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Ivan S Klyuzhin

Showing results (1-10 of 24) with videos related to

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IEEE Transactions on Medical Imaging|March 14, 2017
PET Image Reconstruction and Deformable Motion Correction Using Unorganized Point CloudsIvan S Klyuzhin, Vesna Sossi
Journal of Medical Imaging and Radiation Sciences|August 29, 2024
From code sharing to sharing of implementations: Advancing reproducible AI development for medical imaging through federated testingFereshteh Yousefirizi, Annudesh Liyanage, Ivan S Klyuzhin, et al.
IEEE Transactions on Medical Imaging|July 9, 2019
Use of a Tracer-Specific Deep Artificial Neural Net to Denoise Dynamic PET ImagesIvan S Klyuzhin, Ju-Chieh Cheng, Connor Bevington, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|December 15, 2015
Exploring the use of shape and texture descriptors of positron emission tomography tracer distribution in imaging studies of neurodegenerative diseaseIvan S Klyuzhin, Marjorie Gonzalez, Elham Shahinfard, et al.
The Journal of Physical Chemistry. B|October 22, 2010
Persisting water droplets on water surfacesIvan S Klyuzhin, Federico Ienna, Brandon Roeder, et al.
PET Clinics|November 23, 2021
Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate CancerKevin Ma, Stephanie A Harmon, Ivan S Klyuzhin, et al.
Physics in Medicine and Biology|October 16, 2020
Detection of transient neurotransmitter response using personalized neural networksIvan S Klyuzhin, Connor W J Bevington, Ju-Chieh Kevin Cheng, et al.
Neuroimage. Clinical|January 6, 2020
Novel data-driven, equation-free method captures spatio-temporal patterns of neurodegeneration in Parkinson's disease: Application of dynamic mode decomposition to PETJessie Fanglu Fu, Ivan S Klyuzhin, Martin J McKeown, et al.
Computer Methods and Programs in Biomedicine|April 5, 2022
Testing the Ability of Convolutional Neural Networks to Learn Radiomic FeaturesIvan S Klyuzhin, Yixi Xu, Anthony Ortiz, et al.
Medical Physics|August 6, 2023
PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT imagesIvan S Klyuzhin, Guillaume Chaussé, Ingrid Bloise, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Medical Imaging|March 14, 2017
PET Image Reconstruction and Deformable Motion Correction Using Unorganized Point CloudsIvan S Klyuzhin, Vesna Sossi
Journal of Medical Imaging and Radiation Sciences|August 29, 2024
From code sharing to sharing of implementations: Advancing reproducible AI development for medical imaging through federated testingFereshteh Yousefirizi, Annudesh Liyanage, Ivan S Klyuzhin, et al.
IEEE Transactions on Medical Imaging|July 9, 2019
Use of a Tracer-Specific Deep Artificial Neural Net to Denoise Dynamic PET ImagesIvan S Klyuzhin, Ju-Chieh Cheng, Connor Bevington, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|December 15, 2015
Exploring the use of shape and texture descriptors of positron emission tomography tracer distribution in imaging studies of neurodegenerative diseaseIvan S Klyuzhin, Marjorie Gonzalez, Elham Shahinfard, et al.
The Journal of Physical Chemistry. B|October 22, 2010
Persisting water droplets on water surfacesIvan S Klyuzhin, Federico Ienna, Brandon Roeder, et al.
PET Clinics|November 23, 2021
Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate CancerKevin Ma, Stephanie A Harmon, Ivan S Klyuzhin, et al.
Physics in Medicine and Biology|October 16, 2020
Detection of transient neurotransmitter response using personalized neural networksIvan S Klyuzhin, Connor W J Bevington, Ju-Chieh Kevin Cheng, et al.
Neuroimage. Clinical|January 6, 2020
Novel data-driven, equation-free method captures spatio-temporal patterns of neurodegeneration in Parkinson's disease: Application of dynamic mode decomposition to PETJessie Fanglu Fu, Ivan S Klyuzhin, Martin J McKeown, et al.
Computer Methods and Programs in Biomedicine|April 5, 2022
Testing the Ability of Convolutional Neural Networks to Learn Radiomic FeaturesIvan S Klyuzhin, Yixi Xu, Anthony Ortiz, et al.
Medical Physics|August 6, 2023
PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT imagesIvan S Klyuzhin, Guillaume Chaussé, Ingrid Bloise, et al.
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