Matthew P. Lungren

Principal Researcher, Microsoft

Joined

April 2018

Names

Matthew P. Lungren (Preferred)

Emails

****@stanford.edu (Confirmed)

****@microsoft.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Principal Researcher

Microsoft (microsoft.com)

2021 – Present

Principal Researcher

Amazon (amazon.com)

2021 – 2021

Associate Professor

Stanford University (stanford.edu)

2014 – 2020

Advisors, Relations & Conflicts

Coauthor

Curt Langlotz

2015 – 2023

Coauthor

Pranav Rajpurkar

2015 – 2023

Expertise

Machine Learning

2015 – 2023

Computer Vision

2015 – 2023

Publications

CancerGUIDE: Cancer Guideline Understanding via Internal Disagreement Estimation
Alyssa Unell, Noel C Codella, J. Samuel Preston, Peniel Argaw, Wen-wai Yim, Zelalem Gero, Cliff Wong, Eric Horvitz, Amanda Hall, Rachel Ruican Zhong, Jiachen Li, Shrey Jain, Mu Wei, Matthew P. Lungren, Hoifung Poon
- GenAI4Health 2025 Poster
- Readers: Everyone
BiomedParse-V : Scaling Foundation Model for Universal Text-guided Volumetric Biomedical Image Segmentation
Theodore Zhao, Ho Hin Lee, Alberto Santamaria-Pang, Noel C Codella, Sid Kiblawi, Yu Gu, Yu Fang, Wenxuan Teng, Naiteek Sangani, Ivan Tarapov, Matthew P. Lungren, Matthias Blondeel, Tristan Naumann, Naoto Usuyama, Sheng Wang, Paul Vozila, Hoifung Poon, Mu Wei
- CVPR 2025 Workshop MedSegFM Submission
- Readers: Everyone
Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-ray Populations
Louisa Fay, Jean-Benoit Delbrouck, Thomas Küstner, Bin Yang, Noel C Codella, Matthew P. Lungren, Curtis Langlotz, Sergios Gatidis
- MIDL 2025 Poster
- Readers: Everyone
Benchmark Dataset for Radiology Report Generation with Instructions and Contexts
Brian Nlong Zhao, Zilong Wang, XINYANG JIANG, Xufang Luo, Yifan Yang, Bo Li, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
- Submitted to ICLR 2025
- Readers: Everyone
MAIRA-1: A specialised large multimodal model for radiology report generation
Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Mercy Prasanna Ranjit, Anton Schwaighofer, Fernando Pérez-García, Valentina Salvatelli, Shaury srivastav, Anja Thieme, Noel C Codella, Matthew P. Lungren, Maria Teodora Wetscherek, Ozan Oktay, Javier Alvarez-Valle
- arXiv
- Readers: Everyone
MedJourney: Counterfactual Medical Image Generation by Instruction-Learning from Multimodal Patient Journeys
Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon
- Submitted to ICLR 2024
- Readers: Everyone
Large Multimodal Model for Real-World Radiology Report Generation
Brian Nlong Zhao, XINYANG JIANG, Xufang Luo, Yifan Yang, Bo Li, Zilong Wang, Javier Alvarez-Valle, Matthew P. Lungren, Dongsheng Li, Lili Qiu
- Submitted to ICLR 2024
- Readers: Everyone
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
- ICLR 2024 Conference Withdrawn Submission
- Readers: Everyone
Exploring the Boundaries of GPT-4 in Radiology
Qianchu Liu, Stephanie Hyland, Shruthi Bannur, Kenza Bouzid, Daniel C. Castro, Maria Teodora Wetscherek, Robert Tinn, Harshita Sharma, Fernando Pérez-García, Anton Schwaighofer, Pranav Rajpurkar, Sameer Tajdin Khanna, Hoifung Poon, Naoto Usuyama, Anja Thieme, Aditya V. Nori, Matthew P. Lungren, Ozan Oktay, Javier Alvarez-Valle
- EMNLP 2023 Main
- Readers: Everyone
INSPECT: A Multimodal Dataset for Pulmonary Embolism Diagnosis and Prognosis
Shih-Cheng Huang, Zepeng Huo, Ethan Steinberg, Chia-Chun Chiang, Matthew P. Lungren, Curtis Langlotz, Serena Yeung, Nigam Shah, Jason Alan Fries
- NeurIPS 2023 Datasets and Benchmarks Poster
- Readers: Everyone

View all 15 publications

Co-Authors

View all 107 co-authors