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Rizzo, Rudy; Dziadosz, Martyna; Kyathanahally, Sreenath P; Shamaei, Amirmohammad; Kreis, Roland (2023). Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias. Magnetic resonance in medicine, 89(5), pp. 1707-1727. Wiley-Liss 10.1002/mrm.29561
Kyathanahally, Sreenath Pruthviraj; Döring, André; Kreis, Roland (2018). Deep learning approaches for detection and removal of ghosting artifacts in MR spectroscopy. Magnetic resonance in medicine, 80(3), pp. 851-863. Wiley-Liss 10.1002/mrm.27096
Kyathanahally, Sreenath Pruthviraj; Mocioiu, Victor; da Silva Mendes Pedrosa de Barros, Nuno Miguel; Slotboom, Johannes; Wright, Alan J; Julià-Sapé, Margarida; Arús, Carles; Kreis, Roland (2018). Quality of clinical brain tumor MR spectra judged by humans and machine learning tools. Magnetic resonance in medicine, 79(5), pp. 2500-2510. Wiley-Liss 10.1002/mrm.26948
Adalid López, Víctor Javier; Döring, André; Kyathanahally, Sreenath Pruthviraj; Bolliger, Christine Sandra; Boesch, Christoph Hans; Kreis, Roland (2017). Fitting interrelated datasets: metabolite diffusion and general lineshapes. Magma, 30(5), pp. 429-448. Springer 10.1007/s10334-017-0618-z
Kyathanahally, Sreenath Pruthviraj; Wang, Yun; Calhoun, Vince D; Deshpande, Gopikrishna (2017). Investigation of True High Frequency Electrical Substrates of fMRI-Based Resting State Networks Using Parallel Independent Component Analysis of Simultaneous EEG/fMRI Data. Frontiers in neuroinformatics, 11, p. 74. Frontiers Research Foundation 10.3389/fninf.2017.00074
