allen B, Thomas S, Kruse D, et al.
Radiology
. 2025 Jan;
314(1):e241568.
PMID: 39807984
Background Detection of hepatic metastases at CT is a daily task in radiology departments that influences medical and surgical treatment strategies for oncology patients. Purpose To compare simulated photon-counting CT...
3.
Liu A, Lowe M, Niedzwiecki D, Rhodin K, Sharib J, Wildman-Tobriner B, et al.
Ann Surg Oncol
. 2025 Jan;
32(4):2508-2509.
PMID: 39743650
No abstract available.
4.
Liu A, Lowe M, Niedzwiecki D, Rhodin K, Sharib J, Wildman-Tobriner B, et al.
Ann Surg Oncol
. 2024 Nov;
32(2):1033-1042.
PMID: 39565488
Background: Hepatic arterial infusion (HAI) is an established treatment for patients with unresectable colorectal liver metastases (uCRLM). Until recently, HAI was only performed at a limited number of centers. We...
5.
Felice N, Wildman-Tobriner B, Segars W, Bashir M, Marin D, Samei E, et al.
J Med Imaging (Bellingham)
. 2024 Oct;
11(5):053502.
PMID: 39430123
Purpose: Photon-counting computed tomography (PCCT) has the potential to provide superior image quality to energy-integrating CT (EICT). We objectively compare PCCT to EICT for liver lesion detection. Approach: Fifty anthropomorphic,...
6.
Ashton J, Morrison S, Erkanli A, Wildman-Tobriner B
Thyroid
. 2024 Oct;
34(11):1379-1388.
PMID: 39405186
Thyroid nodules are challenging to accurately characterize on ultrasound (US), though the emergence of risk stratification systems and more recently artificial intelligence (AI) algorithms has improved nodule classification. The purpose...
7.
8.
Wildman-Tobriner B, Yang J, Allen B, Ho L, Miller C, Mazurowski M
Curr Probl Diagn Radiol
. 2024 Jul;
53(6):695-699.
PMID: 39033064
Purpose: To validate the performance of a recently created risk stratification system (RSS) for thyroid nodules on ultrasound, the Artificial Intelligence Thyroid Imaging Reporting and Data System (AI TI-RADS). Materials...
9.
Ho L, Ronald J, Wildman-Tobriner B
J Ultrasound
. 2024 Feb;
27(2):329-334.
PMID: 38332311
Rational And Objectives: To increase utilization of contrast-enhanced ultrasound (CEUS) during ultrasound-guided targeted liver biopsies. Material And Methods: Two educational training interventions performed to increase use of CEUS. First, 14...
10.
Zhang J, Mazurowski M, Allen B, Wildman-Tobriner B
Artif Intell Med
. 2023 Jun;
141:102553.
PMID: 37295897
Machine learning (ML) for diagnosis of thyroid nodules on ultrasound is an active area of research. However, ML tools require large, well-labeled datasets, the curation of which is time-consuming and...