Deep-learning image reconstruction for real-time photoacoustic system MW Kim, GS Jeng, I Pelivanov, M O’Donnell IEEE transactions on medical imaging 39 (11), 3379-3390, 2020 | 123 | 2020 |
Real-time interleaved spectroscopic photoacoustic and ultrasound (PAUS) scanning with simultaneous fluence compensation and motion correction GS Jeng, ML Li, MW Kim, SJ Yoon, JJ Pitre Jr, DS Li, I Pelivanov, ... Nature communications 12 (1), 716, 2021 | 75 | 2021 |
Multidimensional clutter filter optimization for ultrasonic perfusion imaging MW Kim, Y Zhu, J Hedhli, LW Dobrucki, MF Insana IEEE transactions on ultrasonics, ferroelectrics, and frequency control 65 …, 2018 | 44 | 2018 |
Expanding acquisition and clutter filter dimensions for improved perfusion sensitivity MW Kim, CK Abbey, J Hedhli, LW Dobrucki, MF Insana IEEE transactions on ultrasonics, ferroelectrics, and frequency control 64 …, 2017 | 39 | 2017 |
Correction of wavelength-dependent laser fluence in swept-beam spectroscopic photoacoustic imaging with a hand-held probe MW Kim, GS Jeng, M O’Donnell, I Pelivanov Photoacoustics 19, 100192, 2020 | 29 | 2020 |
Deep learning-enhanced parallel imaging and simultaneous multislice acceleration reconstruction in knee MRI MW Kim, SM Lee, C Park, D Lee, KS Kim, HS Jeong, S Kim, MH Choi, ... Investigative Radiology 57 (12), 826-833, 2022 | 27 | 2022 |
Sparsity driven metal part reconstruction for artifact removal in dental CT J Choi, KS Kim, MW Kim, W Seong, JC Ye Journal of X-ray Science and Technology 19 (4), 457-475, 2011 | 27 | 2011 |
Comparison of a deep learning-based reconstruction algorithm with filtered back projection and iterative reconstruction algorithms for pediatric abdominopelvic CT W Son, MW Kim, JY Hwang, YW Kim, C Park, KS Choo, TU Kim, JY Jang Korean Journal of Radiology 23 (7), 752, 2022 | 19 | 2022 |
Compressed sensing metal artifact removal in dental CT J Choi, MW Kim, W Seong, JC Ye 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro …, 2009 | 19 | 2009 |
Imaging the landmarks of vascular recovery J Hedhli, MW Kim, HJ Knox, JA Cole, T Huynh, M Schuelke, IT Dobrucki, ... Theranostics 10 (4), 1733, 2020 | 16 | 2020 |
A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS MW Kim, S Lee, I Dan, S Tak Journal of neural engineering 19 (1), 016017, 2022 | 12 | 2022 |
Spatially localized sono-photoacoustic activation of phase-change contrast agents DS Li, GS Jeng, JJ Pitre Jr, MW Kim, LD Pozzo, M O’Donnell Photoacoustics 20, 100202, 2020 | 10 | 2020 |
Prediction of bone mineral density in CT using deep learning with explainability JW Kang, C Park, DE Lee, JH Yoo, MW Kim Frontiers in Physiology 13, 1061911, 2023 | 8 | 2023 |
Radiologic and clinical courses of degenerative lumbar scoliosis (10–25) after a short-segment fusion KY Lee, MW Kim, CS Im, YH Jung Asian Spine Journal 11 (4), 570, 2017 | 8 | 2017 |
Experimental validation of perfusion imaging with HOSVD clutter filters Y Zhu, MW Kim, C Hoerig, MF Insana IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …, 2020 | 7 | 2020 |
Diagnostic performance for detecting bone marrow edema of the hip on dual-energy CT: Deep learning model vs. musculoskeletal physicians and radiologists CS Park, MW Kim, C Park, W Son, SM Lee, HS Jeong, JW Kang, MH Choi European Journal of Radiology 152, 110337, 2022 | 6 | 2022 |
Providing motion mode image in ultrasound system MW Kim, WH Kang US Patent 9,232,932, 2016 | 6 | 2016 |
Method and apparatus of reconstructing 3D image from 2D images JC Ye, YH Sung, DG Kang, JD Jang, JY Choi, MW Kim US Patent 8,422,764, 2013 | 6 | 2013 |
Review of deep learning approaches for interleaved photoacoustic and ultrasound (PAUS) imaging MW Kim, I Pelivanov, M O’Donnell IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 2023 | 5 | 2023 |
Efficiency of US tissue perfusion estimators MW Kim, CK Abbey, MF Insana IEEE transactions on ultrasonics, ferroelectrics, and frequency control 63 …, 2016 | 5 | 2016 |