[PDF] Top 20 Detection of Multiple Sclerosis Lesions using Sparse Representations and Dictionary Learning
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Detection of Multiple Sclerosis Lesions using Sparse Representations and Dictionary Learning
... semi-automatic and automatic segmentation of MS lesions have been ...methods and models have been tried, but they usu- ally suffer from high sensitivity to the imaging protocols and so ... Voir le document complet
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Adaptive Dictionary Learning For Competitive Classification Of Multiple Sclerosis Lesions
... ABSTRACT Sparse representations allow modeling data using a few basis elements of an over-complete dictionary and have been used in many image processing ...a sparse ... Voir le document complet
5
Anomaly detection in mixed telemetry data using a sparse representation and dictionary learning
... quality of the approximation y ≈ x strongly relies on the choice of the dictionary ...parametric and data-driven dictio- naries. Parametric dictionaries are composed of fixed atoms ... Voir le document complet
11
Classification of Multiple Sclerosis Lesions using Adaptive Dictionary Learning
... The dictionary learning and sparse coding is performed with the use of SPArse Modeling Software (SPAMS) package ...size of 5×5×5, the number of lesion patches for ... Voir le document complet
18
Denoising and fast diffusion imaging with physically constrained sparse dictionary learning
... acquisitions and obtain high resolution DSI ...amount of data and scanning time as ...exploration of the proposed technique, ...a dictionary learnt on healthy sub- ...dedicated ... Voir le document complet
35
Dictionary learning based sinogram inpainting for CT sparse reconstruction
... under-sampling, dictionary learning, ...exposure of patients has always been an important concern since the intro- duction of computed tomography (CT) ...from sparse sampled sinogram ... Voir le document complet
11
Astronomical Image Denoising Using Dictionary Learning
... Overview of sparsity in astronomy The wavelet transform (WT) has been extensively used in astro- nomical data analysis during the last ten years, and this holds for all astrophysical domains, from the study ... Voir le document complet
15
Multiple Sclerosis Lesions Evolution in Patients with Clinically Isolated Syndrome
... lesion and final patient clusters are ...algorithm using the output of the first layer as the input of the second, ...clustering and GMM 10 ...nature of the data has a ... Voir le document complet
9
Mid-level sparse representations for timbre identification: design of an instrument-specific harmonic dictionary
... approach(left), and based on decompositions on ISH atoms ...on sparse decompositions of the audio signal using instrument-specific harmonic atoms extracted from real ...performances of ... Voir le document complet
12
Learning brain regions via large-scale online structured sparse dictionary-learning
... splits of the data, CanICA [23] scores a meager ...one of the reviewers, one does not need spatial regularization if data are abundant (like in the ...computed learning curves of mean ... Voir le document complet
13
Integration of Probabilistic Atlas and Graph Cuts for Automated Segmentation of Multiple Sclerosis lesions
... weights using the spectral gradient 8 and the object and background weights as described ...GMM using tissue probability maps with a robust EM 9 , which optimizes a trimmed likelihood to be ... Voir le document complet
7
Robust Segmentation of Focal Lesions on Multi-Sequence MRI in Multiple Sclerosis
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet
153
Spatial distribution of multiple sclerosis lesions in the cervical spinal cord
... Generation of cord and lesion masks Cervical cord masks were automatically generated by identify- ing the cord centerline using OptiC (Gros et ...2017) and segmentation using PropSeg ... Voir le document complet
15
Learning an Adaptive Dictionary Structure for Efficient Image Sparse Coding
... values using the learned dictionaries ...DCT dictionary is clearly below the learned dictionaries in terms of quality of ...the learning of a branch in the tree is stopped after ... Voir le document complet
5
Dictionary Learning for a Sparse Appearance Model in Visual Tracking
... size of the dictionary is set to K = ...(without dictionary learning) and maximum, average or alignment pooling (proposed method) with dictionary learn- ...frames of the ... Voir le document complet
6
3D Sparse Representations
... implementation of the fast curvelets was proposed in [21, 75] with a public code distributed (including the 2-D version) in Curvelab, a C++/Matlab toolbox available at ...[76] and inpainting [77]. However, ... Voir le document complet
100
Enhanced representation & learning of magnetic resonance signatures in multiple sclerosis
... analysis of longitudinal Magnetic Resonance Images (MRI) of subjects taken at different time points provides a time varying analysis of the brain tissues which may lead to the discovery of new ... Voir le document complet
127
Trimmed-likelihood estimation for focal lesions and tissue segmentation in multisequence MRI for multiple sclerosis.
... MS lesions have been presented that can be classified in two categories: supervised or ...database of previously segmented images to learn the charac- teristics of MS lesions [11], [12], [13], ... Voir le document complet
14
Cardiac Motion Estimation with Dictionary Learning and Robust Sparse Coding in Ultrasound Imaging
... variety of medical imaging modalities used for motion analysis such as magnetic resonance imaging (MRI), computed tomography (CT), single-photon emission CT (SPECT), positron emission tomography (PET) or ultra- ... Voir le document complet
5
αβ T-cell receptors from multiple sclerosis brain lesions show MAIT cell–related features
... contain lesions with high numbers of CD8 1 T ...sections of MS brain, the following antibodies against cell surface molecules were used: mouse anti-human CD161 (1:5, 191B8, Miltenyi Biotec, Bergisch ... Voir le document complet
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