98 citations · 128 across the 13 of their papers we have counts for
4 papers · 1 filter
Deep-3D Microscope: 3D volumetric microscopy of thick scattering samples using a wide-field microscope and machine learning
Bowen Li, Shiyu Tan, Jiuyang Dong +4
Confocal microscopy is the standard approach for obtaining volumetric images of a sample with high axial and lateral resolution, especially when dealing with scattering samples. Un…
Thermal Image Processing via Physics-Inspired Deep Networks
Vishwanath Saragadam, Akshat Dave, Ashok Veeraraghavan +1
We introduce DeepIR, a new thermal image processing framework that combines physically accurate sensor modeling with deep network-based image representation. Our key enabling obser…
CodedStereo: Learned Phase Masks for Large Depth-of-field Stereo
Shiyu Tan, Yicheng Wu, Shoou-I Yu +1
Conventional stereo suffers from a fundamental trade-off between imaging volume and signal-to-noise ratio (SNR) -- due to the conflicting impact of aperture size on both these vari…
High Resolution, Deep Imaging Using Confocal Time-of-flight Diffuse Optical Tomography
Yongyi Zhao, Ankit Raghuram, Hyun K. Kim +3
Light scattering by tissue severely limits how deep beneath the surface one can image, and the spatial resolution one can obtain from these images. Diffuse optical tomography (DOT)…