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Kyathanahally, Sreenath P
30
results:
Search for persons
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Format
Online (30)
Mediatypes
Articles (Online) (15)
Bookchapter (Online) (1)
OpenAccess-fulltext (14)
Sorted by: Relevance
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?
1
Denoising single MR spectra by deep learning: Miracle or mi..:
Dziadosz, Martyna
;
Rizzo, Rudy
;
Kyathanahally, Sreenath P.
.
Magnetic Resonance in Medicine. 90 (2023) 5 - p. 1749-1761 , 2023
Link:
https://doi.org/10.1002/..
?
2
Reliability of Quantification Estimates in MR Spectroscopy:..:
, In:
Lecture Notes in Computer Science; Medical Image Computing and Computer Assisted Intervention – MICCAI 2022
,
Rizzo, Rudy
;
Dziadosz, Martyna
;
Kyathanahally, Sreenath P.
.. - p. 715-724 , 2022
Link:
https://doi.org/10.1007/..
?
3
Quantification of MR spectra by deep learning in an idealiz..:
Rizzo, Rudy
;
Dziadosz, Martyna
;
Kyathanahally, Sreenath P.
..
Magnetic Resonance in Medicine. 89 (2022) 5 - p. 1707-1727 , 2022
Link:
https://doi.org/10.1002/..
?
4
Microstructural plasticity in nociceptive pathways after sp..:
Kyathanahally, Sreenath P
;
Azzarito, Michela
;
Rosner, Jan
...
Journal of Neurology, Neurosurgery & Psychiatry. 92 (2021) 8 - p. 863-871 , 2021
Link:
https://doi.org/10.1136/..
?
5
Deep Learning Classification of Lake Zooplankton:
Kyathanahally, Sreenath P.
;
Hardeman, Thomas
;
Merz, Ewa
...
Frontiers in Microbiology. 12 (2021) - p. , 2021
Link:
https://doi.org/10.3389/..
?
6
Simultaneous voxel‐wise analysis of brain and spinal cord m..:
Azzarito, Michela
;
Kyathanahally, Sreenath P.
;
Balbastre, Yaël
...
Human Brain Mapping. 42 (2020) 1 - p. 220-232 , 2020
Link:
https://doi.org/10.1002/..
?
7
Deep learning approaches for detection and removal of ghost..:
Kyathanahally, Sreenath P.
;
Döring, André
;
Kreis, Roland
Magnetic Resonance in Medicine. 80 (2018) 3 - p. 851-863 , 2018
Link:
https://doi.org/10.1002/..
?
8
Investigation of True High Frequency Electrical Substrates ..:
Kyathanahally, Sreenath P.
;
Wang, Yun
;
Calhoun, Vince D.
.
Frontiers in Neuroinformatics. 11 (2017) - p. , 2017
Link:
https://doi.org/10.3389/..
?
9
Quality of clinical brain tumor MR spectra judged by humans..:
Kyathanahally, Sreenath P.
;
Mocioiu, Victor
;
Pedrosa de Barros, Nuno
...
Magnetic Resonance in Medicine. 79 (2017) 5 - p. 2500-2510 , 2017
Link:
https://doi.org/10.1002/..
?
10
Forecasting the quality of water-suppressed 1H MR spectra b..:
Kyathanahally, Sreenath P.
;
Kreis, Roland
Magnetic Resonance in Medicine. 78 (2016) 2 - p. 441-451 , 2016
Link:
https://doi.org/10.1002/..
?
11
Anterior–posterior dissociation of the default mode network..:
Kyathanahally, Sreenath P.
;
Jia, Hao
;
Pustovyy, Oleg M.
...
Brain Structure and Function. 220 (2014) 2 - p. 1063-1076 , 2014
Link:
https://doi.org/10.1007/..
?
12
Quantification of MR spectra by deep learning in an idealiz..:
Rizzo, Rudy
;
Dziadosz, Martyna
;
Kyathanahally, Sreenath P
..
https://boris.unibe.ch/176145/. , 2023
Link:
https://boris.unibe.ch/1..
?
13
Denoising single MR spectra by deep learning: Miracle or mi..:
Dziadosz, Martyna
;
Rizzo, Rudy
;
Kyathanahally, Sreenath P
.
https://boris.unibe.ch/183536/. , 2023
Link:
https://boris.unibe.ch/1..
?
14
Ensembles of data-efficient vision transformers as a new pa..:
Kyathanahally, Sreenath P
;
Hardeman, Thomas
;
Reyes, Marta
...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-022-21910-0. , 2022
Link:
https://hdl.handle.net/2..
?
15
Deep Learning Classification of Lake Zooplankton:
Kyathanahally, Sreenath P
;
Hardeman, Thomas
;
Merz, Ewa
...
info:eu-repo/semantics/altIdentifier/doi/10.3389/fmicb.2021.746297. , 2021
Link:
https://hdl.handle.net/2..
1-15