Pranav Rajpurkar
26 papers · 2016–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (6) π Conference Polyglot (7) π Academic Marathon (9) πΊοΈ Taxonomy Completionist (43)
πΊοΈ
Taxonomy Completionist
(43)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
(8)
π§¬
Topic Evolution
π₯
Mega-Team
(20)
π
Conference Pioneer
π
Century Club
(21)
β
The Questioner
ποΈ
Keyword Collector
(81)
π₯
Unstoppable
(8)
β‘
Prolific Year
(6)
π
Trend Setter
Conferences
MIDL (9)
MLHC (7)
EMNLP (4)
EACL (2)
AAAI (1)
ACL (1)
CVPR (1)
NIPS (1)
Top co-authors
Keywords
chest x-ray
(8)
radiology report
(7)
medical imaging
(5)
large language model
(5)
contrastive learning
(3)
transfer learning
(2)
few-shot learning
(2)
code generation
(2)
report generation
(2)
radiology report generation
(2)
representation learning
(2)
multimodal learning
(2)
domain adaptation
(2)
clinical prediction
(2)
question answering
(1)
information extraction
(1)
relation extraction
(1)
natural language inference
(1)
knowledge distillation
(1)
depth estimation
(1)
Papers
The Doctor Will Agree With You Now: Sycophancy of Large Language Models in Multi-Turn Medical Conversations
EACL 2026
ReX-MLE: The Autonomous Agent Benchmark for Medical Imaging Challenges
MIDL 2026
Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis?
EACL 2026
Seeing Down the Line: Endoscopic Reconstruction with Centerline Constraints
MIDL 2026
Rendering with a Gut Feeling: Depth-Guided Triangle Splatting for Physically Consistent Colonoscopic Reconstruction
MIDL 2026
State-of-the-Art Text-Prompted Medical Segmentation Models Struggle to Ground Chest CT Findings
MLHC 2025
FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
CVPR 2025
FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores
MLHC 2024
Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report Generation
MLHC 2024
MedAutoCorrect: Image-Conditioned Autocorrection in Medical Reporting
MLHC 2024
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation
MIDL 2023
Exploring the Boundaries of GPT-4 in Radiology
EMNLP 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
Multimodal Clinical Benchmark for Emergency Care (MC-BEC): A Comprehensive Benchmark for Evaluating Foundation Models in Emergency Medicine
NIPS 2023
RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction
MLHC 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
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
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
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