| A performance comparison of convolutional neural network‐based image denoising methods: The effect of loss functions on low‐dose CT images B Kim, M Han, H Shim, J Baek Medical physics 46 (9), 3906-3923, 2019 | 95 | 2019 |
| The noise power spectrum in CT with direct fan beam reconstruction J Baek, NJ Pelc Medical physics 37 (5), 2074-2081, 2010 | 89 | 2010 |
| To bin or not to bin? The effect of CT system limiting resolution on noise and detectability J Baek, AR Pineda, NJ Pelc Physics in Medicine & Biology 58 (5), 1433, 2013 | 71 | 2013 |
| Local and global 3D noise power spectrum in cone‐beam CT system with FDK reconstruction J Baek, NJ Pelc Medical physics 38 (4), 2122-2131, 2011 | 71 | 2011 |
| Ring artifact correction using detector line-ratios in computed tomography Y Kim, J Baek, D Hwang Optics express 22 (11), 13380-13392, 2014 | 43 | 2014 |
| Rigid and non-rigid motion artifact reduction in X-ray CT using attention module Y Ko, S Moon, J Baek, H Shim Medical Image Analysis 67, 101883, 2021 | 39 | 2021 |
| Low‐dose CT denoising via convolutional neural network with an observer loss function M Han, H Shim, J Baek Medical physics 48 (10), 5727-5742, 2021 | 32 | 2021 |
| A convolutional neural network‐based model observer for breast CT images G Kim, M Han, H Shim, J Baek Medical physics 47 (4), 1619-1632, 2020 | 31 | 2020 |
| Human and model observer performance for lesion detection in breast cone beam CT images with the FDK reconstruction M Han, B Kim, J Baek PloS one 13 (3), e0194408, 2018 | 31 | 2018 |
| Deep learning‐based multimodal fusion network for segmentation and classification of breast cancers using B‐mode and elastography ultrasound images S Misra, C Yoon, KJ Kim, R Managuli, RG Barr, J Baek, C Kim Bioengineering & Translational Medicine 8 (6), e10480, 2023 | 30 | 2023 |
| GAN2GAN: Generative noise learning for blind denoising with single noisy images S Cha, T Park, B Kim, J Baek, T Moon arXiv preprint arXiv:1905.10488, 2019 | 30 | 2019 |
| A multi-source inverse-geometry CT system: initial results with an 8 spot x-ray source array J Baek, B De Man, J Uribe, R Longtin, D Harrison, J Reynolds, ... Physics in Medicine & Biology 59 (5), 1189, 2014 | 29 | 2014 |
| Effect of detector lag on CT noise power spectra J Baek, NJ Pelc Medical physics 38 (6Part1), 2995-3005, 2011 | 26 | 2011 |
| Use of sphere phantoms to measure the 3D MTF of FDK reconstructions J Baek, NJ Pelc Medical Imaging 2011: Physics of Medical Imaging 7961, 113-118, 2011 | 24 | 2011 |
| Inter‐laboratory comparison of channelized hotelling observer computation A Ba, CK Abbey, J Baek, M Han, RW Bouwman, C Balta, J Brankov, ... Medical physics 45 (7), 3019-3030, 2018 | 23 | 2018 |
| Moving beam-blocker-based low-dose cone-beam CT T Lee, C Lee, J Baek, S Cho IEEE Transactions on Nuclear Science 63 (5), 2540-2549, 2016 | 23 | 2016 |
| Weakly-supervised progressive denoising with unpaired CT images B Kim, H Shim, J Baek Medical Image Analysis 71, 102065, 2021 | 22 | 2021 |
| A new method to measure directional modulation transfer function using sphere phantoms in a cone beam computed tomography system C Lee, J Baek IEEE Transactions on Medical Imaging 34 (4), 902-910, 2014 | 21 | 2014 |
| Multisource inverse‐geometry CT. Part I. System concept and development B De Man, J Uribe, J Baek, D Harrison, Z Yin, R Longtin, J Roy, B Waters, ... Medical physics 43 (8Part1), 4607-4616, 2016 | 20 | 2016 |
| A convolutional neural network-based anthropomorphic model observer for signal-known-statistically and background-known-statistically detection tasks M Han, J Baek Physics in Medicine & Biology 65 (22), 225025, 2020 | 19 | 2020 |
