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Sai Gokul Hariharan
Sai Gokul Hariharan
Technical University of Munich, Siemens Healthineers AG
Verified email at tum.de
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Cited by
Cited by
Year
Automatic recognition of avocado fruit diseases using modified deep convolutional neural network
R Thangaraj, D Dinesh, S Hariharan, S Rajendar, D Gokul, TR Hariskarthi
International Journal of Grid and Distributed Computing 13 (1), 1550-1559, 2020
112020
Learning-based X-ray image denoising utilizing model-based image simulations
SG Hariharan, C Kaethner, N Strobel, M Kowarschik, S Albarqouni, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
102019
A photon recycling approach to the denoising of ultra-low dose X-ray sequences
SG Hariharan, N Strobel, C Kaethner, M Kowarschik, S Demirci, ...
International journal of computer assisted radiology and surgery 13, 847-854, 2018
92018
An analytical approach for the simulation of realistic low-dose fluoroscopic images
SG Hariharan, N Strobel, C Kaethner, M Kowarschik, R Fahrig, N Navab
International Journal of Computer Assisted Radiology and Surgery 14, 601-610, 2019
62019
Simulation of realistic low dose fluoroscopic images from their high dose counterparts
SG Hariharan, N Strobel, M Kowarschik, R Fahrig, N Navab
Bildverarbeitung für die Medizin 2018: Algorithmen-Systeme-Anwendungen …, 2018
62018
Preliminary results of DSA denoising based on a weighted low-rank approach using an advanced neurovascular replication system
SG Hariharan, C Kaethner, N Strobel, M Kowarschik, J DiNitto, ...
International Journal of Computer Assisted Radiology and Surgery 14, 1117-1126, 2019
52019
Data-driven estimation of noise variance stabilization parameters for low-dose x-ray images
SG Hariharan, N Strobel, C Kaethner, M Kowarschik, R Fahrig, N Navab
Physics in Medicine & Biology 65 (22), 225027, 2020
42020
Implicit background subtraction for cardiac digital angiography
R Brosig, SG Hariharan, D Volpi, M Kowarschik, S Carlier, N Navab, ...
Joint MICCAI workshops on Computing and Visualisation for Intravascular …, 2015
42015
Providing a resultant image dataset and providing a trained generator function
C Kaethner, SG Hariharan
US Patent 11,532,074, 2022
22022
Model-based motion artifact correction in digital subtraction angiography using optical-flow
SG Hariharan, C Kaethner, N Strobel, M Kowarschik, J DiNitto, R Fahrig, ...
Bildverarbeitung für die Medizin 2019: Algorithmen–Systeme–Anwendungen …, 2019
22019
Novel Analytical and Learning-based Image Processing Techniques for Dose Reduction in Interventional X-ray Imaging
SG Hariharan
Technische Universität München, 2023
12023
Background Subtraction in Surveillance Systems Using Local Spectral Histograms and Linear Regression.
S Hariharan, R Venkatesan
Intelligent Automation & Soft Computing 34 (1), 2022
12022
Robust learning-based x-ray image denoising—potential pitfalls, their analysis and solutions
SG Hariharan, C Kaethner, N Strobel, M Kowarschik, R Fahrig, N Navab
Biomedical Physics & Engineering Express 8 (3), 035013, 2022
12022
Processing at least one X-ray image
N Strobel, SG Hariharan
US Patent 10,832,381, 2020
12020
Method and system for executing an image-based task
E Preuhs, SG Hariharan, M Kowarschik
US Patent App. 18/218,187, 2024
2024
Computer-implemented methods and systems for provision of a correction algorithm for an x-ray image and for correction of an x-ray image, x-ray facility, computer program, and …
SG Hariharan, H Rohdjess
US Patent 11,816,815, 2023
2023
Providing a result image data set
C Kaethner, SG Hariharan, M Kowarschik
US Patent 11,636,590, 2023
2023
Military Hand Signal Classification Using Deep Learning
NMS Aravind, S Hariharan, A Shaik
International Virtual Conference on Industry 4.0: Select Proceedings of …, 2023
2023
Method for noise reduction in an x-ray image, image processing apparatus, computer program, and electronically readable data storage medium
C Kaethner, SG Hariharan
US Patent App. 17/681,405, 2022
2022
Adjusting a parameter for noise suppression in x-ray imaging
SG Hariharan, C Kaethner
US Patent App. 17/592,699, 2022
2022
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