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Rapidly tunable and highly reversible bio-inspired dry adhesion for transfer printing in air and a vacuum

Soft matter, 2019, Vol.15 (1), p.30-37

2019

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Identification, Characterization and Function of Orphan Genes Among the Current Cucurbitaceae Genomes

Frontiers in plant science, 2022-05, Vol.13, p.872137-872137

2022

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Machine Learning-Based Critical Congenital Heart Disease Screening Using Dual-Site Pulse Oximetry Measurements

Journal of the American Heart Association, 2024-06, Vol.13 (12), p.e033786

2024

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Reduction in Chemical Fertilizer Rates by Applying Bio-Organic Fertilizer for Optimization Yield and Quality of Hemerocallis citrina Baroni

Agronomy (Basel), 2024-08, Vol.14 (8), p.1627

2024

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Machine learning quantification of Amyloid-β deposits in the temporal lobe of 131 brain bank cases

Acta neuropathologica communications, 2024-08, Vol.12 (1), p.134-16

2024

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BrainSec: Automated Brain Tissue Segmentation Pipeline for Scalable Neuropathological Analysis

IEEE access, 2022, Vol.10, p.49064-49079

2022

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A novel system to collect dual pulse oximetry data for critical congenital heart disease screening research

Journal of clinical and translational science, 2021-01, Vol.5 (1), p.e56-e56, Article e56

2021

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Robust Machine Learning Directed Toward Pathology Imaging Applications With Limited Labeled Data

Lai, Zhengfeng

2023

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Preanalytic variable effects on segmentation and quantification machine learning algorithms for amyloid-β analyses on digitized human brain slides

Journal of neuropathology and experimental neurology, 2023-02, Vol.82 (3), p.212-220

2023

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Rapidly tunable and highly reversible bio-inspired dry adhesion for transfer printing in air and a vacuumElectronic supplementary information (ESI) available: Molds for stamp fabrication; the adhesion test equipment; dependence of the pull-off force on the preload; force-displacement curve with the elevated magnetic pressure and the low retraction speed; the material parameters; the stamp, localized electromagnet and the automated transfer printing platform for selective printing; the mechanics

2018-12

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Analysis of Transcriptome Response to Low Temperature Stress in Mesembryanthemum crystallinum Linn

Molecular plant breeding (English), 2022

2022

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Genome-Wide Identification of Tomato (Solanum lycopersicum L.) CKX Gene Family and Expression Analysis in the Callus Tissue under Zeatin Treatment

Phyton (Buenos Aires), 2024, Vol.93 (6), p.1143-1158

2024

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Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models

2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024, p.2679-2689

2024

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Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2021, Vol.2021, p.591-600

2021

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Semi-Path: An interactive semi-supervised learning framework for gigapixel pathology image analysis

Smart health (Amsterdam), 2024-06, Vol.32, p.100474, Article 100474

2024

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CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), 2023, p.2366-2372

2023

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SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022, p.4090-4099

2022

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A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.1920-1923

2021

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A Machine Learning Driven Pipeline for Automated Photoplethysmogram Signal Artifact Detection

2021 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2021, p.149-154

2021

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Enhanced Critical Congenital Cardiac Disease Screening by Combining Interpretable Machine Learning Algorithms

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021, Vol.2021, p.1403-1406

2021

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Automated grey and white matter segmentation in digitized Aβ human brain tissue slide images

2020 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 2020, p.1-6

2020

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VeCLIP: Improving CLIP Training via Visual-Enriched Captions

Computer Vision – ECCV 2024, 2024, p.111-127

2024

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Analogous plasmon-induced absorption based on an end-coupled MDM structure with area-cost-free cavities

Applied optics (2004), 2022-06, Vol.61 (17), p.5106

2022

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Novel Low Cost, Double-and-Triple-Node-Upset-Tolerant Latch Designs for Nano-scale CMOS

IEEE transactions on emerging topics in computing, 2021-01, Vol.9 (1), p.520-533

2021

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Phase Transformations and Deoxidation Kinetics during the Electrochemical Reduction of TiO2 in Molten CaCl2

Materials transactions, 2019-03, Vol.60 (3), p.416-421

2019

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Rapidly tunable and highly reversible bio-inspired dry adhesion for transfer printing in air and a vacuum

Identification, Characterization and Function of Orphan Genes Among the Current Cucurbitaceae Genomes

Machine Learning-Based Critical Congenital Heart Disease Screening Using Dual-Site Pulse Oximetry Measurements

Reduction in Chemical Fertilizer Rates by Applying Bio-Organic Fertilizer for Optimization Yield and Quality of Hemerocallis citrina Baroni

Machine learning quantification of Amyloid-β deposits in the temporal lobe of 131 brain bank cases

BrainSec: Automated Brain Tissue Segmentation Pipeline for Scalable Neuropathological Analysis

A novel system to collect dual pulse oximetry data for critical congenital heart disease screening research

Robust Machine Learning Directed Toward Pathology Imaging Applications With Limited Labeled Data

Preanalytic variable effects on segmentation and quantification machine learning algorithms for amyloid-β analyses on digitized human brain slides

Analysis of Transcriptome Response to Low Temperature Stress in Mesembryanthemum crystallinum Linn

Genome-Wide Identification of Tomato (Solanum lycopersicum L.) CKX Gene Family and Expression Analysis in the Callus Tissue under Zeatin Treatment

Empowering Unsupervised Domain Adaptation with Large-scale Pre-trained Vision-Language Models

Joint Semi-supervised and Active Learning for Segmentation of Gigapixel Pathology Images with Cost-Effective Labeling

Semi-Path: An interactive semi-supervised learning framework for gigapixel pathology image analysis

CLIPath: Fine-tune CLIP with Visual Feature Fusion for Pathology Image Analysis Towards Minimizing Data Collection Efforts

SaR: Self-adaptive Refinement on Pseudo Labels for Multiclass-Imbalanced Semi-supervised Learning

A Semi-supervised Learning for Segmentation of Gigapixel Histopathology Images from Brain Tissues

A Machine Learning Driven Pipeline for Automated Photoplethysmogram Signal Artifact Detection

Enhanced Critical Congenital Cardiac Disease Screening by Combining Interpretable Machine Learning Algorithms

Automated grey and white matter segmentation in digitized Aβ human brain tissue slide images

VeCLIP: Improving CLIP Training via Visual-Enriched Captions

Analogous plasmon-induced absorption based on an end-coupled MDM structure with area-cost-free cavities

Novel Low Cost, Double-and-Triple-Node-Upset-Tolerant Latch Designs for Nano-scale CMOS

Phase Transformations and Deoxidation Kinetics during the Electrochemical Reduction of TiO2 in Molten CaCl2

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