Joy T. Wu

51 papers B 1Misc 6Journal 21Unranked 21
YearRankTypeTitle / Venue / Authors
2026 J jnl
GazeXPErT: An Expert Eye-tracking Dataset for Interpretable and Explainable AI in Oncologic FDG-PET/CT Scans.
CoRR
Joy T. Wu, Daniel Beckmann, Sarah Miller, Alexander Lee, Elizabeth Theng, Stephan Altmayer, Ken Chang, David Kersting, Tomoaki Otani, Brittany Z. Dashevsky, Hye Lim Park, Matteo Novello, Kip Guja, Curtis Langlotz, Ismini Lourentzou, Daniel Gruhl, Benjamin Risse, Guido A. Davidzon
2025 — conf
Evaluating Automated Radiology Report Quality Through Fine-Grained Phrasal Grounding of Clinical Findings.
ISBI
Razi Mahmood, Pingkun Yan, Diego Machado Reyes, Ge Wang, Mannudeep K. Kalra, Parisa Kaviani, Joy T. Wu, Tanveer F. Syeda-Mahmood
2025 — conf
Phrase-Grounded Fact-Checking for Automatically Generated Chest X-Ray Reports.
MICCAI (7)
Razi Mahmood, Diego Machado Reyes, Joy T. Wu, Parisa Kaviani, Ken C. L. Wong, Niharika D'Souza, Mannudeep K. Kalra, Ge Wang, Pingkun Yan, Tanveer F. Syeda-Mahmood
2025 J jnl
Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports.
CoRR
Razi Mahmood, Diego Machado Reyes, Joy T. Wu, Parisa Kaviani, Ken C. L. Wong, Niharika D'Souza, Mannudeep K. Kalra, Ge Wang, Pingkun Yan, Tanveer F. Syeda-Mahmood
2024 J jnl
Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports.
CoRR
Razi Mahmood, Ken C. L. Wong, Diego Machado Reyes, Niharika D'Souza, Luyao Shi, Joy T. Wu, Parisa Kaviani, Mannudeep K. Kalra, Ge Wang, Pingkun Yan, Pingkun Syeda-Mahmood
2024 J jnl
Evaluating Automated Radiology Report Quality through Fine-Grained Phrasal Grounding of Clinical Findings.
CoRR
Razi Mahmood, Pingkun Yan, Diego Machado Reyes, Ge Wang, Mannudeep K. Kalra, Parisa Kaviani, Joy T. Wu, Tanveer F. Syeda-Mahmood
2023 — conf
Discussion and recommendations from the 2023 "Gaze Meets ML" workshop breakout session.
Gaze Meets ML
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
2023 — ed.
Gaze Meets Machine Learning Workshop, 16 December 2023, New Orleans, Louisiana, USA.
Gaze Meets ML
Amarachi Madu Blessing, Joy T. Wu, Danca Zario, Elizabeth A. Krupinski, Satyananda Kashyap, Alexandros Karargyris
2022 — conf
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships Between Chest X-Rays.
MICCAI (1)
Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou
2022 J jnl
CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays.
CoRR
Gaurang Karwande, Amarachi Mbakawe, Joy T. Wu, Leo A. Celi, Mehdi Moradi, Ismini Lourentzou
2022 — conf
Preface.
Gaze Meets ML
Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi
2022 — ed.
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
Gaze Meets ML
Ismini Lourentzou, Joy T. Wu, Satyananda Kashyap, Alexandros Karargyris, Leo Anthony Celi, Ban Kawas, Sachin S. Talathi
2021 — conf
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray.
MICCAI (5)
Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler
2021 J jnl
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray.
CoRR
Nkechinyere N. Agu, Joy T. Wu, Hanqing Chao, Ismini Lourentzou, Arjun Sharma, Mehdi Moradi, Pingkun Yan, James A. Hendler
2021 — conf
Chest ImaGenome Dataset for Clinical Reasoning.
NeurIPS Datasets and Benchmarks
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
2021 J jnl
Chest ImaGenome Dataset for Clinical Reasoning.
CoRR
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
2021 Misc conf
Semantic Expansion of Clinician Generated Data Preferences for Automatic Patient Data Summarization.
AMIA
Ashutosh Jadhav, Tyler Baldwin, Joy T. Wu, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2020 B conf
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients.
LREC
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
2020 J jnl
A Corpus for Detecting High-Context Medical Conditions in Intensive Care Patient Notes Focusing on Frequently Readmitted Patients.
CoRR
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
2020 — conf
A Robust Network Architecture to Detect Normal Chest X-Ray Radiographs.
ISBI
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
2020 Misc conf
AI Accelerated Human-in-the-loop Structuring of Radiology Reports.
