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12/02/2022
Hybrid adiabatic quantum computing for tomographic image reconstruction – opportunities and limitations
Our goal is to reconstruct tomographic images with few measurements and ...
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10/14/2020
Efficient and high accuracy 3-D OCT angiography motion correction in pathology
We propose a novel method for non-rigid 3-D motion correction of orthogo...
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01/08/2020
Deep OCT Angiography Image Generation for Motion Artifact Suppression
Eye movements, blinking and other motion during the acquisition of optic...
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07/19/2019
Fast and robust detection of solar modules in electroluminescence images
Fast, non-destructive and on-site quality control tools, mainly high sen...
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07/03/2019
Learning with Known Operators reduces Maximum Training Error Bounds
We describe an approach for incorporating prior knowledge into machine l...
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04/30/2019
PYRO-NN: Python Reconstruction Operators in Neural Networks
Purpose: Recently, several attempts were conducted to transfer deep lear...
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02/12/2018
Temporal and Volumetric Denoising via Quantile Sparse Image (QuaSI) Prior in Optical Coherence Tomography and Beyond
This paper introduces an universal and structure-preserving regularizati...
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09/08/2017
Benchmarking Super-Resolution Algorithms on Real Data
Over the past decades, various super-resolution (SR) techniques have bee...
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03/08/2017