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Synho Do
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2020 – today
- 2024
- [j10]Young-Tak Kim
, Hayom Kim, Mingyeong So
, Jooheon Kong, Keun-Tae Kim, Je Hyeong Hong, Yunsik Son
, Jason K. Sa, Synho Do, Jae-Ho Han
, Jung Bin Kim
:
Differentiating loss of consciousness causes through artificial intelligence-enabled decoding of functional connectivity. NeuroImage 297: 120749 (2024) - [i4]Kyungsu Kim, Junhyun Park, Saúl Langarica, Adham Mahmoud Alkhadrawi, Synho Do:
Integrating ChatGPT into Secure Hospital Networks: A Case Study on Improving Radiology Report Analysis. CoRR abs/2402.09358 (2024) - 2022
- [j9]Jongmun Choi
, Soomin Jeon
, Doyun Kim, Michelle Chua, Synho Do
:
A scalable artificial intelligence platform that automatically finds copy number variations (CNVs) in journal articles and transforms them into a database: CNV extraction, transformation, and loading AI (CNV-ETLAI). Comput. Biol. Medicine 144: 105332 (2022)
2010 – 2019
- 2019
- [j8]Sehyo Yune, Hyunkwang Lee, Myeongchan Kim, Shahein H. Tajmir
, Michael S. Gee, Synho Do:
Beyond Human Perception: Sexual Dimorphism in Hand and Wrist Radiographs Is Discernible by a Deep Learning Model. J. Digit. Imaging 32(4): 665-671 (2019) - 2018
- [j7]Hyunkwang Lee, Mohammad Mansouri, Shahein Tajmir
, Michael H. Lev, Synho Do:
A Deep-Learning System for Fully-Automated Peripherally Inserted Central Catheter (PICC) Tip Detection. J. Digit. Imaging 31(4): 393-402 (2018) - [i3]Hyunkwang Lee, Myeongchan Kim, Synho Do:
Practical Window Setting Optimization for Medical Image Deep Learning. CoRR abs/1812.00572 (2018) - [i2]Hyunkwang Lee, Chao Huang, Sehyo Yune, Shahein H. Tajmir, Myeongchan Kim, Synho Do:
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction. CoRR abs/1812.01068 (2018) - 2017
- [j6]Hyunkwang Lee, Shahein Tajmir
, Jenny Lee, Maurice Zissen, Bethel Ayele Yeshiwas, Tarik K. Alkasab, Garry Choy, Synho Do:
Fully Automated Deep Learning System for Bone Age Assessment. J. Digit. Imaging 30(4): 427-441 (2017) - [j5]Hyunkwang Lee, Fabian M. Troschel
, Shahein Tajmir
, Georg Fuchs, Julia Mario, Florian J. Fintelmann, Synho Do:
Pixel-Level Deep Segmentation: Artificial Intelligence Quantifies Muscle on Computed Tomography for Body Morphometric Analysis. J. Digit. Imaging 30(4): 487-498 (2017) - 2015
- [i1]Junghwan Cho, Kyewook Lee, Ellie Shin, Garry Choy, Synho Do:
Medical Image Deep Learning with Hospital PACS Dataset. CoRR abs/1511.06348 (2015) - 2013
- [c14]Janne Näppi, Synho Do, Hiroyuki Yoshida:
Computer-Aided Detection of Colorectal Lesions with Super-Resolution CT Colonography: Pilot Evaluation. Abdominal Imaging 2013: 73-80 - [c13]Synho Do, Janne Näppi, Hiroyuki Yoshida:
Iterative Reconstruction for Ultra-Low-Dose Laxative-Free CT Colonography. Abdominal Imaging 2013: 99-106 - 2012
- [j4]Synho Do, Kristen Salvaggio, Supriya Gupta, Mannudeep K. Kalra, Nabeel U. Ali, Homer H. Pien:
Automated Quantification of Pneumothorax in CT. Comput. Math. Methods Medicine 2012: 736320:1-736320:7 (2012) - [c12]Ivana Stojanovic, Homer H. Pien, Synho Do, W. Clem Karl
:
