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Minah Han
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2020 – today
- 2025
- [j3]Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah Al Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam Wang, Garry Evan Gold, Jang-Hwan Choi:
Low-dose computed tomography perceptual image quality assessment. Medical Image Anal. 99: 103343 (2025) - 2022
- [j2]Minah Han, Hyunjung Shim, Jongduk Baek:
Perceptual CT Loss: Implementing CT Image Specific Perceptual Loss for CNN-Based Low-Dose CT Denoiser. IEEE Access 10: 62412-62422 (2022) - [c7]Minwoo Yu, Minah Han, Jongduk Baek:
A convolutional neural network based super resolution technique of CT image utilizing both sinogram domain and image domain data. Medical Imaging: Image Processing 2022 - [c6]Minah Han, Jongduk Baek:
Low-dose CT denoising via CNN trained using images with activation map. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2022 - 2020
- [j1]Byeongjoon Kim, Minah Han, Jongduk Baek:
A Convolutional Neural Network-Based Anthropomorphic Model Observer for Signal Detection in Breast CT Images Without Human-Labeled Data. IEEE Access 8: 162122-162131 (2020) - [c5]Byeongjoon Kim, Minah Han, Jongduk Baek:
Convolutional neural network-based anthropomorphic model observer for breast cone-beam CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 113160Y - [c4]Minah Han, Byeongjoon Kim, Jongduk Baek:
A performance comparison of convolutional neural network based anthropomorphic model observer and linear model observer for signal-known statistically detection tasks. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2020: 1131612
2010 – 2019
- 2019
- [c3]Gihun Kim, Minah Han, Hyunjung Shim, Jongduk Baek:
Implementation of an ideal observer model using convolutional neural network for breast CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2019: 109520L - 2018
- [c2]Minah Han, Hanjoo Jang, Jongduk Baek:
Lesion detection performance of cone beam CT images with anatomical background noise: single-slice vs multi-slice human and model observer study. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2018: 105770N - 2016
- [c1]Minah Han, Subok Park, Jongduk Baek:
Effect of anatomical backgrounds on detectability in volumetric cone beam CT images. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 978717
Coauthor Index
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