Talks

Reliable deep learning for quantitative biomedical imaging

• Deep learning based phase imaging with uncertainty quantification, ISBI 2020
• Towards scalable and reliable deep learning based phase microscopy using intensity-only measurements, SPIE BiOS 2020
• Towards reliable deep learning based phase microscopy, SPIE BiOS 2020
• Learning approach to computational microscopy, SPIE BiOS 2019
• A deep learning approach to high space-bandwidth product phase microscopy with coded illumination, SPIE BiOS 2019

Intensity diffraction tomography for multi-scale label-free imaging

• Model and Learning Strategies for Computational 3D phase microscopy, IEEE SPACE Webinar 2021.
• Computational illumination for high-throughput intensity diffraction tomography of dynamic biological samples, SPIE BiOS 2020
• Computational imaging in complex media,  SPIE Commercial + Scientific Sensing and Imaging, 2018

Reflection-mode intensity diffraction tomography

• Intensity-only reflection quantitative phase imaging for biological sample characterization, SPIE BiOS 2019

Imaging in Scattering Media

• Imaging through diffusers with extended depth of field using a deep neural network, ICCP 2020
• Deep learning based computational microscopy in scattering media, SPIE BiOS 2020
• Learning speckle correlations for imaging through scattering, SPIE Defense + Commercial Sensing, 2019
• A one-for-all deep learning approach for imaging through diffusers, SPIE BiOS 2019

Deep learning for neurophotonics

• A generalizable deep-learning approach to anatomical modeling of brain vasculature, SPIE BiOS, 2020.