关注
Tianbin Li
Tianbin Li
Shanghai Artificial Intelligence Laboratory
在 pjlab.org.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
Sam-med2d
J Cheng, J Ye, Z Deng, J Chen, T Li, H Wang, Y Su, Z Huang, J Chen, ...
arXiv preprint arXiv:2308.16184, 2023
1292023
Omnimedvqa: A new large-scale comprehensive evaluation benchmark for medical lvlm
Y Hu, T Li, Q Lu, W Shao, J He, Y Qiao, P Luo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
302024
Yanzhou Su, Ziyan Huang, Yiqing Shen, et al. Sam-med3d
H Wang, S Guo, J Ye, Z Deng, J Cheng, T Li, J Chen
arXiv preprint arXiv:2310.15161 2, 2023
212023
Sa-med2d-20m dataset: Segment anything in 2d medical imaging with 20 million masks
J Ye, J Cheng, J Chen, Z Deng, T Li, H Wang, Y Su, Z Huang, J Chen, ...
arXiv preprint arXiv:2311.11969, 2023
152023
Yanzhou Su, et al. Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai
P Chen, J Ye, G Wang, Y Li, Z Deng, W Li, T Li, H Duan, Z Huang
arXiv preprint arXiv:2408.03361 6 (8), 2024
82024
Ophclip: Hierarchical retrieval-augmented learning for ophthalmic surgical video-language pretraining
M Hu, K Yuan, Y Shen, F Tang, X Xu, L Zhou, W Li, Y Chen, Z Xu, Z Peng, ...
arXiv preprint arXiv:2411.15421, 2024
72024
Gmai-mmbench: A comprehensive multimodal evaluation benchmark towards general medical ai
P Chen, J Ye, G Wang, Y Li, Z Deng, W Li, T Li, H Duan, Z Huang, Y Su, ...
arXiv preprint arXiv:2408.03361, 2024
62024
A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding
Y Shen, Z Chen, M Mamalakis, L He, H Xia, T Li, Y Su, J He, YG Wang
arXiv preprint arXiv:2406.05540, 2024
52024
Sam-med3d: towards general-purpose segmentation models for volumetric medical images
H Wang, S Guo, J Ye, Z Deng, J Cheng, T Li, J Chen, Y Su, Z Huang, ...
arXiv preprint, 2023
42023
Sam-med3d-moe: Towards a non-forgetting segment anything model via mixture of experts for 3d medical image segmentation
G Wang, J Ye, J Cheng, T Li, Z Chen, J Cai, J He, B Zhuang
International Conference on Medical Image Computing and Computer-Assisted …, 2024
32024
Pitvis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery
A Das, DZ Khan, D Psychogyios, Y Zhang, JG Hanrahan, F Vasconcelos, ...
arXiv preprint arXiv:2409.01184, 2024
32024
Toursynbio: A multi-modal large model and agent framework to bridge text and protein sequences for protein engineering
Y Shen, Z Chen, M Mamalakis, Y Liu, T Li, Y Su, J He, P Liò, YG Wang
arXiv preprint arXiv:2408.15299, 2024
32024
A-Eval: A Benchmark for Cross-Dataset Evaluation of Abdominal Multi-Organ Segmentation
Z Huang, Z Deng, J Ye, H Wang, Y Su, T Li, H Sun, J Cheng, J Chen, J He, ...
arXiv preprint arXiv:2309.03906, 2023
32023
A survey for large language models in biomedicine
C Wang, M Li, J He, Z Wang, E Darzi, Z Chen, J Ye, T Li, Y Su, J Ke, K Qu, ...
arXiv preprint arXiv:2409.00133, 2024
22024
Interactive medical image segmentation: A benchmark dataset and baseline
J Cheng, B Fu, J Ye, G Wang, T Li, H Wang, R Li, H Yao, J Chen, JW Li, ...
arXiv preprint arXiv:2411.12814, 2024
12024
Enhancing Medical Task Performance in GPT-4V: A Comprehensive Study on Prompt Engineering Strategies
P Chen, Z Huang, Z Deng, T Li, Y Su, H Wang, J Ye, Y Qiao, J He
arXiv preprint arXiv:2312.04344, 2023
12023
Exploiting Pseudo-labeling and nnU-Netv2 Inference Acceleration for Abdominal Multi-organ and Pan-Cancer Segmentation
Z Huang, J Ye, H Wang, Z Deng, T Li, J He
MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ …, 2023
12023
GMAI-VL & GMAI-VL-5.5 M: A Large Vision-Language Model and A Comprehensive Multimodal Dataset Towards General Medical AI
T Li, Y Su, W Li, B Fu, Z Chen, Z Huang, G Wang, C Ma, Y Chen, M Hu, ...
arXiv preprint arXiv:2411.14522, 2024
2024
SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding
Y Chen, G Wang, Y Ji, Y Li, J Ye, T Li, B Zhang, N Pei, R Yu, Y Qiao, J He
arXiv preprint arXiv:2410.11761, 2024
2024
Evaluating STU-Net for Brain Tumor Segmentation
Z Huang, J Ye, H Wang, Z Deng, Y Su, T Li, J Cheng, J Chen, S Guo, ...
International Challenge on Cross-Modality Domain Adaptation for Medical …, 2023
2023
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