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eess.IV2019
A deep learning framework for morphologic detail beyond the diffraction limit in infrared spectroscopic imaging
Kianoush Falahkheirkhah, Kevin Yeh, Shachi Mittal +2
Infrared (IR) microscopes measure spectral information that quantifies molecular content to assign the identity of biomedical cells but lack the spatial quality of optical microsco…
eess.IV2019
Composition-Aware Spectroscopic Tomography
Luke Pfister, Rohit Bhargava, Yoram Bresler +1
Chemical imaging provides information about the distribution of chemicals within a target. When combined with structural information about the target, in situ chemical imaging open…
eess.IV2019
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks
Bihan Wen, Saiprasad Ravishankar, Luke Pfister +1
Magnetic resonance imaging (MRI) is widely used in clinical practice, but it has been traditionally limited by its slow data acquisition. Recent advances in compressed sensing (CS)…