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Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.

Y. Han, C. Chen, A. Tewfik, B. Glicksberg, Y. Ding, Y. Peng, and Z. Wang. CoRR, (2021)

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Benjamin S J Wolpert

S Danischewski

S Hilt

S Hüttelmaier

S Leopold

Other publications of authors with the same name

Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data.T. Wanyan, J. Zhang, Y. Ding, A. Azad, Z. Wang, and B. Glicksberg. CoRR, (2021)Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.Y. Han, C. Chen, A. Tewfik, B. Glicksberg, Y. Ding, Y. Peng, and Z. Wang. CoRR, (2021)Time Aggregation and Model Interpretation for Deep Multivariate Longitudinal Patient Outcome Forecasting Systems in Chronic Ambulatory Care.B. Norgeot, D. Lituiev, B. Glicksberg, and A. Butte. CoRR, (2018)Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health.R. Scott, E. Antonsen, L. Sanders, J. Hastings, S. Park, G. Mackintosh, R. Reynolds, A. Hoarfrost, A. Sawyer, C. Greene and 46 other author(s). CoRR, (2021)Generation of a Compendium of Transcription Factor Cascades and Identification of Potential Therapeutic Targets using Graph Machine Learning.S. Sivarajkumar, P. Tandale, A. Bhardwaj, K. Johnson, A. Titus, B. Glicksberg, S. Khader, K. Yadav, and L. Subramanian. CoRR, (2023)Federated Learning for Healthcare Informatics.J. Xu, B. Glicksberg, C. Su, P. Walker, J. Bian, and F. Wang. J. Heal. Informatics Res., 5 (1): 1-19 (2021)Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records.T. Wanyan, H. Honarvar, A. Azad, Y. Ding, and B. Glicksberg. Data Intell., 3 (3): 329-339 (2021)Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning.J. Lee, T. Wanyan, Q. Chen, T. Keenan, B. Glicksberg, E. Chew, Z. Lu, F. Wang, and Y. Peng. MLMI@MICCAI, volume 13583 of Lecture Notes in Computer Science, page 11-20. Springer, (2022)Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams.K. Shameer, M. Badgeley, R. Miotto, B. Glicksberg, J. Morgan, and J. Dudley. Briefings Bioinform., 18 (1): 105-124 (2017)PatientExploreR: an extensible application for dynamic visualization of patient clinical history from electronic health records in the OMOP common data model.B. Glicksberg, B. Oskotsky, P. Thangaraj, N. Giangreco, M. Badgeley, K. Johnson, D. Datta, V. Rudrapatna, N. Rappoport, M. Shervey and 12 other author(s). Bioinform., 35 (21): 4515-4518 (2019)

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Disambiguation of "Glicksberg, Benjamin S."

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URL
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Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.

Please choose a person to relate this publication to

Benjamin S J Wolpert

S Danischewski

S Hilt

S Hüttelmaier

S Leopold

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Glicksberg, Benjamin S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.

Please choose a person to relate this publication to

Benjamin S J Wolpert

S Danischewski

S Hilt

S Hüttelmaier

S Leopold

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Cross-Modal Contrastive Learning for Abnormality Classification and Localization in Chest X-rays with Radiomics using a Feedback Loop.