LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-ray
Fuente:
arXiv
Guardado en:
| Autores principales: | Kang, Myeongkyun, Yang, Yanting, Li, Xiaoxiao |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
LoFi: Vision-Aided Label Generator for Wi-Fi Localization and Tracking
por: Zhao, Zijian, et al.
Publicado: (2024)
por: Zhao, Zijian, et al.
Publicado: (2024)
Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
por: Liu, Kang, et al.
Publicado: (2025)
por: Liu, Kang, et al.
Publicado: (2025)
PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
por: Liu, Kang, et al.
Publicado: (2025)
por: Liu, Kang, et al.
Publicado: (2025)
LoFi: Neural Local Fields for Scalable Image Reconstruction
por: Khorashadizadeh, AmirEhsan, et al.
Publicado: (2024)
por: Khorashadizadeh, AmirEhsan, et al.
Publicado: (2024)
Fine-Grained Representation for Lane Topology Reasoning
por: Xu, Guoqing, et al.
Publicado: (2025)
por: Xu, Guoqing, et al.
Publicado: (2025)
EVOKE: Elevating Chest X-ray Report Generation via Multi-View Contrastive Learning and Patient-Specific Knowledge
por: Miao, Qiguang, et al.
Publicado: (2024)
por: Miao, Qiguang, et al.
Publicado: (2024)
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification
por: Mohamed, Youssef, et al.
Publicado: (2025)
por: Mohamed, Youssef, et al.
Publicado: (2025)
Seeing Like Radiologists: Context- and Gaze-Guided Vision-Language Pretraining for Chest X-rays
por: Liu, Kang, et al.
Publicado: (2026)
por: Liu, Kang, et al.
Publicado: (2026)
AT-CXR: Uncertainty-Aware Agentic Triage for Chest X-rays
por: Li, Xueyang, et al.
Publicado: (2025)
por: Li, Xueyang, et al.
Publicado: (2025)
MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis
por: Shaaban, Mai A., et al.
Publicado: (2024)
por: Shaaban, Mai A., et al.
Publicado: (2024)
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer
por: Li, Xinran, et al.
Publicado: (2025)
por: Li, Xinran, et al.
Publicado: (2025)
CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale
por: Liang, Xiao, et al.
Publicado: (2025)
por: Liang, Xiao, et al.
Publicado: (2025)
Fine-Grained Urban Flow Inference with Multi-scale Representation Learning
por: Yuan, Shilu, et al.
Publicado: (2024)
por: Yuan, Shilu, et al.
Publicado: (2024)
Anatomically-Grounded Fact Checking of Automated Chest X-ray Reports
por: Mahmood, R., et al.
Publicado: (2024)
por: Mahmood, R., et al.
Publicado: (2024)
Interpreting Radiologist's Intention from Eye Movements in Chest X-ray Diagnosis
por: Pham, Trong-Thang, et al.
Publicado: (2025)
por: Pham, Trong-Thang, et al.
Publicado: (2025)
Phrase-grounded Fact-checking for Automatically Generated Chest X-ray Reports
por: Mahmood, Razi, et al.
Publicado: (2025)
por: Mahmood, Razi, et al.
Publicado: (2025)
PadChest-GR: A Bilingual Chest X-ray Dataset for Grounded Radiology Report Generation
por: Castro, Daniel C., et al.
Publicado: (2024)
por: Castro, Daniel C., et al.
Publicado: (2024)
CXReasonBench: A Benchmark for Evaluating Structured Diagnostic Reasoning in Chest X-rays
por: Lee, Hyungyung, et al.
Publicado: (2025)
por: Lee, Hyungyung, et al.
Publicado: (2025)
Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types
por: Chen, Chi-Yu, et al.
Publicado: (2025)
por: Chen, Chi-Yu, et al.
Publicado: (2025)
GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis
por: Liu, Bo, et al.
Publicado: (2024)
por: Liu, Bo, et al.
Publicado: (2024)
Temporal Inversion for Learning Interval Change in Chest X-Rays
por: Ko, Hanbin, et al.
Publicado: (2026)
por: Ko, Hanbin, et al.
