48 citations · 118 across the 13 of their papers we have counts for
13 papers
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…
Pixel Super-Resolved Fluorescence Lifetime Imaging Using Deep Learning
Paloma Casteleiro Costa, Parnian Ghapandar Kashani, Xuhui Liu +5
Fluorescence lifetime imaging microscopy (FLIM) is a powerful quantitative technique that provides metabolic and molecular contrast, offering strong translational potential for lab…
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…
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…
Optical Generative Models
Shiqi Chen, Yuhang Li, Hanlong Chen +1
Generative models cover various application areas, including image, video and music synthesis, natural language processing, and molecular design, among many others. As digital gene…
Deep Learning-based Detection of Bacterial Swarm Motion Using a Single Image
Yuzhu Li, Hao Li, Weijie Chen +6
Distinguishing between swarming and swimming, the two principal forms of bacterial movement, holds significant conceptual and clinical relevance. This is because bacteria that exhi…
Pixel super-resolved virtual staining of label-free tissue using diffusion models
Yijie Zhang, Luzhe Huang, Nir Pillar +3
Virtual staining of tissue offers a powerful tool for transforming label-free microscopy images of unstained tissue into equivalents of histochemically stained samples. This study…
BlurryScope enables compact, cost-effective scanning microscopy for HER2 scoring using deep learning on blurry images
Michael John Fanous, Christopher Michael Seybold, Hanlong Chen +2
We developed a rapid scanning optical microscope, termed "BlurryScope", that leverages continuous image acquisition and deep learning to provide a cost-effective and compact soluti…
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…
Multi-scale Conditional Generative Modeling for Microscopic Image Restoration
Luzhe Huang, Xiongye Xiao, Shixuan Li +4
The advance of diffusion-based generative models in recent years has revolutionized state-of-the-art (SOTA) techniques in a wide variety of image analysis and synthesis tasks, wher…
A robust and scalable framework for hallucination detection in virtual tissue staining and digital pathology
Luzhe Huang, Yuzhu Li, Nir Pillar +3
Histopathological staining of human tissue is essential for disease diagnosis. Recent advances in virtual tissue staining technologies using artificial intelligence (AI) alleviate…
Neural Network-Based Processing and Reconstruction of Compromised Biophotonic Image Data
Michael John Fanous, Paloma Casteleiro Costa, Cagatay Isil +2
The integration of deep learning techniques with biophotonic setups has opened new horizons in bioimaging. A compelling trend in this field involves deliberately compromising certa…