Juhun Lee

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 19

Top Topics

Diffusion Model

Transfer Learning

Preliminary Analysis

Convolutional Neural Network

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Medical Imaging: Image Perception, Observer Performance, and Technology Assessment

BMC Medical Imaging

Publications

Seunghoo Hong, Juhun Lee, Simon S. Woo
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models. AAAI (2024)
Geonho Son, Juhun Lee, Simon S. Woo
Disrupting Diffusion-based Inpainters with Semantic Digression. CoRR (2024)
Juhun Lee, Robert M. Nishikawa
Developing a breast lesion simulator and remover in mammograms using Cycle-GAN: focusing on its impacts on a computer aided detection algorithm. Medical Imaging: Computer-Aided Diagnosis (2023)
JungHo Kong, Jinho Kim, Donghyo Kim, Kwanghwan Lee, Juhun Lee, Seong Kyu Han, Inhae Kim, Seongsu Lim, Minhyuk Park, Seungho Shin, Woo Yong Lee, Seong Hyeon Yun, Hee Cheol Kim, Hye Kyung Hong, Yong Beom Cho, Donghyun Park, Sanguk Kim
Information about immune cell proportions and tumor stage improves the prediction of recurrence in patients with colorectal cancer. Patterns 4 (6) (2023)
Md Belayat Hossain, Juhun Lee
Developing a task-oriented deep convolutional neural network application towards estimating near-term breast cancer risk: preliminary work. Medical Imaging: Computer-Aided Diagnosis (2023)
Seunghoo Hong, Juhun Lee, Simon S. Woo
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models. CoRR (2023)
Juhun Lee, Robert M. Nishikawa
Analyzing GAN artifacts for simulating mammograms: application towards finding mammographically-occult cancer. Medical Imaging: Computer-Aided Diagnosis (2022)
Belayat Hossain, Robert M. Nishikawa, Juhun Lee
Improving lesion detection algorithm in digital breast tomosynthesis leveraging ensemble cross-validation models with multi-depth levels. Medical Imaging: Computer-Aided Diagnosis (2022)
Juhun Lee, Robert M. Nishikawa
Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms. IEEE Trans. Medical Imaging 41 (1) (2022)
Juhun Lee, Robert M. Nishikawa
Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms. CoRR (2021)
Juhun Lee, Robert M. Nishikawa, Andriy Bandos, Margarita L. Zuley
Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis. Medical Imaging: Computer-Aided Diagnosis (2021)
Juhun Lee, Robert M. Nishikawa
Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification. IEEE Access 8 (2020)
Juhun Lee, Robert M. Nishikawa
Simulating breast mammogram using conditional generative adversarial network: application towards finding mammographically-occult cancer. Medical Imaging: Computer-Aided Diagnosis (2020)
Juhun Lee, Robert M. Nishikawa
Detecting mammographically-occult cancer in women with dense breasts using deep convolutional neural network and Radon cumulative distribution transform. Medical Imaging: Computer-Aided Diagnosis (2019)
Juhun Lee, Sung Eun Song, Robert M. Nishikawa
Developing imaging biomarkers for mammographically-occult cancer in dense breasts using a radiologist's progress rating on cancer development: a preliminary analysis. IWBI (2018)
Juhun Lee, Robert M. Nishikawa, Gustavo K. Rohde
Detecting mammographically-occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysis. Medical Imaging: Computer-Aided Diagnosis (2018)
Juhun Lee, Robert M. Nishikawa, Ingrid S. Reiser, John M. Boone
Neutrosophic segmentation of breast lesions for dedicated breast CT. Medical Imaging: Computer-Aided Diagnosis (2017)
Juhun Lee, Robert M. Nishikawa, Ingrid S. Reiser, John M. Boone
Can model observers be developed to reproduce radiologists' diagnostic performances? Our study says not so fast! Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (2016)
Juhun Lee, Michelle Fingeret, Alan C. Bovik, Gregory P. Reece, Roman J. Skoracki, Matthew M. Hanasono, Mia K. Markey
Eigen-disfigurement model for simulating plausible facial disfigurement after reconstructive surgery. BMC Medical Imaging 15 (2015)
Juhun Lee, Michelle C. Fingeret, Irene Teo, Matthew M. Hanasono, Roman J. Skoracki, Mia K. Markey
Quantitative measures of facial expression for patients with head and neck cancer. EMBC (2013)
Juhun Lee, Gautam S. Muralidhar, Gregory P. Reece, Mia K. Markey
A shape constrained parametric active contour model for breast contour detection. EMBC (2012)
Juhun Lee, Si Chen, Gregory P. Reece, Melissa A. Crosby, Elisabeth K. Beahm, Mia K. Markey
A Novel Quantitative Measure of Breast Curvature Based on Catenary. IEEE Trans. Biomed. Eng. 59 (4) (2012)