Jonathan Stoeckel

Medicine · Health Sciences

8h-index582citations28works0.02yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(8), Medical Image Segmentation Techniques(6), Lung Cancer Diagnosis and Treatment(6), AI in cancer detection(6), Image Retrieval and Classification Techniques(5)

Publications28 total

A CLINICAL CONUNDRUM: IS IT JUST DEMENTIA? IS IT A NEW STROKE? A BRIEF OVERVIEW OF NONCONVULSIVE STATUS EPILEPTICUS
CHEST Journal·2025
Towards Learning Spiculation Score of the Masses in Mammography Images
Lecture notes in computer science·2010
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-
Lecture notes in computer science·2010· 1 cited
Should CAD Be Used as a Second Reader? – Exploring Two Alternative Reading Modes for CAD in Screening Mammography
Lecture notes in computer science·2010· 1 cited
An approach to automatic detection of body parts and their size estimation from computed tomography image
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2009
Use of random process-based fractal measure for characterization nodules and suspicious regions in lung
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2008· 1 cited
A novel method of partitioning regions in lungs and their usage in feature extraction for reducing false positives
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2008
Multiple-Instance Learning Improves CAD Detection of Masses in Digital Mammography
Lecture notes in computer science·2008· 11 cited
Comparison of sensitivity and reading time for the use of computer-aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader
European Radiology·2007· 93 cited
SVM feature selection for classification of SPECT images of Alzheimer's disease using spatial information
Knowledge and Information Systems·2006· 150 cited
A fast algorithm for body extraction in CT volumes
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2006
Comparison of sensitivity and reading time for the use of computer aided detection (CAD) of pulmonary nodules at MDCT as concurrent or second reader
Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE·2006· 4 cited
SVM Feature Selection for Classification of SPECT Images of Alzheimer’s Disease Using Spatial Information
2006· 167 cited
Addressing Image Variability While Learning Classifiers for Detecting Clusters of Micro-calcifications
Lecture notes in computer science·2006· 2 cited
Clinical evaluation of a pulmonary nodule detection system
International Congress Series·2005
CAD performance analysis for pulmonary nodule detection on thin-slice MDCT scans
International Congress Series·2005· 5 cited
Computer-aided diagnosis: impact on nodule detection among community level radiologists. A multi-reader study
International Congress Series·2004· 9 cited
Automatic Classification of SPECT Images of Alzheimer’s Disease Patients and Control Subjects
Lecture notes in computer science·2004· 51 citedOpen Access
A spatio-temporal model-based statistical approach to detect evolving multiple sclerosis lesions
2002· 12 cited
An evaluation of ridge extraction methods for portal imaging
2002· 8 cited
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Frequent Co-authors

Nicholas Ayache(9), Grégoire Malandain(8), Jacques Darcourt(6), Glenn Fung(4), Eli Ratner(4), Jean‐Baptiste Poline(3), Matthias Wolf(3), Arun V. Krishnan(3), Mausumi Acharyya(3), Florian Beyer(2), L. Zierott(2), Eva Maria Fallenberg(2), Kai Uwe Juergens(2), Walter Heindel(2), Dag Wormanns(2), Pierre Malick Koulibaly(2), Octave Migneco(2), David Rey(2), Balaji Krishnapuram(2), Peter Bamberger(2)