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2020 – today
- 2023
[c25]Alexandros Karargyris, Shuaib Ahmed, Ryan Anthony J. de Belen, Bonny Banerjee, Timur Ibrayev, Satyananda Kashyap, Elizabeth A. Krupinski, Chenyi Kuang, Paul Madu, Amarachi Madu, Silvia Makowski, Athul Mathew, Tim Rolff, Bert Shi, Joy T. Wu, Danca Zario:
Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session. Gaze Meets ML 2023: 280-288- [e2]Amarachi Madu Blessing, Joy T. Wu, Danca Zario, Elizabeth A. Krupinski, Satyananda Kashyap, Alexandros Karargyris:
Gaze Meets Machine Learning Workshop, 16 December 2023, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 226, PMLR 2023 [contents] - 2022
- [c24]Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi:
Preface. Gaze Meets ML 2022: 1-2 - [c23]Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou:
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays. MICCAI (1) 2022: 581-591 - [e1]Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi:
Proceedings of The 1st Gaze Meets ML workshop, in conjunction with the Annual Conference on Neural Information Processing Systems, 03 December 2022, New Orleans, USA. Proceedings of Machine Learning Research 210, PMLR 2022 [contents] - [i17]Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou:
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays. CoRR abs/2208.03873 (2022) - 2021
- [c22]Ashutosh Jadhav, Tyler Baldwin, Joy T. Wu, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization. AMIA 2021 - [c21]Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler:
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray. MICCAI (5) 2021: 804-813 - [c20]Joy T. Wu, Nkechinyere Agu, Ismini Lourentzou, Arjun Sharma, Joseph Alexander Paguio, Jasper Seth Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo Anthony Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. NeurIPS Datasets and Benchmarks 2021 - [i16]Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler:
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray. CoRR abs/2105.09937 (2021) - [i15]Joy T. Wu, Nkechinyere N. Agu, Ismini Lourentzou, Arjun Sharma, Joseph A. Paguio, Jasper S. Yao, Edward C. Dee, William Mitchell, Satyananda Kashyap, Andrea Giovannini, Leo A. Celi, Mehdi Moradi:
Chest ImaGenome Dataset for Clinical Reasoning. CoRR abs/2108.00316 (2021) - 2020
- [c19]Ashutosh Jadhav, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection. AMIA 2020 - [c18]Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko:
Extracting and Learning Fine-grained Labels from Chest Radiographs. AMIA 2020 - [c17]Joy T. Wu, Ali Bin Syed, Hassan M. Ahmad, Anup Pillai, Yaniv Gur, Ashutosh Jadhav, Daniel F. Gruhl, Linda Kato, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
AI Accelerated Human-in-the-loop Structuring of Radiology Reports. AMIA 2020 - [c16]Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Joy T. Wu, Deddeh Ballah, Adam Coy, Alexandros Karargyris, Yufan Guo, David James Beymer, Anna Rumshisky, Vandana V. Mukherjee:
Towards Visual Dialog for Radiology. BioNLP 2020: 60-69 - [c15]Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities. ISBI 2020: 799-803 - [c14]Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning. ISBI 2020: 1125-1129 - [c13]Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Anup Pillai, Arjun Sharma, Yaniv Gur, Hassan M. Ahmad, Minnekanti Sunil Chowdary, Chiranjeevi J, Kiran Kumar Reddy Polaka, Venkateswar Wunnava, D. C. Reddy, Tanveer F. Syeda-Mahmood:
A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs. ISBI 2020: 1851-1855 - [c12]Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote Jr., Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi:
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. LREC 2020: 1362-1367 - [c11]Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi:
Chest X-Ray Report Generation Through Fine-Grained Label Learning. MICCAI (2) 2020: 561-571 - [c10]Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi:
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. MLMI@MICCAI 2020: 644-653 - [i14]Edward T. Moseley, Joy T. Wu, Jonathan Welt, John Foote Jr., Patrick D. Tyler, David W. Grant, Eric T. Carlson, Sebastian Gehrmann, Franck Dernoncourt, Leo Anthony Celi:
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients. CoRR abs/2003.03044 (2020) - [i13]Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Yaniv Gur, Joy T. Wu, Ashutosh Jadhav, Satyananda Kashyap, Alexandros Karargyris, Anup Pillai, Arjun Sharma, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi:
