Klyuzhin IS[au] - Search Results

Year	Number of Results
2010	1
2015	1
2016	2
2017	1
2018	1
2019	4
2020	5
2021	2
2022	3

1

A Monte Carlo approach for improving transient dopamine release detection sensitivity.

Bevington CW, Cheng JK, Klyuzhin IS, Cherkasova MV, Winstanley CA, Sossi V. Bevington CW, et al. Among authors: klyuzhin is. J Cereb Blood Flow Metab. 2021 Jan;41(1):116-131. doi: 10.1177/0271678X20905613. Epub 2020 Feb 12. J Cereb Blood Flow Metab. 2021. PMID: 32050828 Free PMC article.

2

Detection of transient neurotransmitter response using personalized neural networks.

Klyuzhin IS, Bevington CWJ, Cheng JK, Sossi V. Klyuzhin IS, et al. Phys Med Biol. 2020 Dec 18;65(23):235004. doi: 10.1088/1361-6560/abc230. Phys Med Biol. 2020. PMID: 33065566

3

Design of an anthropomorphic PET phantom with elastic lungs and respiration modeling.

Black DG, Yazdi YO, Wong J, Fedrigo R, Uribe C, Kadrmas DJ, Rahmim A, Klyuzhin IS. Black DG, et al. Among authors: klyuzhin is. Med Phys. 2021 Aug;48(8):4205-4217. doi: 10.1002/mp.14998. Epub 2021 Jun 29. Med Phys. 2021. PMID: 34031896

4

Machine learning methods for optimal prediction of motor outcome in Parkinson's disease.

Salmanpour MR, Shamsaei M, Saberi A, Klyuzhin IS, Tang J, Sossi V, Rahmim A. Salmanpour MR, et al. Among authors: klyuzhin is. Phys Med. 2020 Jan;69:233-240. doi: 10.1016/j.ejmp.2019.12.022. Epub 2020 Jan 7. Phys Med. 2020. PMID: 31918375

5

Use of a Tracer-Specific Deep Artificial Neural Net to Denoise Dynamic PET Images.

Klyuzhin IS, Cheng JC, Bevington C, Sossi V. Klyuzhin IS, et al. IEEE Trans Med Imaging. 2020 Feb;39(2):366-376. doi: 10.1109/TMI.2019.2927199. Epub 2019 Jul 5. IEEE Trans Med Imaging. 2020. PMID: 31283475

6

Optimized machine learning methods for prediction of cognitive outcome in Parkinson's disease.

Salmanpour MR, Shamsaei M, Saberi A, Setayeshi S, Klyuzhin IS, Sossi V, Rahmim A. Salmanpour MR, et al. Among authors: klyuzhin is. Comput Biol Med. 2019 Aug;111:103347. doi: 10.1016/j.compbiomed.2019.103347. Epub 2019 Jun 28. Comput Biol Med. 2019. PMID: 31284154

7

Clinical Application of Artificial Intelligence in Positron Emission Tomography: Imaging of Prostate Cancer.

Ma K, Harmon SA, Klyuzhin IS, Rahmim A, Turkbey B. Ma K, et al. Among authors: klyuzhin is. PET Clin. 2022 Jan;17(1):137-143. doi: 10.1016/j.cpet.2021.09.002. PET Clin. 2022. PMID: 34809863 Review.

8

Novel data-driven, equation-free method captures spatio-temporal patterns of neurodegeneration in Parkinson's disease: Application of dynamic mode decomposition to PET.

Fu JF, Klyuzhin IS, McKeown MJ, Stoessl AJ, Sossi V. Fu JF, et al. Among authors: klyuzhin is. Neuroimage Clin. 2020;25:102150. doi: 10.1016/j.nicl.2019.102150. Epub 2019 Dec 27. Neuroimage Clin. 2020. PMID: 31901793 Free PMC article.

9

Artificial Neural Network-Based Prediction of Outcome in Parkinson's Disease Patients Using DaTscan SPECT Imaging Features.

Tang J, Yang B, Adams MP, Shenkov NN, Klyuzhin IS, Fotouhi S, Davoodi-Bojd E, Lu L, Soltanian-Zadeh H, Sossi V, Rahmim A. Tang J, et al. Among authors: klyuzhin is. Mol Imaging Biol. 2019 Dec;21(6):1165-1173. doi: 10.1007/s11307-019-01334-5. Mol Imaging Biol. 2019. PMID: 30847821

10

Persisting water droplets on water surfaces.

Klyuzhin IS, Ienna F, Roeder B, Wexler A, Pollack GH. Klyuzhin IS, et al. J Phys Chem B. 2010 Nov 11;114(44):14020-7. doi: 10.1021/jp106899k. J Phys Chem B. 2010. PMID: 20961076 Free PMC article.

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