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Journal Articles
- 2023
[j5]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): 100736 (2023)- 2022
- [j4]Juhun Lee, Robert M. Nishikawa:
Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms. IEEE Trans. Medical Imaging 41(1): 225-236 (2022) - 2020
- [j3]Juhun Lee, Robert M. Nishikawa:
Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification. IEEE Access 8: 210194-210205 (2020) - 2015
- [j2]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: 12 (2015) - 2012
- [j1]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): 1115-1124 (2012)
Conference and Workshop Papers
- 2024
- [c15]Seunghoo Hong, Juhun Lee, Simon S. Woo:
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models. AAAI 2024: 21143-21151 - [c14]Geonho Son, Juhun Lee, Simon S. Woo:
Disrupting Diffusion-based Inpainters with Semantic Digression. IJCAI 2024: 7735-7743 - 2023
- [c13]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 - [c12]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 - 2022
- [c11]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 - [c10]Juhun Lee, Robert M. Nishikawa:
Analyzing GAN artifacts for simulating mammograms: application towards finding mammographically-occult cancer. Medical Imaging: Computer-Aided Diagnosis 2022 - 2021
- [c9]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 - 2020
- [c8]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 - 2019
- [c7]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: 1095003 - 2018
- [c6]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: 107180G - [c5]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: 1057508 - 2017
- [c4]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: 101340Q - 2016
- [c3]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: 978707 - 2013
- [c2]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: 3706-3709 - 2012
- [c1]Juhun Lee, Gautam S. Muralidhar, Gregory P. Reece, Mia K. Markey:
A shape constrained parametric active contour model for breast contour detection. EMBC 2012: 4450-4453
Informal and Other Publications
- 2024
- [i3]Geonho Son, Juhun Lee, Simon S. Woo:
Disrupting Diffusion-based Inpainters with Semantic Digression. CoRR abs/2407.10277 (2024) - 2023
- [i2]Seunghoo Hong, Juhun Lee, Simon S. Woo:
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models. CoRR abs/2312.12807 (2023) - 2021
- [i1]Juhun Lee, Robert M. Nishikawa:
Identifying Women with Mammographically-Occult Breast Cancer Leveraging GAN-Simulated Mammograms. CoRR abs/2109.12113 (2021)
Coauthor Index
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