Curtis Langlotz
26 papers · 2020–2026 · 10 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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🗺️ Taxonomy Completionist (50) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Diamond 🐣 Hot Topic Early Bird
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(2)
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(13)
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(8)
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
(116)
Venues
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Research topics
Machine Learning
(14)
Computer Vision
(11)
Healthcare & Medicine
(11)
Clinical
(11)
Artificial Intelligence
(10)
Deep Learning
(10)
Natural Language Processing
(9)
Application Areas
(9)
Domain-Specific
(9)
Core AI
(8)
Learning Types · Machine Learning
(8)
Generation
(7)
Learning Types · Deep Learning
(5)
Applications
(4)
Models
(4)
Keywords
medical imaging
(9)
radiology report
(8)
chest x-ray
(6)
vision-language model
(5)
radiology report generation
(4)
natural language generation
(4)
factual correctness
(4)
self-supervised learning
(3)
clinical text
(3)
report generation
(3)
multimodal learning
(3)
radiology report summarization
(3)
medical image
(2)
reinforcement learning
(2)
foundation model
(2)
zero-shot classification
(2)
named entity recognition
(2)
domain adaptation
(2)
text generation
(2)
text summarization
(2)
Papers
Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
CVPR 2026
Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision
CVPR 2026
Automated Structured Radiology Report Generation
ACL 2025
Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-ray Populations
MIDL 2025
CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback
ACL 2025
LieRE: Lie Rotational Positional Encodings
ICML 2025
MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion
AISTATS 2025
MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
MIDL 2025
Time-to-Event Pretraining for 3D Medical Imaging
ICLR 2025
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation
MIDL 2024
GREEN: Generative Radiology Report Evaluation and Error Notation
EMNLP 2024
Overview of the First Shared Task on Clinical Text Generation: RRG24 and “Discharge Me!”
ACL 2024
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports
ACL 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
NeurIPS 2024
A case for reframing automated medical image classification as segmentation
NeurIPS 2023
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
MIDL 2023
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms
NeurIPS 2023
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization
ACL 2023
RaLEs: a Benchmark for Radiology Language Evaluations
NeurIPS 2023
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities
ACL 2023
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
ICCV 2023
Improving the Factual Correctness of Radiology Report Generation with Semantic Rewards
EMNLP 2022
Cut out the annotator, keep the cutout: better segmentation with weak supervision
ICLR 2021
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation
NAACL 2021
Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain
NAACL 2021
Optimizing the Factual Correctness of a Summary: A Study of Summarizing Radiology Reports
ACL 2020