His main research concerns Image registration, Artificial intelligence, Computer vision, Segmentation and Magnetic resonance imaging. His biological study spans a wide range of topics, including Stochastic gradient descent, Medical imaging, Image processing, Medical physics and Software. Stefan Klein has included themes like Machine learning and Pattern recognition in his Artificial intelligence study.
His Computer vision study integrates concerns from other disciplines, such as Interface and Diffusion MRI. His Segmentation study combines topics in areas such as White matter and Neuroimaging. His study in Magnetic resonance imaging is interdisciplinary in nature, drawing from both Nuclear medicine, Pathology, Region of interest, Cartilage and Cerebral blood flow.
Stefan Klein focuses on Artificial intelligence, Image registration, Computer vision, Magnetic resonance imaging and Segmentation. His Artificial intelligence research is multidisciplinary, relying on both Machine learning and Pattern recognition. His work carried out in the field of Image registration brings together such families of science as Stochastic gradient descent, Medical imaging, Image processing, Algorithm and Principal component analysis.
He has researched Computer vision in several fields, including Gradient descent, Carotid arteries and Ultrasound. He focuses mostly in the field of Magnetic resonance imaging, narrowing it down to topics relating to Nuclear medicine and, in certain cases, Reproducibility. His Segmentation study incorporates themes from Ground truth, Convolutional neural network and Atlas.
Stefan Klein mainly focuses on Artificial intelligence, Segmentation, Pattern recognition, Radiomics and Machine learning. His research in Artificial intelligence intersects with topics in Consistency, Neuroimaging and Computer vision. His research in Computer vision tackles topics such as Mean squared error which are related to areas like Imaging phantom.
His work deals with themes such as Differential diagnosis, Biopsy, Computed tomography and Reproducibility, which intersect with Radiomics. His work in Deep learning addresses subjects such as Affine transformation, which are connected to disciplines such as Ground truth, 3D ultrasound and Image registration. He interconnects Robustness, Knee Joint, Radiography and Medical imaging in the investigation of issues within Magnetic resonance imaging.
His primary scientific interests are in Artificial intelligence, Neuroimaging, Machine learning, Pattern recognition and Segmentation. The study incorporates disciplines such as External validation, Computer vision and Treatment response in addition to Artificial intelligence. The Pattern recognition study combines topics in areas such as Ground truth and Magnetic resonance imaging.
His studies deal with areas such as Image segmentation and Data curation as well as Magnetic resonance imaging. Stefan Klein combines subjects such as 3D ultrasound, Deep learning and Atlas with his study of Segmentation. He performs integrative study on Image registration and Continuous registration.
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elastix : A Toolbox for Intensity-Based Medical Image Registration
S. Klein;M. Staring;K. Murphy;M.A. Viergever.
IEEE Transactions on Medical Imaging (2010)
Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines
S. Klein;M. Staring;J.P.W. Pluim.
IEEE Transactions on Image Processing (2007)
Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information.
Stefan Klein;Uulke A. van der Heide;Irene M. Lips;Marco van Vulpen.
Medical Physics (2008)
Adaptive Stochastic Gradient Descent Optimisation for Image Registration
Stefan Klein;Josien P. Pluim;Marius Staring;Max A. Viergever.
International Journal of Computer Vision (2009)
Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
K. Murphy;B. van Ginneken;J. M. Reinhardt;S. Kabus.
IEEE Transactions on Medical Imaging (2011)
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease.
Denis P Shamonin;Esther E Bron;Boudewijn P.F. Lelieveldt;Marion Smits.
Frontiers in Neuroinformatics (2013)
Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challenge
Esther E. Bron;Marion Smits;Wiesje M. van der Flier;Hugo Vrenken.
First supermodule of the MACRO detector at Gran Sasso
S. Ahlen;M. Ambrosio;R. Antolini;G. Auriemma.
Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment (1993)
A survey of medical image registration - under review
Max A. Viergever;J.B. Antoine Maintz;Stefan Klein;Keelin Murphy.
Medical Image Analysis (2016)
Nonrigid registration of dynamic medical imaging data using nD + t B-splines and a groupwise optimization approach.
C.T. Metz;S. Klein;M. Schaap;T. van Walsum.
Medical Image Analysis (2011)
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