354 citations · 963 across the 27 of their papers we have counts for
27 papers
Interleaved diffractive networks for information transfer through random diffusers
Yuhang Li, Yiyang Wu, Shiqi Chen +2
Transferring optical information through random diffusers is a critical yet challenging task. In this work, we introduce a cascaded diffractive optical network for information tran…
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…
Autonomous labeling of surgical resection margins using a foundation model
Xilin Yang, Musa Aydin, Yuhong Lu +9
Assessing resection margins is central to pathological specimen evaluation and has profound implications for patient outcomes. Current practice employs physical inking, which is ap…
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…
Deep learning-enabled virtual multiplexed immunostaining of label-free tissue for vascular invasion assessment
Yijie Zhang, Cagatay Isil, Xilin Yang +6
Immunohistochemistry (IHC) has transformed clinical pathology by enabling the visualization of specific proteins within tissue sections. However, traditional IHC requires one tissu…
Massively parallel and universal approximation of nonlinear functions using diffractive processors
Md Sadman Sakib Rahman, Yuhang Li, Xilin Yang +2
Nonlinear computation is essential for a wide range of information processing tasks, yet implementing nonlinear functions using optical systems remains a challenge due to the weak…
Snapshot multi-spectral imaging through defocusing and a Fourier imager network
Xilin Yang, Michael John Fanous, Hanlong Chen +6
Multi-spectral imaging, which simultaneously captures the spatial and spectral information of a scene, is widely used across diverse fields, including remote sensing, biomedical im…
Broadband Unidirectional Visible Imaging Using Wafer-Scale Nano-Fabrication of Multi-Layer Diffractive Optical Processors
Che-Yung Shen, Paolo Batoni, Xilin Yang +6
We present a broadband and polarization-insensitive unidirectional imager that operates at the visible part of the spectrum, where image formation occurs in one direction while in…
Label-free evaluation of lung and heart transplant biopsies using tissue autofluorescence-based virtual staining
Yuzhu Li, Nir Pillar, Tairan Liu +12
Organ transplantation serves as the primary therapeutic strategy for end-stage organ failures. However, allograft rejection is a common complication of organ transplantation. Histo…
Unidirectional imaging with partially coherent light
Guangdong Ma, Che-Yung Shen, Jingxi Li +8
Unidirectional imagers form images of input objects only in one direction, e.g., from field-of-view (FOV) A to FOV B, while blocking the image formation in the reverse direction, f…
An insertable glucose sensor using a compact and cost-effective phosphorescence lifetime imager and machine learning
Artem Goncharov, Zoltan Gorocs, Ridhi Pradhan +12
Optical continuous glucose monitoring (CGM) systems are emerging for personalized glucose management owing to their lower cost and prolonged durability compared to conventional ele…
Automated HER2 Scoring in Breast Cancer Images Using Deep Learning and Pyramid Sampling
Sahan Yoruc Selcuk, Xilin Yang, Bijie Bai +12
Human epidermal growth factor receptor 2 (HER2) is a critical protein in cancer cell growth that signifies the aggressiveness of breast cancer (BC) and helps predict its prognosis.…
Virtual birefringence imaging and histological staining of amyloid deposits in label-free tissue using autofluorescence microscopy and deep learning
Xilin Yang, Bijie Bai, Yijie Zhang +8
Systemic amyloidosis is a group of diseases characterized by the deposition of misfolded proteins in various organs and tissues, leading to progressive organ dysfunction and failur…
Multiplexed all-optical permutation operations using a reconfigurable diffractive optical network
Guangdong Ma, Xilin Yang, Bijie Bai +8
Large-scale and high-dimensional permutation operations are important for various applications in e.g., telecommunications and encryption. Here, we demonstrate the use of all-optic…
Subwavelength Imaging using a Solid-Immersion Diffractive Optical Processor
Jingtian Hu, Kun Liao, Niyazi Ulas Dinc +14
Phase imaging is widely used in biomedical imaging, sensing, and material characterization, among other fields. However, direct imaging of phase objects with subwavelength resoluti…
Complex-valued universal linear transformations and image encryption using spatially incoherent diffractive networks
Xilin Yang, Md Sadman Sakib Rahman, Bijie Bai +2
As an optical processor, a Diffractive Deep Neural Network (D2NN) utilizes engineered diffractive surfaces designed through machine learning to perform all-optical information proc…
Pyramid diffractive optical networks for unidirectional image magnification and demagnification
Bijie Bai, Xilin Yang, Tianyi Gan +4
Diffractive deep neural networks (D2NNs) are composed of successive transmissive layers optimized using supervised deep learning to all-optically implement various computational ta…
Universal Linear Intensity Transformations Using Spatially-Incoherent Diffractive Processors
Md Sadman Sakib Rahman, Xilin Yang, Jingxi Li +2
Under spatially-coherent light, a diffractive optical network composed of structured surfaces can be designed to perform any arbitrary complex-valued linear transformation between…
Data class-specific all-optical transformations and encryption
Bijie Bai, Heming Wei, Xilin Yang +2
Diffractive optical networks provide rich opportunities for visual computing tasks since the spatial information of a scene can be directly accessed by a diffractive processor with…
Deep Learning-enabled Virtual Histological Staining of Biological Samples
Bijie Bai, Xilin Yang, Yuzhu Li +3
Histological staining is the gold standard for tissue examination in clinical pathology and life-science research, which visualizes the tissue and cellular structures using chromat…
Virtual stain transfer in histology via cascaded deep neural networks
Xilin Yang, Bijie Bai, Yijie Zhang +4
Pathological diagnosis relies on the visual inspection of histologically stained thin tissue specimens, where different types of stains are applied to bring contrast to and highlig…
Few-shot Transfer Learning for Holographic Image Reconstruction using a Recurrent Neural Network
Luzhe Huang, Xilin Yang, Tairan Liu +1
Deep learning-based methods in computational microscopy have been shown to be powerful but in general face some challenges due to limited generalization to new types of samples and…
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning
Bijie Bai, Hongda Wang, Yuzhu Li +14
The immunohistochemical (IHC) staining of the human epidermal growth factor receptor 2 (HER2) biomarker is widely practiced in breast tissue analysis, preclinical studies and diagn…
Deep-learning-based recognition of multi-singularity structured light
Hao Wang, Xilin Yang, Zeqi Liu +8
Structured light with customized complex topological pattern inspires diverse classical and quantum investigations underpinned by accurate detection techniques. However, the curren…