Cited by
1822 publications cite any version of this project or its primary paper, newest first.
-
Computed Tomography Image Enhancement Using Super-Resolution Generative Adversarial Network
Hamzah Zureigat, Qais Alomari, Mohammad Azzeh. International Conference on New Trends in Computing Sciences (ICTCS), 2025. Cites: paper -
D3T: Dual-Domain Diffusion Transformer in Triplanar Latent Space for 3D Incomplete-View CT Reconstruction
Xuhui Liu, Hongmin Li, Zhi Qiao et al. International Journal of Computer Vision, 2025. Cites: paper -
Rethinking Natural Language Generation with Layer-Wise Multi-View Decoding
Fenglin Liu, Xuancheng Ren, Guangxiang Zhao et al. ACM Transactions on Knowledge Discovery from Data, 2025. Cites: paper -
A Comparison of Object Detection and Phrase Grounding Models in Chest X-Ray Abnormality Localization Using Eye-Tracking Data
Elham Ghelichkhan, Tolga Taşdizen. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper -
Evaluating Automated Radiology Report Quality Through Fine-Grained Phrasal Grounding of Clinical Findings
Razi Mahmood, Pingkun Yan, Diego Machado Reyes et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper -
Fairness Analysis of Clip-Based Foundation Models for X-Ray Image Classification
Xiangyu Sun, Xiaoguang Zou, Yuefeng Wu et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper -
Generalized Cross-Domain Multi-Label Few-Shot Learning for Chest X-Rays
Aroof Aimen, Arsh Verma, Makarand Tapaswi et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper -
Medxchat: A Unified Multimodal Large Language Model Framework Towards CXRS Understanding and Generation
Ling Yang, Zhanyu Wang, Zhenghao Chen et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper -
Multi-VentNet: Multimodal Fusion Framework for Predicting Need for Mechanical Ventilation
Ye Sel Lee, Xiaolei Lu, Michael Miller et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper -
Prompt-Guided Radiology Report Generation Utilizing SAM
Weiqian Sun, Jianying Liu, Jie Xu et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper -
TX-LLaVA: Large Language and Vision Assistant for Temporal Changes in Chest X-Rays
Hosam Elgendy, Hisham Cholakkal. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper -
Unveiling the Capabilities of Latent Diffusion Models for Classification of Lung Diseases in Chest X-Rays
Junzhi Ning, Xiaodan Xing, Sheng Zhang et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper -
A concept-based interpretable model for the diagnosis of choroid neoplasias using multimodal data
Yifan Wu, Yang Liu, Yue Yang et al. Nature Communications, 2025. Cites: paper -
GPT-4o in radiology: In-context learning based automatic generation of radiology impressions
Mohammed A. Mahyoub, Yong Wang, Mohammad T. Khasawneh. Natural Language Processing Journal, 2025. Cites: paper -
Domain Shift Analysis in Chest Radiographs Classification in a Veterans Healthcare Administration Population
Mayanka Chandrashekar, Ian Goethert, Md Inzamam Ul Haque et al. Journal of Imaging Informatics in Medicine, 2025. Cites: paper -
AI-based measurement of cardiothoracic ratio in chest X-rays and prediction of echocardiographic congestive heart failure
Joshua Ra, Heejun Shin, Christopher Park et al. IJC Heart & Vasculature, 2025. Cites: dataset, paper -
A Brief Review on Benchmarking for Large Language Models Evaluation in Healthcare
Leona Cilar, Hongyu Chen, Aokun Chen et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, 2025. Cites: paper -
Improving Representation of High-Frequency Components for Medical Visual Foundation Models
Yuetan Chu, Yilan Zhang, Zhongyi Han et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper -
Advances in meta-learning and zero-shot learning for multi-label classification: A review
Luis-Carlos Quiñonez-Baca, Graciela María de Jesús Ramírez-Alonso, Abimael Guzmán Pando et al. Digital Signal Processing, 2025. Cites: paper -
Matryoshka Learning With Metric Transfer for Image-Text Matching
Pengzhe Wang, Lei Zhang, Zhendong Mao et al. IEEE Transactions on Circuits and Systems for Video Technology, 2025. Cites: paper -
Application of large language models in medicine
Fenglin Liu, Hongjian Zhou, Boyang Gu et al. Nature Reviews Bioengineering, 2025. Cites: paper -
FairDiffusion: Enhancing equity in latent diffusion models via fair Bayesian perturbation
Yan Luo, Muhammad Osama Khan, Congcong Wen et al. Science Advances, 2025. Cites: paper -
Leveraging clinical indications and demographics to improve multilabel abnormality classification in 3D chest CT scans
Theo Di Piazza, Carole Lazarus, Olivier Nempont et al. SPIE Medical Imaging: Computer-Aided Diagnosis, 2025. Cites: dataset -
Addressing cross-population domain shift in chest X-ray classification through supervised adversarial domain adaptation
