Ivan S. Klyuzhin, PhD
Ivan S. Klyuzhin, PhD
Research Programmer, BC Cancer Research Institute
Verified email at - Homepage
Cited by
Cited by
Application of texture analysis to DAT SPECT imaging: relationship to clinical assessments
A Rahmim, Y Salimpour, S Jain, SAL Blinder, IS Klyuzhin, GS Smith, ...
NeuroImage: Clinical 12, e1-e9, 2016
Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease
MR Salmanpour, M Shamsaei, A Saberi, S Setayeshi, IS Klyuzhin, ...
Computers in biology and medicine 111, 103347, 2019
Persisting water droplets on water surfaces
IS Klyuzhin, F Ienna, B Roeder, A Wexler, GH Pollack
The Journal of Physical Chemistry B 114 (44), 14020-14027, 2010
New method of water purification based on the particle-exclusion phenomenon
I Klyuzhin, A Symonds, J Magula, GH Pollack
Environmental science & technology 42 (16), 6160-6166, 2008
Machine learning methods for optimal prediction of motor outcome in Parkinson’s disease
MR Salmanpour, M Shamsaei, A Saberi, IS Klyuzhin, J Tang, V Sossi, ...
Physica Medica 69, 233-240, 2020
Artificial neural network–based prediction of outcome in Parkinson’s disease patients using DaTscan SPECT imaging features
J Tang, B Yang, MP Adams, NN Shenkov, IS Klyuzhin, S Fotouhi, ...
Molecular imaging and biology 21 (6), 1165-1173, 2019
Use of a tracer-specific deep artificial neural net to denoise dynamic PET images
IS Klyuzhin, JC Cheng, C Bevington, V Sossi
IEEE transactions on medical imaging 39 (2), 366-376, 2019
A correlation between mechanical and electrical properties of the synthetic hydrogel chosen as an experimental model of cytoskeleton
TF Shklyar, AP Safronov, IS Klyuzhin, G Pollack, FA Blyakhman
Biophysics 53 (6), 544-549, 2008
Investigation of serotonergic Parkinson's disease-related covariance pattern using [11C]-DASB/PET
JF Fu, I Klyuzhin, S Liu, E Shahinfard, N Vafai, J McKenzie, N Neilson, ...
NeuroImage: Clinical 19, 652-660, 2018
Using deep-learning to predict outcome of patients with Parkinson’s disease
KH Leung, MR Salmanpour, A Saberi, IS Klyuzhin, V Sossi, AK Jha, ...
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference …, 2018
Joint pattern analysis applied to PET DAT and VMAT2 imaging reveals new insights into Parkinson's disease induced presynaptic alterations
JF Fu, I Klyuzhin, J McKenzie, N Neilson, E Shahinfard, K Dinelle, ...
NeuroImage: Clinical 23, 101856, 2019
Exploring the use of shape and texture descriptors of positron emission tomography tracer distribution in imaging studies of neurodegenerative disease
IS Klyuzhin, M Gonzalez, E Shahinfard, N Vafai, V Sossi
Journal of Cerebral Blood Flow & Metabolism 36 (6), 1122-1134, 2016
Unexpected water flow through Nafion-tube punctures
C O’Rourke, I Klyuzhin, JS Park, GH Pollack
Physical Review E 83 (5), 056305, 2011
Dynamic PET image reconstruction utilizing intrinsic data‐driven HYPR4D denoising kernel
JC Cheng, C Bevington, A Rahmim, I Klyuzhin, J Matthews, R Boellaard, ...
Medical Physics 48 (5), 2230-2244, 2021
Radiomics in PET imaging: a practical guide for newcomers
F Orlhac, C Nioche, I Klyuzhin, A Rahmim, I Buvat
PET clinics 16 (4), 597-612, 2021
Use of generative disease models for analysis and selection of radiomic features in PET
IS Klyuzhin, JF Fu, N Shenkov, A Rahmim, V Sossi
IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 178-191, 2018
Data-driven, voxel-based analysis of brain PET images: Application of PCA and LASSO methods to visualize and quantify patterns of neurodegeneration
IS Klyuzhin, JF Fu, A Hong, M Sacheli, N Shenkov, M Matarazzo, ...
PloS one 13 (11), e0206607, 2018
Texture and shape analysis on high and low spatial resolution emission images
SAL Blinder, I Klyuzhin, ME Gonzalez, A Rahmim, V Sossi
2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2014
PET image reconstruction and deformable motion correction using unorganized point clouds
IS Klyuzhin, V Sossi
IEEE Transactions on Medical Imaging 36 (6), 1263-1275, 2017
Investigation of texture quantification parameters for neurological PET image analysis
IS Klyuzhin, S Blinder, R Mabrouk, A Rahmim, V Sossi
2015 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2015
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