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2020 – today
- 2025
[j16]Xi Chen
, Huahui Yi, Mingke You, Weizhi Liu, Li Wang, Hairui Li, Xue Zhang, Yingman Guo, Lei Fan, Gang Chen, Qicheng Lao, Weili Fu, Kang Li, Jian Li:
Enhancing diagnostic capability with multi-agents conversational large language models. npj Digit. Medicine 8(1) (2025)- [j15]Jun Gao, Qicheng Lao, Qingbo Kang, Paul Liu, Chenlin Du, Kang Li, Le Zhang:
Boosting Your Context by Dual Similarity Checkup for In-Context Learning Medical Image Segmentation. IEEE Trans. Medical Imaging 44(1): 310-319 (2025) - [i25]Kangyu Zhu, Ziyuan Qin, Huahui Yi, Zekun Jiang, Qicheng Lao, Shaoting Zhang, Kang Li:
Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations. CoRR abs/2501.02385 (2025) - [i24]Yiyue Li, Shaoting Zhang, Kang Li, Qicheng Lao:
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection. CoRR abs/2502.01201 (2025) - [i23]Anyang Ji, Qingbo Kang, Wei Xu, Changfan Wang, Kang Li, Qicheng Lao:
Confounder-Aware Medical Data Selection for Fine-Tuning Pretrained Vision Models. CoRR abs/2503.00744 (2025) - 2024
- [j14]Zekun Jiang, Dongjie Cheng, Ziyuan Qin, Jun Gao, Qicheng Lao, Abdullaev Bakhrom Ismoilovich, Urazboev Gayrat, Yuldashov Elyorbek, Bekchanov Habibullo, Defu Tang, Linjing Wei, Kang Li, Le Zhang:
TV-SAM: Increasing Zero-Shot Segmentation Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation. Big Data Min. Anal. 7(4): 1199-1211 (2024) - [j13]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: 103153 (2024) - [j12]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: 103256 (2024) - [j11]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): 4567-4578 (2024) - [j10]Wentao Zhang, Yujun Huang, Weizhuo Zhang, Tong Zhang, Qicheng Lao, Yue Yu, Wei-Shi Zheng, Ruixuan Wang:
Continual Learning of Image Classes With Language Guidance From a Vision-Language Model. IEEE Trans. Circuits Syst. Video Technol. 34(12): 13152-13163 (2024) - [j9]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): 416-426 (2024) - [c19]Yaru Liu, Jiangbo Pei, Zhu He, Guangjing Yang, Zhuqing Jiang, Qicheng Lao:
Medical Language Mixture of Experts for Improving Medical Image Segmentation. BIBM 2024: 2210-2216 - [c18]Zhu He, Yaru Liu, Guangjing Yang, Xueqi Bao, Yufei Chai, Qicheng Lao:
Learning Task-Level Pseudo-Text Prompt for Improved Medical Image Segmentation. BIBM 2024: 3262-3267 - [c17]Xiuqi Zheng, Yuhang Zhang, Haoran Zhang, Hongrui Liang, Xueqi Bao, Zhuqing Jiang, Qicheng Lao:
Curriculum Prompting Foundation Models for Medical Image Segmentation. MICCAI (12) 2024: 487-497 - [c16]Chenlin Du, Xiaoxuan Chen, Jingyi Wang, Junjie Wang, Zhongsen Li, Zongjiu Zhang, Qicheng Lao:
Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection. MICCAI (12) 2024: 687-697 - [c15]Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu:
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. NeurIPS 2024 - [c14]Yiyue Li, Shaoting Zhang, Kang Li, Qicheng Lao:
One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection. NeurIPS 2024 - [i22]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 abs/2402.15759 (2024) - [i21]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 abs/2402.18028 (2024) - [i20]Junjie Wang, Guangjing Yang, Wentao Chen, Huahui Yi, Xiaohu Wu, Qicheng Lao:
MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning. CoRR abs/2405.18897 (2024) - [i19]Xiuqi Zheng, Yuhang Zhang, Haoran Zhang, Hongrui Liang, Xueqi Bao, Zhuqing Jiang, Qicheng Lao:
Curriculum Prompting Foundation Models for Medical Image Segmentation. CoRR abs/2409.00695 (2024) - [i18]Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Han Yu:
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. CoRR abs/2410.07286 (2024) - [i17]Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu:
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. CoRR abs/2410.19321 (2024) - [i16]Ziyuan Qin, Dongjie Cheng, Haoyu Wang, Huahui Yi, Yuting Shao, Zhiyuan Fan, Kang Li, Qicheng Lao:
Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent. CoRR abs/2412.05722 (2024) - 2023
- [j8]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: 102805 (2023) - [j7]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): 4914-4925 (2023) - [j6]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): 1909-1921 (2023) - [c13]Ziyuan Qin, Huahui Yi, Qicheng Lao, Kang Li:
MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY. ICLR 2023 - [c12]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: 283-292 - [c11]Qingbo Kang, Jun Gao, Kang Li, Qicheng Lao:
Deblurring Masked Autoencoder Is Better Recipe for Ultrasound Image Recognition. MICCAI (1) 2023: 352-362 - [i15]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 abs/2303.06580 (2023) - [i14]Dongjie Cheng, Ziyuan Qin, Zekun Jiang, Shaoting Zhang, Qicheng Lao, Kang Li:
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes. CoRR abs/2305.00035 (2023) - [i13]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 abs/2305.18993 (2023) - [i12]Qingbo Kang, Jun Gao, Kang Li, Qicheng Lao:
Deblurring Masked Autoencoder is Better Recipe for Ultrasound Image Recognition. CoRR abs/2306.08249 (2023) - 2022
- [j5]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: 102443 (2022) - [j4]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): 4466-4478 (2022) - [c10]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: 31-39 - [c9]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: 56-65 - [c8]Jun Gao, Qicheng Lao, Qingbo Kang, Paul Liu, Le Zhang, Kang Li:
Unsupervised Cross-disease Domain Adaptation by Lesion Scale Matching. MICCAI (8) 2022: 660-670 - [i11]Shurui Gui, Hao Yuan, Jie Wang, Qicheng Lao, Kang Li, Shuiwang Ji:
FlowX: Towards Explainable Graph Neural Networks via Message Flows. CoRR abs/2206.12987 (2022) - [i10]Ziyuan Qin, Huahui Yi, Qicheng Lao, Kang Li:
Medical Image Understanding with Pretrained Vision Language Models: A Comprehensive Study. CoRR abs/2209.15517 (2022) - 2021
- [j3]Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao:
Conditional generation of medical images via disentangled adversarial inference. Medical Image Anal. 72: 102106 (2021) - [j2]Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei:
FoCL: Feature-oriented continual learning for generative models. Pattern Recognit. 120: 108127 (2021) - [c7]Qicheng Lao, Xiang Jiang, Mohammad Havaei:
Hypothesis Disparity Regularized Mutual Information Maximization. AAAI 2021: 8243-8251 - [c6]Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao:
Conditional Generation of Medical Images via Disentangled Adversarial Inference. DGM4MICCAI/DALI@MICCAI 2021: 45-66 - [i9]Jiefeng Chen, Yang Guo, Xi Wu, Tianqi Li, Qicheng Lao, Yingyu Liang, Somesh Jha:
Towards Adversarial Robustness via Transductive Learning. CoRR abs/2106.08387 (2021) - 2020
- [c5]Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei:
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. ICML 2020: 4816-4827 - [i8]Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei:
FoCL: Feature-Oriented Continual Learning for Generative Models. CoRR abs/2003.03877 (2020) - [i7]Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio:
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay. CoRR abs/2003.04382 (2020) - [i6]Xiang Jiang, Qicheng Lao, Stan Matwin, Mohammad Havaei:
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation. CoRR abs/2006.04996 (2020) - [i5]Mohammad Havaei, Ximeng Mao, Yiping Wang, Qicheng Lao:
Conditional Generation of Medical Images via Disentangled Adversarial Inference. CoRR abs/2012.04764 (2020) - [i4]Qicheng Lao, Xiang Jiang, Mohammad Havaei:
Hypothesis Disparity Regularized Mutual Information Maximization. CoRR abs/2012.08072 (2020)
2010 – 2019
- 2019
- [j1]Qicheng Lao, Thomas Fevens:
Cell Phenotype Classification Using Deep Residual Network and Its Variants. Int. J. Pattern Recognit. Artif. Intell. 33(11): 1940017:1-1940017:15 (2019) - [c4]Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. ICCV 2019: 7566-7575 - [c3]Qingbo Kang, Qicheng Lao, Thomas Fevens:
Nuclei Segmentation in Histopathological Images Using Two-Stage Learning. MICCAI (1) 2019: 703-711 - [i3]Qicheng Lao, Thomas Fevens:
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. CoRR abs/1905.11567 (2019) - [i2]Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. CoRR abs/1908.05324 (2019) - 2018
- [c2]Qicheng Lao, Thomas Fevens, Boyu Wang:
Leveraging Disease Progression Learning for Medical Image Recognition. BIBM 2018: 671-675 - [i1]Qicheng Lao, Thomas Fevens:
Leveraging Disease Progression Learning for Medical Image Recognition. CoRR abs/1806.10128 (2018) - 2017
- [c1]Qicheng Lao, Thomas Fevens:
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. BMVC 2017
Coauthor Index
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