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Environmental Science & Technology|September 5, 2008
New method of water purification based on the particle-exclusion phenomenonIvan Klyuzhin, Andrew Symonds, Jeffrey Magula, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|July 7, 2011
Unexpected water flow through Nafion-tube puncturesColin O'Rourke, Ivan Klyuzhin, Ji Sun Park, et al.
PET Clinics|September 19, 2021
Radiomics in PET Imaging:: A Practical Guide for NewcomersFanny Orlhac, Christophe Nioche, Ivan Klyuzhin, et al.
Medical Physics|February 3, 2021
Dynamic PET image reconstruction utilizing intrinsic data-driven HYPR4D denoising kernelJu-Chieh Kevin Cheng, Connor Bevington, Arman Rahmim, et al.
EJNMMI Physics|November 21, 2024
Impact of cell geometry, cellular uptake region, and tumour morphology on <sup>225</sup>Ac and <sup>177</sup>Lu dose distributions in prostate cancerCassandra Miller, Ivan Klyuzhin, Guillaume Chaussé, et al.
AJR. American Journal of Roentgenology|August 20, 2025
Physician-in-the-Loop Active Learning in Radiology Artificial Intelligence Workflows: Opportunities, Challenges, and Future DirectionsMonica Luo, Fereshteh Yousefirizi, Pouria Rouzrokh, et al.
Computers in Biology and Medicine|April 10, 2023
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice lossYixi Xu, Ivan Klyuzhin, Sara Harsini, et al.
Neuroimage. Clinical|May 16, 2019
Joint pattern analysis applied to PET DAT and VMAT2 imaging reveals new insights into Parkinson's disease induced presynaptic alterationsJessie Fanglu Fu, Ivan Klyuzhin, Jessamyn McKenzie, et al.
Neuroimage. Clinical|June 28, 2018
Investigation of serotonergic Parkinson's disease-related covariance pattern using [<sup>11</sup>C]-DASB/PETJessie Fanglu Fu, Ivan Klyuzhin, Shuying Liu, et al.
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