E-LIB Suche - Ergebnisse für: Kyathanahally, Sreenath

1

Tracking the neurodegenerative gradient after spinal cord i..:

Azzarito, Michela ; Seif, Maryam ; Kyathanahally, Sreenath..
NeuroImage: Clinical. 26 (2020) - p. 102221 , 2020

2

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/..

3

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/..

4

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/..

5

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/..

6

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/..

7

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/..

8

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/..

9

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/..

10

Fitting interrelated datasets: metabolite diffusion and gen..:

Adalid, Victor ; Döring, André ; Kyathanahally, Sreenath Pruthviraj...
Magnetic Resonance Materials in Physics, Biology and Medicine. 30 (2017) 5 - p. 429-448 , 2017

Link: https://doi.org/10.1007/..

11

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/..

12

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/..

13

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/..

14

Producing Plankton Classifiers that are Robust to Dataset S..:

Chen, Cheng ; Kyathanahally, Sreenath ; Reyes, Marta...
http://arxiv.org/abs/2401.14256. , 2024

Link: http://arxiv.org/abs/240..

15

Tracking the neurodegenerative gradient after spinal cord i..:

Azzarito, Michela ; Seif, Maryam ; Kyathanahally, Sreenath..
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7058923/. , 2020

Link: http://www.ncbi.nlm.nih...