Photon-Limited fluorescence lifetime imaging microscopy signal recovery with known bounds. - Omar DeGuchy; Lasith Adhikari; Arnold D. Kim; Roummel F. Marcia (CAMSAP, 2017)

Trust-Region Minimization Algorithm for Training Responses (TRMinATR): The Rise of Machine Learning Techniques. - Jacob Rafati; Omar DeGuchy; Roummel F. Marcia (EUSIPCO, 2018)

Compact representation of the full Broyden class of quasi-Newton updates. - Omar DeGuchy; Jennifer B. Erway; Roummel F. Marcia (Numer. Linear Algebra Appl., 2018)

Deep Neural Networks for Low-resolution Photon-limited Imaging. - Omar DeGuchy; Fabian Santiago; Mario Banuelos; Roummel F. Marcia (ICASSP, 2019)

Related Inference: A Supervised Learning Approach to Detect Signal Variation in Genome Data. - Mario Banuelos; Omar DeGuchy; Suzanne Sindi; Roummel F. Marcia (EUSIPCO, 2020)

Image Classification in Synthetic Aperture Radar Using Reconstruction from Learned Inverse Scattering. - Jacqueline Alvarez; Omar DeGuchy; Roummel F. Marcia (IGARSS, 2020)

Deep Convolutional Autoencoders for Deblurring and Denoising Low-Resolution Images. - Michael Fernando Mendez Jimenez; Omar DeGuchy; Roummel F. Marcia (ISITA, 2020)

Large-Scale Optimization and Deep Learning Techniques for Data-Driven Signal Processing. - Omar DeGuchy (2020)

Multi-Stage Gaussian Noise Reduction with Recurrent Neural Networks. - Aditya Ranganath; Omar DeGuchy; Mukesh Singhal; Roummel F. Marcia (ACSCC, 2021)

Second-Order Trust-Region Optimization for Data-Limited Inference. - Aditya Ranganath; Omar DeGuchy; Mukesh Singhal; Roummel F. Marcia (EUSIPCO, 2021)

Recurrent Nerual Imaging: An Evolutionary Approach for Mixed Possion-Gaussian Image Denoising. - Aditya Ranganath; Omar DeGuchy; Fabian Santiago; Mukesh Singhal; Roummel F. Marcia (ICMLA, 2022)

Signal Reconstructions for ECG-Transmembrane Voltage Potentials Using Transformers. - Jocelyn Ornelas Munoz; Gbocho M. Terasaki; Aditya Ranganath; Omar DeGuchy; Roummel F. Marcia (ISBI, 2025)