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Lauren Kim
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2020 – today
- 2023
- [c13]Panagiotis Tzirakis, Alice Baird, Jeffrey A. Brooks, Christopher Gagne, Lauren Kim, Michael Opara, Christopher B. Gregory, Jacob Metrick, Garrett Boseck, Vineet Tiruvadi, Björn W. Schuller, Dacher Keltner, Alan Cowen:
Large-Scale Nonverbal Vocalization Detection Using Transformers. ICASSP 2023: 1-5 - 2022
- [c12]Alice Baird, Panagiotis Tzirakis, Jeffrey A. Brooks, Lauren Kim, Michael Opara, Christopher B. Gregory, Jacob Metrick, Garrett Boseck, Dacher Keltner, Alan Cowen:
State & Trait Measurement from Nonverbal Vocalizations: A Multi-Task Joint Learning Approach. INTERSPEECH 2022: 2028-2032 - 2020
- [c11]Tal August, Lauren Kim, Katharina Reinecke, Noah A. Smith:
Writing Strategies for Science Communication: Data and Computational Analysis. EMNLP (1) 2020: 5327-5344
2010 – 2019
- 2017
- [c10]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Joint Mining of Deep Features and Image Labels for Large-Scale Radiology Image Categorization and Scene Recognition. WACV 2017: 998-1007 - [p2]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Efficient False Positive Reduction in Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 35-48 - [p1]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Image Database. Deep Learning and Convolutional Neural Networks for Medical Image Computing 2017: 305-321 - [i5]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Mohammadhadi Bagheri, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition. CoRR abs/1701.06599 (2017) - 2016
- [j3]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. J. Mach. Learn. Res. 17: 107:1-107:31 (2016) - [j2]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Improving Computer-Aided Detection Using Convolutional Neural Networks and Random View Aggregation. IEEE Trans. Medical Imaging 35(5): 1170-1181 (2016) - [c9]Jiamin Liu, David Wang, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers:
Colitis detection on computed tomography using regional convolutional neural networks. ISBI 2016: 863-866 - [c8]Jiamin Liu, Nathan Lay, Zhuoshi Wei, Le Lu, Lauren Kim, Evrim Turkbey, Ronald M. Summers:
Colitis detection on abdominal CT scans by rich feature hierarchies. Medical Imaging: Computer-Aided Diagnosis 2016: 97851N - [c7]Jessica Faruque, Sameer K. Antani, L. Rodney Long, Lauren Kim, George R. Thoma:
Image similarity ranking of focal computed tomography liver lesions using a 2AFC technique. Medical Imaging: Image Perception, Observer Performance, and Technology Assessment 2016: 97870N - [i4]Xiaosong Wang, Le Lu, Hoo-Chang Shin, Lauren Kim, Isabella Nogues, Jianhua Yao, Ronald M. Summers:
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database. CoRR abs/1603.07965 (2016) - 2015
- [j1]Kevin M. Cherry, Brandon Peplinski, Lauren Kim, Shijun Wang, Le Lu, Weidong Zhang, Jianfei Liu, Zhuoshi Wei, Ronald M. Summers:
Sequential Monte Carlo tracking of the marginal artery by multiple cue fusion and random forest regression. Medical Image Anal. 19(1): 164-175 (2015) - [c6]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved text/image Deep Mining on a large-scale radiology database. CVPR 2015: 1090-1099 - [c5]Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. ISBI 2015: 101-104 - [c4]Jiamin Liu, Divya Narayanan, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers:
Automated segmentation of the thyroid gland on CT using multi-atlas label fusion and random forest. ISBI 2015: 1114-1117 - [c3]Joanne Hoffman, Jiamin Liu, Evrim Turkbey, Lauren Kim, Ronald M. Summers:
Automatic identification of IASLC-defined mediastinal lymph node stations on CT scans using multi-atlas organ segmentation. Medical Imaging: Computer-Aided Diagnosis 2015: 94141R - [c2]Jiamin Liu, Kevin W. Chang, Lauren Kim, Evrim Turkbey, Le Lu, Jianhua Yao, Ronald M. Summers:
Automated segmentation of thyroid gland on CT images with multi-atlas label fusion and random classification forest. Medical Imaging: Computer-Aided Diagnosis 2015: 941413 - [i3]Holger R. Roth, Christopher T. Lee, Hoo-Chang Shin, Ari Seff, Lauren Kim, Jianhua Yao, Le Lu, Ronald M. Summers:
Anatomy-specific classification of medical images using deep convolutional nets. CoRR abs/1504.04003 (2015) - [i2]Hoo-Chang Shin, Le Lu, Lauren Kim, Ari Seff, Jianhua Yao, Ronald M. Summers:
Interleaved Text/Image Deep Mining on a Large-Scale Radiology Database for Automated Image Interpretation. CoRR abs/1505.00670 (2015) - [i1]Holger R. Roth, Le Lu, Jiamin Liu, Jianhua Yao, Ari Seff, Kevin M. Cherry, Lauren Kim, Ronald M. Summers:
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation. CoRR abs/1505.03046 (2015) - 2013
- [c1]Fred W. Prior, Sarah Jost Fouke, Tammie L. S. Benzinger, Alicia Boyd, Michael Chicoine, Sharath R. Cholleti, Matthew Kelsey, Bart Keogh, Lauren Kim, Mikhail Milchenko, David G. Politte, Stephen Tyree, Kilian Q. Weinberger, Daniel S. Marcus:
Predicting a multi-parametric probability map of active tumor extent using random forests. EMBC 2013: 6478-6481
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