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I. Klyuzhin · SciRah

Researcher profile · Semantic Scholar

I. Klyuzhin

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I. Klyuzhin — researcher profile on SciRah

h-index: 18
Works: 66
Citations: 898

Most-cited papers

Radiomics in PET Imaging:: A Practical Guide for Newcomers.
F. Orlhac, C. Nioche, I. Klyuzhin, A. Rahmim +1 more
2021PET Clinics78 citations Open access
Semantic Scholar
Application of texture analysis to DAT SPECT imaging: Relationship to clinical assessments
A. Rahmim, Y. Salimpour, Saurabh Jain, S. Blinder +4 more
2016NeuroImage: Clinical75 citations Open access
Semantic Scholar
TMTV-Net: fully automated total metabolic tumor volume segmentation in lymphoma PET/CT images — a multi-center generalizability analysis
F. Yousefirizi, I. Klyuzhin, J. O, Sara Harsini +13 more
2024European Journal of Nuclear Medicine and Molecular Imaging58 citations Open access
Semantic Scholar
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
Yi-Xi Xu, I. Klyuzhin, Sara Harsini, Anthony Ortiz +6 more
2023Comput. Biol. Medicine49 citations Open access
Semantic Scholar
Artificial Neural Network–Based Prediction of Outcome in Parkinson’s Disease Patients Using DaTscan SPECT Imaging Features
Jing Tang, Bao Yang, Matthew P. Adams, N. Shenkov +7 more
2019Molecular Imaging and Biology48 citations
Semantic Scholar
Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease
Mohammad R. Salmanpour, M. Shamsaei, A. Saberi, S. Setayeshi +3 more
2019Comput. Biol. Medicine48 citations
Semantic Scholar
Machine learning methods for optimal prediction of motor outcome in Parkinson's disease.
Mohammad R. Salmanpour, M. Shamsaei, A. Saberi, I. Klyuzhin +3 more
2020Physica medica (Testo stampato)41 citations
Semantic Scholar
Persisting Water Droplets on Water Surfaces
I. Klyuzhin, F. Ienna, B. Roeder, Adam D. Wexler +1 more
2010Journal of Physical Chemistry B39 citations Open access
Semantic Scholar
Use of a Tracer-Specific Deep Artificial Neural Net to Denoise Dynamic PET Images
I. Klyuzhin, J. Cheng, C. Bevington, V. Sossi
2020IEEE Transactions on Medical Imaging27 citations
Semantic Scholar
Joint pattern analysis applied to PET DAT and VMAT2 imaging reveals new insights into Parkinson's disease induced presynaptic alterations
J. Fu, I. Klyuzhin, J. McKenzie, N. Neilson +5 more
2019NeuroImage: Clinical27 citations Open access
Semantic Scholar
Using deep-learning to predict outcome of patients with Parkinson’s disease
Kevin H. Leung, Mohammad R. Salmanpour, A. Saberi, I. Klyuzhin +5 more
2018Nuclear Science Symposium and Medical Imaging Conference26 citations
Semantic Scholar
A correlation between mechanical and electrical properties of the synthetic hydrogel chosen as an experimental model of cytoskeleton
T. Shklyar, A. Safronov, I. Klyuzhin, G. H. Pollack +1 more
200826 citations
Semantic Scholar
Evaluating Outcome Prediction via Baseline, End-of-Treatment, and Delta Radiomics on PET-CT Images of Primary Mediastinal Large B-Cell Lymphoma
F. Yousefirizi, C. Gowdy, I. Klyuzhin, M. Sabouri +9 more
2024Cancers25 citations Open access
Semantic Scholar
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
I. Klyuzhin, Yi-Xi Xu, A. Ortiz, J. Lavista Ferres +2 more
2020medRxiv25 citations Open access
Semantic Scholar
Investigation of serotonergic Parkinson's disease-related covariance pattern using [11C]-DASB/PET
J. Fu, I. Klyuzhin, Shu-Ying Liu, E. Shahinfard +9 more
2018NeuroImage: Clinical25 citations Open access
Semantic Scholar
New method of water purification based on the particle-exclusion phenomenon.
I. Klyuzhin, A. Symonds, Jeff Magula, G. Pollack
2008Environmental Science and Technology25 citations
Semantic Scholar
Dynamic PET Image Reconstruction Utilizing Intrinsic Data-Driven HYPR4D De-noising Kernel.