Chest X-ray Report Generation through Fine-Grained Label Learning. CoRR abs/2007.13831 (2020) - [i12]Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning. CoRR abs/2008.00363 (2020) - [i11]Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi:
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. CoRR abs/2008.04152 (2020) - [i10]Alexandros Karargyris, Satyananda Kashyap, Ismini Lourentzou, Joy T. Wu, Arjun Sharma, Matthew Tong, Shafiq Abedin, David Beymer, Vandana V. Mukherjee, Elizabeth A. Krupinski, Mehdi Moradi:
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development. CoRR abs/2009.07386 (2020) - [i9]Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko:
Extracting and Learning Fine-Grained Labels from Chest Radiographs. CoRR abs/2011.09517 (2020)
2010 – 2019
- 2019
- [c9]Joy T. Wu, David W. Grant, Shrey Lakhotia, Patrick D. Tyler, Daniel F. Gruhl, Chaitanya Shivade, Sebastian Gehrmann, Leo A. Celi:
Identifying documented medical non-adherence from clinical notes using natural language processing. AMIA 2019 - [c8]Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, K. Seshadhri, Weiting Wang, Ken C. L. Wong, Joy T. Wu:
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays. ISBI 2019: 863-867 - [c7]Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers. ISBI 2019: 877-881 - [c6]Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Identifying disease-free chest x-ray images with deep transfer learning. Medical Imaging: Computer-Aided Diagnosis 2019: 109500P - [c5]Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood:
Age prediction using a large chest x-ray dataset. Medical Imaging: Computer-Aided Diagnosis 2019: 109501U - [c4]Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris
, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood:
Artificial intelligence for point of care radiograph quality assessment. Medical Imaging: Computer-Aided Diagnosis 2019: 109503K - [c3]Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood:
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. MICCAI (6) 2019: 522-530 - [i8]Olga Kovaleva, Chaitanya Shivade, Satyananda Kashyap, Karina Kanjaria, Adam Coy, Deddeh Ballah, Yufan Guo, Joy T. Wu, Alexandros Karargyris, David Beymer, Anna Rumshisky, Vandana V. Mukherjee:
Visual Dialog for Radiology: Data Curation and FirstSteps. ViGIL@NeurIPS 2019 - [i7]Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Age prediction using a large chest X-ray dataset. CoRR abs/1903.06542 (2019) - [i6]Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Identifying disease-free chest X-ray images with deep transfer learning. CoRR abs/1904.01654 (2019) - [i5]Tanveer F. Syeda-Mahmood, Hassan M. Ahmad, Nadeem Ansari, Yaniv Gur, Satyananda Kashyap, Alexandros Karargyris, Mehdi Moradi, Anup Pillai, Karthik Sheshadri, Weiting Wang, Ken C. L. Wong, Joy T. Wu:
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays. CoRR abs/1906.09336 (2019) - [i4]Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood:
Boosting the rule-out accuracy of deep disease detection using class weight modifiers. CoRR abs/1906.09354 (2019) - [i3]Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood:
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays. CoRR abs/1907.01656 (2019) - 2018
- [j1]Joy T. Wu, Franck Dernoncourt, Sebastian Gehrmann, Patrick D. Tyler, Edward T. Moseley, Eric T. Carlson, David W. Grant, Yeran Li, Jonathan Welt, Leo Anthony Celi:
Behind the scenes: A medical natural language processing project. Int. J. Medical Informatics 112: 68-73 (2018) - [c2]Yufan Guo, Joy T. Wu, Tyler Baldwin, David Beymer, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood:
Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records. AMIA 2018 - [c1]Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Classification of radiology reports by modality and anatomy: A comparative study. BIBM 2018: 1457-1464 - [i2]Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood:
Classification of radiology reports by modality and anatomy: A comparative study. CoRR abs/1812.10818 (2018) - 2017
- [i1]Sebastian Gehrmann, Franck Dernoncourt, Yeran Li, Eric T. Carlson, Joy T. Wu, Jonathan Welt, John Foote Jr., Edward T. Moseley, David W. Grant, Patrick D. Tyler, Leo Anthony Celi:
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping. CoRR abs/1703.08705 (2017)
Coauthor Index
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