| _ | sclera | _ |
|---|
| Colour balancing using | sclera | colour |
| comprehensive | sclera | image quality measure, A |
| efficient deep | sclera | recognition framework with novel sclera segmentation, vessel extraction and gaze detection, An |
| efficient deep | sclera | recognition framework with novel sclera segmentation, vessel extraction and gaze detection, An |
| Fusion of iris and | sclera | using phase intensive rubbersheet mutual exclusion for periocular recognition |
| Human eye | sclera | detection and tracking using a modified time-adaptive self-organizing map |
| improved | sclera | recognition using kernel entropy component analysis method, An |
| investigation into automated age estimation using | sclera | images: a novel modality, An |
| Less-constrained | sclera | Recognition Method based on Stem-and-leaf Branches Network, A |
| Making a photomap of the human eye based on the spherical shape of its | sclera | and the circular contour of its iris |
| New Human Identification Method: | sclera | Recognition, A |
| Presentation Attack Detection for | sclera | Biometric Applications |
| Robust | sclera | Recognition System With Novel Sclera Segmentation and Validation Techniques |
| Robust | sclera | Recognition System With Novel Sclera Segmentation and Validation Techniques |
| sclera | Recognition: A Survey |
| sclera | recognition: on the quality measure and segmentation of degraded images captured under relaxed imaging conditions |
| sclera | Segmentation in Face Images Using Image Foresting Transform |
| sclera | Vessel Analysis for Biometric System on Real Time Security Application |
| Skin Color Detection through Estimation and Conversion of Illuminant Color using | sclera | Region of Eye under Varying Illumination |
| Unsupervised Approach for Eye | sclera | Segmentation, An |
| Using iris and | sclera | for detection and classification of contact lenses |
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| _ | sclerosis | _ |
|---|
| Adaptive Semi-automated Integrated System for Multiple | sclerosis | Lesion Segmentation in Longitudinal MRI Scans Based on a Convolutional Neural Network, An |
| AM-FM texture image analysis in brain white matter lesions in the progression of Multiple | sclerosis | |
| Automated segmentation of multiple | sclerosis | lesion in intensity enhanced flair MRI using texture features and support vector machine |
| Automated segmentation of multiple | sclerosis | lesions by model outlier detection |
| Automatic Detection of Amyotrophic Lateral | sclerosis | (ALS) from Video-Based Analysis of Facial Movements: Speech and Non-Speech Tasks |
| Automatic Detection of Gadolinium-Enhancing Multiple | sclerosis | Lesions in Brain MRI Using Conditional Random Fields |
| Automatic detection of multiple | sclerosis | lesions using Mask R-CNN on magnetic resonance scans |
| Automatic Framework for Multiple | sclerosis | Follow-up by Magnetic Resonance Imaging for Reducing Contrast Agents |
| Automatic Multiple | sclerosis | detection based on integrated square estimation |
| Automatic pipeline analysis of 3-D MRI data for clinical trials: application to multiple | sclerosis | |
| Brain MRI Image Segmentation in View of Tumor Detection: Application to Multiple | sclerosis | |
| Classification of disease subgroup and correlation with disease severity using magnetic resonance imaging whole-brain histograms: application to magnetization transfer ratios and multiple | sclerosis | |
| Comparative Study of Explainable Ai models in the Assessment of Multiple | sclerosis | , A |
| Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple | sclerosis | Lesion Segmentation |
| Deep Learning of Image Features from Unlabeled Data for Multiple | sclerosis | Lesion Segmentation |
| Encoding Brain Networks Through Geodesic Clustering of Functional Connectivity for Multiple | sclerosis | Classification |
| Explainable 3D-CNN for Multiple | sclerosis | Patients Stratification |
| High-Dimensional Spatial Normalization of Diffusion Tensor Images Improves the Detection of White Matter Differences: An Example Study Using Amyotrophic Lateral | sclerosis | |
| High-Resolution Acoustic-Radiation-Force-Impulse Imaging for Assessing Corneal | sclerosis | |
| Improved algorithm for multiple | sclerosis | diagnosis in MRI using convolutional neural network |
| Improved multiple | sclerosis | diagnosis with advanced deep learning techniques |
| Improving Multiple | sclerosis | Lesion Boundaries Segmentation by Convolutional Neural Networks with Focal Learning |
| Incorporating Domain Knowledge Into the Fuzzy Connectedness Framework: Application to Brain Lesion Volume Estimation in Multiple | sclerosis | |
| Integrated Segmentation and Classification Approach Applied to Multiple | sclerosis | Analysis, An |
| Joint Histogram Modelling for Segmentation Multiple | sclerosis | Lesions |
| Longitudinal Patch-Based Segmentation of Multiple | sclerosis | White Matter Lesions |
| Markovian segmentation of 3D brain MRI to detect Multiple | sclerosis | lesions |
| Model of Population and Subject (MOPS) Intensities With Application to Multiple | sclerosis | Lesion Segmentation, A |
| MRI-Based Radiomics Analysis for Identification of Features Correlated with the Expanded Disability Status Scale of Multiple | sclerosis | Patients |
| Multi-atlas Based Segmentation of Corpus Callosum on MRIs of Multiple | sclerosis | Patients |
| Multiple | sclerosis | Detection and Analysis |
| Multiple | sclerosis | identification in brain MRI images using wavelet convolutional neural networks |
| Multiple | sclerosis | lesion quantification using fuzzy-connectedness principles |
| novel multi-atlas and multi-channel (MAMC) approach for multiple | sclerosis | lesion segmentation in brain MRI, A |
| Rule Extraction in the Assessment of Brain MRI Lesions in Multiple | sclerosis | : Preliminary Findings |
| Segmentation for Multiple | sclerosis | Lesions Based on 3D Volume Enhancement and 3D Alpha Matting |
| Segmentation method of multiple | sclerosis | lesions based on 3D-CNN networks |
| Segmentation of multiple | sclerosis | lesions from mr brain images using the principles of fuzzy-connectedness and artificial neuron networks |
| Segmentation of multiple | sclerosis | lesions in intensity corrected multispectral MRI |
| Segmenting Multiple | sclerosis | Lesions Using a Spatially Constrained K-Nearest Neighbour Approach |
| Spatial dispersion of lesions as a surrogate biomarker for disability in multiple | sclerosis | |
| Spatio-Temporal Model-Based Statistical Approach to Detect Evolving Multiple | sclerosis | Lesions, A |
| Spinal cord MRI contrast enhancement using adaptive gamma correction for patient with multiple | sclerosis | |
| Supervised Approach for Multiple | sclerosis | Lesion Segmentation Using Context Features and an Outlier Map, A |
| System for estimating | sclerosis | of in vivo arteries based on ultrasound B-mode image analysis |
| Temporal Hierarchical Adaptive Texture CRF for Automatic Detection of Gadolinium-Enhancing Multiple | sclerosis | Lesions in Brain MRI |
| Temporally Consistent Probabilistic Detection of New Multiple | sclerosis | Lesions in Brain MRI |
| Tensor Factorization of Brain Structural Graph for Unsupervised Classification in Multiple | sclerosis | |
| Three-Dimensional Reconstruction Integrated System for Brain Multiple | sclerosis | Lesions, A |
| Toward more accurate diagnosis of multiple | sclerosis | : Automated lesion segmentation in brain magnetic resonance image using modified U-Net model |
| Trimmed-Likelihood Estimation for Focal Lesions and Tissue Segmentation in Multisequence MRI for Multiple | sclerosis | |
| Two channels fuzzy c-means detection of multiple | sclerosis | lesions in multispectral MR images |
52 for sclerosis