Qicheng Lao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 43

Top Topics

Mutual Information Maximization

Convolutional Neural Networks

Image Recognition

Top Venues

Medical Image Anal.

Int. J. Pattern Recognit. Artif. Intell.

Publications

Qingbo Kang, Qicheng Lao, Jun Gao, Jingyan Liu, Huahui Yi, Buyun Ma, Xiaofan Zhang, Kang Li
Deblurring masked image modeling for ultrasound image analysis. Medical Image Anal. 97 (2024)
Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji
FlowX: Towards Explainable Graph Neural Networks via Message Flows. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Xiaosong Wang, Xiaofan Zhang, Guotai Wang, Junjun He, Zhongyu Li, Wentao Zhu, Yi Guo, Qi Dou, Xiaoxiao Li, Dequan Wang, Liang Hong, Qicheng Lao, Tong Ruan, Yukun Zhou, Yixue Li, Jie Zhao, Kang Li, Xin Sun, Lifeng Zhu, Shaoting Zhang
OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. CoRR (2024)
Zekun Jiang, Dongjie Cheng, Ziyuan Qin, Jun Gao, Qicheng Lao, Kang Li, Le Zhang
Increasing SAM Zero-Shot Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation. CoRR (2024)
Yiyue Li, Guangwu Qian, Xiaoshuang Jiang, Zekun Jiang, Wen Wen, Shaoting Zhang, Kang Li, Qicheng Lao
Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets. IEEE Trans. Medical Imaging 43 (1) (2024)
Junjie Wang, Guangjing Yang, Wentao Chen, Huahui Yi, Xiaohu Wu, Qicheng Lao
MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning. CoRR (2024)
Moi Hoon Yap, Bill Cassidy, Michal Byra, Ting-Yu Liao, Huahui Yi, Adrian Galdran, Yung-Han Chen, Raphael Brüngel, Sven Koitka, Christoph M. Friedrich, Yu-Wen Lo, Ching-Hui Yang, Kang Li, Qicheng Lao, Miguel Ángel González Ballester, Gustavo Carneiro, Yi-Jen Ju, Juinn-Dar Huang, Joseph M. Pappachan, Neil D. Reeves, Vishnu Chandrabalan, Darren Dancey, Connah Kendrick
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Medical Image Anal. 94 (2024)
Yiyue Li, Qicheng Lao, Qingbo Kang, Zekun Jiang, Shiyi Du, Shaoting Zhang, Kang Li
Self-supervised anomaly detection, staging and segmentation for retinal images. Medical Image Anal. 87 (2023)
Di Wu, Fan Zhou, Boyu Wang, Qicheng Lao, Chi Man Wong, Changjian Shui, Yuan Zhou, Feng Wan
On the Benefits of Two Dimensional Metric Learning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Jun Gao, Qicheng Lao, Paul Liu, Huahui Yi, Qingbo Kang, Zekun Jiang, Xiaohu Wu, Kang Li, Yuanyuan Chen, Le Zhang
Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry. IEEE J. Biomed. Health Informatics 27 (10) (2023)
Ziyuan Qin, Huahui Yi, Qicheng Lao, Kang Li
MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY. ICLR (2023)
Miaotian Guo, Huahui Yi, Ziyuan Qin, Haiying Wang, Aidong Men, Qicheng Lao
Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models. MICCAI (5) (2023)
Qingbo Kang, Jun Gao, Kang Li, Qicheng Lao
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition. CoRR (2023)
Huahui Yi, Ziyuan Qin, Qicheng Lao, Wei Xu, Zekun Jiang, Dequan Wang, Shaoting Zhang, Kang Li
Towards General Purpose Medical AI: Continual Learning Medical Foundation Model. CoRR (2023)
Qingbo Kang, Jun Gao, Kang Li, Qicheng Lao
Deblurring Masked Autoencoder Is Better Recipe for Ultrasound Image Recognition. MICCAI (1) (2023)
Dongjie Cheng, Ziyuan Qin, Zekun Jiang, Shaoting Zhang, Qicheng Lao, Kang Li
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes. CoRR (2023)
Huahui Yi, Ziyuan Qin, Wei Xu, Miaotian Guo, Kun Wang, Shaoting Zhang, Kang Li, Qicheng Lao
ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models. CoRR (2023)
Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji
FlowX: Towards Explainable Graph Neural Networks via Message Flows. CoRR (2022)
Shiyi Du, Qicheng Lao, Qingbo Kang, Yiyue Li, Zekun Jiang, Yanfeng Zhao, Kang Li
Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction. MICCAI (2) (2022)
Huahui Yi, Wei Xu, Zekun Jiang, Jun Gao, Qingbo Kang, Qicheng Lao, Kang Li
OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss. DFUC@MICCAI (2022)
Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. IEEE Trans. Neural Networks Learn. Syst. 33 (9) (2022)
Ziyuan Qin, Huahui Yi, Qicheng Lao, Kang Li
Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study. CoRR (2022)
Jun Gao, Qicheng Lao, Qingbo Kang, Paul Liu, Le Zhang, Kang Li
Unsupervised Cross-disease Domain Adaptation by Lesion Scale Matching. MICCAI (8) (2022)
Qingbo Kang, Qicheng Lao, Yiyue Li, Zekun Jiang, Yue Qiu, Shaoting Zhang, Kang Li
Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning. Medical Image Anal. 79 (2022)
Qicheng Lao, Xiang Jiang, Mohammad Havaei
Hypothesis Disparity Regularized Mutual Information Maximization. AAAI (2021)
Mohammad Havaei, Ximeng Mao, Yipping Wang, Qicheng Lao
Conditional Generation of Medical Images via Disentangled Adversarial Inference. DGM4MICCAI/DALI@MICCAI (2021)
Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha
Towards Adversarial Robustness via Transductive Learning. CoRR (2021)
Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei
FoCL: Feature-oriented continual learning for generative models. Pattern Recognit. 120 (2021)
Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
Conditional generation of medical images via disentangled adversarial inference. Medical Image Anal. 72 (2021)
Qicheng Lao, Xiang Jiang, Mohammad Havaei
Hypothesis Disparity Regularized Mutual Information Maximization. CoRR (2020)
Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. CoRR (2020)
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML (2020)
Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao
Conditional Generation of Medical Images via Disentangled Adversarial Inference. CoRR (2020)
Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei
FoCL: Feature-Oriented Continual Learning for Generative Models. CoRR (2020)
Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR (2020)
Qicheng Lao, Thomas Fevens
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. CoRR (2019)
Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens
Dual Adversarial Inference for Text-to-Image Synthesis. CoRR (2019)
Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens
Dual Adversarial Inference for Text-to-Image Synthesis. ICCV (2019)
Qingbo Kang, Qicheng Lao, Thomas Fevens
Nuclei Segmentation in Histopathological Images Using Two-Stage Learning. MICCAI (1) (2019)
Qicheng Lao, Thomas Fevens
Cell Phenotype Classification Using Deep Residual Network and Its Variants. Int. J. Pattern Recognit. Artif. Intell. 33 (11) (2019)
Qicheng Lao, Thomas Fevens
Leveraging Disease Progression Learning for Medical Image Recognition. CoRR (2018)
Qicheng Lao, Thomas Fevens, Boyu Wang
Leveraging Disease Progression Learning for Medical Image Recognition. BIBM (2018)
Qicheng Lao, Thomas Fevens
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. BMVC (2017)