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Rheumatology, ISSN 1462-0324, 2/2010, Volume 49, Issue 2, pp. 271 - 280
Journal Article
CLINICAL AND EXPERIMENTAL RHEUMATOLOGY, ISSN 0392-856X, 03/2012, Volume 30, Issue 2, pp. S17 - S22
Journal Article
Journal Article
Journal Article
Seminars in Arthritis and Rheumatism, ISSN 0049-0172, 2010, Volume 40, Issue 2, pp. 127 - 136
Journal Article
Medical Physics, ISSN 0094-2405, 08/2015, Volume 42, Issue 8, pp. 4511 - 4525
Purpose: Primary goal of this study is to select optimal registration schemes in the framework of interstitial lung disease (ILD) follow‐up analysis in CT.... 
Finite‐difference methods | Error analysis | image registration | smoothing methods | Stochastic processes | finite difference methods | Matrix theory | Jacobian matrices | Digital computing or data processing equipment or methods, specially adapted for specific applications | optimisation | Computed tomography | Numerical optimization | interstitial lung disease | Registration | Computerised tomographs | feature selection | medical image processing | Data analysis | Medical imaging | Statistical analysis | artificially warped data | diseases | lung CT registration | Biological material, e.g. blood, urine; Haemocytometers | quantitative image registration metrics | lung | clinical follow‐up CT data | computerised tomography | Lungs | Image data processing or generation, in general | Gaussian processes | rigid and nonrigid image registration | evaluation of registration accuracy | Determinants | Jacobians | clinical follow-up CT data | QUANTIFICATION | CLASSIFICATION | MUTUAL-INFORMATION | SYSTEMIC-SCLEROSIS | HIGH-RESOLUTION CT | PRESERVING NONRIGID REGISTRATION | CONSTRUCTION | CUBIC B-SPLINE | OPTIMIZATION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | DEFORMABLE IMAGE REGISTRATION | Lung Diseases, Interstitial - diagnostic imaging | Datasets as Topic | Follow-Up Studies | Humans | Imaging, Three-Dimensional - methods | Tomography, X-Ray Computed - methods | Radiography, Thoracic - methods | Lung - diagnostic imaging | IMAGE PROCESSING | ERRORS | STOCHASTIC PROCESSES | PERFORMANCE | RADIATION PROTECTION AND DOSIMETRY | LUNGS | RESPIRATORY SYSTEM DISEASES | EVALUATION | 60 APPLIED LIFE SCIENCES | COMPUTERIZED TOMOGRAPHY | ACCURACY
Journal Article
Journal of Ultrasound in Medicine, ISSN 0278-4297, 01/2019, Volume 38, Issue 1, pp. 223 - 232
Objective To investigate the role of strain elastography using calculated strain ratio and visual elastography score in differentiating nonneoplastic, benign,... 
strain ratio | elastography | testicular neoplasm | DIAGNOSIS | ULTRASOUND ELASTOGRAPHY | CONTRAST-ENHANCED SONOGRAPHY | TESTICULAR-TUMORS | DOPPLER | FEATURES | REAL-TIME ELASTOGRAPHY | ACOUSTICS | BENIGN | TESTIS | ULTRASONOGRAPHY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Journal Article
Journal of cell science, ISSN 0021-9533, 06/2019, Volume 132, Issue 11, p. jcs228684
A distinct combination of transcription factors elicits the acquisition of a specific fate and the initiation of a differentiation program. Multiciliated cells... 
GemC1 | Multiciliated cells | Lynkeas | GMNC | Epigenetic regulation | Multiciliogenesis | Transcriptional regulation | GEMININ | CELLS | PROTEIN | IDAS | CELL BIOLOGY | DIFFERENTIATION | EXPRESSION
Journal Article
Medical Physics, ISSN 0094-2405, 12/2008, Volume 35, Issue 12, pp. 5290 - 5302
Accurate and automated lung field (LF) segmentation in high-resolution computed tomography (HRCT) is highly challenged by the presence of pathologies affecting... 
lung segmentation | support vector machine | high-resolution computed tomography | texture | interstitial pneumonia | Cluster analysis | Segmentation | image classification | wavelet transforms | Pneumodyamics, respiration | Computed tomography | high‐resolution computed tomography | image segmentation | Computer aided diagnosis | image resolution | medical image processing | Medical imaging | Medical image segmentation | Radiologists | Muscles | Computer‐aided diagnosis | image texture | Diseases | lung | Wavelets | Pathology | computerised tomography | pattern clustering | Lungs | statistical analysis | Spatial resolution | Lung segmentation | Support vector machine | Interstitial pneumonia | High-resolution computed tomography | Texture | TOMOGRAPHY | FIBROSIS | QUANTIFICATION | WAVELET | diseases | ALGORITHMS | NODULES | GROUND-GLASS | DISEASE | COMPUTER-AIDED DIAGNOSIS | CHEST RADIOGRAPHY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Lung - pathology | Reproducibility of Results | Humans | Tomography, X-Ray Computed - methods | Lung Neoplasms - pathology | Lung - diagnostic imaging | Models, Statistical | Lung Diseases, Interstitial - diagnostic imaging | Lung Diseases, Interstitial - diagnosis | Algorithms | Image Processing, Computer-Assisted | Diagnosis, Computer-Assisted - methods | Signal Processing, Computer-Assisted | Lung Neoplasms - diagnostic imaging | Lung Neoplasms - diagnosis | Observer Variation | Automatic Data Processing | Cluster Analysis
Journal Article