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Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.

S. Ghimire, S. Kashyap, J. Wu, A. Karargyris, and M. Moradi. MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 644-653. Springer, (2020)

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Martim Joyce-Moniz

Poickattil Joy

Joy Mukherjee

Reginald Arthur Joyner

Frank Joyeux

Other publications of authors with the same name

A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs.K. Wong, M. Moradi, J. Wu, A. Pillai, A. Sharma, Y. Gur, H. Ahmad, M. Chowdary, C. J, K. Polaka and 3 other author(s). ISBI, page 1851-1855. IEEE, (2020)Preface.I. Lourentzou, J. Wu, S. Kashyap, A. Karargyris, L. Celi, B. Kawas, and S. Talathi. Gaze Meets ML, volume 210 of Proceedings of Machine Learning Research, page 1-2. PMLR, (2022)A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients.E. Moseley, J. Wu, J. Welt, J. Jr., P. Tyler, D. Grant, E. Carlson, S. Gehrmann, F. Dernoncourt, and L. Celi. LREC, page 1362-1367. European Language Resources Association, (2020)Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.S. Ghimire, S. Kashyap, J. Wu, A. Karargyris, and M. Moradi. MLMI@MICCAI, volume 12436 of Lecture Notes in Computer Science, page 644-653. Springer, (2020)Towards Visual Dialog for Radiology.O. Kovaleva, C. Shivade, S. Kashyap, K. Kanjaria, J. Wu, D. Ballah, A. Coy, A. Karargyris, Y. Guo, D. Beymer and 2 other author(s). BioNLP, page 60-69. Association for Computational Linguistics, (2020)Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development.A. Karargyris, S. Kashyap, I. Lourentzou, J. Wu, A. Sharma, M. Tong, S. Abedin, D. Beymer, V. Mukherjee, E. Krupinski and 1 other author(s). CoRR, (2020)Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities.J. Wu, Y. Gur, A. Karargyris, A. Syed, O. Boyko, M. Moradi, and T. Syeda-Mahmood. ISBI, page 799-803. IEEE, (2020)Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers.A. Karargyris, K. Wong, J. Wu, M. Moradi, and T. Syeda-Mahmood. ISBI, page 877-881. IEEE, (2019)Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.T. Syeda-Mahmood, H. Ahmad, N. Ansari, Y. Gur, S. Kashyap, A. Karargyris, M. Moradi, A. Pillai, K. Seshadhri, W. Wang and 2 other author(s). ISBI, page 863-867. IEEE, (2019)Visual Dialog for Radiology: Data Curation and FirstSteps.O. Kovaleva, C. Shivade, S. Kashyap, K. Kanjaria, A. Coy, D. Ballah, Y. Guo, J. Wu, A. Karargyris, D. Beymer and 2 other author(s). ViGIL@NeurIPS, (2019)

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Disambiguation of "Wu, Joy T."

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Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.

Please choose a person to relate this publication to

Martim Joyce-Moniz

Poickattil Joy

Joy Mukherjee

Reginald Arthur Joyner

Frank Joyeux

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Wu, Joy T."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.

Please choose a person to relate this publication to

Martim Joyce-Moniz

Poickattil Joy

Joy Mukherjee

Reginald Arthur Joyner

Frank Joyeux

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
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Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.