8 papers
Universal Function Approximation via Diffractive Optical Processors: Physical Limits, Error Bounds, and Learnability
Md Sadman Sakib Rahman, Che-Yung Shen, Aydogan Ozcan
We present a unified theoretical framework connecting classical universal approximation theory, Fourier-feature approximation, and diffractive optical processors. We show that phas…
Wavelength-multiplexed massively parallel diffractive optical information storage and image projection
Che-Yung Shen, Yuhang Li, Cagatay Isil +7
We introduce a wavelength-multiplexed massively parallel diffractive information storage platform composed of dielectric surfaces that are structurally optimized at the wavelength…
Automated HER2 scoring with uncertainty quantification using lensfree holography and deep learning
Che-Yung Shen, Xilin Yang, Yuzhu Li +2
Accurate assessment of human epidermal growth factor receptor 2 (HER2) expression is critical for breast cancer diagnosis, prognosis, and therapy selection; yet, most existing digi…
Snapshot 3D image projection using a diffractive decoder
Cagatay Isil, Alexander Chen, Yuhang Li +4
3D image display is essential for next-generation volumetric imaging; however, dense depth multiplexing for 3D image projection remains challenging because diffraction-induced cros…
Detection and imaging of chemicals and hidden explosives using terahertz time-domain spectroscopy and deep learning
Xinghe Jiang, Yuhang Li, Yuzhu Li +3
Detecting concealed chemicals and explosives remains a critical challenge in global security. Terahertz time-domain spectroscopy (THz-TDS) offers a promising non-invasive and stand…
Universal and Transferable Attacks on Pathology Foundation Models
Yuntian Wang, Xilin Yang, Che-Yung Shen +2
We introduce Universal and Transferable Adversarial Perturbations (UTAP) for pathology foundation models that reveal critical vulnerabilities in their capabilities. Optimized using…