Joy T. Wu

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 43

Top Topics

Chest Radiographs

Data Summarization

Top Venues

Medical Imaging: Computer-Aided Diagnosis

Publications

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)
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)
Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi
Preface. Gaze Meets ML (2022)
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 (2022)
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 (2021)
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 (2021)
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)
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)
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)
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)
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 (2020)
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)
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 (2020)
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)
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)
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)
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. CoRR (2020)
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)
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)
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 (2020)
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 (2020)
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)
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)
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 (2020)
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)
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)
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 (2019)
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 (2019)
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)
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)
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)
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)
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)
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)
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 (2019)
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 (2019)
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 (2019)
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)
Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood
Classification of radiology reports by modality and anatomy: A comparative study. BIBM (2018)
Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood
Classification of radiology reports by modality and anatomy: A comparative study. CoRR (2018)
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)
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 (2018)
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 (2017)