:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Shaoxuan, Chen, Jingkun, Ma, Chong, Shen, Cong, Zhang, Xiao, Feng, Jun
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition Artificial Intelligence
Acceso en línea:	https://arxiv.org/abs/2602.21657
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

HELPNet: Hierarchical Perturbations Consistency and Entropy-guided Ensemble for Scribble Supervised Medical Image Segmentation
por: Zhang, Xiao, et al.
Publicado: (2024)

Improving Imbalanced Multi-Label Chest X-Ray Diagnosis via CBAM-Enhanced CNN Backbones
por: Huu, Duy Nguyen, et al.
Publicado: (2026)

Learning Sparse Label Couplings for Multilabel Chest X-Ray Diagnosis
por: Srivastava, Utkarsh Prakash, et al.
Publicado: (2025)

Reasoning Visual Language Model for Chest X-Ray Analysis
por: Myronenko, Andriy, et al.
Publicado: (2025)

CXR-LanIC: Language-Grounded Interpretable Classifier for Chest X-Ray Diagnosis
por: Tang, Yiming, et al.
Publicado: (2025)

Stride-Net: Fairness-Aware Disentangled Representation Learning for Chest X-Ray Diagnosis
por: Rashid, Darakshan, et al.
Publicado: (2026)

Hybrid Explanation-Guided Learning for Transformer-Based Chest X-Ray Diagnosis
por: Shu, Shelley Zixin, et al.
Publicado: (2025)

Hybrid Vision Transformer_GAN Attribute Neutralizer for Mitigating Bias in Chest X_Ray Diagnosis
por: Solomon, Jobeal, et al.
Publicado: (2026)

XrayClaw: Cooperative-Competitive Multi-Agent Alignment for Trustworthy Chest X-ray Diagnosis
por: Young, Shawn, et al.
Publicado: (2026)

Momentum-Anchored Multi-Scale Fusion Model for Long-Tailed Chest X-Ray Classification
por: Khuong, Duy Hoang, et al.
Publicado: (2026)

X-Ray-CoT: Interpretable Chest X-ray Diagnosis with Vision-Language Models via Chain-of-Thought Reasoning
por: Ng, Chee, et al.
Publicado: (2025)

UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation
por: Zhang, Ruiheng, et al.
Publicado: (2026)

UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification
por: Dai, Tianjie, et al.
Publicado: (2023)

From Detection to Mitigation: Addressing Bias in Deep Learning Models for Chest X-Ray Diagnosis
por: Mottez, Clemence, et al.
Publicado: (2025)

Grounding Chest X-Ray Visual Question Answering with Generated Radiology Reports
por: Serra, Francesco Dalla, et al.
Publicado: (2025)

Gaze-directed Vision GNN for Mitigating Shortcut Learning in Medical Image
por: Wu, Shaoxuan, et al.
Publicado: (2024)

Prompt-Guided Generation of Structured Chest X-Ray Report Using a Pre-trained LLM
por: Li, Hongzhao, et al.
Publicado: (2024)

ChestGPT: Integrating Large Language Models and Vision Transformers for Disease Detection and Localization in Chest X-Rays
por: Khan, Shehroz S., et al.
Publicado: (2025)

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
por: Sun, Zhichao, et al.
Publicado: (2024)

AOR: Anatomical Ontology-Guided Reasoning for Medical Large Multimodal Model in Chest X-Ray Interpretation
por: Li, Qingqiu, et al.
Publicado: (2025)

SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays via Self-guidance
por: Ye, Shuchang, et al.
Publicado: (2024)

Radiologist-Guided Causal Concept Bottleneck Models for Chest X-Ray Interpretation
por: Rafferty, Amy, et al.
Publicado: (2026)

Knowledge-Augmented Language Models Interpreting Structured Chest X-Ray Findings
por: Davis, Alexander, et al.
Publicado: (2025)

Temporal Inversion for Learning Interval Change in Chest X-Rays
por: Ko, Hanbin, et al.
Publicado: (2026)

GEMeX: A Large-Scale, Groundable, and Explainable Medical VQA Benchmark for Chest X-ray Diagnosis
por: Liu, Bo, et al.
Publicado: (2024)

Faithful, Interpretable Chest X-ray Diagnosis with Anti-Aliased B-cos Networks
por: Kleinmann, Marcel, et al.
Publicado: (2025)

Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks
por: Arizmendi, Carlos, et al.
Publicado: (2025)

Interpreting Radiologist's Intention from Eye Movements in Chest X-ray Diagnosis
por: Pham, Trong-Thang, et al.
Publicado: (2025)

BenchX: A Unified Benchmark Framework for Medical Vision-Language Pretraining on Chest X-Rays
por: Zhou, Yang, et al.
Publicado: (2024)

Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report Generation
por: Nicolson, Aaron, et al.
Publicado: (2023)

Advancing Text-Driven Chest X-Ray Generation with Policy-Based Reinforcement Learning
por: Han, Woojung, et al.
Publicado: (2024)

MedPromptX: Grounded Multimodal Prompting for Chest X-ray Diagnosis
por: Shaaban, Mai A., et al.
Publicado: (2024)

VinDr-CXR-VQA: A Visual Question Answering Dataset for Explainable Chest X-Ray Analysis with Multi-Task Learning
por: Nguyen, Dang H., et al.
Publicado: (2025)

Multi-modal Masked Siamese Network Improves Chest X-Ray Representation Learning
por: Shurrab, Saeed, et al.
Publicado: (2024)

The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It
por: Nicolson, Aaron, et al.
Publicado: (2024)

Machine-Learning Based Detection of Coronary Artery Calcification Using Synthetic Chest X-Rays
por: Saeed, Dylan, et al.
Publicado: (2025)

RadJEPA: Radiology Encoder for Chest X-Rays via Joint Embedding Predictive Architecture
por: Khan, Anas Anwarul Haq, et al.
Publicado: (2026)

Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
por: Verma, Ashish, et al.
Publicado: (2025)

SharpXR: Structure-Aware Denoising for Pediatric Chest X-Rays
por: Abolade, Ilerioluwakiiye, et al.
Publicado: (2025)

Deep Learning-Powered Classification of Thoracic Diseases in Chest X-Rays
por: Lei, Yiming, et al.
Publicado: (2025)