This page shows the publications co-authored by Joyita Dutta and Tzu-Hsi Song.
Noise2Void: unsupervised denoising of PET images. Phys Med Biol. 2021 Nov 01; 66(21).
A physics-informed geometric learning model for pathological tau spread in Alzheimer's disease. Med Image Comput Comput Assist Interv. 2020 Oct; 12267:418-427.
PET image super-resolution using generative adversarial networks. Neural Netw. 2020 May; 125:83-91.
Super-Resolution PET Imaging Using Convolutional Neural Networks. IEEE Trans Comput Imaging. 2020; 6:518-528.
GRAPH CONVOLUTIONAL NEURAL NETWORKS FOR ALZHEIMER'S DISEASE CLASSIFICATION. Proc IEEE Int Symp Biomed Imaging. 2019 Apr; 2019:414-417.
PET Image Deblurring and Super-Resolution with an MR-Based Joint Entropy Prior. IEEE Trans Comput Imaging. 2019 Dec; 5(4):530-539.
Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement. PET Clin. 2021 Oct; 16(4):553-576.
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.