Estimating Sea Ice Concentration From SAR: Training Convolutional Neural Networks With Passive Microwave Data. - Colin L. V. Cooke; Katharine Andrea Scott (IEEE Trans. Geosci. Remote. Sens., 2019)

Towards an Intelligent Microscope: Adaptively Learned Illumination for Optimal Sample Classification. - Amey Chaware; Colin L. V. Cooke; Kanghyun Kim; Roarke Horstmeyer (ICASSP, 2020)

Multi-element microscope optimization by a learned sensing network with composite physical layers. - Kanghyun Kim; Pavan Chandra Konda; Colin L. V. Cooke; Ron Appel; Roarke Horstmeyer (CoRR, 2020)

Mesoscopic Photogrammetry With an Unstabilized Phone Camera. - Kevin C. Zhou; Colin L. V. Cooke; Jaehee Park; Ruobing Qian; Roarke Horstmeyer; Joseph A. Izatt; Sina Farsiu (CVPR, 2021)

Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. - Colin L. V. Cooke; Fanjie Kong; Amey Chaware; Kevin C. Zhou; Kanghyun Kim; Rong Xu; D. Michael Ando; Samuel J. Yang; Pavan Chandra Konda; Roarke Horstmeyer (ICCV, 2021)

Increasing a microscope's effective field of view via overlapped imaging and machine learning. - Xing Yao; Vinayak Pathak; Haoran Xi; Amey Chaware; Colin L. V. Cooke; Kanghyun Kim; Shiqi Xu; Yuting Li; Timothy Dunn; Pavan Chandra Konda; Kevin C. Zhou; Roarke Horstmeyer (CoRR, 2021)

Evaluation of U-Net Based Architectures for Automatic Aortic Dissection Segmentation. - Bradley Feiger; Erick Lorenzana-Saldivar; Colin L. V. Cooke; Roarke Horstmeyer; Muath Bishawi; Julie Doberne; G. Chad Hughes; David Ranney; Soraya Voigt; Amanda Randles (ACM Trans. Comput. Heal., 2022)