Sangjoon Park

Sangjoon Park

KAIST

H-index: 16

Asia-South Korea

About Sangjoon Park

Sangjoon Park, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at KAIST, specializes in the field of Deep learning, Medical Imaging, Radiation Oncology.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology

Diagnosis of coronary layered plaque by deep learning

LLM-driven Multimodal Target Volume Contouring in Radiation Oncology

Single-round Self-supervised Distributed Learning using Vision Transformer

Study protocol for prospective multi-institutional phase III trial of standard of care therapy with or without stereotactic ablative radiation therapy for recurrent ovarian …

System for and method of deep learning diagnosis of plaque erosion through optical coherence tomography

Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models

Sangjoon Park Information

University

Position

Bio Imaging Signal Processing & Learning Lab

Citations(all)

1919

Citations(since 2020)

1735

Cited By

328

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

21

i10Index(since 2020)

20

Email

University Profile Page

Google Scholar

Sangjoon Park Skills & Research Interests

Deep learning

Medical Imaging

Radiation Oncology

Top articles of Sangjoon Park

Title

Journal

Author(s)

Publication Date

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

arXiv preprint arXiv:2402.18362

Sangjoon Park

Yong Bae Kim

Jee Suk Chang

Seo Hee Choi

Hyungjin Chung

...

2024/2/28

Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology

Medical Image Analysis

Sangjoon Park

Eun Sun Lee

Kyung Sook Shin

Jeong Eun Lee

Jong Chul Ye

2024/1/1

Diagnosis of coronary layered plaque by deep learning

Scientific Reports

Makoto Araki

Sangjoon Park

Akihiro Nakajima

Hang Lee

Jong Chul Ye

...

2023/2/10

LLM-driven Multimodal Target Volume Contouring in Radiation Oncology

arXiv preprint arXiv:2311.01908

Yujin Oh

Sangjoon Park

Hwa Kyung Byun

Jin Sung Kim

Jong Chul Ye

2023/11/3

Single-round Self-supervised Distributed Learning using Vision Transformer

arXiv preprint arXiv:2301.02064

Sangjoon Park

Ik-Jae Lee

Jun Won Kim

Jong Chul Ye

2023/1/5

Study protocol for prospective multi-institutional phase III trial of standard of care therapy with or without stereotactic ablative radiation therapy for recurrent ovarian …

Yong Bae Kim

Hwa Kyung Byun

Chan Woo Wee

Hojin Kim

Seyoung Kim

...

2023/8/17

System for and method of deep learning diagnosis of plaque erosion through optical coherence tomography

2023/8/17

Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models

IEEE Journal of Biomedical and Health Informatics

Jaeyoung Huh

Sangjoon Park

Jeong Eun Lee

Jong Chul Ye

2023/12/22

Deep learning-enabled detection of pneumoperitoneum in supine and erect abdominal radiography: Modeling Using Transfer Learning and Semi-Supervised Learning

Korean Journal of Radiology

Sangjoon Park

Jong Chul Ye

Eun Sun Lee

Gyeongme Cho

Jin Woo Yoon

...

2023/6

Segrap2023: A benchmark of organs-at-risk and gross tumor volume segmentation for radiotherapy planning of nasopharyngeal carcinoma

arXiv preprint arXiv:2312.09576

Xiangde Luo

Jia Fu

Yunxin Zhong

Shuolin Liu

Bing Han

...

2023/12/15

Improving medical speech-to-text accuracy with vision-language pre-training model

arXiv preprint arXiv:2303.00091

Jaeyoung Huh

Sangjoon Park

Jeong Eun Lee

Jong Chul Ye

2023/2/27

RO-LLaMA: Generalist LLM for Radiation Oncology via Noise Augmentation and Consistency Regularization

arXiv preprint arXiv:2311.15876

Kwanyoung Kim

Yujin Oh

Sangjoon Park

Hwa Kyung Byun

Jin Sung Kim

...

2023/11/27

Self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation

Nature communications

Sangjoon Park

Gwanghyun Kim

Yujin Oh

Joon Beom Seo

Sang Min Lee

...

2022/7/4

Method of classifying lesion of chest x-ray radiograph based on data normalization and local patch and apparatus thereof

2022/2/3

Multi-task vision transformer using low-level chest X-ray feature corpus for COVID-19 diagnosis and severity quantification

Medical image analysis

Sangjoon Park

Gwanghyun Kim

Yujin Oh

Joon Beom Seo

Sang Min Lee

...

2022/1/1

Multi-task distributed learning using vision transformer with random patch permutation

IEEE Transactions on Medical Imaging

Sangjoon Park

Jong Chul Ye

2022/11/1

Enhanced diagnosis of plaque erosion by deep learning in patients with acute coronary syndromes

Cardiovascular Interventions

Sangjoon Park

Makoto Araki

Akihiro Nakajima

Hang Lee

Valentin Fuster

...

2022/10/24

Severity quantification and lesion localization method of infectious disease on cxr using vision transformer and apparatus therefor

2022/9/29

Improved oncologic outcomes by ablative radiotherapy in patients with bone metastasis from hepatocellular carcinoma

Journal of cancer research and clinical oncology

Tae Hyung Kim

Sangjoon Park

Chai Hong Rim

Chiwhan Choi

Jinsil Seong

2021/9

Severity quantification and lesion localization of covid-19 on CXR using vision transformer

arXiv preprint arXiv:2103.07062

Gwanghyun Kim

Sangjoon Park

Yujin Oh

Joon Beom Seo

Sang Min Lee

...

2021/3/12

See List of Professors in Sangjoon Park University(KAIST)