Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. - Qicheng Lao; Thomas Fevens (BMVC, 2017)

Leveraging Disease Progression Learning for Medical Image Recognition. - Qicheng Lao; Thomas Fevens; Boyu Wang 004 (BIBM, 2018)

Leveraging Disease Progression Learning for Medical Image Recognition. - Qicheng Lao; Thomas Fevens (CoRR, 2018)

Dual Adversarial Inference for Text-to-Image Synthesis. - Qicheng Lao; Mohammad Havaei; Ahmad Pesaranghader; Francis Dutil; Lisa Di-Jorio; Thomas Fevens (ICCV, 2019)

Nuclei Segmentation in Histopathological Images Using Two-Stage Learning. - Qingbo Kang; Qicheng Lao; Thomas Fevens (MICCAI (1), 2019)

Cell Phenotype Classification Using Deep Residual Network and Its Variants. - Qicheng Lao; Thomas Fevens (Int. J. Pattern Recognit. Artif. Intell., 2019)

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. - Xiang Jiang 001; Qicheng Lao; Stan Matwin; Mohammad Havaei (ICML, 2020)

Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. - Qicheng Lao; Xiang Jiang 001; Mohammad Havaei; Yoshua Bengio (CoRR, 2020)

Hypothesis Disparity Regularized Mutual Information Maximization. - Qicheng Lao; Xiang Jiang 001; Mohammad Havaei (AAAI, 2021)

Towards Adversarial Robustness via Transductive Learning. - Jiefeng Chen 001; Yang Guo; Xi Wu 001; Tianqi Li; Qicheng Lao; Yingyu Liang; Somesh Jha (CoRR, 2021)

Conditional generation of medical images via disentangled adversarial inference. - Mohammad Havaei; Ximeng Mao; Yiping Wang 004; Qicheng Lao (Medical Image Anal., 2021)

FoCL: Feature-oriented continual learning for generative models. - Qicheng Lao; Mehrzad Mortazavi; Marzieh Tahaei; Francis Dutil; Thomas Fevens; Mohammad Havaei (Pattern Recognit., 2021)

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction. - Shiyi Du; Qicheng Lao; Qingbo Kang; Yiyue Li; Zekun Jiang; Yanfeng Zhao; Kang Li 004 (MICCAI (2), 2022)

Unsupervised Cross-disease Domain Adaptation by Lesion Scale Matching. - Jun Gao; Qicheng Lao; Qingbo Kang; Paul Liu 003; Le Zhang 004; Kang Li 004 (MICCAI (8), 2022)

OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss. - Huahui Yi; Wei Xu 046; Zekun Jiang; Jun Gao; Qingbo Kang; Qicheng Lao; Kang Li 004 (DFUC@MICCAI, 2022)

Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning. - Qingbo Kang; Qicheng Lao; Yiyue Li; Zekun Jiang; Yue Qiu; Shaoting Zhang 001; Kang Li 004 (Medical Image Anal., 2022)

A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. - Qicheng Lao; Xiang Jiang 001; Mohammad Havaei; Yoshua Bengio (IEEE Trans. Neural Networks Learn. Syst., 2022)

MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY. - Ziyuan Qin 001; Huahui Yi; Qicheng Lao; Kang Li 004 (ICLR, 2023)

Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models. - Miaotian Guo; Huahui Yi; Ziyuan Qin 001; Haiying Wang 005; Aidong Men; Qicheng Lao (MICCAI (5), 2023)

Deblurring Masked Autoencoder Is Better Recipe for Ultrasound Image Recognition. - Qingbo Kang; Jun Gao; Kang Li 004; Qicheng Lao (MICCAI (1), 2023)

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model. - Huahui Yi; Ziyuan Qin 001; Qicheng Lao; Wei Xu 046; Zekun Jiang; Dequan Wang; Shaoting Zhang 001; Kang Li 004 (CoRR, 2023)

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes. - Dongjie Cheng; Ziyuan Qin 001; Zekun Jiang; Shaoting Zhang 001; Qicheng Lao; Kang Li 004 (CoRR, 2023)

ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models. - Huahui Yi; Ziyuan Qin 001; Wei Xu 046; Miaotian Guo; Kun Wang; Shaoting Zhang 001; Kang Li 004; Qicheng Lao (CoRR, 2023)

Self-supervised anomaly detection, staging and segmentation for retinal images. - Yiyue Li; Qicheng Lao; Qingbo Kang; Zekun Jiang; Shiyi Du; Shaoting Zhang 001; Kang Li 004 (Medical Image Anal., 2023)

On the Benefits of Two Dimensional Metric Learning. - Di Wu 044; Fan Zhou 006; Boyu Wang 004; Qicheng Lao; Chi Man Wong; Changjian Shui; Yuan Zhou 006; Feng Wan (IEEE Trans. Knowl. Data Eng., 2023)

Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry. - Jun Gao; Qicheng Lao; Paul Liu 003; Huahui Yi; Qingbo Kang; Zekun Jiang; Xiaohu Wu; Kang Li 004; Yuanyuan Chen; Le Zhang 004 (IEEE J. Biomed. Health Informatics, 2023)

Learning Task-Level Pseudo-Text Prompt for Improved Medical Image Segmentation. - Zhu He; Yaru Liu; Guangjing Yang; Xueqi Bao; Yufei Chai; Qicheng Lao (BIBM, 2024)

