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Jonathan Stoeckel

SVM Feature Selection for Classification of SPECT Images of Alzheimer’s Disease Using Spatial Information
2006 · J. Stoeckel, G. Fung · Proceedings · 166
SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information
2006 · Glenn Fung, Jonathan Stoeckel · Knowledge and Information Systems · 153
Comparison of sensitivity and reading time for the use of computer-aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader
2007 · F. Beyer, L. Zierott, et al. · European Radiology · 94
Automatic Classification of SPECT Images of Alzheimer’s Disease Patients and Control Subjects
2004 · Jonathan Stoeckel, Nicholas Ayache, et al. · Lecture notes in computer science · 53
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Classification of SPECT Images of Normal Subjects versus Images of Alzheimer’s Disease Patients
2001 · Jonathan Stoeckel, Grégoire Malandain, et al. · Lecture notes in computer science · 47
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A New Method for Spherical Object Detection and Its Application to Computer Aided Detection of Pulmonary Nodules in CT Images
2007 · Xiangwei Zhang, Jonathan Stockel, et al. · Springer eBooks · 13
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Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography
2008 · Balaji Krishnapuram, Jonathan Stoeckel, et al. · Lecture notes in computer science · 12
A spatio-temporal model-based statistical approach to detect evolving multiple sclerosis lesions
2002 · D. Rey, J. Stoeckel, et al. · IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA) · 12
Computer-aided diagnosis: impact on nodule detection among community level radiologists. A multi-reader study
2004 · David P Naidich, Jane P Ko, et al. · International Congress Series · 9
An evaluation of ridge extraction methods for portal imaging
2002 · J. Stoeckel, F.M. Vos, et al. · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 8
Using SPM to Detect Evolving MS Lesions
2001 · David Rey, Jonathan Stoeckel, et al. · Lecture notes in computer science · 7
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Smoothness and degrees of freedom restrictions when using SPM99
2001 · Jonathan Stoeckel, Jean-Baptiste Poline, et al. · NeuroImage · 6
CAD performance analysis for pulmonary nodule detection on thin-slice MDCT scans
2005 · Matthias Wolf, Arun Krishnan, et al. · International Congress Series · 5
Smoothness and degrees of freedom restrictions when using SPM 99
2001 · Jonathan Stoeckel, Jean‐Baptiste Poline, et al. · HAL · 5
Comparison of sensitivity and reading time for the use of computer aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader
2006 · F. Beyer, L. Zierott, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 4
Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications
2006 · Glenn Fung, Balaji Krishnapuram, et al. · Lecture notes in computer science · 2
Evaluation of an Automatic System for Simulator/Portal Image Matching
2000 · F. M. Vos, J. Stoeckel, et al. · Lecture notes in computer science · 2
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How Can Image Quality Affect the Detection Performance of Breast CAD (Computer Aided Detection) in FFDM (Full Field Digital Mammography)? – A Comparative Study with Two Different FFDM Systems-
2010 · Nachiko Uchiyama, Jonathan Stoeckel, et al. · Lecture notes in computer science · 1
Should CAD Be Used as a Second Reader? – Exploring Two Alternative Reading Modes for CAD in Screening Mammography
2010 · Richard Lederman, Isaac Leichter, et al. · Lecture notes in computer science · 1
Use of random process-based fractal measure for characterization nodules and suspicious regions in lung
2008 · Mausumi Acharyya, Sumit Chakravarty, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1
Towards Learning Spiculation Score of the Masses in Mammography Images
2010 · Inna Stainvas, Jonathan Stoeckel, et al. · Lecture notes in computer science
An approach to automatic detection of body parts and their size estimation from computed tomography image
2009 · Mausumi Acharyya, Jonathan Stoeckel, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
A novel method of partitioning regions in lungs and their usage in feature extraction for reducing false positives
2008 · Mausumi Acharyya, Dinesh M. Siddu, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Computerized detection of pulmonary nodules using a combination of 3D global and local shape information based on helical CT images
2006 · Xiangwei Zhang, Jonathan Stockel, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
A fast algorithm for body extraction in CT volumes
2006 · Grégoire Guétat, Jonathan Stoeckel, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE
Works count: 33
Citation count: 601
H-index: 9
I10-index: 8
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