activity
20202026
most citedDeep Learning-enabled Virtual Histological Staining of Biological Samples

354 citations · 963 across the 27 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

cs.CV2025

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…

cs.CV2025★ 1 cited

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…

physics.med-ph2025★ 3 cited

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…

physics.optics2025★ 8 cited

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…

physics.optics2025★ 1 cited

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…