Saved in:
| Main Authors: | Marsico, Veronica, Quintero-Rincon, Antonio, Batatia, Hadj |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.01098 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hybrid Pipeline SWD Detection in Long-Term EEG Signals
by: Rincon, Antonio Quintero, et al.
Published: (2025)
by: Rincon, Antonio Quintero, et al.
Published: (2025)
Machine learning and machine learned prediction in chest X-ray images
by: Garrett, Shereiff, et al.
Published: (2025)
by: Garrett, Shereiff, et al.
Published: (2025)
A foundation model for generalizable disease diagnosis in chest X-ray images
by: Xu, Lijian, et al.
Published: (2024)
by: Xu, Lijian, et al.
Published: (2024)
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
by: Gallone, Guglielmo, et al.
Published: (2024)
by: Gallone, Guglielmo, et al.
Published: (2024)
MetaChest: Generalized few-shot learning of pathologies from chest X-rays
by: Montalvo-Lezama, Berenice, et al.
Published: (2025)
by: Montalvo-Lezama, Berenice, et al.
Published: (2025)
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
by: Holste, Gregory, et al.
Published: (2023)
by: Holste, Gregory, et al.
Published: (2023)
Enhancing zero-shot learning in medical imaging: integrating clip with advanced techniques for improved chest x-ray analysis
by: Bhardwaj, Prakhar, et al.
Published: (2025)
by: Bhardwaj, Prakhar, et al.
Published: (2025)
MedSAM-based lung masking for multi-label chest X-ray classification
by: Miao, Brayden, et al.
Published: (2025)
by: Miao, Brayden, et al.
Published: (2025)
A data- and compute-efficient chest X-ray foundation model beyond aggressive scaling
by: Wang, Chong, et al.
Published: (2026)
by: Wang, Chong, et al.
Published: (2026)
Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD
by: Krishnan, Aravind R., et al.
Published: (2025)
by: Krishnan, Aravind R., et al.
Published: (2025)
Evaluating Convolutional Neural Networks for COVID-19 classification in chest X-ray images
by: Rodrigues, Leonardo Gabriel Ferreira, et al.
Published: (2024)
by: Rodrigues, Leonardo Gabriel Ferreira, et al.
Published: (2024)
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis
by: Prazuch, Wojciech, et al.
Published: (2022)
by: Prazuch, Wojciech, et al.
Published: (2022)
CheXalign: Preference fine-tuning in chest X-ray interpretation models without human feedback
by: Hein, Dennis, et al.
Published: (2024)
by: Hein, Dennis, et al.
Published: (2024)
CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray
by: Lin, Mingquan, et al.
Published: (2025)
by: Lin, Mingquan, et al.
Published: (2025)
Joint enhancement of automatic chest X-ray diagnosis and radiological gaze prediction with multi-stage cooperative learning
by: Qiu, Zirui, et al.
Published: (2024)
by: Qiu, Zirui, et al.
Published: (2024)
Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis
by: Zhang, Lu, et al.
Published: (2026)
by: Zhang, Lu, et al.
Published: (2026)
Nodule detection and generation on chest X-rays: NODE21 Challenge
by: Sogancioglu, Ecem, et al.
Published: (2024)
by: Sogancioglu, Ecem, et al.
Published: (2024)
GazeLT: Visual attention-guided long-tailed disease classification in chest radiographs
by: Bhattacharya, Moinak, et al.
Published: (2025)
by: Bhattacharya, Moinak, et al.
Published: (2025)
Foreign object segmentation in chest x-rays through anatomy-guided shape insertion
by: Seibold, Constantin, et al.
Published: (2025)
by: Seibold, Constantin, et al.
Published: (2025)
Unsupervised-learning-based method for chest MRI-CT transformation using structure constrained unsupervised generative attention networks
by: Matsuo, Hidetoshi, et al.
Published: (2021)
by: Matsuo, Hidetoshi, et al.
Published: (2021)
Deep kernel representations of latent space features for low-dose PET-MR imaging robust to variable dose reduction
by: Pain, Cameron Dennis, et al.
Published: (2024)
by: Pain, Cameron Dennis, et al.
Published: (2024)
RadEyeVideo: Enhancing general-domain Large Vision Language Model for chest X-ray analysis with video representations of eye gaze
by: Kim, Yunsoo, et al.
Published: (2025)
by: Kim, Yunsoo, et al.
