Conference presentations

2019

I. S. Klyuzhin, C. Bevington, J.-C. Cheng, V. Sossi, “Identification of transient neurotransmitter response using anomaly detection framework”, 2019 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) Conference, Manchester, United Kingdom, 2019 (accepted).

J.-C. Cheng, C. Bevington, I. Klyuzhin, V. Sossi, “Simultaneously improving accuracy and precision within dynamic kernelized PET reconstruction”, 2019 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) Conference, Manchester, United Kingdom, 2019 (accepted).

J. F. Fu, M. Matarazzo, I. Klyuzhin, J.-C. Cheng, C. Bevington, J. McKenzie, N. Neilson, E. Shahinfard, M. J. McKeown, A. J. Stoessl, V. Sossi, “Relative preservation of serotonergic function increases response to treatment in early PD”, International Congress of Parkinson’s Disease and Movement Disorders, 2019, Nice, France (accepted);

I. S. Klyuzhin, C. Bevington, J.-C. Cheng, V. Sossi, “Use of deep learning and physics simulations for personalized medical image enhancement”, Deep Learning and Reinforcement Learning Summer School, 2019, Edmonton, AB (accepted).

J. Kim, S. Seo, S. Ashrafinia, A. Rahmim, V. Sossi, I. S. Klyuzhin, “Training of deep convolutional neural nets to extract radiomic signatures of tumors”, Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting, 2019, Anaheim, CA, USA;

M. Matarazzo, I. Klyuzhin, J. A. Pineda-Pardo, Z. Anderson, J. McKenzie, N. Neilson, J. A. Obeso, V. Sossi, A. J. Stoessl, “Dopaminergic denervation in people with PD is higher in the striatal region corresponding to the upper limb”, World Parkinson Congress, 2019, Kyoto, Japan.

M. R. Salmanpour, M. Shamsaee, A. Saberi Manesh, S. Setayeshi, I. S. Klyuzhin, V. Sossi, A. Rahmim, “Optimized machine learning methods for prediction of cognitive outcome in Parkinson’s disease”, Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting, 2019, Anaheim, CA, USA;

J. F. Fu, M. Matarazzo, I. Klyuzhin, B. Reber, J.-C. Cheng, C. Bevington, J. McKenzie, N. Neilson, E. Shahinfard, M. J. McKeown, A. J. Stoessl, V. Sossi, “Joint multimodal analysis revealed complementary spatial patterns of dopaminergic and serotonergic interactions related to levodopa response in parkinson’s disease”, Brain \& Brain PET 2019, Yokohama, Japan;

J. F. Fu, I. Klyuzhin, J. McKenzie, N. Neilson, E. Shahinfard, K. Dinelle, M. J. McKeown, A. J. Stoessl, V. Sossi, “Joint pattern analysis applied to PET DAT and VMAT2 imaging reveals new insights into Parkinson’s disease induced presynaptic alterations”, Brain \& Brain PET 2019, Yokohama, Japan;

2018

I. S. Klyuzhin, J.-C. Cheng, C. Bevington, V. Sossi, “Use of a 4D Deep Autoencoder to Denoise Dynamic PET Data”, 2018 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) Conference Record, Sydney, Australia, 2018. https://www.eventclass.org/contxt_ieee2018/online-program/session?s=M-14#e733

J.-C. Cheng, C. W. J. Bevington, A. Rahmim, I. S. Klyuzhin, J. Matthews, R. Boellaard, V. Sossi, “Dynamic PET reconstruction utilizing a spatiotemporal 4D de-noising kernel”, 2018 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) Conference Record, Sydney, Australia, 2018.

C. W. J. Bevington, J.-C. Cheng, I. S. Klyuzhin, V. Sossi, “De-noising and DA release: effect of denoising on the ability to identify voxel level neurophysiological response”, 2018 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) Conference Record, Sydney, Australia, 2018.

M. R. Salmanpour, M. Shamsaee, A. Saberi Manesh, S. Setayeshi, E. Taherinezhad, I. S. Klyuzhin, J. Tang, V. Sossi, A. Rahmim, “Machine learning methods for optimal prediction of outcome in Parkinson’s disease”, 2018 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) Conference Record, Sydney, Australia, 2018.

