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Michael Suehling

Observed names: M SUEHLING, M Suehling, M. Suehling, Suehling, Michael
OpenAlex ID: A5074051310
Hierarchical, learning-based automatic liver segmentation
2008 · Haibin Ling, S. Kevin Zhou, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 140
Hierarchical parsing and semantic navigation of full body CT data
2009 · Sascha Seifert, Adrian Barbu, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 138
Patient-specific modelling of whole heart anatomy, dynamics and haemodynamics from four-dimensional cardiac CT images
2011 · Viorel Mihalef, Razvan Ioan Ionasec, et al. · Interface Focus · 123
Spine detection in CT and MR using iterated marginal space learning
2012 · B. Michael Kelm, Michael Wels, et al. · Medical Image Analysis · 118
Automatic Detection and Segmentation of Lymph Nodes From CT Data
2011 · A. Barbu, M. Suehling, et al. · IEEE Transactions on Medical Imaging · 93
Automatic Hepatic Vessel Segmentation Using Graphics Hardware
2008 · Marius Erdt, Matthias Raspe, et al. · Lecture notes in computer science · 67
Automatic detection of lytic and blastic thoracolumbar spine metastases on computed tomography
2013 · Matthias Hammon, Peter Dankerl, et al. · European Radiology · 59
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Artificial Intelligence in Diagnostic Imaging
2020 · Puneet Sharma, Michael Suehling, et al. · Journal of Thoracic Imaging · 57
General purpose radiomics for multi-modal clinical research
2019 · Michael G. Wels, Félix Lades, et al. · SPIE Medical Imaging: Computer-Aided Diagnosis · 44
Automatic Detection and Segmentation of Axillary Lymph Nodes
2010 · Adrian Barbu, Michael Suehling, et al. · Lecture notes in computer science · 43
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Detection of 3D Spinal Geometry Using Iterated Marginal Space Learning
2011 · B. Michael Kelm, S. Kevin Zhou, et al. · Lecture notes in computer science · 41
Semi-Automated Quantification of Hepatic Lesions in a Phantom
2009 · Sebastian Keil, Cedric Plumhans, et al. · Investigative Radiology · 37
A Retrieval-Based Computer-Aided Diagnosis System for the Characterization of Liver Lesions in CT Scans
2013 · Peter Dankerl, Alexander Cavallaro, et al. · Academic Radiology · 32
Fast and robust 3D vertebra segmentation using statistical shape models
2013 · Hengameh Mirzaalian, Michael Wels, et al. · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · 28
ADR - Anatomy-Driven Reformation
2014 · Jan Kretschmer, Grzegorz Soza, et al. · IEEE Transactions on Visualization and Computer Graphics · 19
Automated measurement of lymph nodes: a phantom study
2008 · Sebastian Keil, Cedric Plumhans, et al. · European Radiology · 17
RECIST and WHO Criteria Evaluation of Cervical, Thoracic and Abdominal Lymph Nodes in Patients with Malignant Lymphoma: Manual versus Semi-Automated Measurement on Standard MDCT Slices
2009 · S. Keil, F. Behrendt, et al. · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren · 13
Personalized learning-based segmentation of thoracic aorta and main branches for diagnosis and treatment planning
2012 · Dime Vitanovski, Kristof Ralovich, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 12
On Simulating Subjective Evaluation Using Combined Objective Metrics for Validation of 3D Tumor Segmentation
2007 · Xiang Deng, Lei Zhu, et al. · Lecture notes in computer science · 11
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Predicting Lesion Growth and Patient Survival in Colorectal Cancer Patients using Deep Neural Networks
2018 · Alexander Katzmann, Alexander Muehlberg, et al. · 9
Einfluss des Vaskularisationsgrades auf die automatische Segmentierung und Messung von Lebertumoren nach RECIST in einer biphasischen Multi-Slice-CT (MSCT)
2008 · M Puesken, K Juergens, et al. · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren · 9
Automatic detection of liver lesion from 3D computed tomography images
2012 · Dijia Wu, David Liu, et al. · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · 7
Deep Random Forests for Small Sample Size Prediction with Medical Imaging Data
2020 · Alexander Katzmann, Alexander Muehlberg, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 6
Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding
2017 · Martinke, Hannes, Petry, Christian, et al. · Eurographics · 5
Inner and outer coronary vessel wall segmentation from CCTA using an active contour model with machine learning-based 3D voxel context-aware image force
2016 · Udhayaraj Sivalingam, Michael Wels, et al. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 4
Works count: 40
Citation count: 1,142
H-index: 16
I10-index: 19
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