Klyuzhin IS - Search Results

1

PSMA-Hornet: Fully-automated, multi-target segmentation of healthy organs in PSMA PET/CT images.

Klyuzhin IS, Chaussé G, Bloise I, Harsini S, Ferres JL, Uribe C, Rahmim A. Klyuzhin IS, et al. Med Phys. 2024 Feb;51(2):1203-1216. doi: 10.1002/mp.16658. Epub 2023 Aug 6. Med Phys. 2024. PMID: 37544015

2

PET Image Reconstruction and Deformable Motion Correction Using Unorganized Point Clouds.

Klyuzhin IS, Sossi V. Klyuzhin IS, et al. IEEE Trans Med Imaging. 2017 Jun;36(6):1263-1275. doi: 10.1109/TMI.2017.2675989. Epub 2017 Mar 2. IEEE Trans Med Imaging. 2017. PMID: 28287962

3

Application of texture analysis to DAT SPECT imaging: Relationship to clinical assessments.

Rahmim A, Salimpour Y, Jain S, Blinder SA, Klyuzhin IS, Smith GS, Mari Z, Sossi V. Rahmim A, et al. Among authors: klyuzhin is. Neuroimage Clin. 2016 Feb 23;12:e1-e9. doi: 10.1016/j.nicl.2016.02.012. eCollection 2016. Neuroimage Clin. 2016. PMID: 27995072 Free PMC article.

4

Data-driven, voxel-based analysis of brain PET images: Application of PCA and LASSO methods to visualize and quantify patterns of neurodegeneration.

Klyuzhin IS, Fu JF, Hong A, Sacheli M, Shenkov N, Matarazzo M, Rahmim A, Stoessl AJ, Sossi V. Klyuzhin IS, et al. PLoS One. 2018 Nov 5;13(11):e0206607. doi: 10.1371/journal.pone.0206607. eCollection 2018. PLoS One. 2018. PMID: 30395576 Free PMC article.

5

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

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

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

8

Dynamic PET image reconstruction utilizing intrinsic data-driven HYPR4D denoising kernel.

Cheng JK, Bevington C, Rahmim A, Klyuzhin I, Matthews J, Boellaard R, Sossi V. Cheng JK, et al. Med Phys. 2021 May;48(5):2230-2244. doi: 10.1002/mp.14751. Epub 2021 Mar 22. Med Phys. 2021. PMID: 33533050

9

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

10

Radiomics in PET Imaging:: A Practical Guide for Newcomers.

Orlhac F, Nioche C, Klyuzhin I, Rahmim A, Buvat I. Orlhac F, et al. PET Clin. 2021 Oct;16(4):597-612. doi: 10.1016/j.cpet.2021.06.007. PET Clin. 2021. PMID: 34537132 Review.

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