Medical Language Mixture of Experts for Improving Medical Image Segmentation. - Yaru Liu; Jiangbo Pei; Zhu He; Guangjing Yang; Zhuqing Jiang; Qicheng Lao (BIBM, 2024)

Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection. - Chenlin Du; Xiaoxuan Chen; Jingyi Wang; Junjie Wang 009; Zhongsen Li; Zongjiu Zhang; Qicheng Lao (MICCAI (12), 2024)

Curriculum Prompting Foundation Models for Medical Image Segmentation. - Xiuqi Zheng; Yuhang Zhang; Haoran Zhang; Hongrui Liang; Xueqi Bao; Zhuqing Jiang; Qicheng Lao (MICCAI (12), 2024)

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. - Mengmeng Chen; Xiaohu Wu; Xiaoli Tang 001; Tiantian He 001; Yew Soon Ong; Qiqi Liu; Qicheng Lao; Han Yu 001 (NeurIPS, 2024)

One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection. - Yiyue Li; Shaoting Zhang 001; Kang Li 004; Qicheng Lao (NeurIPS, 2024)

TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation. - Zekun Jiang; Dongjie Cheng; Ziyuan Qin 001; Jun Gao; Qicheng Lao; Abdullaev Bakhrom Ismoilovich; Gayrat Urazboev; Yuldashov Elyorbek; Bekchanov Habibullo; Defu Tang; Linjing Wei; Kang Li 004; et al. (Big Data Min. Anal., 2024)

Increasing SAM Zero-Shot Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation. - Zekun Jiang; Dongjie Cheng; Ziyuan Qin 001; Jun Gao; Qicheng Lao; Kang Li 004; Le Zhang 004 (CoRR, 2024)

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine. - Xiaosong Wang 001; Xiaofan Zhang 002; Guotai Wang; Junjun He; Zhongyu Li 002; Wentao Zhu 001; Yi Guo 002; Qi Dou 001; Xiaoxiao Li; Dequan Wang; Liang Hong; Qicheng Lao; et al. (CoRR, 2024)

MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning. - Junjie Wang 009; Guangjing Yang; Wentao Chen; Huahui Yi; Xiaohu Wu; Qicheng Lao (CoRR, 2024)

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. - Zhilong Li; Xiaohu Wu; Xiaoli Tang 001; Tiantian He 001; Yew-Soon Ong; Mengmeng Chen; Qiqi Liu; Qicheng Lao; Han Yu 001 (CoRR, 2024)

Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent. - Ziyuan Qin 001; Dongjie Cheng; Haoyu Wang; Huahui Yi; Yuting Shao; Zhiyuan Fan; Kang Li 004; Qicheng Lao (CoRR, 2024)

Deblurring masked image modeling for ultrasound image analysis. - Qingbo Kang; Qicheng Lao; Jun Gao; Jingyan Liu; Huahui Yi; Buyun Ma; Xiaofan Zhang 002; Kang Li 004 (Medical Image Anal., 2024)

Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. - 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; et al. (Medical Image Anal., 2024)

FlowX: Towards Explainable Graph Neural Networks via Message Flows. - Shurui Gui; Hao Yuan 001; Jie Wang 005; Qicheng Lao; Kang Li 004; Shuiwang Ji (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets. - Yiyue Li; Guangwu Qian; Xiaoshuang Jiang; Zekun Jiang; Wen Wen; Shaoting Zhang 001; Kang Li 004; Qicheng Lao (IEEE Trans. Medical Imaging, 2024)

Continual Learning of Image Classes With Language Guidance From a Vision-Language Model. - Wentao Zhang 005; Yujun Huang; Weizhuo Zhang; Tong Zhang 017; Qicheng Lao; Yue Yu 001; Wei-Shi Zheng 001; Ruixuan Wang (IEEE Trans. Circuits Syst. Video Technol., 2024)

Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models. - Anyang Ji; Qingbo Kang; Wei Xu 046; Changfan Wang; Kang Li 004; Qicheng Lao (ISBI, 2025)

Guiding Medical Vision-Language Models with Diverse Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations. - Kangyu Zhu; Ziyuan Qin 001; Huahui Yi; Zekun Jiang; Qicheng Lao; Shaoting Zhang 001; Kang Li 004 (NAACL (Long Papers), 2025)

Enhancing diagnostic capability with multi-agents conversational large language models. - Xi Chen; Huahui Yi; Mingke You; Weizhi Liu; Li Wang 109; Hairui Li; Xue Zhang; Yingman Guo; Lei Fan; Gang Chen; Qicheng Lao; Weili Fu; et al. (npj Digit. Medicine, 2025)

Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations. - Kangyu Zhu; Ziyuan Qin 001; Huahui Yi; Zekun Jiang; Qicheng Lao; Shaoting Zhang 001; Kang Li 004 (CoRR, 2025)

Boosting Your Context by Dual Similarity Checkup for In-Context Learning Medical Image Segmentation. - Jun Gao; Qicheng Lao; Qingbo Kang; Paul Liu 003; Chenlin Du; Kang Li 004; Le Zhang 004 (IEEE Trans. Medical Imaging, 2025)

Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning. - Mengmeng Chen; Xiaohu Wu; Qiqi Liu; Tiantian He 001; Yew-Soon Ong; Yaochu Jin; Qicheng Lao; Han Yu 001 (CoRR, 2025)

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection. - Huahui Yi; Wei Xu 046; Ziyuan Qin 001; Xi Chen; Xiaohu Wu; Kang Li 004; Qicheng Lao (CoRR, 2025)