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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Virtual Stain Transfer in Histology via Cascaded Deep Neural Networks
Xilin Yang, Bijie Bai, Yijie Zhang, et al.
ACS Photonics (2022) Vol. 9, Iss. 9, pp. 3134-3143
Open Access | Times Cited: 24

Showing 24 citing articles:

Deep learning-enabled virtual histological staining of biological samples
Bijie Bai, Xilin Yang, Yuzhu Li, et al.
Light Science & Applications (2023) Vol. 12, Iss. 1
Open Access | Times Cited: 135
An end-to-end workflow for nondestructive 3D pathology
Kevin W. Bishop, Lindsey A. Barner, Qinghua Han, et al.
Nature Protocols (2024) Vol. 19, Iss. 4, pp. 1122-1148
Closed Access | Times Cited: 9
Dual contrastive learning based image-to-image translation of unstained skin tissue into virtually stained H&E images
Muhammad Zeeshan Asaf, Babar Rao, Muhammad Usman Akram, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Virtual staining for histology by deep learning
Leena Latonen, Sonja Koivukoski, Umair Khan, et al.
Trends in biotechnology (2024) Vol. 42, Iss. 9, pp. 1177-1191
Open Access | Times Cited: 9
AI-driven 3D bioprinting for regenerative medicine: From bench to bedside
Huajin Zhang, Xianhao Zhou, Yongcong Fang, et al.
Bioactive Materials (2024) Vol. 45, pp. 201-230
Closed Access | Times Cited: 6
Computational pathology: A comprehensive review of recent developments in digital and intelligent pathology
Qinqin Huang, Sean M. Wu, Zhenyu Ou, et al.
(2025)
Closed Access
Comparison of deep learning models for digital H&E staining from unpaired label-free multispectral microscopy images
Jesús Salido, Noelia Vállez, González-López Lucía, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 235, pp. 107528-107528
Open Access | Times Cited: 11
Digital staining in optical microscopy using deep learning - a review
Lucas Kreiß, Shaowei Jiang, Xiang Li, et al.
PhotoniX (2023) Vol. 4, Iss. 1
Open Access | Times Cited: 11
Every Pixel Has Its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization
Ming-Yang Ho, Che-Ming Wu, Min-Sheng Wu, et al.
Lecture notes in computer science (2024), pp. 312-328
Closed Access | Times Cited: 3
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, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Virtual tissue staining in pathology using machine learning
Nir Pillar, Aydogan Özcan
Expert Review of Molecular Diagnostics (2022) Vol. 22, Iss. 11, pp. 987-989
Closed Access | Times Cited: 12
An end-to-end workflow for non-destructive 3D pathology
Kevin W. Bishop, Lindsey A. Barner, Qinghua Han, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7
Label-Free Analysis of Organelle Interactions Using Organelle-Specific Phase Contrast Microscopy (OS-PCM)
Jingde Fang, Hao Zhang, Yang Pan, et al.
ACS Photonics (2023)
Closed Access | Times Cited: 6
AV-GAN: Attention-Based Varifocal Generative Adversarial Network for Uneven Medical Image Translation
Zexin Li, Yiyang Lin, Zijie Fang, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 23, pp. 1-8
Closed Access | Times Cited: 1
Unsupervised Multiple Virtual Histological Staining from Label-Free Autofluorescence Images
Lulin Shi, Ivy H. M. Wong, Claudia T. K. Lo, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-5
Closed Access | Times Cited: 2
Digital staining in optical microscopy using deep learning -- a review
Lucas Kreiß, Shaowei Jiang, Xiang Li, et al.
arXiv (Cornell University) (2023)
Open Access | Times Cited: 2
Inspiring a convergent engineering approach to measure and model the tissue microenvironment
Rishyashring R. Iyer, Catherine C. Applegate, Opeyemi H. Arogundade, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32546-e32546
Open Access
From Pixels to Information: Artificial Intelligence in Fluorescence Microscopy
Seungjae Han, Joshua Yedam You, Minho Eom, et al.
Advanced Photonics Research (2024) Vol. 5, Iss. 9
Open Access
Evaluation of tumor budding with virtual panCK stains generated by novel multi-model CNN framework
Xingzhong Hou, Zhen Guan, Xianwei Zhang, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 257, pp. 108352-108352
Closed Access
Single color digital H&E staining with In-and-Out Net
Mengkun Chen, Yen-Tung Liu, Fadeel Sher Khan, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 118, pp. 102468-102468
Open Access
Versatile Stain Transfer in Histopathology Using a Unified Diffusion Framework
Xudong Yan, Mingze Yuan, Yao Lu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
sPhaseStation: a whole slide quantitative phase imaging system based on dual-view transport of intensity phase microscopy
Lin Zhu, Zhibo Xiao, Chao Chen, et al.
Applied Optics (2023) Vol. 62, Iss. 8, pp. 1886-1886
Closed Access | Times Cited: 1
MulHiST: Multiple Histological Staining for Thick Biological Samples via Unsupervised Image-to-Image Translation
Lulin Shi, Yan Zhang, Ivy H. M. Wong, et al.
Lecture notes in computer science (2023), pp. 735-744
Closed Access | Times Cited: 1
Deep-learning-based cross-modality translation from Stokes image to bright-field contrast
Shilong Wei, Lu Si, Tongyu Huang, et al.
Journal of Biomedical Optics (2023) Vol. 28, Iss. 10
Open Access | Times Cited: 1
Dual Contrastive Learning based Image-to-Image Translation of Unstained Skin Tissue into Virtually Stained H&E Images
Muhammad Zeeshan Asaf, Babar Rao, Muhammad Usman Akram, et al.
Research Square (Research Square) (2023)
Open Access
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