9 citations · 32 across the 7 of their papers we have counts for
7 papers
Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion
Shengyuan Liu, Zhen Chen, Qiushi Yang +4
Automated diagnostic systems (ADS) have shown significant potential in the early detection of polyps during endoscopic examinations, thereby reducing the incidence of colorectal ca…
PANS: Probabilistic Airway Navigation System for Real-time Robust Bronchoscope Localization
Qingyao Tian, Zhen Chen, Huai Liao +4
Accurate bronchoscope localization is essential for pulmonary interventions, by providing six degrees of freedom (DOF) in airway navigation. However, the robustness of current visi…
Unified Multi-modal Diagnostic Framework with Reconstruction Pre-training and Heterogeneity-combat Tuning
Yupei Zhang, Li Pan, Qiushi Yang +2
Medical multi-modal pre-training has revealed promise in computer-aided diagnosis by leveraging large-scale unlabeled datasets. However, existing methods based on masked autoencode…
UN-SAM: Universal Prompt-Free Segmentation for Generalized Nuclei Images
Zhen Chen, Qing Xu, Xinyu Liu +1
In digital pathology, precise nuclei segmentation is pivotal yet challenged by the diversity of tissue types, staining protocols, and imaging conditions. Recently, the segment anyt…
Exploring Gradient Flow Based Saliency for DNN Model Compression
Xinyu Liu, Baopu Li, Zhen Chen +1
Model pruning aims to reduce the deep neural network (DNN) model size or computational overhead. Traditional model pruning methods such as l-1 pruning that evaluates the channel si…
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
Zhen Chen, Meilu Zhu, Chen Yang +1
Nowadays, deep learning methods with large-scale datasets can produce clinically useful models for computer-aided diagnosis. However, the privacy and ethical concerns are increasin…
Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation
Xiaoqing Guo, Zhen Chen, Yixuan Yuan
Automatic melanoma segmentation in dermoscopic images is essential in computer-aided diagnosis of skin cancer. Existing methods may suffer from the hole and shrink problems with li…