Aminu Musa, Rajesh Prasad, Monica Hernandez. Scientific Reports, 2025. Cites: paper -
RRGMambaFormer: A hybrid Transformer-Mamba architecture for radiology report generation
Hongzhao Li, Siwei Liu, Hui Wang et al. Expert Systems with Applications, 2025. Cites: paper -
Evaluating large language models and agents in healthcare: key challenges in clinical applications
Xiaolan Chen, Jiayang Xiang, Shanfu Lu et al. Intelligent Medicine, 2025. Cites: paper -
A clinically accessible small multimodal radiology model and evaluation metric for chest X-ray findings
Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu et al. Nature Communications, 2025. Cites: paper -
The Development Landscape of Large Language Models for Biomedical Applications
Zhiyuan Cao, Vipina K. Keloth, Qianqian Xie et al. Annual Review of Biomedical Data Science, 2025. Cites: paper -
Multimodal generative AI for medical image interpretation
Vishwanatha Mitnala Rao, Michael Hla, Michael Moor et al. Nature, 2025. Cites: paper -
Spatio-Temporal and Retrieval-Augmented Modeling for Chest X-Ray Report Generation
Yan Qin Yang, Xiaoxing You, Ke Zhang et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper -
FedMRG: federated medical report generation via text-aware learning rate adjustment and multi-level prototype collaboration
Hichem Metmer, Xiaoshan Yang. Multimedia Systems, 2025. Cites: paper -
Research on medical publication recommendation based on cross-modal semantic alignment with contrastive learning
Hao Ding, Zhonghua Xia, Weiwei Zhu. Information Processing & Management, 2025. Cites: paper -
CLIP in medical imaging: A survey
Zihao Zhao, Yuxiao Liu, Han Wu et al. Medical Image Analysis, 2025. Cites: paper -
An Evaluation Metric for Automatic Medical Report Generation Based on Tree Structure
Qi Wang. 2025. Cites: paper -
A Review of Automated Report Generation Technologies for Ophthalmic Medical Imaging
Yuanshuo Zheng, Pan Su. Scientific Journal of Technology, 2025. Cites: paper -
The Effect of Simulated Dose Reduction on the Performance of Artificial Intelligence in Chest Radiography
Hendrik Erenstein, Wim P. Krijnen, Annemieke van der Heij-Meijer et al. Journal of Imaging, 2025. Cites: paper -
Multimodal multitask similarity learning for vision language model on radiological images and reports
Yang Yu, Jiahao Wang, Weide Liu et al. Neurocomputing, 2025. Cites: paper -
Optimizing medical image report generation through a discrete diffusion framework
Shuifa Sun, Zhanglin Su, Junsen Meizhou et al. The Journal of Supercomputing, 2025. Cites: paper -
MKGF: A multi-modal knowledge graph based RAG framework to enhance LVLMs for Medical visual question answering
Yinan Wu, Yuming Lu, Yan Zhou et al. Neurocomputing, 2025. Cites: paper -
Advancing Pulmonary Infection Diagnosis: A Comprehensive Review of Deep Learning Approaches in Radiological Data Analysis
Sapna Yadav, Syed Afzal Murtaza Rizvi, Pankaj K. Agarwal. Archives of Computational Methods in Engineering, 2025. Cites: paper -
A Novel Single Continuous Shot Multiple Lesions Endoscopy Report Generation
Xinpan Yuan, Junhua Kuang, Liujie Hua et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
CoMT: Chain-of-Medical-Thought Reduces Hallucination in Medical Report Generation
Yue Jiang, Jiawei Chen, Dingkang Yang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
Enhancing Chest X-ray Classification through Knowledge Injection in Cross-Modality Learning
Yan Ling Yang, Bingqing Yue, Qifeng Li et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
Uncertainty-Aware Dynamic Fusion for Multimodal Clinical Prediction Tasks
Jiayu Guo, Ying Cheng, Wen He et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
Unsupervised Search for Ethnic Minorities’ Medical Segmentation Training Set
Yixiao Chen, Yue Yao, Ruining Yang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2025. Cites: paper -
Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational Study
Md Mahmudur Rahman, Jifan Gao, Kyle A. Carey et al. JMIR AI, 2025. Cites: paper -
WeakMedSAM: Weakly-Supervised Medical Image Segmentation via SAM With Sub-Class Exploration and Prompt Affinity Mining
Haoran Wang, Lian Huai, Wenbin Li et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper -
Towards a holistic framework for multimodal LLM in 3D brain CT radiology report generation
Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang et al. Nature Communications, 2025. Cites: paper -
A Pipeline for Automated Quality Control of Chest Radiographs
IAN A. SELBY, E. González-Solares, Anna Breger et al. Radiology Artificial Intelligence, 2025. Cites: paper -
Medical foundation large language models for comprehensive text analysis and beyond
Qianqian Xie, Qingyu Chen, Aokun Chen et al. npj Digital Medicine, 2025. Cites: paper
Citation data from OpenAlex, updated weekly. Papers that use the project without citing it may be missing.