Sreenath P Kyathanahally
Sreenath P Kyathanahally
Qualysense AG
Verified email at qualysense.com
Title
Cited by
Cited by
Year
Deep learning approaches for detection and removal of ghosting artifacts in MR spectroscopy
SP Kyathanahally, A Döring, R Kreis
Magnetic resonance in medicine 80 (3), 851-863, 2018
342018
Anterior–posterior dissociation of the default mode network in dogs
SP Kyathanahally, H Jia, OM Pustovyy, P Waggoner, R Beyers, ...
Brain Structure and Function 220 (2), 1063-1076, 2015
292015
Quality of clinical brain tumor MR spectra judged by humans and machine learning tools
SP Kyathanahally, V Mocioiu, N Pedrosa de Barros, J Slotboom, ...
Magnetic resonance in medicine 79 (5), 2500-2510, 2018
142018
A realistic framework for investigating decision making in the brain with high spatiotemporal resolution using simultaneous EEG/fMRI and joint ICA
SP Kyathanahally, A Franco-Watkins, X Zhang, VD Calhoun, ...
IEEE journal of biomedical and health informatics 21 (3), 814-825, 2016
112016
Automated quality control for proton magnetic resonance spectroscopy data using convex non-negative matrix factorization
V Mocioiu, SP Kyathanahally, C Arús, A Vellido, M Julià-Sapé
International Conference on Bioinformatics and Biomedical Engineering, 719-727, 2016
9*2016
Investigation of true high frequency electrical substrates of fMRI-based resting state networks using parallel independent component analysis of simultaneous EEG/fMRI data
SP Kyathanahally, Y Wang, VD Calhoun, G Deshpande
Frontiers in neuroinformatics 11, 74, 2017
72017
Fitting interrelated datasets: metabolite diffusion and general lineshapes
V Adalid, A Döring, SP Kyathanahally, CS Bolliger, C Boesch, R Kreis
Magnetic Resonance Materials in Physics, Biology and Medicine 30 (5), 429-448, 2017
72017
Forecasting the quality of water‐suppressed 1H MR spectra based on a single‐shot water scan
SP Kyathanahally, R Kreis
Magnetic resonance in medicine 78 (2), 441-451, 2017
42017
Does superficial fat affect metabolite concentrations determined by MR spectroscopy with water referencing?
SP Kyathanahally, ND Fichtner, V Adalid, R Kreis
NMR in Biomedicine 28 (11), 1543-1549, 2015
42015
Tracking the neurodegenerative gradient after spinal cord injury
M Azzarito, M Seif, S Kyathanahally, A Curt, P Freund
NeuroImage: Clinical 26, 102221, 2020
12020
Blind source separation methods for analysis and fusion of Multimodal brain imaging data
SP Kyathanahally
12013
Simultaneous voxel‐wise analysis of brain and spinal cord morphometry and microstructure within the SPM framework
M Azzarito, SP Kyathanahally, Y Balbastre, M Seif, C Blaiotta, ...
Human Brain Mapping 42 (1), 220-232, 2021
2021
Don't use relative Cramer Rao Lower Bounds for elimination of low quality data!
R Kreis, SP Kyathanahally.
23rd International Symposium on Magnetic Resonance in Medicine (ISMRM …, 2015
2015
Potential effects of superficial fat on metabolite concentrations determined by water referencing studied with various acquisition settings.
SP Kyathanahally, N Fichtner, VJ Adalid, R Kreis
23rd International Symposium on Magnetic Resonance in Medicine (ISMRM …, 2015
2015
Real-time tool to forecast the adequacy of shim and to define the number of acquisitions needed to answer the clinical question at hand with the prescribed 1H MR spectroscopy exam
SP Kyathanahally, R Kreis
23rd International Symposium on Magnetic Resonance in Medicine (ISMRM …, 2015
2015
Investigating the neural basis of the default mode network using blind hemodynamic deconvolution of resting state fMRI data
SP Kyathanahally, KR Sreenivasan, D Marinazzo, G Wu, G Deshpande
22nd annual meeting of the International Society for Magnetic Resonance in …, 2014
2014
Comparison of Different EPI Sequences for Obtaining Resting State Brain Networks at 7T
SP Kyathanahally, N Salibi, G Deshpande
ISMRM Workshop on Ultra High Field MRI: What is in Full Bloom & What is …, 2013
2013
Investigation of the neural basis of the Default Mode Network using parallel Independent Component Analysis of simultaneous EEG/fMRI data
SP Kyathanahally, N Erbil, VD Calhoun, G Deshpande
21st annual meeting of the International Society for Magnetic Resonance in …, 2013
2013
Simultaneous modeling of spectra and apparent diffusion coefficients.
VA Lopez, A Doering, SP Kyathanahally, CS Bolliger, R Kreis
Automatic Removal of Ghosting Artifacts from MR Spectra using Deep Learning
SP Kyathanahally, A Döring, R Kreis
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Articles 1–20