Pmc-llama: Further finetuning llama on medical papers C Wu, X Zhang, Y Zhang, Y Wang, W Xie arXiv preprint arXiv:2304.14454, 2023 | 90 | 2023 |
Pmc-vqa: Visual instruction tuning for medical visual question answering X Zhang, C Wu, Z Zhao, W Lin, Y Zhang, Y Wang, W Xie arXiv preprint arXiv:2305.10415, 2023 | 49 | 2023 |
Knowledge-enhanced visual-language pre-training on chest radiology images X Zhang, C Wu, Y Zhang, W Xie, Y Wang Nature Communications 14 (1), 4542, 2023 | 39 | 2023 |
Pmc-clip: Contrastive language-image pre-training using biomedical documents W Lin, Z Zhao, X Zhang, C Wu, Y Zhang, Y Wang, W Xie International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 34 | 2023 |
Towards generalist foundation model for radiology C Wu, X Zhang, Y Zhang, Y Wang, W Xie arXiv preprint arXiv:2308.02463, 2023 | 33 | 2023 |
Medklip: Medical knowledge enhanced language-image pre-training C Wu, X Zhang, Y Zhang, Y Wang, W Xie medRxiv, 2023.01. 10.23284412, 2023 | 32 | 2023 |
Can gpt-4v (ision) serve medical applications? case studies on gpt-4v for multimodal medical diagnosis C Wu, J Lei, Q Zheng, W Zhao, W Lin, X Zhang, X Zhou, Z Zhao, Y Zhang, ... arXiv preprint arXiv:2310.09909, 2023 | 26 | 2023 |
PMC-LLaMA: toward building open-source language models for medicine C Wu, W Lin, X Zhang, Y Zhang, W Xie, Y Wang Journal of the American Medical Informatics Association, ocae045, 2024 | 22 | 2024 |
Medklip: Medical knowledge enhanced language-image pre-training for x-ray diagnosis C Wu, X Zhang, Y Zhang, Y Wang, W Xie Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 8 | 2023 |
Unibrain: Universal brain mri diagnosis with hierarchical knowledge-enhanced pre-training J Lei, L Dai, H Jiang, C Wu, X Zhang, Y Zhang, J Yao, W Xie, Y Zhang, ... arXiv preprint arXiv:2309.06828, 2023 | 5 | 2023 |
K-diag: Knowledge-enhanced disease diagnosis in radiographic imaging C Wu, X Zhang, Y Wang, Y Zhang, W Xie arXiv preprint arXiv:2302.11557, 2023 | 5 | 2023 |
Knowledge-enhanced pre-training for auto-diagnosis of chest radiology images X Zhang, C Wu, Y Zhang, Y Wang, W Xie arXiv e-prints, arXiv: 2302.14042, 2023 | 5 | 2023 |
Integrating features from lymph node stations for metastatic lymph node detection C Wu, F Chang, X Su, Z Wu, Y Wang, L Zhu, Y Zhang Computerized Medical Imaging and Graphics 101, 102108, 2022 | 5 | 2022 |
Boundary-Enhanced Self-supervised Learning for Brain Structure Segmentation F Chang, C Wu, Y Wang, Y Zhang, X Chen, Q Tian International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 4 | 2022 |
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology C Wu, X Zhang, Y Zhang, Y Wang, W Xie arXiv preprint arXiv:2301.02228, 2023 | 2 | 2023 |
Towards Building Multilingual Language Model for Medicine P Qiu, C Wu, X Zhang, W Lin, H Wang, Y Zhang, Y Wang, W Xie arXiv preprint arXiv:2402.13963, 2024 | 1 | 2024 |
One model to rule them all: Towards universal segmentation for medical images with text prompts Z Zhao, Y Zhang, C Wu, X Zhang, Y Zhang, Y Wang, W Xie arXiv preprint arXiv:2312.17183, 2023 | 1 | 2023 |
Large-scale long-tailed disease diagnosis on radiology images Q Zheng, W Zhao, C Wu, X Zhang, Y Zhang, Y Wang, W Xie arXiv preprint arXiv:2312.16151, 2023 | 1 | 2023 |
Knowledge-enhanced Visual-Language Pretraining for Computational Pathology X Zhou, X Zhang, C Wu, Y Zhang, W Xie, Y Wang arXiv preprint arXiv:2404.09942, 2024 | | 2024 |
Towards Generalist Foundation Model for Radiology W Xie, C Wu, X Zhang, Y Zhang, Y Wang | | 2023 |