Szilagyi, L.[Laszlo]
* 2007: Adaptive ECG Compression Using Support Vector Machine
* 2007: Echocardiographic Image Sequence Compression Based on Spatial Active Appearance Model
* 2007: Efficient Feature Extraction for Fast Segmentation of MR Brain Images
* 2007: Modified Fuzzy C-Means Algorithm for MR Brain Image Segmentation, A
* 2007: Spatial Visualization of the Heart in Case of Ectopic Beats and Fibrillation
* 2007: Unified Neural Network Based Pathologic Event Reconstruction Using Spatial Heart Model
* 2007: Volumetric Analysis of the Heart Using Echocardiography
* 2008: Enhanced Accessory Pathway Localization Method for Efficient Treatment of Wolff-Parkinson-White Syndrome, An
* 2008: GeCiM: A Novel Generalized Approach to C-Means Clustering
* 2008: Thorough Analysis of the Suppressed Fuzzy C-Means Algorithm, A
* 2011: Efficient 3D Curve Skeleton Extraction from Large Objects
* 2011: Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models, An
* 2011: Identification of the Root Canal from Dental Micro-CT Records
* 2013: Study of Electric and Mechanic Properties of the Implanted Artificial Cardiac Tissue Using a Whole Heart Model
* 2014: Lessons to learn from a mistaken optimization
* 2017: Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach
* 2017: Biometric System Based on Registration of Dorsal Hand Vein Configurations
* 2017: Possibilistic c-means Clustering Model with Cluster Size Estimation, A
Includes: Szilagyi, L.[Laszlo] Szilágyi, L.[László]
18 for Szilagyi, L.
Szilagyi, M.[Miklos]
* 2017: Automatic Brain Tumor Segmentation in Multispectral MRI Volumes Using a Random Forest Approach
Includes: Szilagyi, M.[Miklos] Szilágyi, M.[Miklós]
Szilagyi, S.M.[Sandor M.]
* 2007: Adaptive ECG Compression Using Support Vector Machine
* 2007: Echocardiographic Image Sequence Compression Based on Spatial Active Appearance Model
* 2007: Efficient Feature Extraction for Fast Segmentation of MR Brain Images
* 2007: Modified Fuzzy C-Means Algorithm for MR Brain Image Segmentation, A
* 2007: Spatial Visualization of the Heart in Case of Ectopic Beats and Fibrillation
* 2007: Unified Neural Network Based Pathologic Event Reconstruction Using Spatial Heart Model
* 2007: Volumetric Analysis of the Heart Using Echocardiography
* 2008: Enhanced Accessory Pathway Localization Method for Efficient Treatment of Wolff-Parkinson-White Syndrome, An
* 2008: GeCiM: A Novel Generalized Approach to C-Means Clustering
* 2008: Thorough Analysis of the Suppressed Fuzzy C-Means Algorithm, A
* 2011: Efficient 3D Curve Skeleton Extraction from Large Objects
* 2011: Efficient Approach to Intensity Inhomogeneity Compensation Using c-Means Clustering Models, An
* 2013: Study of Electric and Mechanic Properties of the Implanted Artificial Cardiac Tissue Using a Whole Heart Model
* 2017: Possibilistic c-means Clustering Model with Cluster Size Estimation, A
Includes: Szilagyi, S.M.[Sandor M.] Szilágyi, S.M.[Sándor M.] Szilágyi, S.M.[Sándor Miklós] Szilágyi, S.M.[Sándor Miklos]
14 for Szilagyi, S.M.
Szilagyi, T.[Tunde]
* 2012: Automatic segmentation of adherent biological cell boundaries and nuclei from brightfield microscopy images
* 2012: On the Use of Low-Pass Filters for Image Processing with Inverse Laplacian Models
Includes: Szilagyi, T.[Tunde] Szilágyi, T.[Tünde]
Szilassi, P.[Peter]
* 2020: Improvement in Satellite Image-Based Land Cover Classification with Landscape Metrics
Includes: Szilassi, P.[Peter] Szilassi, P.[Péter]
Szilo, J.[Joanna]
* 2017: Recent Deceleration of the Ice Elevation Change of Ecology Glacier (King George Island, Antarctica)