CheXTemporal: A Dataset for Temporally-Grounded Reasoning in Chest Radiography
Fuente:
arXiv
Saved in:
| Main Authors: | Prakash, Eva, Gao, Yunhe, Wang, Chong, Xu, Justin, Prakash, Neal, Michalson, Arne, Dehkharghani, Seena, Hong, Eun Kyoung, Bauml, Julie, Boodoo, Roger, Delbrouck, Jean-Benoit, Ostmeier, Sophie, Langlotz, Curtis |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation
by: Zhang, Yabin, et al.
Published: (2026)
by: Zhang, Yabin, et al.
Published: (2026)
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
by: Varma, Maya, et al.
Published: (2025)
by: Varma, Maya, et al.
Published: (2025)
GREEN: Generative Radiology Report Evaluation and Error Notation
by: Ostmeier, Sophie, et al.
Published: (2024)
by: Ostmeier, Sophie, et al.
Published: (2024)
CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback
by: Hein, Dennis, et al.
Published: (2024)
by: Hein, Dennis, et al.
Published: (2024)
From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis
by: Mottez, Clemence, et al.
Published: (2025)
by: Mottez, Clemence, et al.
Published: (2025)
Structuring Radiology Reports: Challenging LLMs with Lightweight Models
by: Moll, Johannes, et al.
Published: (2025)
by: Moll, Johannes, et al.
Published: (2025)
Editorial for “Assessment the Impact of IDH Mutation Status on MRI Assessments of White Matter Integrity in Glioma Patients: Insights From Peak Width of Skeletonized Mean Diffusivity and Free Water Metrics”
by: Steven Benitez, et al.
Published: (2024)
by: Steven Benitez, et al.
Published: (2024)
Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
by: Zhang, Yabin, et al.
Published: (2026)
by: Zhang, Yabin, et al.
Published: (2026)
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats
by: Chambon, Pierre, et al.
Published: (2024)
by: Chambon, Pierre, et al.
Published: (2024)
Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods
by: Prakash, Eva, et al.
Published: (2025)
by: Prakash, Eva, et al.
Published: (2025)
Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision
by: Gao, Yunhe, et al.
Published: (2026)
by: Gao, Yunhe, et al.
Published: (2026)
Process Reward Models for Sentence-Level Verification of LVLM Radiology Reports
by: Thomas, Alois, et al.
Published: (2025)
by: Thomas, Alois, et al.
Published: (2025)
Visualization and Assessment of the Venous Plexus of Rektorzik on Ultrahigh Resolution Vessel Wall MRI
by: Siddhant Dogra, et al.
Published: (2025)
by: Siddhant Dogra, et al.
Published: (2025)
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
by: Chen, Zhihong, et al.
Published: (2022)
by: Chen, Zhihong, et al.
Published: (2022)
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
by: Varma, Maya, et al.
Published: (2024)
by: Varma, Maya, et al.
Published: (2024)
RadEval: A framework for radiology text evaluation
by: Xu, Justin, et al.
Published: (2025)
by: Xu, Justin, et al.
Published: (2025)
LieRE: Lie Rotational Positional Encodings
by: Ostmeier, Sophie, et al.
Published: (2024)
by: Ostmeier, Sophie, et al.
Published: (2024)
Automated Structured Radiology Report Generation
by: Delbrouck, Jean-Benoit, et al.
Published: (2025)
by: Delbrouck, Jean-Benoit, et al.
Published: (2025)
CheX-GPT: Harnessing Large Language Models for Enhanced Chest X-ray Report Labeling
by: Gu, Jawook, et al.
Published: (2024)
by: Gu, Jawook, et al.
Published: (2024)
A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling
by: Wang, Chong, et al.
Published: (2026)
by: Wang, Chong, et al.
Published: (2026)
The Role of Plain Radiography in Diagnosing Brodie's Abscess: Clinical Image
by: Ujjwal Prakash Khanal, et al.
