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A review of heart chamber segmentation for structural and functional analysis using cardiac magnetic resonance imaging
Cardiovascular magnetic resonance (CMR) has become a key imaging modality in clinical
cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac …
cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac …
Alzheimer's disease diagnostics by adaptation of 3D convolutional network
Early diagnosis, playing an important role in preventing progress and treating the
Alzheimer's disease (AD), is based on classification of features extracted from brain images …
Alzheimer's disease (AD), is based on classification of features extracted from brain images …
[HTML][HTML] Towards non-invasive diagnostic techniques for early detection of acute renal transplant rejection: A review
The kidney is a very important complicated filtering organ of the body. When the kidney
reaches stage 5 chronic kidney disease, end stage renal failure, the preeminent therapy is …
reaches stage 5 chronic kidney disease, end stage renal failure, the preeminent therapy is …
A computer‐aided diagnostic system for detecting diabetic retinopathy in optical coherence tomography images
Purpose Detection (diagnosis) of diabetic retinopathy (DR) in optical coherence tomography
(OCT) images for patients with type 2 diabetes, but almost clinically normal retina …
(OCT) images for patients with type 2 diabetes, but almost clinically normal retina …
Precise higher-order reflectivity and morphology models for early diagnosis of diabetic retinopathy using OCT images
This study proposes a novel computer assisted diagnostic (CAD) system for early diagnosis
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …
of diabetic retinopathy (DR) using optical coherence tomography (OCT) B-scans. The CAD …
A clinically explainable AI-based grading system for age-related macular degeneration using optical coherence tomography
We propose an automated, explainable artificial intelligence (xAI) system for age-related
macular degeneration (AMD) diagnosis. Mimicking the physician's perceptions, the …
macular degeneration (AMD) diagnosis. Mimicking the physician's perceptions, the …
Dynamic contrast-enhanced MRI-based early detection of acute renal transplant rejection
A novel framework for the classification of acute rejection versus nonrejection status of renal
transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging is proposed …
transplants from 2-D dynamic contrast-enhanced magnetic resonance imaging is proposed …
[KNIHA][B] Big data in multimodal medical imaging
There is an urgent need to develop and integrate new statistical, mathematical, visualization,
and computational models with the ability to analyze Big Data in order to retrieve useful …
and computational models with the ability to analyze Big Data in order to retrieve useful …
Myocardial borders segmentation from cine MR images using bidirectional coupled parametric deformable models
Purpose: The authors propose 3D (2D+ time) novel, fast, robust, bidirectional coupled
parametric deformable models that are capable of segmenting left ventricle (LV) wall …
parametric deformable models that are capable of segmenting left ventricle (LV) wall …
An iso-surfaces based local deformation handling framework of lung tissues
Handling the deformations of the lung tissues in successive chest computed tomography
(CT) scans of a patient is a vital step in any computer-aided diagnostic (CAD) system for …
(CT) scans of a patient is a vital step in any computer-aided diagnostic (CAD) system for …