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Automated abnormality classification of chest radiographs using deep convolutional neural networks.

Y. Tang, Y. Tang, Y. Peng, K. Yan, M. Bagheri, B. Redd, C. Brandon, Z. Lu, M. Han, J. Xiao, and R. Summers. npj Digit. Medicine, (2020)

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Yifan Jin

Yifan Zhu

Yifan Wang

Yifan Shi

Yifan Chen

Other publications of authors with the same name

Editorial: Pattern recognition for healthcare analytics.I. Baytas, Y. Peng, and A. Özgür. Frontiers Digit. Health, (March 2023)Extracting chemical-protein relations with ensembles of SVM and deep learning models.Y. Peng, A. Rios, R. Kavuluru, and Z. Lu. Database J. Biol. Databases Curation, (2018)Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality.H. Lee, E. Sholle, A. Beecy, S. Al'Aref, and Y. Peng. NAACL-HLT, page 4533-4538. Association for Computational Linguistics, (2021)Lymph node detection in T2 MRI with transformers.T. Mathai, S. Lee, D. Elton, T. Shen, Y. Peng, Z. Lu, and R. Summers. Medical Imaging: Computer-Aided Diagnosis, volume 12033 of SPIE Proceedings, SPIE, (2022)Deep Optics for Single-Shot High-Dynamic-Range Imaging.C. Metzler, H. Ikoma, Y. Peng, and G. Wetzstein. CVPR, page 1372-1382. Computer Vision Foundation / IEEE, (2020)TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays.X. Wang, Y. Peng, L. Lu, Z. Lu, and R. Summers. CVPR, page 9049-9058. Computer Vision Foundation / IEEE Computer Society, (2018)Optimizing Embedding Space with Sub-categorical Supervised Pre-training: A Theoretical Approach Towards Improving Sepsis Prediction.T. Wanyan, M. Lin, Y. Ding, B. Glicksberg, F. Wang, and Y. Peng. ICHI, page 101-110. IEEE, (2023)Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment.Z. Ji, M. Shaikh, D. Moukheiber, S. Srihari, Y. Peng, and M. Gao. MLMI@MICCAI, volume 12966 of Lecture Notes in Computer Science, page 110-119. Springer, (2021)Improving BERT Model Using Contrastive Learning for Biomedical Relation Extraction.P. Su, Y. Peng, and K. Vijay-Shanker. BioNLP@NAACL-HLT, page 1-10. Association for Computational Linguistics, (2021)Neural Bokeh: Learning Lens Blur for Computational Videography and Out-of-Focus Mixed Reality.D. Mandl, S. Mori, P. Mohr, Y. Peng, T. Langlotz, D. Schmalstieg, and D. Kalkofen. VR, page 870-880. IEEE, (2024)

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Disambiguation of "Peng, Yifan"

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Automated abnormality classification of chest radiographs using deep convolutional neural networks.

Please choose a person to relate this publication to

Yifan Jin

Yifan Zhu

Yifan Wang

Yifan Shi

Yifan Chen

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Peng, Yifan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automated abnormality classification of chest radiographs using deep convolutional neural networks.

Please choose a person to relate this publication to

Yifan Jin

Yifan Zhu

Yifan Wang

Yifan Shi

Yifan Chen

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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Automated abnormality classification of chest radiographs using deep convolutional neural networks.