Matthew P. Lungren
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
12
Venues
8
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
12 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | CHI | Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation. | Jiachen Li, Amanda K. Hall, Ruican Rachel Zhong, Selin S. Everett, Alyssa Unell, Hanwen Xu, Matthias Blondeel, Jonathan Carlson, Katie Claveau, Thulasee Jose, Tristan Naumann, David C. Rhew, Naiteek Sangani, Frank Tuan, James Weinstein, Varun Mishra, Elizabeth D. Mynatt, T. Scott Saponas, Hao Qiu, Leonardo Schettini, Joseph Samuel Preston, Aiden Gu, Naoto Usuyama, Zelalem Gero, Cliff Wong, Noel Christopher Codella, Hoifung Poon, Shrey Jain, Matthew P. Lungren, Eric Horvitz |
| 2025 | CVPR | BiomedParse-V: Scaling Foundation Model for Universal Text-Guided Volumetric Biomedical Image Segmentation. | Theodore Zhao, Ho Hin Lee, Alberto Santamara-Pang, Noel C. F. Codella, Sid Kiblawi, Yu Gu, Yu Fang, Wen Xuan Teng, Naiteek Sangani, Ivan Tarapov, Matthew P. Lungren, Matthias Blondeel, Tristan Naumann, Naoto Usuyama, Sheng Wang, Paul Vozila, Hoifung Poon, Mu Wei |
| 2024 | CHI | Multimodal Healthcare AI: Identifying and Designing Clinically Relevant Vision-Language Applications for Radiology. | Nur Yildirim, Hannah Richardson, Maria Teodora Wetscherek, Junaid Bajwa, Joseph Jacob, Mark Ames Pinnock, Stephen Harris, Daniel Coelho de Castro, Shruthi Bannur, Stephanie L. Hyland, Pratik Ghosh, Mercy Ranjit, Kenza Bouzid, Anton Schwaighofer, Fernando Prez-Garca, Harshita Sharma, Ozan Oktay, Matthew P. Lungren, Javier Alvarez-Valle, Aditya V. Nori, Anja Thieme |
| 2024 | CVPR | L2B: Learning to Bootstrap Robust Models for Combating Label Noise. | Yuyin Zhou, Xianhang Li, Fengze Liu, Qingyue Wei, Xuxi Chen, Lequan Yu, Cihang Xie, Matthew P. Lungren, Lei Xing |
| 2024 | ECCV | RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing. | Fernando Prez-Garca, Sam Bond-Taylor, Pedro P. Sanchez, Boris van Breugel, Daniel C. Castro, Harshita Sharma, Valentina Salvatelli, Maria T. A. Wetscherek, Hannah Richardson, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay, Maximilian Ilse |
| 2023 | CVPR | Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing. | Shruthi Bannur, Stephanie L. Hyland, Qianchu Liu, Fernando Prez-Garca, Maximilian Ilse, Daniel C. Castro, Benedikt Boecking, Harshita Sharma, Kenza Bouzid, Anja Thieme, Anton Schwaighofer, Maria Wetscherek, Matthew P. Lungren, Aditya V. Nori, Javier Alvarez-Valle, Ozan Oktay |
| 2023 | EMNLP | Exploring the Boundaries of GPT-4 in Radiology. | Qianchu Liu, Stephanie L. Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Wetscherek, Robert Tinn, Harshita Sharma, Fernando Prez-Garca, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle |
| 2023 | MICCAI | CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI. | Jameson Merkow, Arjun Soin, Jin Long, Joseph Paul Cohen, Smitha Saligrama, Christopher P. Bridge, Xiyu Yang, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P. Lungren |
| 2021 | ICCV | GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition. | Shih-Cheng Huang, Liyue Shen, Matthew P. Lungren, Serena Yeung |
| 2020 | EMNLP | Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT. | Akshay Smit, Saahil Jain, Pranav Rajpurkar, Anuj Pareek, Andrew Y. Ng, Matthew P. Lungren |
| 2019 | AAAI | CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. | Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng |
| 2019 | AMIA | Prediction of Imaging Outcomes from Electronic Health Records: Pulmonary Embolism Case-Study. | Imon Banerjee, Miji Sofela, Timothy Amrhein, Daniel L. Rubin, Roham Zamanian, Matthew P. Lungren |