Publicado: (2026)
Multi-task Cross-modal Learning for Chest X-ray Image Retrieval
por: Liang, Zhaohui, et al.
Publicado: (2026)
por: Liang, Zhaohui, et al.
Publicado: (2026)
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
por: Liu, Kang, et al.
Publicado: (2024)
por: Liu, Kang, et al.
Publicado: (2024)
WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification
por: Rio-Torto, Isabel, et al.
Publicado: (2026)
por: Rio-Torto, Isabel, et al.
Publicado: (2026)
CoFiI2P: Coarse-to-Fine Correspondences for Image-to-Point Cloud Registration
por: Kang, Shuhao, et al.
Publicado: (2023)
por: Kang, Shuhao, et al.
Publicado: (2023)
Chest X-ray Pneumothorax Segmentation Using EfficientNet-B4 Transfer Learning in a U-Net Architecture
por: Roque, Alvaro Aranibar, et al.
Publicado: (2025)
por: Roque, Alvaro Aranibar, et al.
Publicado: (2025)
Chest X-ray Classification using Deep Convolution Models on Low-resolution images with Uncertain Labels
por: Agarwal, Snigdha, et al.
Publicado: (2025)
por: Agarwal, Snigdha, et al.
Publicado: (2025)
PaliGemma-CXR: A Multi-task Multimodal Model for TB Chest X-ray Interpretation
por: Musinguzi, Denis, et al.
Publicado: (2025)
por: Musinguzi, Denis, et al.
Publicado: (2025)
Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning
por: Shurrab, Saeed, et al.
Publicado: (2024)
por: Shurrab, Saeed, et al.
Publicado: (2024)
Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images
por: Khadidos, Adil O., et al.
Publicado: (2026)
por: Khadidos, Adil O., et al.
Publicado: (2026)
Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis
por: Shu, Shelley Zixin, et al.
Publicado: (2025)
por: Shu, Shelley Zixin, et al.
Publicado: (2025)
Instruction-Free Tuning of Large Vision Language Models for Medical Instruction Following
por: Kang, Myeongkyun, et al.
Publicado: (2026)
por: Kang, Myeongkyun, et al.
Publicado: (2026)
Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models
por: Xiong, Guangzhi, et al.
Publicado: (2026)
por: Xiong, Guangzhi, et al.
Publicado: (2026)
Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models
por: Ji, Anyang, et al.
Publicado: (2025)
por: Ji, Anyang, et al.
Publicado: (2025)
Block-wise LoRA: Revisiting Fine-grained LoRA for Effective Personalization and Stylization in Text-to-Image Generation
por: Li, Likun, et al.
Publicado: (2024)
por: Li, Likun, et al.
Publicado: (2024)
Fine-Grained Scene Graph Generation via Sample-Level Bias Prediction
por: Li, Yansheng, et al.
Publicado: (2024)
por: Li, Yansheng, et al.
Publicado: (2024)
MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
por: Singh, Azad, et al.
Publicado: (2024)
por: Singh, Azad, et al.
Publicado: (2024)
SASP: Strip-Aware Spatial Perception for Fine-Grained Bird Image Classification
por: Wang, Zheng
Publicado: (2025)
por: Wang, Zheng
Publicado: (2025)
Learning Relative Representations for Fine-Grained Multimodal Alignment with Limited Data
por: Kim, Shiwon, et al.
Publicado: (2026)
por: Kim, Shiwon, et al.
Publicado: (2026)
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)
Ejemplares similares
-
LoFi: Vision-Aided Label Generator for Wi-Fi Localization and Tracking
por: Zhao, Zijian, et al.
Publicado: (2024) -
Enhanced Contrastive Learning with Multi-view Longitudinal Data for Chest X-ray Report Generation
por: Liu, Kang, et al.
Publicado: (2025) -
PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation
por: Liu, Kang, et al.
Publicado: (2025) -
LoFi: Neural Local Fields for Scalable Image Reconstruction
por: Khorashadizadeh, AmirEhsan, et al.
Publicado: (2024) -
Fine-Grained Representation for Lane Topology Reasoning
por: Xu, Guoqing, et al.
Publicado: (2025)