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Connection

Joyita Dutta to Positron-Emission Tomography

This is a "connection" page, showing publications Joyita Dutta has written about Positron-Emission Tomography.
Connection Strength

3.135
  1. Song TA, Yang F, Dutta J. Noise2Void: unsupervised denoising of PET images. Phys Med Biol. 2021 11 01; 66(21).
    View in: PubMed
    Score: 0.654
  2. Meikle SR, Sossi V, Roncali E, Cherry SR, Banati R, Mankoff D, Jones T, James M, Sutcliffe J, Ouyang J, Petibon Y, Ma C, El Fakhri G, Surti S, Karp JS, Badawi RD, Yamaya T, Akamatsu G, Schramm G, Rezaei A, Nuyts J, Fulton R, Kyme A, Lois C, Sari H, Price J, Boellaard R, Jeraj R, Bailey DL, Eslick E, Willowson KP, Dutta J. Quantitative PET in the 2020s: a roadmap. Phys Med Biol. 2021 03 12; 66(6):06RM01.
    View in: PubMed
    Score: 0.626
  3. Song TA, Chowdhury SR, Yang F, Dutta J. PET image super-resolution using generative adversarial networks. Neural Netw. 2020 May; 125:83-91.
    View in: PubMed
    Score: 0.580
  4. Dutta J, Huang C, Li Q, El Fakhri G. Pulmonary imaging using respiratory motion compensated simultaneous PET/MR. Med Phys. 2015 Jul; 42(7):4227-40.
    View in: PubMed
    Score: 0.421
  5. Dutta J, Leahy RM, Li Q. Non-local means denoising of dynamic PET images. PLoS One. 2013; 8(12):e81390.
    View in: PubMed
    Score: 0.378
  6. Balaji V, Song TA, Malekzadeh M, Heidari P, Dutta J. Artificial Intelligence for PET and SPECT Image Enhancement. J Nucl Med. 2024 01 02; 65(1):4-12.
    View in: PubMed
    Score: 0.190
  7. Liu J, Malekzadeh M, Mirian N, Song TA, Liu C, Dutta J. Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement. PET Clin. 2021 Oct; 16(4):553-576.
    View in: PubMed
    Score: 0.163
  8. Yang J, Hu C, Guo N, Dutta J, Vaina LM, Johnson KA, Sepulcre J, Fakhri GE, Li Q. Partial volume correction for PET quantification and its impact on brain network in Alzheimer's disease. Sci Rep. 2017 10 12; 7(1):13035.
    View in: PubMed
    Score: 0.123
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.