Zheng, Yefeng

The Medical Segmentation Decathlon

Antonelli, M., Reinke, A., Bakas, S., Farahani, K., Kopp-Schneider, A., Landman, B. A., Litjens, G., Menze, B., Ronneberger, O., Summers, R. M., et al. (2022) · Nature Communications

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 1,384

Morphological diversity of single neurons in molecularly defined cell types

Peng, H., Xie, P., Liu, L., Kuang, X., Wang, Y., Qu, L., Gong, H., Jiang, S., Li, A., Ruan, Z., et al. (2021) · Nature

Single-cell and spatial transcriptomicsCell Image Analysis Techniques

Cited by 417

Large language models for generative information extraction: a survey

Xu, D., Chen, W., Peng, W., Zhang, C., Xu, T., Zhao, X., Wu, X., Zheng, Y., Wang, Y., & Chen, E. (2024) · Frontiers of Computer Science

Topic ModelingNatural Language Processing Techniques

Cited by 326

Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans

Ghesu, F.-C., Georgescu, B., Zheng, Y., Grbic, S., Maier, A., Hornegger, J., & Comaniciu, D. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Medical Imaging and AnalysisMedical Image Segmentation Techniques

Cited by 310

A medical multimodal large language model for future pandemics

Liu, F., Zhu, T., Wu, X., Yang, B., You, C., Wang, C., Lu, L., Liu, Z., Zheng, Y., Sun, X., et al. (2023) · npj Digital Medicine

Multimodal Machine Learning ApplicationsCOVID-19 diagnosis using AI

Cited by 155

Marginal space deep learning: efficient architecture for volumetric image parsing

Ghesu, F. C., Krubasik, E., Georgescu, B., Singh, V., Zheng, Y., Hornegger, J., & Comaniciu, D. (2016) · IEEE Transactions on Medical Imaging

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 142

Real-time 2D/3D registration via CNN regression

Miao, S., Wang, Z. J., Zheng, Y., & Liao, R. (2016) · 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 101

Brain-wide single neuron reconstruction reveals morphological diversity in molecularly defined striatal, thalamic, cortical and claustral neuron types

Peng, H., Xie, P., Liu, L., Kuang, X., Wang, Y., Qu, L., Gong, H., Jiang, S., Li, A., Ruan, Z., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory)

Cell Image Analysis TechniquesNeuroscience and Neuropharmacology Research

Cited by 47

Large language models leverage external knowledge to extend clinical insight beyond language boundaries

Wu, J., Wu, X., Qiu, Z., Li, M., Lin, S., Zhang, Y., Zheng, Y., Yuan, C., & Yang, J. (2024) · Journal of the American Medical Informatics Association

Artificial Intelligence in Healthcare and EducationTopic Modeling

Cited by 41

AutoPal: Autonomous Adaptation to Users for Personal AI Companionship

Cheng, Y., Liu, W., Xu, K., Hou, W., Ouyang, Y., Leong, C. T., Li, W., Wu, X., & Zheng, Y. (2024) · arXiv

Social Robot Interaction and HRISpeech and dialogue systems

Cited by 2