Kiran Thapaliya
Titel
Zitiert von
Zitiert von
Jahr
Level set method with automatic selective local statistics for brain tumor segmentation in MR images
K Thapaliya, JY Pyun, CS Park, GR Kwon
Computerized Medical Imaging and Graphics 37 (7-8), 522-537, 2013
422013
Extraction of brain tumor based on morphological operations
K Thapaliya, GR Kwon
2012 8th International Conference on Computing Technology and Information …, 2012
322012
Assessment of microstructural signal compartments across the corpus callosum using multi-echo gradient recalled echo at 7 T
K Thapaliya, V Vegh, S Bollmann, M Barth
NeuroImage 182, 407-416, 2018
232018
A systematic review of neurological impairments in myalgic encephalomyelitis/chronic fatigue syndrome using neuroimaging techniques
R Maksoud, S du Preez, N Eaton-Fitch, K Thapaliya, L Barnden, ...
PLoS One 15 (4), e0232475, 2020
172020
7T GRE-MRI signal compartments are sensitive to dysplastic tissue in focal epilepsy
K Thapaliya, J Urriola, M Barth, DC Reutens, S Bollmann, V Vegh
Magnetic resonance imaging 61, 1-8, 2019
72019
Identification and extraction of brain tumor from MRI using local statistics of Zernike moments
K Thapaliya, GR Kwon
International journal of imaging systems and technology 24 (4), 284-292, 2014
62014
An advanced segmentation using bit-plane slicing technique in extraction of lungs region
T Kiran, GR Kwon
2011 Second Asian Himalayas International Conference on Internet (AH-ICI), 1-5, 2011
62011
Detection of Brain Tumor Using Zernike Moments on Magnetic Resonance Images
K Thapaliya, GR Kwon
ICCGI 2013, The Eighth International Multi-Conference on Computing in the …, 2013
42013
Morphological Operations to Segment a Tumor from a Magnetic Resonance Image
K Thapaliya, GR Kwon
Journal of information and communication convergence engineering 12 (1), 60-65, 2014
32014
Automatic segmentation of pulmonary parenchyma using connected component and centroid value
T Kiran, GR Kwon
한국정보기술학회논문지 10 (12), 49-56, 2012
32012
Influence of 7T GRE-MRI signal compartment model choice on tissue parameters
K Thapaliya, V Vegh, S Bollmann, M Barth
Frontiers in neuroscience 14, 271, 2020
22020
An efficient extraction of pulmonary parenchyma in CT images using connected component labeling
K Thapaliya, IC Park, GR Kwon
Journal of information and communication convergence engineering 9 (6), 661-665, 2011
22011
Mapping of pathological change in chronic fatigue syndrome using the ratio of T1-and T2-weighted MRI scans
K Thapaliya, S Marshall-Gradisnik, D Staines, L Barnden
NeuroImage: Clinical 28, 102366, 2020
12020
7T GRE-MRI frequency shifts obtained from signal compartments can differentiate normal from dysplastic tissue in focal epilepsy
K Thapaliya, M Barth, S Bollmann, D Reutuns, V Vegh
ISMRM, 2018
12018
An advanced segmentation using area and boundary tracing technique in extraction of lungs region
K Thapaliya, SW Lee, JY Pyu, H Jeong, GR Kwon
Journal of Central South University 21 (10), 3811-3820, 2014
12014
MR signal modelling approaches to characterise tissue microstructure in in-vivo human brain
K Thapaliya
2020
Higher levels of myelination were observed in chronic fatigue syndrome patients relative to healthy controls
K Thapaliya, S Marshaall-Gradisnik, S Don, S Bhuta, B Leighton
International Society of Magnetic Resonance in Medicine, 2020
2020
MR signal modelling comparison and its influence on tissue parameters using gradientecho MRI at 7 Telsa
K Thapaliya, V Vegh, S Bollmann, M Barth
International Society of Magnetic Resonance in Medicine, 2020
2020
The effect of noise on myelin assessment by multi-exponential fitting for varying white matter fibre geometries
T Ali, V Itkyl, K Thapaliya, M Barth
International Society of Magnetic Resonance in Medicine, 2020
2020
Influence of model settings on myelin water fraction and frequency distribution for gradient-echo MRI at 7 Tesla
K Thapaliya, V Vegh, S Bollmann, M Barth
International Society for Magnetic Resonance in Medicine, 2019
2019
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