Pranav Rajpurkar
26 papers · 2016–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (51) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Mega-Team Β· Squad
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Keyword Champion
(8)
π§
Keyword Pioneer
π
Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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The Questioner
β‘
Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(114)
Top co-authors
Research topics
Keywords
radiology report
(8)
chest x-ray
(8)
large language model
(7)
medical imaging
(5)
contrastive learning
(3)
radiology report generation
(3)
transfer learning
(2)
few-shot learning
(2)
representation learning
(2)
code generation
(2)
report generation
(2)
multimodal learning
(2)
clinical prediction
(2)
domain adaptation
(2)
information extraction
(1)
relation extraction
(1)
natural language inference
(1)
knowledge distillation
(1)
self-supervised learning
(1)
semi-supervised learning
(1)
Papers
Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?
EACL 2026
Rendering with a Gut Feeling: Depth-Guided Triangle Splatting for Physically Consistent Colonoscopic Reconstruction
MIDL 2026
ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges
MIDL 2026
Seeing Down the Line: Endoscopic Reconstruction with Centerline Constraints
MIDL 2026
The Doctor Will Agree With You Now: Sycophancy of Large Language Models in Multi-Turn Medical Conversations
EACL 2026
FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
CVPR 2025
State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings
MLHC 2025
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation
MLHC 2024
FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores
MLHC 2024
MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting
MLHC 2024
Exploring the Boundaries of GPT-4 in Radiology
EMNLP 2023
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
NeurIPS 2023
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation
MIDL 2023
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction
MLHC 2023
Style-Aware Radiology Report Generation with RadGraph and Few-Shot Prompting
EMNLP 2023
Video pretraining advances 3D deep learning on chest CT tasks
MIDL 2023
MedSelect: Selective Labeling for Medical Image Classification Using Meta-Learning
MIDL 2022
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays
MLHC 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
MIDL 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
MLHC 2021
MoCo Pretraining Improves Representation and Transferability of Chest X-ray Models
MIDL 2021
Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
MIDL 2021
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
EMNLP 2020
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
AAAI 2019
Know What You Donβt Know: Unanswerable Questions for SQuAD
ACL 2018
SQuAD: 100,000+ Questions for Machine Comprehension of Text
EMNLP 2016