Yang, Jiancheng

MedMNIST v2 - A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Yang, J., Shi, R., Wei, D., Liu, Z., Zhao, L., Ke, B., Pfister, H., & Ni, B. (2023) · Scientific Data

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 1,043

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Yang, J., Shi, R., & Ni, B. (2021) · 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI)

Machine Learning and Data ClassificationDomain Adaptation and Few-Shot Learning

Cited by 414

3D Human Action Representation Learning via Cross-View Consistency Pursuit

Li, L., Wang, M., Ni, B., Wang, H., Yang, J., & Zhang, W. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionHuman Motion and Animation

Cited by 236

3D deep learning from CT scans predicts tumor invasiveness of subcentimeter pulmonary adenocarcinomas

Zhao, W., Yang, J., Sun, Y., Li, C., Wu, W., Jin, L., Yang, Z., Ni, B., Gao, P., Wang, P., et al. (2018) · Cancer Research

AI in cancer detectionLung Cancer Diagnosis and Treatment

Cited by 226

MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Yang, J., Shi, R., Wei, D., Liu, Z., Zhao, L., Ke, B., Pfister, H., & Ni, B. (2021) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 72

The impact of ChatGPT and LLMs on medical imaging stakeholders: Perspectives and use cases

Yang, J., Li, H. B., & Wei, D. (2023) · Meta-Radiology

Artificial Intelligence in Healthcare and EducationRadiology practices and education

Cited by 46

MedMNIST v2: A Large-Scale Lightweight Benchmark for 2D and 3D Biomedical Image Classification

Yang, J., Shi, R., Wei, D., Liu, Z., Zhao, L., Ke, B., Pfister, H., & Ni, B. (2021) · Zenodo

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 30