Search Results - "Chen, Danny"
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A Deep Learning Approach for Colonoscopy Pathology WSI Analysis: Accurate Segmentation and Classification
Published in IEEE journal of biomedical and health informatics (01-10-2021)“…Colorectal cancer (CRC) is one of the most life-threatening malignancies. Colonoscopy pathology examination can identify cells of early-stage colon tumors in…”
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Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation
Published in IEEE transactions on medical imaging (01-10-2021)“…Many known supervised deep learning methods for medical image segmentation suffer an expensive burden of data annotation for model training. Recently, few-shot…”
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Data-Driven Deep Supervision for Medical Image Segmentation
Published in IEEE transactions on medical imaging (01-06-2022)“…Medical image segmentation plays a vital role in disease diagnosis and analysis. However, data-dependent difficulties such as low image contrast, noisy…”
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4
A Hierarchical Graph Network for 3D Object Detection on Point Clouds
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2020)“…3D object detection on point clouds finds many applications. However, most known point cloud object detection methods did not adequately accommodate the…”
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Conference Proceeding -
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STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes
Published in IEEE transactions on visualization and computer graphics (01-01-2022)“…We present STNet, an end-to-end generative framework that synthesizes spatiotemporal super-resolution volumes with high fidelity for time-varying data. STNet…”
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Towards Interpretable Arrhythmia Classification With Human-Machine Collaborative Knowledge Representation
Published in IEEE transactions on biomedical engineering (01-07-2021)“…Arrhythmia detection and classification is a crucial step for diagnosing cardiovascular diseases. However, deep learning models that are commonly used and…”
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A Robust Shape-Aware Rib Fracture Detection and Segmentation Framework With Contrastive Learning
Published in IEEE transactions on multimedia (01-01-2023)“…The rib fracture is a common type of thoracic skeletal trauma, and its inspections using computed tomography (CT) scans are critical for clinical evaluation…”
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TANGO: A GO-Term Embedding Based Method for Protein Semantic Similarity Prediction
Published in IEEE/ACM transactions on computational biology and bioinformatics (01-01-2023)“…We aim to quantitatively predict protein semantic similarities (PSS), which is vital to making biological discoveries. Previously, researchers commonly…”
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D-former: a U-shaped Dilated Transformer for 3D medical image segmentation
Published in Neural computing & applications (2023)“…Computer-aided medical image segmentation has been applied widely in diagnosis and treatment to obtain clinically useful information of shapes and volumes of…”
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10
TGSA: protein–protein association-based twin graph neural networks for drug response prediction with similarity augmentation
Published in Bioinformatics (03-01-2022)“…Abstract Motivation Drug response prediction (DRP) plays an important role in precision medicine (e.g. for cancer analysis and treatment). Recent advances in…”
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Journal Article -
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PCAT-UNet: UNet-like network fused convolution and transformer for retinal vessel segmentation
Published in PloS one (24-01-2022)“…The accurate segmentation of retinal vessels images can not only be used to evaluate and monitor various ophthalmic diseases, but also timely reflect systemic…”
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Globally optimal OCT surface segmentation using a constrained IPM optimization
Published in Optics express (17-01-2022)“…Segmentation of multiple surfaces in optical coherence tomography (OCT) images is a challenging problem, further complicated by the frequent presence of weak…”
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Journal Article -
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Identifying Electrocardiogram Abnormalities Using a Handcrafted-Rule-Enhanced Neural Network
Published in IEEE/ACM transactions on computational biology and bioinformatics (01-07-2023)“…A large number of people suffer from life-threatening cardiac abnormalities, and electrocardiogram (ECG) analysis is beneficial to determining whether an…”
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Journal Article -
14
A Task Decomposing and Cell Comparing Method for Cervical Lesion Cell Detection
Published in IEEE transactions on medical imaging (01-09-2022)“…Automatic detection of cervical lesion cells or cell clumps using cervical cytology images is critical to computer-aided diagnosis (CAD) for accurate,…”
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CNS-Native Myeloid Cells Drive Immune Suppression in the Brain Metastatic Niche through Cxcl10
Published in Cell (25-11-2020)“…Brain metastasis (br-met) develops in an immunologically unique br-met niche. Central nervous system-native myeloid cells (CNS-myeloids) and…”
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Journal Article -
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V2V: A Deep Learning Approach to Variable-to-Variable Selection and Translation for Multivariate Time-Varying Data
Published in IEEE transactions on visualization and computer graphics (01-02-2021)“…We present V2V, a novel deep learning framework, as a general-purpose solution to the variable-to-variable (V2V) selection and translation problem for…”
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Journal Article -
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KerNet: A Novel Deep Learning Approach for Keratoconus and Sub-Clinical Keratoconus Detection Based on Raw Data of the Pentacam HR System
Published in IEEE journal of biomedical and health informatics (01-10-2021)“…Keratoconus is one of the most severe corneal diseases, which is difficult to detect at the early stage (i.e., sub-clinical keratoconus) and possibly results…”
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A Cross-Domain Metal Trace Restoring Network for Reducing X-Ray CT Metal Artifacts
Published in IEEE transactions on medical imaging (01-12-2020)“…Metal artifacts commonly appear in computed tomography (CT) images of the patient body with metal implants and can affect disease diagnosis. Known deep…”
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19
Guest Editors’ Foreword
Published in Discrete & computational geometry (01-12-2022)Get full text
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Discriminative Cervical Lesion Detection in Colposcopic Images With Global Class Activation and Local Bin Excitation
Published in IEEE journal of biomedical and health informatics (01-04-2022)“…Accurate cervical lesion detection (CLD) methods using colposcopic images are highly demanded in computer-aided diagnosis (CAD) for automatic diagnosis of…”
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Journal Article