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B. Wildman-Tobriner

5 papers hereh-index 15853 citations63 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CV1
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedDeep Learning for Classification of Thyroid Nodules on Ultrasound: Validation on an Independent Dataset

20 citations · 30 across the 4 of their papers we have counts for

collaborators
Showing eess.IVShow all

3 papers · 1 filter

eess.IV2026

Diagnostic Impact of Cine Clips for Thyroid Nodule Assessment on Ultrasound

Jichen Yang, Brian C. Allen, Kirti Magudia +4

Objective: Thyroid ultrasound is commonly performed using a combination of static images and cine clips (video recordings). However, the exact utility and impact of cine images rem…

eess.IV2022★ 20 cited

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

Jingxi Weng, Benjamin Wildman-Tobriner, Mateusz Buda +7

Objectives: The purpose is to apply a previously validated deep learning algorithm to a new thyroid nodule ultrasound image dataset and compare its performances with radiologists.…

eess.IV2022★ 10 cited

Multistep Automated Data Labelling Procedure (MADLaP) for Thyroid Nodules on Ultrasound: An Artificial Intelligence Approach for Automating Image Annotation

Jikai Zhang, Maciej M. Mazurowski, Brian C. Allen +1

Machine learning (ML) for diagnosis of thyroid nodules on ultrasound is an active area of research. However, ML tools require large, well-labelled datasets, the curation of which i…

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