Meng Li

According to our database, Meng Li authored at least 14 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

UltraSeP: Sequence-aware pre-training for echocardiography probe movement guidance.

Haojun Jiang, Teng Wang, Zhenguo Sun, Yulin Wang, Yang Yue, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang

Pattern Recognit., 2026

2024

Sequence-aware Pre-training for Echocardiography Probe Guidance.

Haojun Jiang, Zhenguo Sun, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang

CoRR, 2024

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.

Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.

Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang

Proceedings of the Simplifying Medical Ultrasound - 5th International Workshop, 2024

Unified Framework for Histopathology Image Augmentation and Classification via Generative Models.

Meng Li, Chaoyi Li, Can Peng, Brian C. Lovell

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2024

2023

Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification.

Chaoyi Li, Meng Li, Can Peng, Brian C. Lovell

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

End to End Generative Meta Curriculum Learning for Medical Data Augmentation.

Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

End to End Generative Meta Curriculum Learning For Medical Data Augmentation.

Meng Li, Brian C. Lovell

CoRR, 2022

Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation.

Meng Li, Chaoyi Li, Can Peng, Brian C. Lovell

CoRR, 2022

MedViTGAN: End-to-End Conditional GAN for Histopathology Image Augmentation with Vision Transformers.

Meng Li, Chaoyi Li, Peter Hobson, Tony Jennings, Brian C. Lovell

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Few-Shot Class-Incremental Learning from an Open-Set Perspective.

Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation.

Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell

Comput. Vis. Image Underst., 2021

Deep Adaptive Few Example Learning for Microscopy Image Cell Counting.

Meng Li, Kun Zhao, Can Peng, Peter Hobson, Tony Jennings, Brian C. Lovell

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2019

Deep Instance-Level Hard Negative Mining Model for Histopathology Images.

Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019