A Poisson-Gaussian Denoising Dataset With Real Fluorescence Microscopy Images. - Yide Zhang; Yinhao Zhu; Evan L. Nichols; Qingfei Wang; Siyuan Zhang; Cody J. Smith; Scott S. Howard (CVPR, 2019)

Machine learning for faster and smarter fluorescence lifetime imaging microscopy. - Varun Mannam; Yide Zhang; Xiaotong Yuan; Cara Ravasio; Scott S. Howard (CoRR, 2020)

Packet Compressed Sensing Imaging (PCSI): Robust Image Transmission over Noisy Channels. - Scott S. Howard; Grant Barthelmes; Cara Ravasio; Lisa Huang; Benjamin Poag; Varun Mannam (CoRR, 2020)

Deep learning-based super-resolution fluorescence microscopy on small datasets. - Varun Mannam; Yide Zhang; Xiaotong Yuan; Scott S. Howard (CoRR, 2021)

Convolutional Neural Network Denoising in Fluorescence Lifetime Imaging Microscopy (FLIM). - Varun Mannam; Yide Zhang; Xiaotong Yuan; Takashi Hato; Pierre C. Dagher; Evan L. Nichols; Cody J. Smith; Kenneth W. Dunn; Scott S. Howard (CoRR, 2021)

Low dosage 3D volume fluorescence microscopy imaging using compressive sensing. - Varun Mannam; Jacob Brandt; Cody J. Smith; Scott S. Howard (CoRR, 2022)

Improving fluorescence lifetime imaging microscopy phasor accuracy using convolutional neural networks. - Varun Mannam; Jacob Brandt; Cody J. Smith; Xiaotong Yuan; Scott S. Howard (Frontiers Bioinform., 2023)

Zero-Shot Denoising for Fluorescence Lifetime Imaging Microscopy with Intensity-Guided Learning. - Hao Chen; Julian Najera; Dagmawit Geresu; Meenal Datta; Cody J. Smith; Scott S. Howard (CVPR Workshops, 2025)