Matthew P. Lungren
7 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26)
👥
Mega-Team · Squad
🚀
Conference Pioneer
Top co-authors
Research topics
Deep Learning
(6)
Artificial Intelligence
(4)
Machine Learning
(4)
Architectures
(4)
Core AI
(4)
Computer Vision
(3)
Healthcare & Medicine
(3)
Clinical
(3)
Domain-Specific
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(2)
Models
(2)
Application Areas
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
medical imaging
(3)
multimodal learning
(2)
zero-shot learning
(1)
transfer learning
(1)
noisy label learning
(1)
self-supervised learning
(1)
vision-language model
(1)
foundation model
(1)
robust classification
(1)
label noise
(1)
biomedical imaging
(1)
disease detection
(1)
latent representation
(1)
convolutional neural network
(1)
multimodal representation learning
(1)
image segmentation
(1)
image classification
(1)
noisy label
(1)
image-text retrieval
(1)
representation learning
(1)
Papers
Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-ray Populations
MIDL 2025
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
MAIRA at RRG24: A specialised large multimodal model for radiology report generation
ACL 2024
Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing
CVPR 2023
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
MIDL 2021
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition
ICCV 2021
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
AAAI 2019