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Aflac (United States)

United States

2 papers here31 citations across 2
fields
  • cs.AI1
  • cs.CV1
ROR 01d3smq07OpenAlex

affiliations via OpenAlex

most citedAutomatic Personalized Impression Generation for PET Reports Using Large Language Models

30 citations

researchers with a paper here
  • Adina L. Alazraki1 · h 3
  • A. Weisman1 · h 7
  • Changhee Lee1 · h 3
  • Junjie Hu1 · h 5
  • K. Kelly1 · h 7
  • K. McCarten1 · h 23
  • Muheon Shin1 · h 4
  • S. Castellino1 · h 17
  • Scott B. Perlman1 · h 2
  • Steve Y. Cho1 · h 3
  • T. Bradshaw1 · h 5
  • Tie Xin1 · h 6
collaborating institutions
  • Children's Healthcare of AtlantaUS1 paper
  • Emory UniversityUS1 paper
  • Jacobs (United States)US1 paper
  • Rhode Island HospitalUS1 paper
  • Roswell Park Comprehensive Cancer CenterUS1 paper
  • University of Wisconsin Carbone Cancer CenterUS1 paper
  • University of Wisconsin–MadisonUS1 paper

2 papers

cs.CV2024★ 1 cited

Automatic Quantification of Serial PET/CT Images for Pediatric Hodgkin Lymphoma Patients Using a Longitudinally-Aware Segmentation Network

Xin Tie, Muheon Shin, Changhee Lee +10

Purpose: Automatic quantification of longitudinal changes in PET scans for lymphoma patients has proven challenging, as residual disease in interim-therapy scans is ofte…

cs.AI2023★ 30 cited

Automatic Personalized Impression Generation for PET Reports Using Large Language Models

Xin Tie, Muheon Shin, Ali Pirasteh +8

In this study, we aimed to determine if fine-tuned large language models (LLMs) can generate accurate, personalized impressions for whole-body PET reports. Twelve language models w…

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