| 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 | 34 | 2018 |
| 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 | 29 | 2015 |
| 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 | 14 | 2018 |
| 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 | 11 | 2016 |
| 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 | 7 | 2017 |
| 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 | 7 | 2017 |
| 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 | 4 | 2017 |
| 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 | 4 | 2015 |
| Tracking the neurodegenerative gradient after spinal cord injury M Azzarito, M Seif, S Kyathanahally, A Curt, P Freund NeuroImage: Clinical 26, 102221, 2020 | 1 | 2020 |
| Blind source separation methods for analysis and fusion of Multimodal brain imaging data SP Kyathanahally | 1 | 2013 |
| 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 | | |