Published: (2025)
Drug classification based on X-ray spectroscopy combined with machine learning
by: Li, Yongming, et al.
Published: (2025)
by: Li, Yongming, et al.
Published: (2025)
Leveraging feature communication in federated learning for remote sensing image classification
by: Duong, Anh-Kiet, et al.
Published: (2024)
by: Duong, Anh-Kiet, et al.
Published: (2024)
CXR-Agent: Vision-language models for chest X-ray interpretation with uncertainty aware radiology reporting
by: Sharma, Naman
Published: (2024)
by: Sharma, Naman
Published: (2024)
Illicit object detection in X-ray imaging using deep learning techniques: A comparative evaluation
by: Cani, Jorgen, et al.
Published: (2025)
by: Cani, Jorgen, et al.
Published: (2025)
Automated triage of COVID-19 from various lung abnormalities using chest CT features
by: Amran, Dor, et al.
Published: (2020)
by: Amran, Dor, et al.
Published: (2020)
CheXthought: A global multimodal dataset of clinical chain-of-thought reasoning and visual attention for chest X-ray interpretation
by: Sharma, Sonali, et al.
Published: (2026)
by: Sharma, Sonali, et al.
Published: (2026)
CAD-feature enhanced machine learning for manufacturing effort estimation on sheet metal bending parts
by: Ballegeer, Matteo, et al.
Published: (2026)
by: Ballegeer, Matteo, et al.
Published: (2026)
Real-time estimation of overt attention from dynamic features of the face using deep-learning
by: Ortubay, Aimar Silvan, et al.
Published: (2024)
by: Ortubay, Aimar Silvan, et al.
Published: (2024)
Domain-invariant feature learning in brain MR imaging for content-based image retrieval
by: Tobari, Shuya, et al.
Published: (2025)
by: Tobari, Shuya, et al.
Published: (2025)
CT respiratory motion synthesis using joint supervised and adversarial learning
by: Cao, Yi-Heng, et al.
Published: (2024)
by: Cao, Yi-Heng, et al.
Published: (2024)
Monocular absolute depth estimation from endoscopy via domain-invariant feature learning and latent consistency
by: Li, Hao, et al.
Published: (2025)
by: Li, Hao, et al.
Published: (2025)
Randomized based restricted kernel machine for hyperspectral image classification
by: Quadir, A., et al.
Published: (2025)
by: Quadir, A., et al.
Published: (2025)
On the importance of local and global feature learning for automated measurable residual disease detection in flow cytometry data
by: Weijler, Lisa, et al.
Published: (2024)
by: Weijler, Lisa, et al.
Published: (2024)
Personalized federated learning based on feature fusion
by: Xing, Wolong, et al.
Published: (2024)
by: Xing, Wolong, et al.
Published: (2024)
Automated diagnosis of lung diseases using vision transformer: a comparative study on chest x-ray classification
by: Ahmad, Muhammad, et al.
Published: (2025)
by: Ahmad, Muhammad, et al.
Published: (2025)
Underestimation of lung regions on chest X-ray segmentation masks assessed by comparison with total lung volume evaluated on computed tomography
by: Bombiński, Przemysław, et al.
Published: (2024)
by: Bombiński, Przemysław, et al.
Published: (2024)
CheXmask-U: Quantifying uncertainty in landmark-based anatomical segmentation for X-ray images
by: Cosarinsky, Matias, et al.
Published: (2025)
by: Cosarinsky, Matias, et al.
Published: (2025)
Transfer learning approach to Classify the X-ray image that corresponds to corona disease Using ResNet50 pretrained by ChexNet
by: Bolhassani, Mahyar
Published: (2021)
by: Bolhassani, Mahyar
Published: (2021)
Similar Items
-
Hybrid Pipeline SWD Detection in Long-Term EEG Signals
by: Rincon, Antonio Quintero, et al.
Published: (2025) -
Machine learning and machine learned prediction in chest X-ray images
by: Garrett, Shereiff, et al.
Published: (2025) -
A foundation model for generalizable disease diagnosis in chest X-ray images
by: Xu, Lijian, et al.
Published: (2024) -
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
by: Gallone, Guglielmo, et al.
Published: (2024) -
MetaChest: Generalized few-shot learning of pathologies from chest X-rays
by: Montalvo-Lezama, Berenice, et al.
Published: (2025)