Brief review of image denoising techniques
L Fan, F Zhang, H Fan, C Zhang - Visual Computing for Industry …, 2019 - Springer
With the explosion in the number of digital images taken every day, the demand for more
accurate and visually pleasing images is increasing. However, the images captured by …
accurate and visually pleasing images is increasing. However, the images captured by …
Deep learning for brain MRI segmentation: state of the art and future directions
Quantitative analysis of brain MRI is routine for many neurological diseases and conditions
and relies on accurate segmentation of structures of interest. Deep learning-based …
and relies on accurate segmentation of structures of interest. Deep learning-based …
Image denoising review: From classical to state-of-the-art approaches
At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …
Deep gaussian scale mixture prior for spectral compressive imaging
In coded aperture snapshot spectral imaging (CASSI) system, the real-world hyperspectral
image (HSI) can be reconstructed from the captured compressive image in a snapshot …
image (HSI) can be reconstructed from the captured compressive image in a snapshot …
Deep learning for image enhancement and correction in magnetic resonance imaging—state-of-the-art and challenges
Magnetic resonance imaging (MRI) provides excellent soft-tissue contrast for clinical
diagnoses and research which underpin many recent breakthroughs in medicine and …
diagnoses and research which underpin many recent breakthroughs in medicine and …
volBrain: an online MRI brain volumetry system
The amount of medical image data produced in clinical and research settings is rapidly
growing resulting in vast amount of data to analyze. Automatic and reliable quantitative …
growing resulting in vast amount of data to analyze. Automatic and reliable quantitative …
MRI segmentation and classification of human brain using deep learning for diagnosis of Alzheimer's disease: a survey
N Yamanakkanavar, JY Choi, B Lee - Sensors, 2020 - mdpi.com
Many neurological diseases and delineating pathological regions have been analyzed, and
the anatomical structure of the brain researched with the aid of magnetic resonance imaging …
the anatomical structure of the brain researched with the aid of magnetic resonance imaging …
Bassoon contributes to tau-seed propagation and neurotoxicity
Tau aggregation is a defining histopathological feature of Alzheimer's disease and other
tauopathies. However, the cellular mechanisms involved in tau propagation remain unclear …
tauopathies. However, the cellular mechanisms involved in tau propagation remain unclear …
Cortical thickness and central surface estimation
Several properties of the human brain cortex, eg, cortical thickness and gyrification, have
been found to correlate with the progress of neuropsychiatric disorders. The relationship …
been found to correlate with the progress of neuropsychiatric disorders. The relationship …
Nonlocal transform-domain filter for volumetric data denoising and reconstruction
M Maggioni, V Katkovnik… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
We present an extension of the BM3D filter to volumetric data. The proposed algorithm,
BM4D, implements the grouping and collaborative filtering paradigm, where mutually similar …
BM4D, implements the grouping and collaborative filtering paradigm, where mutually similar …