Matthew P. Lungren
7 papers · 2019–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (5) π Conference Polyglot (5) π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (24)
π£
Hot Topic Early Bird
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Renaissance Researcher
(5)
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Interdisciplinary Bridge
π₯
Mega-Team
(20)
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Trend Setter
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Conference Pioneer
Conferences
CVPR (2)
MIDL (2)
AAAI (1)
ACL (1)
ICCV (1)
Top co-authors
Keywords
medical imaging
(3)
zero-shot learning
(1)
convolutional neural network
(1)
transfer learning
(1)
noisy label learning
(1)
self-supervised learning
(1)
image segmentation
(1)
multimodal learning
(1)
robust classification
(1)
multi-modal learning
(1)
label noise
(1)
biomedical imaging
(1)
disease detection
(1)
latent representation
(1)
image classification
(1)
multimodal representation learning
(1)
foundation model
(1)
vision-language model
(1)
noisy label
(1)
representation learning
(1)
Papers
Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-ray Populations
MIDL 2025
MAIRA at RRG24: A specialised large multimodal model for radiology report generation
ACL 2024
L2B: Learning to Bootstrap Robust Models for Combating Label Noise
CVPR 2024
Learning To Exploit Temporal Structure for Biomedical Vision-Language Processing
CVPR 2023
GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-Efficient Medical Image Recognition
ICCV 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
MIDL 2021
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
AAAI 2019