Magnetic Resonance Imaging (MRI) offers high-resolution in vivo imaging and rich functional and anatomical multimodality tissue contrast. In practice, however, there are challenges associated with considerations of scanning costs, patient comfort, and scanning time that constrain how much data can be acquired in clinical or research studies. In this paper, we explore the possibility of generating high-resolution and multimodal images from low-resolution single-modality imagery. We propose the weakly-supervised joint convolutional sparse coding to simultaneously solve the problems of super-resolution (SR) and cross-modality image synthesis. The learning process requires only a few registered multimodal image pairs as the training set. Additi...
Generating multi-contrasts/modal MRI of the same anatomy enriches diagnostic information but is limi...
Magnetic resonance (MR) imaging tasks often involve multiple contrasts, such as T1-weighted, T2-weig...
Cross-modality synthesis (CMS), super-resolution (SR), and their combination (CMSR) have been extens...
Multi-modality medical imaging is increasingly used for comprehensive assessment of complex diseases...
Multi-modality medical imaging is increasingly used for comprehensive assessment of complex diseases...
Multi-modality medical imaging is increasingly used for comprehensive assessment of complex diseases...
Real-world data processing problems often involve various image modalities associated with a certain...
Multi-sequence MRI protocols are used in comprehensive examinations of various pathologies in both c...
Cross-modal image synthesis is a topical problem in medical image computing. Existing methods for im...
The high fidelity reconstruction of compressed and low-resolution magnetic resonance (MR) data is es...
Single image super-resolution is a long studied inverse problem, which aims to infer a high-resoluti...
In this thesis, our motivation is dedicated to studying the behaviors of different image representat...
The existence of completely aligned and paired multi-modal neuroimaging data has proved its effectiv...
Magnetic resonance (MR) imaging tasks often involve multiple contrasts, such as T1-weighted, T2-weig...
This thesis presents a new approach to single-image super-resolution (SR), based on sparse signal re...
Generating multi-contrasts/modal MRI of the same anatomy enriches diagnostic information but is limi...
Magnetic resonance (MR) imaging tasks often involve multiple contrasts, such as T1-weighted, T2-weig...
Cross-modality synthesis (CMS), super-resolution (SR), and their combination (CMSR) have been extens...
Multi-modality medical imaging is increasingly used for comprehensive assessment of complex diseases...
Multi-modality medical imaging is increasingly used for comprehensive assessment of complex diseases...
Multi-modality medical imaging is increasingly used for comprehensive assessment of complex diseases...
Real-world data processing problems often involve various image modalities associated with a certain...
Multi-sequence MRI protocols are used in comprehensive examinations of various pathologies in both c...
Cross-modal image synthesis is a topical problem in medical image computing. Existing methods for im...
The high fidelity reconstruction of compressed and low-resolution magnetic resonance (MR) data is es...
Single image super-resolution is a long studied inverse problem, which aims to infer a high-resoluti...
In this thesis, our motivation is dedicated to studying the behaviors of different image representat...
The existence of completely aligned and paired multi-modal neuroimaging data has proved its effectiv...
Magnetic resonance (MR) imaging tasks often involve multiple contrasts, such as T1-weighted, T2-weig...
This thesis presents a new approach to single-image super-resolution (SR), based on sparse signal re...
Generating multi-contrasts/modal MRI of the same anatomy enriches diagnostic information but is limi...
Magnetic resonance (MR) imaging tasks often involve multiple contrasts, such as T1-weighted, T2-weig...
Cross-modality synthesis (CMS), super-resolution (SR), and their combination (CMSR) have been extens...