Juhun Lee
Orcid: 0000-0001-7151-0540
According to our database1,
Juhun Lee
authored at least 19 papers
between 2012 and 2024.
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Bibliography
2024
All but One: Surgical Concept Erasing with Model Preservation in Text-to-Image Diffusion Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Information about immune cell proportions and tumor stage improves the prediction of recurrence in patients with colorectal cancer.
Patterns, June, 2023
Developing a breast lesion simulator and remover in mammograms using Cycle-GAN: focusing on its impacts on a computer aided detection algorithm.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Developing a task-oriented deep convolutional neural network application towards estimating near-term breast cancer risk: preliminary work.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, 2023
2022
Identifying Women With Mammographically- Occult Breast Cancer Leveraging GAN-Simulated Mammograms.
IEEE Trans. Medical Imaging, 2022
Analyzing GAN artifacts for simulating mammograms: application towards finding mammographically-occult cancer.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
Improving lesion detection algorithm in digital breast tomosynthesis leveraging ensemble cross-validation models with multi-depth levels.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, 2022
2021
Estimating near term breast cancer risk from sequential mammograms using deep learning, radon cumulative distribution transform, and a clinical risk factor: preliminary analysis.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021
2020
Cross-Organ, Cross-Modality Transfer Learning: Feasibility Study for Segmentation and Classification.
IEEE Access, 2020
Simulating breast mammogram using conditional generative adversarial network: application towards finding mammographically-occult cancer.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
Detecting mammographically-occult cancer in women with dense breasts using deep convolutional neural network and Radon cumulative distribution transform.
Proceedings of the Medical Imaging 2019: Computer-Aided Diagnosis, 2019
2018
Detecting mammographically-occult cancer in women with dense breasts using Radon Cumulative Distribution Transform: a preliminary analysis.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018
Developing imaging biomarkers for mammographically-occult cancer in dense breasts using a radiologist's progress rating on cancer development: a preliminary analysis.
Proceedings of the 14th International Workshop on Breast Imaging, 2018
2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Can model observers be developed to reproduce radiologists' diagnostic performances? Our study says not so fast!
Proceedings of the Medical Imaging 2016: Image Perception, Observer Performance, and Technology Assessment, San Diego, California, United States, 27 February, 2016
2015
Eigen-disfigurement model for simulating plausible facial disfigurement after reconstructive surgery.
BMC Medical Imaging, 2015
2013
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013
2012
IEEE Trans. Biomed. Eng., 2012
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012