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Jong Woo Kim, Marc Messerschmidt and William S. Graves
We present a deep learning-based generative model for the enhancement of partially coherent diffractive images. In lensless coherent diffractive imaging, a highly coherent X-ray illumination is required to image an object at high resolution. Non-ideal ex...
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Priya Karthikeyan, Sadegh Moradi, Hany Ferdinando, Zuomin Zhao and Teemu Myllylä
Functional near-infrared spectroscopy (fNIRS) has been utilized already around three decades for monitoring the brain, in particular, oxygenation changes in the cerebral cortex. In addition, other optical techniques are currently developed for in vivo im...
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Bruno González-Soria, Francisco Delgado and Alan Anaya-Morales
Developments in ultrafast-spectroscopy techniques have revealed notably long-lived quantum coherence between electronic states in Fenna?Matthews?Olson complex bacteriochlorophylls, a group of molecules setting a nanoscale structure responsible of the coh...
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Luisa Sánchez Brea, Danilo Andrade De Jesus, Muhammad Faizan Shirazi, Michael Pircher, Theo van Walsum and Stefan Klein
Motion artefacts from involuntary changes in eye fixation remain a major imaging issue in optical coherence tomography (OCT). This paper reviews the state-of-the-art of retrospective procedures to correct retinal motion and axial eye motion artefacts in ...
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Jens Bürger,Jorge Calvimontes
Dictionary Learning (DL) is a feature learning method that derives a finite collection of dictionary elements (atoms) from a given dataset. These atoms are small characteristic features representing recurring patterns within the data. A dictionary theref...
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