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Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

1st ed. 2019., 2019

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Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

1st ed. 2020., 2020

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Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

1st Edition 2018, 2018

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Domain Adaptation for Medical Image Analysis: A Survey

IEEE transactions on biomedical engineering, 2022-03, Vol.69 (3), p.1173-1185

2022

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Graph Learning in Medical Imaging: First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

1st Edition 2019, 2019

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Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks

IEEE transactions on image processing, 2017-10, Vol.26 (10), p.4753-4764

2017

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Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment

IEEE transactions on medical imaging, 2016-06, Vol.35 (6), p.1463-1474

2016

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A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis

Frontiers in neuroscience, 2020-10, Vol.14, p.779-779

2020

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Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease

Medical image analysis, 2018-07, Vol.47, p.81-94

2018

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DomainATM: Domain adaptation toolbox for medical data analysis

NeuroImage (Orlando, Fla.), 2023-03, Vol.268, p.119863-119863, Article 119863

2023

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Microglia in depression: an overview of microglia in the pathogenesis and treatment of depression

Journal of neuroinflammation, 2022-06, Vol.19 (1), p.132-132, Article 132

2022

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Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification

IEEE transactions on pattern analysis and machine intelligence, 2016-11, Vol.38 (11), p.2335-2341

2016

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The effect of ultrasonic surface rolling process on the fretting fatigue property of GH4169 superalloy

International journal of fatigue, 2020-04, Vol.133, p.105373, Article 105373

2020

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Pairwise Constraint-Guided Sparse Learning for Feature Selection

IEEE transactions on cybernetics, 2016-01, Vol.46 (1), p.298-310

2016

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View-centralized multi-atlas classification for Alzheimer's disease diagnosis

Human brain mapping, 2015-05, Vol.36 (5), p.1847-1865

2015

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Strength and similarity guided group-level brain functional network construction for MCI diagnosis

Pattern recognition, 2019-04, Vol.88, p.421-430

2019

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Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification

Medical image analysis, 2021-07, Vol.71, p.102076-102076, Article 102076

2021

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Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease

IEEE transactions on biomedical engineering, 2017-01, Vol.64 (1), p.238-249

2017

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Two-Stage Cost-Sensitive Learning for Software Defect Prediction

IEEE transactions on reliability, 2014-06, Vol.63 (2), p.676-686

2014

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Stepwise extraction of valuable components from red mud based on reductive roasting with sodium salts

Journal of hazardous materials, 2014-09, Vol.280, p.774-780

2014

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Empirical Research on the Influence Mechanisms of Digital Resources Input on Service Innovation in China’s Finance Industry

Sustainability (Basel, Switzerland), 2022-06, Vol.14 (12), p.7143

2022

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First-year development of modules and hubs in infant brain functional networks

NeuroImage (Orlando, Fla.), 2019-01, Vol.185, p.222-235

2019

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Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research

Molecules (Basel, Switzerland), 2023-11, Vol.28 (21), p.7430

2023

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Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection

PloS one, 2019-09, Vol.14 (9), p.e0222713-e0222713

2019

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Prospective, comparative evaluation of a deep neural network and dermoscopy in the diagnosis of onychomycosis

PloS one, 2020-06, Vol.15 (6), p.e0234334-e0234334

2020

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Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings

Machine Learning in Medical Imaging: 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Domain Adaptation for Medical Image Analysis: A Survey

Graph Learning in Medical Imaging: First International Workshop, GLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

Detecting Anatomical Landmarks From Limited Medical Imaging Data Using Two-Stage Task-Oriented Deep Neural Networks

Relationship Induced Multi-Template Learning for Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment

A Survey on Deep Learning for Neuroimaging-Based Brain Disorder Analysis

Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease

DomainATM: Domain adaptation toolbox for medical data analysis

Microglia in depression: an overview of microglia in the pathogenesis and treatment of depression

Joint Binary Classifier Learning for ECOC-Based Multi-Class Classification

The effect of ultrasonic surface rolling process on the fretting fatigue property of GH4169 superalloy

Pairwise Constraint-Guided Sparse Learning for Feature Selection

View-centralized multi-atlas classification for Alzheimer's disease diagnosis

Strength and similarity guided group-level brain functional network construction for MCI diagnosis

Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification

Temporally Constrained Group Sparse Learning for Longitudinal Data Analysis in Alzheimer's Disease

Two-Stage Cost-Sensitive Learning for Software Defect Prediction

Stepwise extraction of valuable components from red mud based on reductive roasting with sodium salts

Empirical Research on the Influence Mechanisms of Digital Resources Input on Service Innovation in China’s Finance Industry

First-year development of modules and hubs in infant brain functional networks

Recent Progress in Mass Spectrometry-Based Metabolomics in Major Depressive Disorder Research

Self Multi-Head Attention-based Convolutional Neural Networks for fake news detection

Prospective, comparative evaluation of a deep neural network and dermoscopy in the diagnosis of onychomycosis

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