Low-dose X-ray CT reconstruction based on joint sinogram smoothing and learned dictionary-based representation. ISBI 2012: 1012-1015 - 2011
- [c11]Limor Eger, Synho Do, Prakash Ishwar
, W. Clem Karl
, Homer H. Pien:
A learning-based approach to explosives detection using Multi-Energy X-Ray Computed Tomography. ICASSP 2011: 2004-2007 - [c10]Synho Do, W. Clem Karl
, Homer H. Pien:
A novel hybrid algorithm for accelerating CT reconstructions and improving low-dose image quality. ISBI 2011: 1516-1519 - 2010
- [j3]Lili He, Burkay Orten, Synho Do, William Clement Karl
, Avinish Kambadakone, Dushyant Sahani, Homer H. Pien:
A Spatio-Temporal Deconvolution Method to Improve Perfusion CT Quantification. IEEE Trans. Medical Imaging 29(5): 1182-1191 (2010) - [c9]Synho Do, W. Clem Karl
, Mannudeep K. Kalra, Thomas J. Brady, Homer H. Pien:
A variational approach for reconstructing low dose images in clinical helical CT. ISBI 2010: 784-787
2000 – 2009
- 2009
- [c8]Byunghyun Jang, Synho Do, Homer H. Pien, David R. Kaeli:
Architecture-aware optimization targeting multithreaded stream computing. GPGPU 2009: 62-70 - [c7]Byunghyun Jang, David R. Kaeli, Synho Do, Homer H. Pien:
Multi GPU Implementation of Iterative Tomographic Reconstruction Algorithms. ISBI 2009: 185-188 - [c6]Synho Do, Sanghee Cho, W. Clem Karl
, Mannudeep K. Kalra, Thomas J. Brady, Homer H. Pien:
Accurate Model-Based High Resolution Cardiac Image Reconstruction in Dual Source CT. ISBI 2009: 330-333 - [c5]Lili He, Burkay Orten, Synho Do, W. Clem Karl
, Avinish Kambadakone, Dushyant Sahani, Homer H. Pien:
Spatio-Temporal Deconvolution of Perfusion CT Data in Rectal Tumor Patients. ISBI 2009: 1231-1234 - 2008
- [c4]Zhuangli Liang, W. Clem Karl
, Synho Do, Thomas J. Brady, Homer H. Pien:
Analysis and mitigation of calcium artifacts in cardiac multidetector CT. ISBI 2008: 1477-1480 - 2007
- [c3]Zhuangli Liang, W. Clem Karl
, Synho Do, Udo Hoffmann, Thomas J. Brady, Homer H. Pien:
Calcium De-blooming in Coronary CT Image. BIBE 2007: 257-262 - 2006
- [j2]Jeong-Won Jeong, Dae C. Shin, Synho Do, Vasilis Z. Marmarelis:
Segmentation methodology for automated classification and differentiation of soft tissues in multiband images of high-resolution ultrasonic transmission tomography. IEEE Trans. Medical Imaging 25(8): 1068-1078 (2006) - 2005
- [j1]Jeong-Won Jeong, Tae-Seong Kim, Dae C. Shin, Synho Do, Manbir Singh, Vasilis Z. Marmarelis:
Soft tissue differentiation using multiband signatures of high resolution ultrasonic transmission tomography. IEEE Trans. Medical Imaging 24(3): 399-408 (2005) - 2004
- [c2]Synho Do, Vasilis Z. Marmarelis, Dae C. Shin, Jeong-Won Jeong, Tae-Seong Kim:
Volterra-Type Nonlinear Image Restoration of Medical Imagery Using Principal Dynamic Modes. ISBI 2004: 760-763 - [c1]Jeong-Won Jeong, Dae C. Shin, Tae-Seong Kim, Chengzheng Huang, Synho Do, Manbir Singh, Vasilis Z. Marmarelis:
3-D High Resolution Images of Ultrasonic Transmission Tomography Compared To Magnetic Resonance And Optical Images. ISBI 2004: 968-971
Coauthor Index
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last updated on 2024-08-26 22:17 CEST by the dblp team
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