Benjamin Wildman-Tobriner

According to our database, Benjamin Wildman-Tobriner authored at least 4 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Effectiveness of Automatically Curated Dataset in Thyroid Nodules Classification Algorithms Using Deep Learning.

Jichen Yang, Jikai Zhang, Benjamin Wildman-Tobriner, Maciej A. Mazurowski

CoRR, February, 2026

2025

Reinforcement Learning-Based Optimization of CT Acquisition and Reconstruction Parameters Through Virtual Imaging Trials.

David Fenwick, Navid Naderializadeh, Vahid Tarokh, Nicholas Felice, Darin Clark, Jayasai Rajagopal, Anuj J. Kapadia, Benjamin Wildman-Tobriner, Ehsan Samei, Ehsan Abadi

CoRR, October, 2025

2023

Multistep Automated Data Labelling Procedure (MADLaP) for thyroid nodules on ultrasound: An artificial intelligence approach for automating image annotation.

Jikai Zhang, Maciej A. Mazurowski, Brian C. Allen, Benjamin Wildman-Tobriner

Artif. Intell. Medicine, 2023

2022

Deep Learning for Classification of Thyroid Nodules on Ultrasound: Validation on an Independent Dataset.

Jingxi Weng, Benjamin Wildman-Tobriner, Mateusz Buda, Jichen Yang, Lisa M. Ho, Brian C. Allen, Wendy L. Ehieli, Chad M. Miller, Jikai Zhang, Maciej A. Mazurowski

CoRR, 2022