Copertina

CLARiTy: A Vision Transformer for Multi-Label Classification and Weakly-Supervised Localization of Chest X-ray Pathologies

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Statheros, John M., Wang, Hairong, Klein, Richard
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification
di: Ashraf, S. M. Nabil, et al.
Pubblicazione: (2023)

Multi-Label Plant Species Classification with Self-Supervised Vision Transformers
di: Gustineli, Murilo, et al.
Pubblicazione: (2024)

Clinically-Inspired Hierarchical Multi-Label Classification of Chest X-rays with a Penalty-Based Loss Function
di: Asadi, Mehrdad, et al.
Pubblicazione: (2025)

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

LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task
di: Le-Duc, Khai, et al.
Pubblicazione: (2024)

Weakly Supervised Label Learning Flows
di: Lu, You, et al.
Pubblicazione: (2023)

Rethinking Consistent Multi-Label Classification Under Inexact Supervision
di: Wang, Wei, et al.
Pubblicazione: (2025)

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

RepViT-CXR: A Channel Replication Strategy for Vision Transformers in Chest X-ray Tuberculosis and Pneumonia Classification
di: Ahmed, Faisal
Pubblicazione: (2025)

Weakly-Supervised Contrastive Learning for Imprecise Class Labels
di: Zhou, Zi-Hao, et al.
Pubblicazione: (2025)

Bringing Clustering to MLL: Weakly-Supervised Clustering for Partial Multi-Label Learning
di: Chen, Yu, et al.
Pubblicazione: (2026)

A Comparative Study of CNN, ResNet, and Vision Transformers for Multi-Classification of Chest Diseases
di: Jain, Ananya, et al.
Pubblicazione: (2024)

Dynamic Layer Tying for Parameter-Efficient Transformers
di: Hay, Tamir David, et al.
Pubblicazione: (2024)

Low-Resolution Chest X-ray Classification via Knowledge Distillation and Multi-task Learning
di: Akhter, Yasmeena, et al.
Pubblicazione: (2024)

CXR-TFT: Multi-Modal Temporal Fusion Transformer for Predicting Chest X-ray Trajectories
di: Arora, Mehak, et al.
Pubblicazione: (2025)

Few Labels are all you need: A Weakly Supervised Framework for Appliance Localization in Smart-Meter Series
di: Petralia, Adrien, et al.
Pubblicazione: (2025)

ChEX: Interactive Localization and Region Description in Chest X-rays
di: Müller, Philip, et al.
Pubblicazione: (2024)

Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling
di: Müller, Philip, et al.
Pubblicazione: (2024)

Eyes on the Image: Gaze Supervised Multimodal Learning for Chest X-ray Diagnosis and Report Generation
di: Riju, Tanjim Islam, et al.
Pubblicazione: (2025)

A Reasoning-Enabled Vision-Language Foundation Model for Chest X-ray Interpretation
di: Zhang, Yabin, et al.
Pubblicazione: (2026)

SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label Smoothing
di: Wang, Hairong, et al.
Pubblicazione: (2024)

Weakly-Supervised Domain Adaptation with Proportion-Constrained Pseudo-Labeling
di: Okuo, Takumi, et al.
Pubblicazione: (2025)

Reliable Programmatic Weak Supervision with Confidence Intervals for Label Probabilities
di: Álvarez, Verónica, et al.
Pubblicazione: (2025)

Leveraging Transformers for Weakly Supervised Object Localization in Unconstrained Videos
di: Murtaza, Shakeeb, et al.
Pubblicazione: (2024)

MLVICX: Multi-Level Variance-Covariance Exploration for Chest X-ray Self-Supervised Representation Learning
di: Singh, Azad, et al.
Pubblicazione: (2024)

Multi-View Semi-Supervised Label Distribution Learning with Local Structure Complementarity
di: Xiao, Yanshan, et al.
Pubblicazione: (2025)

Hypergraph Transformer for Semi-Supervised Classification
di: Liu, Zexi, et al.
Pubblicazione: (2023)

Vision-Language Generative Model for View-Specific Chest X-ray Generation
di: Lee, Hyungyung, et al.
Pubblicazione: (2023)

A Disease Labeler for Chinese Chest X-Ray Report Generation
di: Wang, Mengwei, et al.
Pubblicazione: (2024)

MedRAX: Medical Reasoning Agent for Chest X-ray
di: Fallahpour, Adibvafa, et al.
Pubblicazione: (2025)

Benchmarking Uncertainty and its Disentanglement in multi-label Chest X-Ray Classification
di: Baur, Simon, et al.
Pubblicazione: (2025)

On Learning Latent Models with Multi-Instance Weak Supervision
di: Wang, Kaifu, et al.
Pubblicazione: (2023)

Contrastive Cross-Modal Learning for Infusing Chest X-ray Knowledge into ECGs
di: Punyamoorty, Vineet, et al.
Pubblicazione: (2025)

MedicalPatchNet: A Patch-Based Self-Explainable AI Architecture for Chest X-ray Classification
di: Wienholt, Patrick, et al.
Pubblicazione: (2025)

Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information
di: Serrano-Pérez, Jonathan, et al.
Pubblicazione: (2024)

Rethinking Weight Tying: Pseudo-Inverse Tying for LM Stable Training and Updates
di: Gu, Jian, et al.
Pubblicazione: (2026)

Label Cluster Chains for Multi-Label Classification
di: Gatto, Elaine Cecília, et al.
Pubblicazione: (2024)

Reproducing and Improving CheXNet: Deep Learning for Chest X-ray Disease Classification
di: Strick, Daniel J., et al.
Pubblicazione: (2025)

ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision
di: Sedova, Anastasiia, et al.
Pubblicazione: (2022)

Adaptive Thresholding for Multi-Label Classification via Global-Local Signal Fusion
di: Shamatrin, Dmytro
Pubblicazione: (2025)