AMIA
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
2020 — conf
Automatic Bounding Box Annotation of Chest X-Ray Data for Localization of Abnormalities.
ISBI
Joy T. Wu, Yaniv Gur, Alexandros Karargyris, Ali Bin Syed, Orest B. Boyko, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020 — conf
Chest X-Ray Report Generation Through Fine-Grained Label Learning.
MICCAI (2)
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
2020 J jnl
Chest X-ray Report Generation through Fine-Grained Label Learning.
CoRR
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
2020 Misc conf
Combining Deep Learning and Knowledge-driven Reasoning for Chest X-Ray Findings Detection.
AMIA
Ashutosh Jadhav, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020 J jnl
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development.
CoRR
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
2020 J jnl
Extracting and Learning Fine-Grained Labels from Chest Radiographs.
CoRR
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko
2020 Misc conf
Extracting and Learning Fine-grained Labels from Chest Radiographs.
AMIA
Tanveer F. Syeda-Mahmood, Ken C. L. Wong, Joy T. Wu, Ashutosh Jadhav, Orest B. Boyko
2020 — conf
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets.
MLMI@MICCAI
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
2020 J jnl
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets.
CoRR
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
2020 — conf
Looking in the Right Place for Anomalies: Explainable Ai Through Automatic Location Learning.
ISBI
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020 J jnl
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning.
CoRR
Satyananda Kashyap, Alexandros Karargyris, Joy T. Wu, Yaniv Gur, Arjun Sharma, Ken C. L. Wong, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2020 — conf
Towards Visual Dialog for Radiology.
BioNLP
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
2019 J jnl
Age prediction using a large chest X-ray dataset.
CoRR
Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019 — conf
Age prediction using a large chest x-ray dataset.
Computer-Aided Diagnosis
Alexandros Karargyris, Satyananda Kashyap, Joy T. Wu, Arjun Sharma, Mehdi Moradi, Tanveer Fathima Syeda-Mahmood
2019 — conf
Artificial intelligence for point of care radiograph quality assessment.
Computer-Aided Diagnosis
Satyananda Kashyap, Mehdi Moradi, Alexandros Karargyris, Joy T. Wu, Michael Morris, Babak Saboury, Eliot L. Siegel, Tanveer F. Syeda-Mahmood
2019 — conf
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays.
MICCAI (6)
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
2019 J jnl
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays.
CoRR
Vaishnavi Subramanian, Hongzhi Wang, Joy T. Wu, Ken C. L. Wong, Arjun Sharma, Tanveer F. Syeda-Mahmood
2019 — conf
Boosting the Rule-Out Accuracy of Deep Disease Detection Using Class Weight Modifiers.
ISBI
Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019 J jnl
Boosting the rule-out accuracy of deep disease detection using class weight modifiers.
CoRR
Alexandros Karargyris, Ken C. L. Wong, Joy T. Wu, Mehdi Moradi, Tanveer F. Syeda-Mahmood
2019 — conf
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-Rays.
ISBI
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
2019 J jnl
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays.
CoRR
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
2019 J jnl
Identifying disease-free chest X-ray images with deep transfer learning.
CoRR
Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
2019 — conf
Identifying disease-free chest x-ray images with deep transfer learning.
Computer-Aided Diagnosis
Ken C. L. Wong, Mehdi Moradi, Joy T. Wu, Tanveer F. Syeda-Mahmood
2019 Misc conf
Identifying documented medical non-adherence from clinical notes using natural language processing.
AMIA
Joy T. Wu, David W. Grant, Shrey Lakhotia, Patrick D. Tyler, Daniel F. Gruhl, Chaitanya Shivade, Sebastian Gehrmann, Leo A. Celi
2019 — conf
Visual Dialog for Radiology: Data Curation and FirstSteps.
ViGIL@NeurIPS
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
2018 J jnl
Behind the scenes: A medical natural language processing project.
Int. J. Medical Informatics
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
2018 — conf
Classification of radiology reports by modality and anatomy: A comparative study.
BIBM
Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood
2018 J jnl
Classification of radiology reports by modality and anatomy: A comparative study.
CoRR
Marina Bendersky, Joy T. Wu, Tanveer F. Syeda-Mahmood
2018 Misc conf
Improving the Path from Diagnoses to Documentation: A Cognitive Review Tool for Clinical Notes and Administrative Records.
AMIA
Yufan Guo, Joy T. Wu, Tyler Baldwin, David Beymer, Vandana V. Mukherjee, Tanveer F. Syeda-Mahmood
2017 J jnl
Comparing Rule-Based and Deep Learning Models for Patient Phenotyping.
CoRR
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