A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Chong, Zhang, Yabin, Gao, Yunhe, Varma, Maya, Mottez, Clemence, Patsatzi, Faidra, Liu, Jiaming, Long, Jin, Delbrouck, Jean-Benoit, Gatidis, Sergios, Chaudhari, Akshay S., Langlotz, Curtis P. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision
por: Gao, Yunhe, et al.
Publicado: (2026)
por: Gao, Yunhe, et al.
Publicado: (2026)
Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
por: Zhang, Yabin, et al.
Publicado: (2026)
por: Zhang, Yabin, et al.
Publicado: (2026)
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
por: Varma, Maya, et al.
Publicado: (2025)
por: Varma, Maya, et al.
Publicado: (2025)
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
por: Varma, Maya, et al.
Publicado: (2024)
por: Varma, Maya, et al.
Publicado: (2024)
From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis
por: Mottez, Clemence, et al.
Publicado: (2025)
por: Mottez, Clemence, et al.
Publicado: (2025)
Foundation Models in Radiology: What, How, When, Why and Why Not
por: Paschali, Magdalini, et al.
Publicado: (2024)
por: Paschali, Magdalini, et al.
Publicado: (2024)
Process Reward Models for Sentence-Level Verification of LVLM Radiology Reports
por: Thomas, Alois, et al.
Publicado: (2025)
por: Thomas, Alois, et al.
Publicado: (2025)
Toward expanding the scope of radiology report summarization to multiple anatomies and modalities
por: Chen, Zhihong, et al.
Publicado: (2022)
por: Chen, Zhihong, et al.
Publicado: (2022)
Unpaired Image-to-Image Translation via a Self-Supervised Semantic Bridge
por: Liu, Jiaming, et al.
Publicado: (2026)
por: Liu, Jiaming, et al.
Publicado: (2026)
Structuring Radiology Reports: Challenging LLMs with Lightweight Models
por: Moll, Johannes, et al.
Publicado: (2025)
por: Moll, Johannes, et al.
Publicado: (2025)
A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation
por: Zhang, Yabin, et al.
Publicado: (2026)
por: Zhang, Yabin, et al.
Publicado: (2026)
Attention Head Entropy of LLMs Predicts Answer Correctness
por: Ostmeier, Sophie, et al.
Publicado: (2026)
por: Ostmeier, Sophie, et al.
Publicado: (2026)
LieRE: Lie Rotational Positional Encodings
por: Ostmeier, Sophie, et al.
Publicado: (2024)
por: Ostmeier, Sophie, et al.
Publicado: (2024)
GREEN: Generative Radiology Report Evaluation and Error Notation
por: Ostmeier, Sophie, et al.
Publicado: (2024)
por: Ostmeier, Sophie, et al.
Publicado: (2024)
Best Practices for Large Language Models in Radiology
por: Bluethgen, Christian, et al.
Publicado: (2024)
por: Bluethgen, Christian, et al.
Publicado: (2024)
CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback
por: Hein, Dennis, et al.
Publicado: (2024)
por: Hein, Dennis, et al.
Publicado: (2024)
A Probabilistic Generalization of the Mazur-Ulam Theorem
por: Zaliaduonis, Justinas, et al.
Publicado: (2026)
por: Zaliaduonis, Justinas, et al.
Publicado: (2026)
Unlocking Robust Segmentation Across All Age Groups via Continual Learning
por: Liu, Chih-Ying, et al.
Publicado: (2024)
por: Liu, Chih-Ying, et al.
Publicado: (2024)
Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis
por: Prakash, Eva, et al.
Publicado: (2024)
por: Prakash, Eva, et al.
Publicado: (2024)
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats
por: Chambon, Pierre, et al.
Publicado: (2024)
por: Chambon, Pierre, et al.
Publicado: (2024)
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization
por: Van Veen, Dave, et al.
Publicado: (2023)
por: Van Veen, Dave, et al.
Publicado: (2023)
Improving Performance, Robustness, and Fairness of Radiographic AI Models with Finely-Controllable Synthetic Data
por: Moroianu, Stefania L., et al.
Publicado: (2025)
por: Moroianu, Stefania L., et al.
Publicado: (2025)
MedVAE: Efficient Automated Interpretation of Medical Images with Large-Scale Generalizable Autoencoders
por: Varma, Maya, et al.
Publicado: (2025)
por: Varma, Maya, et al.