K. H. Leung, M. R. Salmanpour, A. S. Manesh, I. S. Klyuzhin, V. Sossi, A. K. Jha, M. G. Pomper, Y. Du, A. Rahmim, “Using deep-learning to predict outcome of patients with Parkinson’s disease”, 2018 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) Conference Record, Sydney, Australia, 2018.

J. Fu, I. Klyzhin, E. Shahinfard, J. Mckenzie, N. Neilson, T. Baumeise, S. McCormick, J.-C. Cheng, A. Felicio, M. McKeown, A. J. Stoessl, V. Sossi, “Clinical Correlates of Complementary Spatial Patterns in [11]C-DTBZ, [11]C-MP, [11]C-RAC, and [11]C-DASB PET Images Revealed by Multiset Canonical Correlation Analysis in Parkinson’s Disease”, Proc. Intl. Symp. on Functional Neuroreceptor Mapping of the Living Brain (NRM), London, UK, July 2018.

I. S. Klyuzhin, N. Shenkov, A. Rahmim, V. Sossi, “Use of deep convolutional neural networks to predict Parkinson’s disease progression from DaTscan SPECT images”, Society of Nuclear Medicine and Molecular Imaging Annual Meeting, Philadelphia, PA, USA; J. Nucl. Med., vol. 59 (suppl. 1): 29, 2018. http://jnm.snmjournals.org/content/59/supplement_1/29

2017

I. Klyuzhin, N. Vafai, E. Shahinfard, V. Sossi, “The impact of parameter bound selection in the simplified reference tissue method on the accuracy and quality of parametric images”, 2017 Society of Nuclear Medicine and Molecular Imaging Annual Meeting, Denver, CO, USA; J Nucl Med.,vol. 58 (suppl. 1): 359, 2017. http://jnm.snmjournals.org/content/58/supplement_1/359

N. Shenkov, I. Klyuzhin, S. Fotouhi, E. Davoodi-Bojd, H. Soltanian-Zadeh, A. Rahmim, V. Sossi, “A metric to quantify DaTSCAN tracer uptake in subjects with Parkinson’s disease computed without MRI-based regions of interest”, 2017 Society of Nuclear Medicine and Molecular Imaging Annual Meeting, Denver, CO, USA; J. Nucl. Med., vol. 58 (suppl. 1): 291, 2017. http://jnm.snmjournals.org/cgi/content/long/58/supplement_1/291

I. Klyuzhin, J. Fu, N. Shenkov, N. Vafai, E. Shahinfard, J. McKenzie, N. Neilson, K. Dinelle, M. Sacheli, J. Stoessl, A. Rahmim, V. Sossi, “Striatal Neurodegeneration Patterns in Parkinson’s Disease Identified using PET Imaging and PCA”, 2017 Organization of Human Brain Mapping Annual Meeting, Vancouver, BC, Canada.

J. Fu, I. Klyuzhin, S. Liu, E. Shahinfard, N. Vafai, N. Heffernan, J. Mckenzie, M. Sacheli, H. F. Wehrl, M. J. McKeown, A. J. Stoessl, V. Sossi, “Altered Serotonergic Network Connectivity in Parkinson’s Disease and LRRK2 Mutation Subjects”, 2017 Organization of Human Brain Mapping Annual Meeting, Vancouver, BC, Canada.

I. Klyuzhin, M. Sacheli, N. Vafai, E. Shahinfard, B. Lakhani, J. Neva, J. Fu, J. McKenzie, N. Neilson, K. Dinelle, L. Boyd, A. Stoessl, V. Sossi, “Correlation analysis between dopamine release in striatal sub-regions and motor impairment in Parkinson’s disease subjects”, 2017 International Congress of Parkinson’s Disease and Movement Disorders, Vancouver, BC, Canada; Mov Disord. 2017; 32 (suppl 2). http://www.mdsabstracts.org/abstract/correlation-analysis-between-dopamine-release-in-striatal-sub-regions-and-motor-impairment-in-parkinsons-disease-subjects/

