Cover Image

From Isolation to Collaboration: Federated Class-Heterogeneous Learning for Chest X-Ray Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kulkarni, Pranav, Kanhere, Adway, Yi, Paul H., Parekh, Vishwa S.
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning Image and Video Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning
by: Kulkarni, Pranav, et al.
Published: (2024)

ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging
by: Kulkarni, Pranav, et al.
Published: (2023)

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

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

Asynchronous Decentralized Federated Lifelong Learning for Landmark Localization in Medical Imaging
by: Zheng, Guangyao, et al.
Published: (2023)

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

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

Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
by: Pramana, A. A. G. Yogi, et al.
Published: (2024)

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

Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
by: S, Sree Rama Vamsidhar, et al.
Published: (2024)

Advance Warning Methodologies for COVID-19 using Chest X-Ray Images
by: Ahishali, Mete, et al.
Published: (2020)

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

Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
by: Capellán-Martín, Daniel, et al.
Published: (2024)

Few-shot learning for COVID-19 Chest X-Ray Classification with Imbalanced Data: An Inter vs. Intra Domain Study
by: Galán-Cuenca, Alejandro, et al.
Published: (2024)

Evaluating and Improving the Effectiveness of Synthetic Chest X-Rays for Medical Image Analysis
by: Prakash, Eva, et al.
Published: (2024)

Explainable Lung Disease Classification from Chest X-Ray Images Utilizing Deep Learning and XAI
by: Ifty, Tanzina Taher, et al.
Published: (2024)

AttCDCNet: Attention-enhanced Chest Disease Classification using X-Ray Images
by: Khater, Omar Hesham, et al.
Published: (2024)

Chest X-Rays Image Classification from beta-Variational Autoencoders Latent Features
by: Crespi, Leonardo, et al.
Published: (2021)

InfLocNet: Enhanced Lung Infection Localization and Disease Detection from Chest X-Ray Images Using Lightweight Deep Learning
by: Miah, Md. Asiful Islam, et al.
Published: (2024)

Anatomic Feature Fusion Model for Diagnosing Calcified Pulmonary Nodules on Chest X-Ray
by: Choi, Hyeonjin, et al.
Published: (2025)

A Heterogeneous Ensemble for Multi-Center COVID-19 Classification from Chest CT Scans
by: Nilay, Aadit, et al.
Published: (2026)

Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification
by: Chan, Skylar, et al.
Published: (2024)

Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures
by: Lara, Luis, et al.
Published: (2025)

Advanced Chest X-Ray Analysis via Transformer-Based Image Descriptors and Cross-Model Attention Mechanism
by: Agarwal, Lakshita, et al.
Published: (2025)

BS-Diff: Effective Bone Suppression Using Conditional Diffusion Models from Chest X-Ray Images
by: Chen, Zhanghao, et al.
Published: (2023)

Towards Resource-Efficient Streaming of Large-Scale Medical Image Datasets for Deep Learning
by: Kulkarni, Pranav, et al.
Published: (2023)

Uncertainty-Aware Learning Policy for Reliable Pulmonary Nodule Detection on Chest X-Ray
by: Choi, Hyeonjin, et al.
Published: (2025)

MultiFusionNet: Multilayer Multimodal Fusion of Deep Neural Networks for Chest X-Ray Image Classification
by: Agarwal, Saurabh, et al.
Published: (2024)

Privacy-Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
by: Kim, Jonghun, et al.
Published: (2025)

Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
by: Roy, Santanu, et al.
Published: (2025)

BS-LDM: Effective Bone Suppression in High-Resolution Chest X-Ray Images with Conditional Latent Diffusion Models
by: Sun, Yifei, et al.
Published: (2024)

HF-Fed: Hierarchical based customized Federated Learning Framework for X-Ray Imaging
by: Ashraf, Tajamul, et al.
Published: (2024)

Automated Chest X-Ray Report Generator Using Multi-Model Deep Learning Approach
by: Muharram, Arief Purnama, et al.
Published: (2023)

COVID-19 Infection Map Generation and Detection from Chest X-Ray Images
by: Degerli, Aysen, et al.
Published: (2020)

GL-LCM: Global-Local Latent Consistency Models for Fast High-Resolution Bone Suppression in Chest X-Ray Images
by: Sun, Yifei, et al.
Published: (2025)

Classification of COVID-19 in Chest X-ray Images Using Fusion of Deep Features and LightGBM
by: Nasiri, Hamid, et al.
Published: (2022)

Curriculum Learning with Synthetic Data for Enhanced Pulmonary Nodule Detection in Chest Radiographs
by: Sambhu, Pranav, et al.
Published: (2025)

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

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

Exploring Foundation Models for Synthetic Medical Imaging: A Study on Chest X-Rays and Fine-Tuning Techniques
by: da Silva, Davide Clode, et al.
Published: (2024)