Publicado: (2025)
Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!"
por: Xu, Justin, et al.
Publicado: (2024)
por: Xu, Justin, et al.
Publicado: (2024)
A Vision-Language Foundation Model to Enhance Efficiency of Chest X-ray Interpretation
por: Chen, Zhihong, et al.
Publicado: (2024)
por: Chen, Zhihong, et al.
Publicado: (2024)
Improving the Performance of Radiology Report De-identification with Large-Scale Training and Benchmarking Against Cloud Vendor Methods
por: Prakash, Eva, et al.
Publicado: (2025)
por: Prakash, Eva, et al.
Publicado: (2025)
Ab initio simulations of neutron stars' oblique electrospheres with realistic neutron star parameters
por: Mottez, Fabrice
Publicado: (2024)
por: Mottez, Fabrice
Publicado: (2024)
CheXTemporal: A Dataset for Temporally-Grounded Reasoning in Chest Radiography
por: Prakash, Eva, et al.
Publicado: (2026)
por: Prakash, Eva, et al.
Publicado: (2026)
Sparse Autoencoders for Interpretable Medical Image Representation Learning
por: Wesp, Philipp, et al.
Publicado: (2026)
por: Wesp, Philipp, et al.
Publicado: (2026)
Highly efficient non-rigid registration in k-space with application to cardiac Magnetic Resonance Imaging
por: Ghoul, Aya, et al.
Publicado: (2024)
por: Ghoul, Aya, et al.
Publicado: (2024)
Automated Structured Radiology Report Generation
por: Delbrouck, Jean-Benoit, et al.
Publicado: (2025)
por: Delbrouck, Jean-Benoit, et al.
Publicado: (2025)
Retrospective motion correction in MRI using disentangled embeddings
por: Wang, Qi, et al.
Publicado: (2025)
por: Wang, Qi, et al.
Publicado: (2025)
Towards a Unified Theoretical Framework for Splitting-based Self-Supervised MRI Reconstruction
por: Xu, Siying, et al.
Publicado: (2026)
por: Xu, Siying, et al.
Publicado: (2026)
MIMM-X: Disentangling Spurious Correlations for Medical Image Analysis
por: Fay, Louisa, et al.
Publicado: (2025)
por: Fay, Louisa, et al.
Publicado: (2025)
Predictive uncertainty in deep learning–based MR image reconstruction using deep ensembles: Evaluation on the fastMRI data set
por: Thomas Küstner, et al.
Publicado: (2024)
por: Thomas Küstner, et al.
Publicado: (2024)
RadDiff: Describing Differences in Radiology Image Sets with Natural Language
por: Shen, Xiaoxian, et al.
Publicado: (2026)
por: Shen, Xiaoxian, et al.
Publicado: (2026)
CheXmix: Unified Generative Pretraining for Vision Language Models in Medical Imaging
por: Kumar, Ashwin, et al.
Publicado: (2026)
por: Kumar, Ashwin, et al.
Publicado: (2026)
Social Exchange: Barter as Economic and Cultural Activism in Medellín, Colombia. Brian J. Burke
por: Faidra Papavasiliou
Publicado: (2025)
por: Faidra Papavasiliou
Publicado: (2025)
Seeing Like a Smuggler: Borders from Below. Keshavarz, Mahmoud, and Shahram Khosravi, eds.
por: Faidra Papavasiliou
Publicado: (2024)
por: Faidra Papavasiliou
Publicado: (2024)
Sea Cucumber Stories. Paula Uimonen
por: Faidra Papavasiliou
Publicado: (2026)
por: Faidra Papavasiliou
Publicado: (2026)
Ejemplares similares
-
Learning Generalizable 3D Medical Image Representations from Mask-Guided Self-Supervision
por: Gao, Yunhe, et al.
Publicado: (2026) -
Activation Matters: Test-time Activated Negative Labels for OOD Detection with Vision-Language Models
por: Zhang, Yabin, et al.
Publicado: (2026) -
TRoVe: Discovering Error-Inducing Static Feature Biases in Temporal Vision-Language Models
por: Varma, Maya, et al.
Publicado: (2025) -
RaVL: Discovering and Mitigating Spurious Correlations in Fine-Tuned Vision-Language Models
por: Varma, Maya, et al.
Publicado: (2024) -
From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis
por: Mottez, Clemence, et al.
Publicado: (2025)