Joyita Dutta, Ph.D.
Affiliations: | Electrical Engineering | University of Southern California, Los Angeles, CA, United States |
Area:
MEG, EEG, PET, Optical Imaging, image AnalysisGoogle:
"Joyita Dutta"Mean distance: 16.75 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Richard M. Leahy | grad student | 2011 | USC | |
| (Computational methods for fluorescence molecular tomography.) | ||||
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Publications
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| Balaji V, Song TA, Malekzadeh M, et al. (2023) Artificial Intelligence for PET and SPECT Image Enhancement. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine |
| Saboury B, Bradshaw T, Boellaard R, et al. (2022) Artificial Intelligence in Nuclear Medicine: Opportunities, Challenges, and Responsibilities Toward a Trustworthy Ecosystem. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine |
| Bradshaw TJ, Boellaard R, Dutta J, et al. (2021) Nuclear Medicine and Artificial Intelligence: Best Practices for Algorithm Development. Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine |
| Song TA, Yang F, Dutta J. (2021) Noise2Void: unsupervised denoising of PET images. Physics in Medicine and Biology. 66 |
| Liu J, Malekzadeh M, Mirian N, et al. (2021) Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement. Pet Clinics. 16: 553-576 |
| Meikle SR, Sossi V, Roncali E, et al. (2020) Quantitative PET in the 2020s: A Roadmap. Physics in Medicine and Biology |
| Song TA, Chowdhury SR, Yang F, et al. (2020) PET image super-resolution using generative adversarial networks. Neural Networks : the Official Journal of the International Neural Network Society. 125: 83-91 |
| Song TA, Chowdhury SR, Yang F, et al. (2020) Super-Resolution PET Imaging Using Convolutional Neural Networks. Ieee Transactions On Computational Imaging. 6: 518-528 |
| Song TA, Yang F, Chowdhury SR, et al. (2019) PET Image Deblurring and Super-Resolution with an MR-Based Joint Entropy Prior. Ieee Transactions On Computational Imaging. 5: 530-539 |
| Song TA, Roy Chowdhury S, Yang F, et al. (2019) GRAPH CONVOLUTIONAL NEURAL NETWORKS FOR ALZHEIMER'S DISEASE CLASSIFICATION. Proceedings. Ieee International Symposium On Biomedical Imaging. 2019: 414-417 |