N. Shenkov, I. Klyuzhin, A. Rahmim, V. Sossi, “A neuroimaging-based model for disease progression in Parkinson’s disease”, 2017 International Congress of Parkinson’s Disease and Movement Disorders, Vancouver, BC, Canada; Mov Disord. 2017; 32 (suppl 2). http://www.mdsabstracts.org/abstract/a-neuroimaging-based-model-for-disease-progression-in-parkinsons-disease/

2016

M. A. Sacheli, B. Lakhani, J. L. Neva, D. K. Murray, N. Vafai, J. McKenzie, N. Neilson, K. Dinelle, I. S. Klyuzhin, L. A. Boyd, V. Sossi, A. J. Stoessl, “Aerobic exercise can induce dopamine release in Parkinson’s disease: [11C]Raclopride PET study“, 2016 Neuroscience Meeting, Program No. 415.28. San Diego, CA: Society for Neuroscience, Nov 14, 2016.

I. Klyuzhin, J. Fu, N. Shenkov, A. Rahmim, V. Sossi, “Sub-regional pattern analysis of heterogeneous PET tracer distribution employed for disease assessment”, 2016 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) Conference Record, Strasbourg, France, Nov 2, 2016.

I. Klyuzhin, V. Sossi, “Nuclear Emission-based Imaging in the Study of Brain Function”, Fall Meeting of the APS Division of Nuclear Physics, Vancouver, BC, Oct 16, 2016.

J. Fu, N. Vafai, E. Shahinfard, N. M. Neilson, J. Mckenzie, R. Mabrouk, I. Klyuzhin, A. J. Stoessl, V. Sossi, “Investigation of Parkinson’s Disease Related Covariance Pattern in the Serotonergic System using [11C]-DASB/PET“, Proc. Intl. Symp. on Functional Neuroreceptor Mapping of the Living Brain (NRM), Boston, MA, Jul 15, 2016.

R. Mabrouk, I. Klyuzhin, E. Shahinfard, N. Vafai, J. Fu, S. Blinder, M. Walker, A. Rahmim, V. Sossi, “Exploring feature-based approaches to assess neuroinflammation in patients with Parkinson’s disease: a PBR28 PET imaging study“, Proc. Intl. Symp. on Functional Neuroreceptor Mapping of the Living Brain (NRM), Boston, MA, Jul 14, 2016.

A. Rahmim, Y. Salimpour, S. Jain, S. Blinder, I. Klyuzhin, G. Smith, Z. Mari, and V. Sossi, “Application of texture analysis to DaTscan images for enhanced assessment of progression in Parkinson’s disease“, Annual Meeting of the Society of Nuclear Medicine & Molecular Imaging (SNMMI), San Diego, CA, Jun 11-15, 2016. http://jnm.snmjournals.org/content/57/supplement_2/73

A. Rahmim, Y. Salimpour, S. Blinder, I. Klyuzhin, V. Sossi, “Optimized Haralick texture quantification to track Parkinson’s disease progression from DAT SPECT images“, Annual Meeting of the Society of Nuclear Medicine & Molecular Imaging (SNMMI), San Diego, CA, Jun 11-15, 2016. http://jnm.snmjournals.org/content/57/supplement_2/

2015

I. Klyuzhin, G. Stortz, V. Sossi, “Development of a Digital Unrestrained Mouse Phantom with Non-Periodic Deformable Motion”, 2015 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) Conference Record, San Diego, CA, Nov 6, 2015.

I. S. Klyuzhin, S. Blinder, R. Mabrouk, A. Rahmim, V. Sossi, “Investigation of Texture Quantification Parameters for Neurological PET Image Analysis”, 2015 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) Conference Record, San Diego, CA, Nov 4, 2015.

I. Klyuzhin, M. Sadeghi, V. Sossi, M. S. Atkins, “Comparison of the spatial heterogeneity features for classification of dermoscopic lesion images”, World Dermatology Congress, Vancouver, BC, Jun 6, 2015.

I. Klyuzhin, M. Razmara, N. Hazar, V. Sossi, M. Sadeghi, “Feasibility of using 3D body visualization on smartphones for personalized mapping of skin lesions”, World Dermatology Congress, Vancouver, BC, Jun 8, 2015. http://eblue.org/article/S0190-9622(15)00487-9/abstract

A. Benam, M. Sadeghi, I. S. Klyuzhin, M. S. Atkins, “A hybrid color and structure analysis for automated detection of arborising vessels in dermoscopy images“, World Dermatology Congress, Vancouver, BC, Jun 8, 2015.

