Copertina

Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gundapaneni, Sanjana, Zhi, Zhuo, Rodrigues, Miguel
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

Towards Predicting Temporal Changes in a Patient's Chest X-ray Images based on Electronic Health Records
di: Kyung, Daeun, et al.
Pubblicazione: (2024)

Deep Learning Approach for the Diagnosis of Pediatric Pneumonia Using Chest X-ray Imaging
di: Hosseinabadi, Fatemeh, et al.
Pubblicazione: (2025)

Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
di: Chatterjee, Soumick, et al.
Pubblicazione: (2020)

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

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

Harnessing EHRs for Diffusion-based Anomaly Detection on Chest X-rays
di: Kim, Harim, et al.
Pubblicazione: (2025)

Reliable COVID-19 Detection Using Chest X-ray Images
di: Degerli, Aysen, et al.
Pubblicazione: (2021)

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

Algorithms Trained on Normal Chest X-rays Can Predict Health Insurance Types
di: Chen, Chi-Yu, et al.
Pubblicazione: (2025)

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

CheXPO-v2: Preference Optimization for Chest X-ray VLMs with Knowledge Graph Consistency
di: Liang, Xiao, et al.
Pubblicazione: (2025)

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

MetaChest: Generalized few-shot learning of pathologies from chest X-rays
di: Montalvo-Lezama, Berenice, et al.
Pubblicazione: (2025)

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

Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity
di: Zunaed, Mohammad, et al.
Pubblicazione: (2024)

OTCXR: Rethinking Self-supervised Alignment using Optimal Transport for Chest X-ray Analysis
di: Gorade, Vandan, et al.
Pubblicazione: (2024)

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

Leveraging Expert Input for Robust and Explainable AI-Assisted Lung Cancer Detection in Chest X-rays
di: Rafferty, Amy, et al.
Pubblicazione: (2024)

Fairness and Robustness of CLIP-Based Models for Chest X-rays
di: Sourget, Théo, et al.
Pubblicazione: (2025)

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

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

Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning
di: Lin, Mingquan, et al.
Pubblicazione: (2024)

OSegNet: Operational Segmentation Network for COVID-19 Detection using Chest X-ray Images
di: Degerli, Aysen, et al.
Pubblicazione: (2022)

Explainable Machine Learning for Sepsis Outcome Prediction Using a Novel Romanian Electronic Health Record Dataset
di: Bunea, Andrei-Alexandru, et al.
Pubblicazione: (2026)

DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification
di: Mohamed, Youssef, et al.
Pubblicazione: (2025)

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

Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model
di: Das, Alloy, et al.
Pubblicazione: (2024)

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

Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
di: Jiménez-Sánchez, Amelia, et al.
Pubblicazione: (2022)

Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records
di: Jiang, Shuai, et al.
Pubblicazione: (2024)

Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation
di: Yao, Wenfang, et al.
Pubblicazione: (2024)

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

A Comparison of Object Detection and Phrase Grounding Models in Chest X-ray Abnormality Localization using Eye-tracking Data
di: Ghelichkhan, Elham, et al.
Pubblicazione: (2025)

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

Explainable Deep Learning for Pediatric Pneumonia Detection in Chest X-Ray Images
di: Khadidos, Adil O., et al.
Pubblicazione: (2026)

Understanding Dataset Bias in Medical Imaging: A Case Study on Chest X-rays
di: Dack, Ethan, et al.
Pubblicazione: (2025)

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

CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer
di: Li, Xinran, et al.
Pubblicazione: (2025)

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