Published: (2024)
by: Ujjwal Prakash Khanal, et al.
Published: (2024)
Learning Anatomically Consistent Embedding for Chest Radiography
by: Zhou, Ziyu, et al.
Published: (2023)
by: Zhou, Ziyu, et al.
Published: (2023)
A Generative Foundation Model for Chest Radiography
by: Ji, Yuanfeng, et al.
Published: (2025)
by: Ji, Yuanfeng, et al.
Published: (2025)
Attention Head Entropy of LLMs Predicts Answer Correctness
by: Ostmeier, Sophie, et al.
Published: (2026)
by: Ostmeier, Sophie, et al.
Published: (2026)
Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis
by: Prakash, Eva, et al.
Published: (2024)
by: Prakash, Eva, et al.
Published: (2024)
FactCheXcker: Mitigating Measurement Hallucinations in Chest X-ray Report Generation Models
by: Heiman, Alice, et al.
Published: (2024)
by: Heiman, Alice, et al.
Published: (2024)
XBench: A Comprehensive Benchmark for Visual-Language Explanations in Chest Radiography
by: Luo, Haozhe, et al.
Published: (2025)
by: Luo, Haozhe, et al.
Published: (2025)
A Generative Framework for Bidirectional Image-Report Understanding in Chest Radiography
by: Evans, Nicholas, et al.
Published: (2025)
by: Evans, Nicholas, et al.
Published: (2025)
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation
by: Deshpande, Tanvi, et al.
Published: (2024)
by: Deshpande, Tanvi, et al.
Published: (2024)
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!"
by: Xu, Justin, et al.
Published: (2024)
by: Xu, Justin, et al.
Published: (2024)
Clinical Implications of the Obstructive Pattern on Chest Radiography in Children Aged 3–59 Months With Severe Lower Respiratory Tract Infections
by: Moon Ki Shim, et al.
Published: (2024)
by: Moon Ki Shim, et al.
Published: (2024)
Effect of Reporting Mode and Clinical Experience on Radiologists' Gaze and Image Analysis Behavior in Chest Radiography
by: Khoobi, Mahta, et al.
Published: (2025)
by: Khoobi, Mahta, et al.
Published: (2025)
MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
by: Varma, Maya, et al.
Published: (2025)
by: Varma, Maya, et al.
Published: (2025)
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
by: Xiang, Tiange, et al.
Published: (2024)
by: Xiang, Tiange, et al.
Published: (2024)
Comparative Evaluation of Radiomics and Deep Learning Models for Disease Detection in Chest Radiography
by: He, Zhijin, et al.
Published: (2025)
by: He, Zhijin, et al.
Published: (2025)
Learning Sparse Label Couplings for Multilabel Chest X-Ray Diagnosis
by: Srivastava, Utkarsh Prakash, et al.
Published: (2025)
by: Srivastava, Utkarsh Prakash, et al.
Published: (2025)
Oekologieorientierte Produktinnovationen
by: Ostmeier, Hanns
Published: (2019)
by: Ostmeier, Hanns
Published: (2019)
An experimental system for detection and localization of hemorrhage using ultra-wideband microwaves with deep learning
by: Hedayati, Eisa, et al.
Published: (2023)
by: Hedayati, Eisa, et al.
Published: (2023)
Idiotism
by: Curtis, Neal
Published: (2021)
by: Curtis, Neal
Published: (2021)
Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data
by: Queiroz, Dilermando, et al.
Published: (2024)
by: Queiroz, Dilermando, et al.
Published: (2024)
Similar Items
-
A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation
by: Zhang, Yabin, et al.
Published: (2026) -
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
by: Varma, Maya, et al.
Published: (2025) -
GREEN: Generative Radiology Report Evaluation and Error Notation
by: Ostmeier, Sophie, et al.
Published: (2024) -
CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback
by: Hein, Dennis, et al.
Published: (2024) -
From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis
by: Mottez, Clemence, et al.
Published: (2025)