Curtis Langlotz
24 papers · 2020–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (9)
π
Conference Polyglot
(9)
π
Academic Marathon
(5)
π
Renaissance Researcher
(9)
π€
Dynamic Duo
(10)
π§¬
Topic Evolution
π
Keyword Champion
(2)
π
Century Club
(22)
β‘
Prolific Year
(7)
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(77)
Conferences
ACL (7)
MIDL (4)
NIPS (4)
EMNLP (2)
ICLR (2)
NAACL (2)
AISTATS (1)
ICCV (1)
ICML (1)
Top co-authors
Keywords
medical imaging
(9)
radiology report
(8)
chest x-ray
(6)
natural language generation
(4)
factual correctness
(4)
radiology report generation
(4)
clinical text
(3)
radiology report summarization
(3)
vision-language model
(3)
report generation
(3)
text generation
(2)
named entity recognition
(2)
impression generation
(2)
multimodal learning
(2)
natural language understanding
(2)
domain adaptation
(2)
zero-shot classification
(2)
self-supervised learning
(2)
text summarization
(2)
reinforcement learning
(2)
Papers
MEDUSA: Medical Data Under Shadow Attacks via Hybrid Model Inversion
AISTATS 2025
LieRE: Lie Rotational Positional Encodings
ICML 2025
MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
MIDL 2025
Automated Structured Radiology Report Generation
ACL 2025
CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback
ACL 2025
Beyond the Prompt: Deploying Medical Foundation Models on Diverse Chest X-ray Populations
MIDL 2025
Time-to-Event Pretraining for 3D Medical Imaging
ICLR 2025
GREEN: Generative Radiology Report Evaluation and Error Notation
EMNLP 2024
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
NIPS 2024
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation
MIDL 2024
Overview of the First Shared Task on Clinical Text Generation: RRG24 and βDischarge Me!β
ACL 2024
RadGraph-XL: A Large-Scale Expert-Annotated Dataset for Entity and Relation Extraction from Radiology Reports
ACL 2024
INSPECT: A Multimodal Dataset for Patient Outcome Prediction of Pulmonary Embolisms
NIPS 2023
A case for reframing automated medical image classification as segmentation
NIPS 2023
RaLEs: a Benchmark for Radiology Language Evaluations
NIPS 2023
Toward Expanding the Scope of Radiology Report Summarization to Multiple Anatomies and Modalities
ACL 2023
Overview of the RadSum23 Shared Task on Multi-modal and Multi-anatomical Radiology Report Summarization
ACL 2023
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
ICCV 2023
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
MIDL 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