Ju-Chieh Kevin Cheng, C. Bevington, A. Rahmim, I. Klyuzhin +3 more
2021Medical Physics (Lancaster)24 citations Open access
Semantic Scholar
Becoming Good at AI for Good
Meghana Kshirsagar, Caleb Robinson, Siyu Yang, Shahrzad Gholami +12 more
2021AAAI/ACM Conference on AI, Ethics, and Society19 citations Open access
Semantic Scholar
Exploring the use of shape and texture descriptors of positron emission tomography tracer distribution in imaging studies of neurodegenerative disease
I. Klyuzhin, Marjorie E. Gonzalez, E. Shahinfard, N. Vafai +1 more
2016Journal of Cerebral Blood Flow and Metabolism18 citations Open access
Semantic Scholar
Data-driven, voxel-based analysis of brain PET images: Application of PCA and LASSO methods to visualize and quantify patterns of neurodegeneration
I. Klyuzhin, J. Fu, Andy Hong, Matthew A Sacheli +5 more
2018PLoS ONE17 citations Open access
Semantic Scholar
Design of an Anthropomorphic PET Phantom with Elastic Lungs and Respiration Modeling.
D. Black, Y. Yazdi, J. Wong, R. Fedrigo +4 more
2021Medical Physics (Lancaster)13 citations Open access
Semantic Scholar
Unexpected water flow through Nafion-tube punctures
C. O’Rourke, I. Klyuzhin, Ji Sun Park, G. Pollack
2011Physical review. E, Statistical, nonlinear, and soft matter physics13 citations Open access
Semantic Scholar
Machine Learning Methods for Optimal Prediction of Outcome in Parkinson’s Disease
Mohammad R. Salmanpour, M. Shamsaei, A. Saberi, S. Setayeshi +5 more
2018Nuclear Science Symposium and Medical Imaging Conference12 citations
Semantic Scholar
Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate Cancer.
K. Ma, S. Harmon, I. Klyuzhin, A. Rahmim +1 more
2022PET Clinics10 citations
Semantic Scholar
3D PET image generation with tumour masks using TGAN
Robert V. Bergen, J. Rajotte, F. Yousefirizi, I. Klyuzhin +2 more
2021Medical Imaging10 citations Open access
Semantic Scholar
Use of Generative Disease Models for Analysis and Selection of Radiomic Features in PET
I. Klyuzhin, J. Fu, N. Shenkov, A. Rahmim +1 more
2019IEEE Transactions on Radiation and Plasma Medical Sciences10 citations
Semantic Scholar
Novel data-driven, equation-free method captures spatio-temporal patterns of neurodegeneration in Parkinson's disease: Application of dynamic mode decomposition to PET
J. Fu, I. Klyuzhin, Martin J. Mckeown, A. Stoessl +1 more
2019NeuroImage: Clinical10 citations Open access
Semantic Scholar
PSMA-Hornet: fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images
I. Klyuzhin, G. Chaussé, I. Bloise, Sara Harsini +3 more
2022medRxiv9 citations Open access
Semantic Scholar
PET Image Reconstruction and Deformable Motion Correction Using Unorganized Point Clouds
I. Klyuzhin, V. Sossi
2017IEEE Transactions on Medical Imaging9 citations
Semantic Scholar
Texture and shape analysis on high and low spatial resolution emission images
S. Blinder, I. Klyuzhin, Marjorie E. Gonzalez, A. Rahmim +1 more
2014Nuclear Science Symposium and Medical Imaging Conference9 citations
Semantic Scholar
Quantitative evaluation of PSMA PET imaging using a realistic anthropomorphic phantom and shell-less radioactive epoxy lesions
R. Fedrigo, D. Kadrmas, Patricia E. Edem, Lauren Fougner +5 more
2021EJNMMI Physics8 citations Open access
Semantic Scholar
Investigation of texture quantification parameters for neurological PET image analysis
I. Klyuzhin, S. Blinder, R. Mabrouk, A. Rahmim +1 more
2015Nuclear Science Symposium and Medical Imaging Conference8 citations
Semantic Scholar
A Monte Carlo approach for improving transient dopamine release detection sensitivity
C. Bevington, J. Cheng, I. Klyuzhin, M. Cherkasova +2 more
2020Journal of Cerebral Blood Flow and Metabolism7 citations Open access
Semantic Scholar
