VS
Vivek Singh
Siemens Medical Solutions USA Inc, Siemens Corp Corporate Research, University of Southern California, Indian Institute of Technology Kanpur
About
At Siemens Healthineers, I drive the technology development of AI based integrated decision support algorithms using multi-modal digital twins, both in clinical as well as operational context. Several of these works have been published in peer-reviewed AI conferences and journals (50+) and have been deployed and are being actively used to provide efficiency in radiology imaging workflows, radiology operations as well as service workforce optimization.
Employment
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Siemens Medical Solutions USA Inc Principal Scientist2016 - Present
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Siemens Corp Corporate Research Staff Scientist, Research Scientist2011 - 2015
Education
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University of Southern California Doctor of Philosophy2005 - 2011
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Indian Institute of Technology Kanpur Bachelor of Technology2001 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (151)
- Operational Twin–Driven AI Recommender for Strategic Service Planning Save
- A Novel 3D Camera-Based ECG-Imaging System for Electrode Position Discovery and Heart-Torso Registration Save
- Methods and apparatus for automated specimen characterization using diagnostic analysis system with continuous performance based training Save
- Methods and apparatus for hashing and retrieval of training images used in hiln determinations of specimens in automated diagnostic analysis systems Save
- Methods and apparatus for protecting patient information during characterization of a specimen in an automated diagnostic analysis system Save
- Dense body marker estimation from camera data for patient positioning in medical imaging Save
- MULTI-TASK LEARNING FRAMEWORK FOR FULLY AUTOMATED ASSESSMENT OF CORONARY ARTERIES IN ANGIOGRAPHY IMAGES Save
- Concordance and generalization of an AI algorithm with real-world clinical data in the pre-omicron and omicron era Save
- Ai-based analysis of coronary angiograms Save
- Cardiac ultrasound simulation for autonomous ultrasound navigation Save