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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

1st ed. 2019., 2019

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When is Slower Block Propagation More Profitable for Large Miners?

Computer Security – ESORICS 2023, p.285-305

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Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets

1, 2017

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Sequence Unlearning for Sequential Recommender Systems

AI 2023: Advances in Artificial Intelligence, p.403-415

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A Study on the Context Mode of the Linking Verb “Shì” Addressing a New Branch Naming

Chinese Lexical Semantics, p.474-489

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GWmodelS: A High-Performance Computing Framework for Geographically Weighted Models

Spatial Data and Intelligence, p.154-161

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ConfLabeling: Assisting Image Labeling with User and System Confidence

HCI International 2022 – Late Breaking Papers: Interacting with eXtended Reality and Artificial Intelligence, p.357-376

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SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement

AI 2023: Advances in Artificial Intelligence, p.91-102

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Glaucoma Detection Based on Deep Learning Network in Fundus Image

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019, p.119-137

2019

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Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019, p.69-91

2019

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Explainable Anomaly Detection System for Categorical Sensor Data in Internet of Things

Machine Learning and Knowledge Discovery in Databases, p.594-598

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CGPM: Poverty Mapping Framework Based on Multi-Modal Geographic Knowledge Integration and Macroscopic Social Network Mining

Machine Learning and Knowledge Discovery in Databases, p.549-564

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Multiple Teacher Model for Continual Test-Time Domain Adaptation

AI 2023: Advances in Artificial Intelligence, p.304-314

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Automatic Grading of Student Code with Similarity Measurement

Machine Learning and Knowledge Discovery in Databases, p.286-301

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Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019, p.3-21

2019

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Multi-source Inductive Knowledge Graph Transfer

Machine Learning and Knowledge Discovery in Databases, p.155-171

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Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning

Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, p.43-54

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SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer

Computer Vision – ECCV 2022, 2022, p.416-432

2022

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Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis

Deep Learning and Convolutional Neural Networks for Medical Image Computing, 2017, p.11-32

2017

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Beyond Random Selection: A Perspective from Model Inversion in Personalized Federated Learning

Machine Learning and Knowledge Discovery in Databases, p.572-586

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Multi-view 3D Morphable Face Reconstruction via Canonical Volume Fusion

Artificial Intelligence, p.545-558

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Agent-Based Methods for Medical Image Registration

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019, p.323-345

2019

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Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019, p.413-435

2019

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Simultaneous Super-Resolution and Cross-Modality Synthesis in Magnetic Resonance Imaging

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019, p.437-457

2019

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Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019, p.93-115

2019

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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

When is Slower Block Propagation More Profitable for Large Miners?

Deep Learning and Convolutional Neural Networks for Medical Image Computing: Precision Medicine, High Performance and Large-Scale Datasets

Sequence Unlearning for Sequential Recommender Systems

A Study on the Context Mode of the Linking Verb “Shì” Addressing a New Branch Naming

GWmodelS: A High-Performance Computing Framework for Geographically Weighted Models

ConfLabeling: Assisting Image Labeling with User and System Confidence

SAR2EO: A High-Resolution Image Translation Framework with Denoising Enhancement

Glaucoma Detection Based on Deep Learning Network in Fundus Image

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples

Explainable Anomaly Detection System for Categorical Sensor Data in Internet of Things

CGPM: Poverty Mapping Framework Based on Multi-Modal Geographic Knowledge Integration and Macroscopic Social Network Mining

Multiple Teacher Model for Continual Test-Time Domain Adaptation

Automatic Grading of Student Code with Similarity Measurement

Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning

Multi-source Inductive Knowledge Graph Transfer

Document-Level Relation Extraction with a Dependency Syntax Transformer and Supervised Contrastive Learning

SeedFormer: Patch Seeds Based Point Cloud Completion with Upsample Transformer

Review of Deep Learning Methods in Mammography, Cardiovascular, and Microscopy Image Analysis

Beyond Random Selection: A Perspective from Model Inversion in Personalized Federated Learning

Multi-view 3D Morphable Face Reconstruction via Canonical Volume Fusion

Agent-Based Methods for Medical Image Registration

Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database

Simultaneous Super-Resolution and Cross-Modality Synthesis in Magnetic Resonance Imaging

Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning

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