Imagen de Portada

UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Dai, Tianjie, Zhang, Ruipeng, Hong, Feng, Yao, Jiangchao, Zhang, Ya, Wang, Yanfeng
Formato:	Preprint
Publicado:	2023
Materias:	Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

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

Grounded Knowledge-Enhanced Medical Vision-Language Pre-training for Chest X-Ray
por: Deng, Qiao, et al.
Publicado: (2024)

Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts
por: Zhang, Ruipeng, et al.
Publicado: (2024)

RadGenome-Chest CT: A Grounded Vision-Language Dataset for Chest CT Analysis
por: Zhang, Xiaoman, et al.
Publicado: (2024)

Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning
por: Zhao, Zihua, 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)

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

Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
por: Sun, Zhichao, 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)

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

CXR-LT 2026 Challenge: Projection-Aware Multi-Label and Zero-Shot Chest X-Ray Classification
por: Cho, Juno, et al.
Publicado: (2026)

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

Loss Design and Architecture Selection for Long-Tailed Multi-Label Chest X-Ray Classification
por: Sulake, Nikhileswara Rao
Publicado: (2026)

ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification
por: Fan, Ziqing, et al.
Publicado: (2025)

FixationFormer: Direct Utilization of Expert Gaze Trajectories for Chest X-Ray Classification
por: Beckmann, Daniel, et al.
Publicado: (2026)

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

XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays
por: Rahman, Umaima, 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)

LTCXNet: Advancing Chest X-Ray Analysis with Solutions for Long-Tailed Multi-Label Classification and Fairness Challenges
por: Huang, Chin-Wei, et al.
Publicado: (2024)

Following the Diagnostic Trace: Visual Cognition-guided Cooperative Network for Chest X-Ray Diagnosis
por: Wu, Shaoxuan, et al.
Publicado: (2026)

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

Concept-Guided Noisy Negative Suppression for Zero-Shot Classification and Grounding of Chest X-Ray Findings
por: Lian, Chenyu, et al.
Publicado: (2026)

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)

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

CBAM-Enhanced DenseNet121 for Multi-Class Chest X-Ray Classification with Grad-CAM Explainability
por: Dey, Utsho Kumar
Publicado: (2026)

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

Zero-shot Composed Text-Image Retrieval
por: Liu, Yikun, et al.
Publicado: (2023)

Multi-Modal Prototypes for Open-World Semantic Segmentation
por: Yang, Yuhuan, et al.
Publicado: (2023)

G4Seg: Generation for Inexact Segmentation Refinement with Diffusion Models
por: Zhang, Tianjiao, et al.
Publicado: (2025)

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

AdFair-CLIP: Adversarial Fair Contrastive Language-Image Pre-training for Chest X-rays
por: Yi, Chenlang, et al.
Publicado: (2025)

CRRG-CLIP: Automatic Generation of Chest Radiology Reports and Classification of Chest Radiographs
por: Xu, Jianfei, et al.
Publicado: (2024)

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

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

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

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

Multi-pathology Chest X-ray Classification with Rejection Mechanisms
por: Aperstein, Yehudit, et al.
Publicado: (2025)

DCA: Dividing and Conquering Amnesia in Incremental Object Detection
por: Zhang, Aoting, et al.
Publicado: (2025)

Chest Disease Detection In X-Ray Images Using Deep Learning Classification Method
por: Hazlett, Alanna, et al.
Publicado: (2025)