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20062025
most citedLearning to see through multimode fibers

407 citations · 2.3k across the 53 of their papers we have counts for

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physics.optics2025

High resolution Fluorescence lifetime IMaging Micro-Endoscopy (FLIMME) using a single multimode fiber

Victoria Fay, Ye Pu, Omer Tzang +6

Endoscopic optical imaging using a single multimode fiber (MMF) has emerged as a promising approach for highly compact, minimally invasive, and high-resolution imaging. Unlike conv…

physics.optics2025

Training Hybrid Neural Networks with Multimode Optical Nonlinearities Using Digital Twins

Ilker Oguz, Louis J. E. Suter, Jih-Liang Hsieh +4

The ability to train ever-larger neural networks brings artificial intelligence to the forefront of scientific and technical discoveries. However, their exponentially increasing si…

physics.optics2024

Optical Diffusion Models for Image Generation

Ilker Oguz, Niyazi Ulas Dinc, Mustafa Yildirim +6

Diffusion models generate new samples by progressively decreasing the noise from the initially provided random distribution. This inference procedure generally utilizes a trained n…

physics.optics2024

Second-harmonic optical diffraction tomography

Amirhossein Saba, Carlo Gigli, Ye Pu +1

Optical diffraction tomography (ODT) has emerged as an important label-free tool in biomedicine to measure the three-dimensional (3D) structure of a biological sample. In this pape…

physics.optics2024

Programming the scalable optical learning operator with spatial-spectral optimization

Yi Zhou, Jih-Liang Hsieh, Ilker Oguz +6

Electronic computers have evolved drastically over the past years with an ever-growing demand for improved performance. However, the transfer of information from memory and high en…

physics.optics2024★ 3 cited

Multicasting Optical Reconfigurable Switch

Niyazi Ulas Dinc, Mustafa Yildirim, Ilker Oguz +2

Artificial Intelligence (AI) demands large data flows within datacenters, heavily relying on multicasting data transfers. As AI models scale, the requirement for high-bandwidth and…