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Sangjoon Park

3 papers hereh-index 177 citations9 works total

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

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL1
  • cs.CV1
  • eess.IV1
same name
  • Sangjoon Park — 11 papers, h 17
  • Sangjoon Park — 6 papers, h 3
  • Sangjoon Park — 5 papers, h 2
  • Sangjoon Park — 3 papers, h 2
  • Sangjoon Park — 1 paper, h 1
  • Sangjoon Park — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedAI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

79 citations · 79 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2024

Improving Mortality Prediction After Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records

Sangjoon Park, Chan Woo Wee, Seo Hee Choi +10

Accurate survival prediction in radiotherapy (RT) is critical for optimizing treatment decisions. This study developed and validated the RT-Surv framework, which integrates general…

cs.CV2024

Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model

Sangjoon Park, Yong Bae Kim, Jee Suk Chang +4

As advancements in the field of breast cancer treatment continue to progress, the assessment of post-surgical cosmetic outcomes has gained increasing significance due to its substa…

eess.IV2022★ 79 cited

AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

Sangjoon Park, Gwanghyun Kim, Yujin Oh +7

Although deep learning-based computer-aided diagnosis systems have recently achieved expert-level performance, developing a robust deep learning model requires large, high-quality…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.