Jochen von Spiczak - Concepedia

Author

Jochen von Spiczak

University Hospital of Zurich ORCID

Also Known As

J von Spiczak, J. von Spiczak, Jochen V. Spiczak, Jochen Von Spiczak, Jochen von Spiczak, von Spiczak, Jochen

Publications

1.4K

Citations

H-Index

Concepts

All Affiliations

University Hospital of Zurich Institute for Biomedical Engineering ETH Zurich University of Zurich Society of Interventional Radiology

About

Jochen von Spiczak is an author at University Hospital of Zurich specializing in radiology, medical imaging, and health sciences.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Health Sciences	7	7	161
2	Engineering	5	5	131
3	Medicine	5	5	172
4	Biomedical Engineering	2	2	34
5	Computer Engineering	1	1	10

Jochen von Spiczak

Publications

1.2K

Citations

H-Index

Page 1

	Year	Citations
Flow measurement by cardiovascular magnetic resonance: a multi-centre multi-vendor study of background phase offset errors that can compromise the accuracy of derived regurgitant or shunt flow measurements Peter Gatehouse, Marijn P Rolf, Martin J. Graves, Journal of Cardiovascular Magnetic Resonance	2010	225
Texture Analysis and Machine Learning for Detecting Myocardial Infarction in Noncontrast Low-Dose Computed Tomography Manoj Mannil, Jochen von Spiczak, Robert Manka, Investigative Radiology	2018	137
Photon-Counting CT Manoj Mannil, Tilman Hickethier, Jochen von Spiczak, Investigative Radiology	2017	128
Potential of Photon-Counting Detector CT for Radiation Dose Reduction for the Assessment of Interstitial Lung Disease in Patients With Systemic Sclerosis Lisa Jungblut, André Euler, Jochen von Spiczak, Investigative Radiology	2022	83
Photon Counting Computed Tomography With Dedicated Sharp Convolution Kernels Jochen von Spiczak, Manoj Mannil, Benjamin Peters, Investigative Radiology	2018	80
Quantitative Analysis of Vortical Blood Flow in the Thoracic Aorta Using 4D Phase Contrast MRI Jochen von Spiczak, Gérard Crelier, Daniel Giese, PLoS ONE	2015	77
The potential of machine learning to predict postoperative pancreatic fistula based on preoperative, non-contrast-enhanced CT: A proof-of-principle study Patryk Kambakamba, Manoj Mannil, Paola E. Herrera, Surgery EngineeringMachine LearningMedical ImagingDeep LearningComputer-assisted Surgery	2019	66
Three-Dimensional Texture Analysis with Machine Learning Provides Incremental Predictive Information for Successful Shock Wave Lithotripsy in Patients with Kidney Stones Manoj Mannil, Jochen von Spiczak, Thomas Hermanns, The Journal of Urology	2018	63
Radiomics for Distinguishing Myocardial Infarction from Myocarditis at Late Gadolinium Enhancement at MRI: Comparison with Subjective Visual Analysis Tommaso Di Noto, Jochen von Spiczak, Manoj Mannil, Radiology Cardiothoracic Imaging	2019	40
Can magnetic resonance imaging radiomics of the pancreas predict postoperative pancreatic fistula? Stephan Skawran, Patryk Kambakamba, Jochen von Spiczak, European Journal of Radiology Pancreatic CancerMedical ImagingPancreatic Fluid CollectionAbdominal ImagingMagnetic Resonance	2021	38

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