Meng Li

19 papers B 2Misc 2Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
UltraSeP: Sequence-aware pre-training for echocardiography probe movement guidance.
Pattern Recognit.
Haojun Jiang, Teng Wang, Zhenguo Sun, Yulin Wang, Yang Yue, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang
2024 — conf
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.
MICCAI (1)
Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 J jnl
Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model.
CoRR
Haojun Jiang, Zhenguo Sun, Ning Jia, Meng Li, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 J jnl
Sequence-aware Pre-training for Echocardiography Probe Guidance.
CoRR
Haojun Jiang, Zhenguo Sun, Yu Sun, Ning Jia, Meng Li, Shaqi Luo, Shiji Song, Gao Huang
2024 — conf
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.
ASMUS@MICCAI
Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 J jnl
Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train.
CoRR
Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang
2024 Misc conf
Unified Framework for Histopathology Image Augmentation and Classification via Generative Models.
DICTA
Meng Li, Chaoyi Li, Can Peng, Brian C. Lovell
2023 — conf
Dynamic Curriculum Learning via In-Domain Uncertainty for Medical Image Classification.
MICCAI (5)
Chaoyi Li, Meng Li, Can Peng, Brian C. Lovell
2023 B conf
End to End Generative Meta Curriculum Learning for Medical Data Augmentation.
ICIP
Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell
2022 J jnl
Conditioned Generative Transformers for Histopathology Image Synthetic Augmentation.
CoRR
Meng Li, Chaoyi Li, Can Peng, Brian C. Lovell
2022 J jnl
End to End Generative Meta Curriculum Learning For Medical Data Augmentation.
CoRR
Meng Li, Brian C. Lovell
2022 — conf
Few-Shot Class-Incremental Learning from an Open-Set Perspective.
ECCV (25)
Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell
2022 J jnl
Few-Shot Class-Incremental Learning from an Open-Set Perspective.
CoRR
Can Peng, Kun Zhao, Tianren Wang, Meng Li, Brian C. Lovell
2022 B conf
MedViTGAN: End-to-End Conditional GAN for Histopathology Image Augmentation with Vision Transformers.
ICPR
Meng Li, Chaoyi Li, Peter Hobson, Tony Jennings, Brian C. Lovell
2021 Misc conf
Deep Adaptive Few Example Learning for Microscopy Image Cell Counting.
DICTA
Meng Li, Kun Zhao, Can Peng, Peter Hobson, Tony Jennings, Brian C. Lovell
2021 J jnl
SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation.
Comput. Vis. Image Underst.
Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell
2020 J jnl
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation.
CoRR
Can Peng, Kun Zhao, Sam Maksoud, Meng Li, Brian C. Lovell
2019 — conf
Deep Instance-Level Hard Negative Mining Model for Histopathology Images.
MICCAI (1)
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell
2019 J jnl
Deep Instance-Level Hard Negative Mining Model for Histopathology Images.
CoRR
Meng Li, Lin Wu, Arnold Wiliem, Kun Zhao, Teng Zhang, Brian C. Lovell