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Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

1st ed. 2021., 2021

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Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

1, 2022

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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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BIRNet: Brain image registration using dual-supervised fully convolutional networks

Medical image analysis, 2019-05, Vol.54, p.193-206

2019

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Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks

Deep Learning and Data Labeling for Medical Applications, p.170-178

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Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks

IEEE transactions on medical imaging, 2019-02, Vol.38 (2), p.585-595

2019

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Machine Learning in Medical Imaging: 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I

1, 2023

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Machine Learning in Medical Imaging: 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II

1, 2023

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Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, 2018-09, p.411-419

2018

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Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy

Nature communications, 2022-11, Vol.13 (1), p.6566-6566, Article 6566

2022

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Automatic brain labeling via multi-atlas guided fully convolutional networks

Medical image analysis, 2019-01, Vol.51, p.157-168

2019

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Influence of Different Types of Small Hydropower Stations on Macroinvertebrate Communities in the Changjiang River Basin, China

Water (Basel), 2019-09, Vol.11 (9), p.1892

2019

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Editorial: Advances in deep learning methods for medical image analysis

Frontiers in radiology, 2022, Vol.2, p.1097533-1097533

2022

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Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations

Frontiers in neuroinformatics, 2019-05, Vol.13, p.34-34

2019

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Computing infection distributions and longitudinal evolution patterns in lung CT images

BMC medical imaging, 2021-03, Vol.21 (1), p.57-57, Article 57

2021

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Transcriptome sequencing of olfactory-related genes in olfactory transduction of large yellow croaker ( Larimichthy crocea ) in response to bile salts

PeerJ (San Francisco, CA), 2019-03, Vol.7, p.e6627-e6627, Article e6627

2019

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Adversarial learning for mono- or multi-modal registration

Medical image analysis, 2019-12, Vol.58, p.101545-101545, Article 101545

2019

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Deformable Image Registration Using a Cue-Aware Deep Regression Network

IEEE transactions on biomedical engineering, 2018-09, Vol.65 (9), p.1900-1911

2018

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Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis

IEEE transactions on image processing, 2018-07, Vol.27 (7), p.3500-3512

2018

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Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

IEEE transactions on medical imaging, 2020-08, Vol.39 (8), p.2595-2605

2020

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Machine Learning in Medical Imaging Part II: 14th International Workshop, MLMI 2023, Held in Conjunction With MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

1st ed. 2024., 2023

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Machine Learning in Medical Imaging Part I: 14th International Workshop, MLMI 2023, Held in Conjunction With MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

1st ed. 2024., 2023

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HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images

IEEE transactions on medical imaging, 2021-08, Vol.40 (8), p.2118-2128

2021

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Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis

Medical image analysis, 2017-10, Vol.41, p.18-31

2017

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Enhanced nitrate-nitrogen removal by modified attapulgite-supported nanoscale zero-valent iron treating simulated groundwater

Journal of environmental management, 2018-05, Vol.213, p.151-158

2018

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Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

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

BIRNet: Brain image registration using dual-supervised fully convolutional networks

Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks

Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks

Machine Learning in Medical Imaging: 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part I

Machine Learning in Medical Imaging: 14th International Workshop, MLMI 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings, Part II

Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis

Deep learning empowered volume delineation of whole-body organs-at-risk for accelerated radiotherapy

Automatic brain labeling via multi-atlas guided fully convolutional networks

Influence of Different Types of Small Hydropower Stations on Macroinvertebrate Communities in the Changjiang River Basin, China

Editorial: Advances in deep learning methods for medical image analysis

Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations

Computing infection distributions and longitudinal evolution patterns in lung CT images

Transcriptome sequencing of olfactory-related genes in olfactory transduction of large yellow croaker ( Larimichthy crocea ) in response to bile salts

Adversarial learning for mono- or multi-modal registration

Deformable Image Registration Using a Cue-Aware Deep Regression Network

Region-Adaptive Deformable Registration of CT/MRI Pelvic Images via Learning-Based Image Synthesis

Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia

Machine Learning in Medical Imaging Part II: 14th International Workshop, MLMI 2023, Held in Conjunction With MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

Machine Learning in Medical Imaging Part I: 14th International Workshop, MLMI 2023, Held in Conjunction With MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings

HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images

Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis

Enhanced nitrate-nitrogen removal by modified attapulgite-supported nanoscale zero-valent iron treating simulated groundwater

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