354 citations · 564 across the 13 of their papers we have counts for
13 papers
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…
Virtual Staining of Label-Free Tissue in Imaging Mass Spectrometry
Yijie Zhang, Luzhe Huang, Nir Pillar +5
Imaging mass spectrometry (IMS) is a powerful tool for untargeted, highly multiplexed molecular mapping of tissue in biomedical research. IMS offers a means of mapping the spatial…
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…
Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning
Cagatay Isil, Hatice Ceylan Koydemir, Merve Eryilmaz +8
Gram staining has been one of the most frequently used staining protocols in microbiology for over a century, utilized across various fields, including diagnostics, food safety, an…
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…
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…
Virtual histological staining of unlabeled autopsy tissue
Yuzhu Li, Nir Pillar, Jingxi Li +12
Histological examination is a crucial step in an autopsy; however, the traditional histochemical staining of post-mortem samples faces multiple challenges, including the inferior s…
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…