Qicheng Lao

Orcid: 0000-0002-6032-8548

According to our database1, Qicheng Lao authored at least 44 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2020
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2025
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Online presence:

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Bibliography

2025
Boosting Your Context by Dual Similarity Checkup for In-Context Learning Medical Image Segmentation.
IEEE Trans. Medical Imaging, January, 2025

Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations.
CoRR, January, 2025

2024
Continual Learning of Image Classes With Language Guidance From a Vision-Language Model.
IEEE Trans. Circuits Syst. Video Technol., December, 2024

Hierarchical-Instance Contrastive Learning for Minority Detection on Imbalanced Medical Datasets.
IEEE Trans. Medical Imaging, January, 2024

FlowX: Towards Explainable Graph Neural Networks via Message Flows.
IEEE Trans. Pattern Anal. Mach. Intell., 2024

Diabetic foot ulcers segmentation challenge report: Benchmark and analysis.
Medical Image Anal., 2024

Deblurring masked image modeling for ultrasound image analysis.
Medical Image Anal., 2024

Evaluating Hallucination in Text-to-Image Diffusion Models with Scene-Graph based Question-Answering Agent.
CoRR, 2024

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning.
CoRR, 2024

MLAE: Masked LoRA Experts for Parameter-Efficient Fine-Tuning.
CoRR, 2024

OpenMEDLab: An Open-source Platform for Multi-modality Foundation Models in Medicine.
CoRR, 2024

Increasing SAM Zero-Shot Performance on Multimodal Medical Images Using GPT-4 Generated Descriptive Prompts Without Human Annotation.
CoRR, 2024

One-to-Normal: Anomaly Personalization for Few-shot Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Curriculum Prompting Foundation Models for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Prompting Vision-Language Models for Dental Notation Aware Abnormality Detection.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Medical Language Mixture of Experts for Improving Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Learning Task-Level Pseudo-Text Prompt for Improved Medical Image Segmentation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

2023
Anatomically Guided Cross-Domain Repair and Screening for Ultrasound Fetal Biometry.
IEEE J. Biomed. Health Informatics, October, 2023

On the Benefits of Two Dimensional Metric Learning.
IEEE Trans. Knowl. Data Eng., 2023

Self-supervised anomaly detection, staging and segmentation for retinal images.
Medical Image Anal., 2023

ConES: Concept Embedding Search for Parameter Efficient Tuning Large Vision Language Models.
CoRR, 2023

SAM on Medical Images: A Comprehensive Study on Three Prompt Modes.
CoRR, 2023

Towards General Purpose Medical AI: Continual Learning Medical Foundation Model.
CoRR, 2023

Deblurring Masked Autoencoder Is Better Recipe for Ultrasound Image Recognition.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Multiple Prompt Fusion for Zero-Shot Lesion Detection Using Vision-Language Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay.
IEEE Trans. Neural Networks Learn. Syst., 2022

Thyroid nodule segmentation and classification in ultrasound images through intra- and inter-task consistent learning.
Medical Image Anal., 2022

OCRNet for Diabetic Foot Ulcer Segmentation Combined with Edge Loss.
Proceedings of the Diabetic Foot Ulcers Grand Challenge - Third Challenge, 2022

Unsupervised Cross-disease Domain Adaptation by Lesion Scale Matching.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Distilling Knowledge from Topological Representations for Pathological Complete Response Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
FoCL: Feature-oriented continual learning for generative models.
Pattern Recognit., 2021

Conditional generation of medical images via disentangled adversarial inference.
Medical Image Anal., 2021

Towards Adversarial Robustness via Transductive Learning.
CoRR, 2021

Hypothesis Disparity Regularized Mutual Information Maximization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Continuous Domain Adaptation with Variational Domain-Agnostic Feature Replay.
CoRR, 2020

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Cell Phenotype Classification Using Deep Residual Network and Its Variants.
Int. J. Pattern Recognit. Artif. Intell., 2019

Nuclei Segmentation in Histopathological Images Using Two-Stage Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Dual Adversarial Inference for Text-to-Image Synthesis.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Leveraging Disease Progression Learning for Medical Image Recognition.
CoRR, 2018

Leveraging Disease Progression Learning for Medical Image Recognition.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks.
Proceedings of the British Machine Vision Conference 2017, 2017


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