4.7 Article

Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets

Related references

Note: Only part of the references are listed.
Article Computer Science, Interdisciplinary Applications

Learning-Based Quality Control for Cardiac MR Images

Giacomo Tarroni et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)

Article Computer Science, Interdisciplinary Applications

Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Olivier Bernard et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2018)

Article Computer Science, Artificial Intelligence

Spine-GAN: Semantic segmentation of multiple spinal structures

Zhongyi Han et al.

MEDICAL IMAGE ANALYSIS (2018)

Article Computer Science, Artificial Intelligence

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Konstantinos Kamnitsas et al.

MEDICAL IMAGE ANALYSIS (2017)

Article Cardiac & Cardiovascular Systems

Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort

Steffen E. Petersen et al.

JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE (2017)

Article Computer Science, Artificial Intelligence

Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI

Xiahai Zhuang et al.

MEDICAL IMAGE ANALYSIS (2016)

Article Cardiac & Cardiovascular Systems

UK Biobank's cardiovascular magnetic resonance protocol

Steffen E. Petersen et al.

JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE (2016)

Article Radiology, Nuclear Medicine & Medical Imaging

Whole-Body MR Imaging in the German National Cohort:Rationale, Design, and Technical Background

Fabian Bamberg et al.

RADIOLOGY (2015)

Review Cardiac & Cardiovascular Systems

Cardiac magnetic resonance imaging: artefacts for clinicians

A. W. M. van der Graaf et al.

NETHERLANDS HEART JOURNAL (2014)

Article Mathematics, Applied

Medical image interpolation based on multi-resolution registration

Juelin Leng et al.

COMPUTERS & MATHEMATICS WITH APPLICATIONS (2013)

Article Multidisciplinary Sciences

Principled missing data methods for researchers

Yiran Dong et al.

SPRINGERPLUS (2013)

Article Cardiac & Cardiovascular Systems

Quality assessment of cardiovascular magnetic resonance in the setting of the European CMR registry: description and validation of standardized criteria

Vincenzo Klinke et al.

JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE (2013)

Review Cardiac & Cardiovascular Systems

Imaging in population science: cardiovascular magnetic resonance in 100,000 participants of UK Biobank - rationale, challenges and approaches

Steffen E. Petersen et al.

JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE (2013)

Review Cardiac & Cardiovascular Systems

Cardiovascular magnetic resonance artefacts

Pedro F. Ferreira et al.

JOURNAL OF CARDIOVASCULAR MAGNETIC RESONANCE (2013)

Article Computer Science, Artificial Intelligence

Pattern classification with missing data: a review

Pedro J. Garcia-Laencina et al.

NEURAL COMPUTING & APPLICATIONS (2010)

Article Psychology, Educational

Best Practices for Missing Data Management in Counseling Psychology

Gabriel L. Schlomer et al.

JOURNAL OF COUNSELING PSYCHOLOGY (2010)

Article Computer Science, Interdisciplinary Applications

A new method for registration-based medical image interpolation

David H. Frakes et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2008)

Article Computer Science, Artificial Intelligence

Image quality assessment: From error visibility to structural similarity

Z Wang et al.

IEEE TRANSACTIONS ON IMAGE PROCESSING (2004)

Article Medicine, General & Internal

Cardiovascular magnetic resonance: twenty-first century solutions in cardiology

DJ Pennell

CLINICAL MEDICINE (2003)

Review Computer Science, Interdisciplinary Applications

Three-dimensional modeling for functional analysis of cardiac images: A review

AF Frangi et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2001)