Qi Chang

Multimodal Bronchoscopic Video Analysis System for Early Lung Cancer Detection

Qi Chang, Vahid Daneshpajooh, Danish Ahmad, Jennifer W Toth et autres

Early detection of lung cancer is crucial as it significantly improves survival rates by facilitating timely and effective treatment. Lung cancer often begins as bronchial lesions developing along the airway walls. Bronchoscopy is the minimally invasive method of choice for detecting such …

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A federated continuous learning framework based on hypernetworks and dual-domain distillation

Qi Chang, Yanyan Zhang, Nong Si, Zimeng Wang et autres

Federated learning, as an emerging paradigm in the field of distributed machine learning, can handle both "data silos" and privacy protection issues by jointly training global models with scattered data parties while ensuring that data from all parties remains locally at all …

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Dynamic parameter screening and hierarchical optimization methods for heterogeneous federated learning

Zimeng Wang, Yanyan Zhang, Nong Si, Qi Chang et autres

Federated learning is a machine learning solution for distributed entities that aims to build high-quality machine learning models using local data on dispersed end devices while protecting client privacy. However, in federated learning, differences in client computing power and the non-independent and …

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Two-phase radial endobronchial ultrasound bronchoscopy registration

Wennan Zhao, Trevor K. Kuhlengel, Qi Chang, Vahid Daneshpajooh et autres

Purpose: Lung cancer remains the leading cause of cancer death. This has brought about a critical need for managing peripheral regions of interest (ROIs) in the lungs, be it for cancer diagnosis, staging, or treatment. The state-of-the-art approach for assessing peripheral ROIs …

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Integrated video analysis system for autofluorescence bronchoscopy

Qi Chang, Danish Ahmad, Jennifer W Toth, Rebecca Bascom et autres

Early detection of lung cancer allows for more effective treatment and helps increase the likelihood of patient survival. This fact has inspired the search for biomarkers that can help indicate disease development and cancer risk. One important minimally invasive method for identifying …

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Self-supervised monocular depth and ego-motion estimation for CT-bronchoscopy fusion

Qi Chang, William Evan Higgins

The management of lung cancer necessitates robust diagnostic tools, with three-dimensional (3D) computed tomography (CT) imaging and bronchoscopy standing as pivotal complementary resources. Bronchoscopy captures live endobronchial video, providing striking detail of the airway tree’s interior, while 3D CT scans contribute extensive …

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Dealing with Heterogeneous 3d Mr Knee Images: A Federated Few-Shot Learning Method with Dual Knowledge Distillation

Xiaoxiao He, Chaowei Tan, Bo Liu, Li‐Ping Si et autres

Federated Learning has gained popularity among medical institutions since it enables collaborative training between clients (e.g., hospitals) without aggregating data. However, due to the high cost associated with creating annotations, especially for large 3D image datasets, clinical institutions do not have enough …

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Modality Bank: Learn multi-modality images across data centers without sharing medical data

Qi Chang, Hui Yan Qu, Zhennan Yan, Yunhe Gao et autres

Multi-modality images have been widely used and provide comprehensive information for medical image analysis. However, acquiring all modalities among all institutes is costly and often impossible in clinical settings. To leverage more comprehensive multi-modality information, we propose privacy secured decentralized multi-modality adaptive …

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Refined Deep Layer Aggregation for Multi-Disease, Multi-View & Multi-Center Cardiac MR Segmentation

Di Liu, Zhennan Yan, Qi Chang, Leon Axel et autres

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An Unsupervised 3D Recurrent Neural Network for Slice Misalignment Correction in Cardiac MR Imaging

Qi Chang, Zhennan Yan, Meng Ye, Mikael Kanski et autres

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DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method

Qi Chang, Zhennan Yan, Mu Zhou, Di Liu et autres

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Region Proposal Rectification Towards Robust Instance Segmentation of Biological Images

Qilong Zhangli, Jingru Yi, Di Liu, Xiaoxiao He et autres

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