I. Klyuzhin, M. Sadeghi, V. Sossi, M. S. Atkins, “Evaluation of methods to quantify color non-uniformity in dermoscopic images“, World Dermoscopy Congress, Vienna, Apr 16, 2015.

A. Benam, M. Sadeghi, I. Klyuzhin, M. S. Atkins, “DermSocial: Dermoscopy made social: a mobile and web tool for dermoscopy training and practice“, World Dermoscopy Congress, Vienna, April 16, 2015.

I. Klyuzhin, M. Sadeghi, S. Atkins, V. Sossi, “Using Moment Invariants as Measures of Lesion Color Asymmetry“, 2015 American Academy of Dermatology Annual Meeting, San Francisco, CA, May 8, 2015.

2014

G. Stortz, M. D. Walker, I. Klyuzhin, V. Sossi, “Advanced Arc Correction to Improve Sinogram Consistency and Increase Contrast in Analytic and Statistical PET Reconstruction“, 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Record, Seattle, WA, Nov 8, 2014.

I. S. Klyuzhin, E. Shahinfard, M. Gonzalez, V. Sossi, “Feasibility of Using Geometric Descriptors of Tracer Distribution for Disease Assessment“, 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Record, Seattle, WA, Nov 8, 2014.

S. A. L. Blinder, I. Klyuzhin, M. E. Gonzalez, A. Rahmim, V. Sossi, “Texture and Shape Analysis on High and Low Spatial Resolution Emission Images“, 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Record, Seattle, WA, Nov 8, 2014.

I. S. Klyuzhin, G. Stortz, V. Sossi, “PET Image Reconstruction with Correction for Non-periodic Deformable Motion“, 2014 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Record, Seattle, WA, Nov 8, 2014.

2013

I. Klyuzhin, M. Gonzalez, V. Sossi, “Investigating the effect of inter-modality ROI shape on the correlation between clinical and image-derived data in PET studies of Parkinson’s disease“, Annual Meeting of the Society of Nuclear Medicine & Molecular Imaging (SNMMI), Vancouver, BC, May 1, 2013.

2012

I.S. Klyuzhin, M. Gonzalez, V. Sossi, “Fully-Automated Segmentation of the Striatum in the PET/MR Images Using Data Fusion“, 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Record, Anaheim, CA, Oct 27, 2012.

2011

I. S. Klyuzhin, K. Dinelle, V. Sossi, “PET Image Reconstruction and Motion Correction using Direct Backprojection on Point Grids and Clouds“, 2011 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Record, Valencia, Spain, Oct 23, 2011.

I. S. Klyuzhin, V. Sossi, “PET Image Reconstruction Using Point-Based Filtered Backprojection“, 2011 Joint AAPM/COMP Meeting, Vancouver, BC, Jul 31, 2011.

2008

B. Chai, I. Klyuzhin, L. Marshall, K. Nagornyak, K. Ovchinnikova, R. Stahlberg, A. Wexler, H. Yoo, Q. Zhao, G. H. Pollack, “Unexpectedly critical role of hydrophilic surfaces on nearby water“, 3rd Annual Conference on the Physics, Chemistry and Biology of Water, West Dover, VT, Oct 16, 2008.

B. Chai, I. S. Klyuzhin, L. Marshall, K. Nagornyak, K. Ovchinnikova, R. Stahlberg, A. Wexler, H. Yoo, Q. Zhao, G. H. Pollack, “Long-range water Structuring at Hydrophilic Interfaces“, Third Annual Conference on the Physics, Chemistry and Biology of Water, West Dover, VT, Oct 16, 2008.

2005

F. Blyakhman, I. Klyuzhin, G. Pollack, A. Safronov, T. Shklyar, “Possible role of the cytoskeleton in creating the cell’s electrochemical potential: a synthetic gel model“, 4th world Congress of Cellular and Molecular Biology, Poitiers, France, October 07 – 12, 2005.