Spatiotemporal patterns of putaminal dopamine processing in Parkinson’s disease: A multi-tracer positron emission tomography study
J. Fu, Tilman Wegener, I. Klyuzhin, J. Mannheim +3 more
2022NeuroImage: Clinical6 citations Open access
Semantic Scholar
Detection of transient neurotransmitter response using personalized neural networks
I. Klyuzhin, C. Bevington, J. Cheng, V. Sossi
2019bioRxiv6 citations Open access
Semantic Scholar
Relating Macroscopic PET Radiomics Features to Microscopic Tumor Phenotypes Using a Stochastic Mathematical Model of Cellular Metabolism and Proliferation
Hailey S. H. Ahn, Yas Oloumi Yazdi, Brennan J. Wadsworth, K. Bennewith +2 more
2024Cancers5 citations Open access
Semantic Scholar
Imaging in Neurodegeneration: Movement Disorders
V. Sossi, J. Cheng, I. Klyuzhin
2019IEEE Transactions on Radiation and Plasma Medical Sciences5 citations
Semantic Scholar
Denoising and DA release: effect of denoising on the ability to identify voxel-level neurophysiological response
C. Bevington, I. Klyuzhin, Lucero Aceves, D. Doudet +2 more
2018Nuclear Science Symposium and Medical Imaging Conference4 citations
Semantic Scholar
Multi-tracer PET correlation analysis reveals disease-specific patterns in Parkinson’s disease and asymptomatic LRRK2 pathogenic variant carriers compared to healthy controls
J. Mannheim, Jessie Fanglu Fu, Tilman Wegener, I. Klyuzhin +7 more
2024NeuroImage: Clinical3 citations Open access
Semantic Scholar
Training of deep convolutional neural nets to extract radiomic signatures of tumors
Jiwon Kim, S. Seo, S. Ashrafinia, A. Rahmim +2 more
20193 citations
Semantic Scholar
Use of deep convolutional neural networks to predict Parkinson’s disease progression from DaTscan SPECT images
I. Klyuzhin, N. Shenkov, A. Rahmim, V. Sossi
20183 citations
Semantic Scholar
From code sharing to sharing of implementations: Advancing reproducible AI development for medical imaging through federated testing.
F. Yousefirizi, A. Liyanage, I. Klyuzhin, A. Rahmim
2024Journal of Medical Imaging and Radiation Sciences2 citations
Semantic Scholar
Dynamic PET Reconstruction Utilizing a Spatiotemporal 4D De-noising Kernel
J. Cheng, C. Bevington, A. Rahmim, I. Klyuzhin +3 more
2018Nuclear Science Symposium and Medical Imaging Conference2 citations Open access
Semantic Scholar
Development of a digital unrestrained mouse phantom with non-periodic deformable motion
I. Klyuzhin, G. Stortz, V. Sossi
2015Nuclear Science Symposium and Medical Imaging Conference2 citations
Semantic Scholar
Feasibility of using geometric descriptors of tracer distribution for disease assessment
I. Klyuzhin, E. Shahinfard, Marjorie E. Gonzalez, V. Sossi
2014Nuclear Science Symposium and Medical Imaging Conference2 citations
Semantic Scholar
Application of texture analysis to DaTscan images for enhanced assessment of progression in Parkinson’s disease
A. Rahmim, Y. Salimpour, Saurabh Jain, S. Blinder +4 more
20161 citations
Semantic Scholar
Optimized Haralick Texture Quantification to Track Parkinson’s Disease Progression from DAT SPECT Images
A. Rahmim, Y. Salimpour, S. Blinder, I. Klyuzhin +1 more
20161 citations
Semantic Scholar
Deformable motion correction and spatial image analysis in positron emission tomography
I. Klyuzhin
20161 citations
Semantic Scholar
PET image reconstruction with correction for non-periodic deformable motion!
I. Klyuzhin, G. Stortz, V. Sossi
2014Nuclear Science Symposium and Medical Imaging Conference1 citations
Semantic Scholar
Fully-automated segmentation of the striatum in the PET/MR images using data fusion
I. Klyuzhin, Marjorie E. Gonzalez, V. Sossi
2012Nuclear Science Symposium and Medical Imaging Conference1 citations
Semantic Scholar

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