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Michael Suehling

Showing results (1-10 of 13) with videos related to

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Journal of Thoracic Imaging|March 25, 2020
Artificial Intelligence in Diagnostic Imaging: Status Quo, Challenges, and Future OpportunitiesPuneet Sharma, Michael Suehling, Thomas Flohr, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Fast and robust 3D vertebra segmentation using statistical shape modelsHengameh Mirzaalian, Michael Wels, Tobias Heimann, et al.
IEEE Transactions on Visualization and Computer Graphics|September 11, 2015
ADR--Anatomy-Driven ReformationJan Kretschmer, Grzegorz Soza, Christian Tietjen, et al.
IEEE Transactions on Medical Imaging|October 5, 2011
Automatic detection and segmentation of lymph nodes from CT dataAdrian Barbu, Michael Suehling, Xun Xu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Automatic detection and segmentation of axillary lymph nodesAdrian Barbu, Michael Suehling, Xun Xu, et al.
Interface Focus|June 7, 2012
Patient-specific modelling of whole heart anatomy, dynamics and haemodynamics from four-dimensional cardiac CT imagesViorel Mihalef, Razvan Ioan Ionasec, Puneet Sharma, et al.
Diagnostics (Basel, Switzerland)|April 13, 2024
Development and Validation of a Deep-Learning-Based Algorithm for Detecting and Classifying Metallic Implants in Abdominal and Spinal CT TopogramsMoon-Hyung Choi, Joon-Yong Jung, Zhigang Peng, et al.
Academic Radiology|November 9, 2013
A retrieval-based computer-aided diagnosis system for the characterization of liver lesions in CT scansPeter Dankerl, Alexander Cavallaro, Alexey Tsymbal, et al.
Medical Image Analysis|December 26, 2012
Spine detection in CT and MR using iterated marginal space learningB Michael Kelm, Michael Wels, S Kevin Zhou, et al.
European Radiology|February 12, 2013
Automatic detection of lytic and blastic thoracolumbar spine metastases on computed tomographyMatthias Hammon, Peter Dankerl, Alexey Tsymbal, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Journal of Thoracic Imaging|March 25, 2020
Artificial Intelligence in Diagnostic Imaging: Status Quo, Challenges, and Future OpportunitiesPuneet Sharma, Michael Suehling, Thomas Flohr, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 11, 2013
Fast and robust 3D vertebra segmentation using statistical shape modelsHengameh Mirzaalian, Michael Wels, Tobias Heimann, et al.
IEEE Transactions on Visualization and Computer Graphics|September 11, 2015
ADR--Anatomy-Driven ReformationJan Kretschmer, Grzegorz Soza, Christian Tietjen, et al.
IEEE Transactions on Medical Imaging|October 5, 2011
Automatic detection and segmentation of lymph nodes from CT dataAdrian Barbu, Michael Suehling, Xun Xu, et al.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|October 1, 2010
Automatic detection and segmentation of axillary lymph nodesAdrian Barbu, Michael Suehling, Xun Xu, et al.
Interface Focus|June 7, 2012
Patient-specific modelling of whole heart anatomy, dynamics and haemodynamics from four-dimensional cardiac CT imagesViorel Mihalef, Razvan Ioan Ionasec, Puneet Sharma, et al.
Diagnostics (Basel, Switzerland)|April 13, 2024
Development and Validation of a Deep-Learning-Based Algorithm for Detecting and Classifying Metallic Implants in Abdominal and Spinal CT TopogramsMoon-Hyung Choi, Joon-Yong Jung, Zhigang Peng, et al.
Academic Radiology|November 9, 2013
A retrieval-based computer-aided diagnosis system for the characterization of liver lesions in CT scansPeter Dankerl, Alexander Cavallaro, Alexey Tsymbal, et al.
Medical Image Analysis|December 26, 2012
Spine detection in CT and MR using iterated marginal space learningB Michael Kelm, Michael Wels, S Kevin Zhou, et al.
European Radiology|February 12, 2013
Automatic detection of lytic and blastic thoracolumbar spine metastases on computed tomographyMatthias Hammon, Peter Dankerl, Alexey Tsymbal, et al.
Pageof 2