Seamless Virtual Whole Slide Image Synthesis and Validation Using Perceptual Embedding Consistency
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Nassir Navab | Shadi Albarqouni | Amal Lahiani | Eldad Klaiman | Irina Klaman | Shadi Albarqouni | N. Navab | I. Klaman | Eldad Klaiman | Amal Lahiani
[1] Yibo Zhang,et al. PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning , 2018, Light: Science & Applications.
[2] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[3] Joe W. Gray,et al. SHIFT: speedy histopathological-to-immunofluorescent translation of whole slide images using conditional generative adversarial networks , 2018, Medical Imaging.
[4] Nassir Navab,et al. Virtualization of tissue staining in digital pathology using an unsupervised deep learning approach , 2018, ECDP.
[5] M. McHugh. Interrater reliability: the kappa statistic , 2012, Biochemia medica.
[6] Nicolas Brieu,et al. DASGAN - Joint Domain Adaptation and Segmentation for the Analysis of Epithelial Regions in Histopathology PD-L1 Images , 2019, ArXiv.
[7] S. Umeyama,et al. Least-Squares Estimation of Transformation Parameters Between Two Point Patterns , 1991, IEEE Trans. Pattern Anal. Mach. Intell..
[8] Daniel S Gareau,et al. Feasibility of digitally stained multimodal confocal mosaics to simulate histopathology. , 2009, Journal of biomedical optics.
[9] Navid Borhani,et al. Digital staining through the application of deep neural networks to multi-modal multi-photon microscopy. , 2019, Biomedical optics express.
[10] Janne Heikkilä,et al. Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[11] Hidekata Hontani,et al. Re-staining Pathology Images by FCNN , 2019, 2019 16th International Conference on Machine Vision Applications (MVA).
[12] K. Gwet. Inter-Rater Reliability: Dependency on Trait Prevalence and Marginal Homogeneity , 2002 .
[13] Rebecca Richards-Kortum,et al. Confocal fluorescence microscopy for rapid evaluation of invasive tumor cellularity of inflammatory breast carcinoma core needle biopsies , 2014, Breast Cancer Research and Treatment.
[14] Aman Rana,et al. Computational Histological Staining and Destaining of Prostate Core Biopsy RGB Images with Generative Adversarial Neural Networks , 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).
[15] Samuel J. Yang,et al. In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images , 2018, Cell.
[16] Nassir Navab,et al. Staingan: Stain Style Transfer for Digital Histological Images , 2018, 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019).
[17] Li Fei-Fei,et al. Perceptual Losses for Real-Time Style Transfer and Super-Resolution , 2016, ECCV.
[18] Leon A. Gatys,et al. Image Style Transfer Using Convolutional Neural Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[19] Bruce R. Rosen,et al. Image reconstruction by domain-transform manifold learning , 2017, Nature.
[20] A. Madabhushi,et al. Histopathological Image Analysis: A Review , 2009, IEEE Reviews in Biomedical Engineering.
[21] Samy Bengio,et al. Revisiting Distributed Synchronous SGD , 2016, ArXiv.
[22] Adam Finkelstein,et al. PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[23] Andrea Vedaldi,et al. Instance Normalization: The Missing Ingredient for Fast Stylization , 2016, ArXiv.
[24] Thomas Kelly,et al. Fibroblast activation protein-α: a key modulator of the microenvironment in multiple pathologies. , 2012, International review of cell and molecular biology.
[25] Oliver Grimm,et al. Enabling Histopathological Annotations on Immunofluorescent Images through Virtualization of Hematoxylin and Eosin , 2018, Journal of pathology informatics.
[26] Martin J. Yaffe,et al. Automated multi-class ground-truth labeling of H&E images for deep learning using multiplexed fluorescence microscopy , 2019, Medical Imaging.
[27] Gregory R. Johnson,et al. Label-free prediction of three-dimensional fluorescence images from transmitted light microscopy , 2018, Nature Methods.
[28] Geert J. S. Litjens,et al. Stain-Transforming Cycle-Consistent Generative Adversarial Networks for Improved Segmentation of Renal Histopathology , 2018, MIDL.
[29] 拓海 杉山,et al. “Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks”の学習報告 , 2017 .
[30] M. Rajadhyaksha,et al. Confocal mosaicing microscopy of human skin ex vivo: spectral analysis for digital staining to simulate histology-like appearance. , 2011, Journal of biomedical optics.
[31] Michael Gadermayr,et al. Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images , 2018, MICCAI.
[32] Inbar Mosseri,et al. XGAN: Unsupervised Image-to-Image Translation for many-to-many Mappings , 2017, Domain Adaptation for Visual Understanding.
[33] James G. Fujimoto,et al. Assessment of breast pathologies using nonlinear microscopy , 2014, Proceedings of the National Academy of Sciences.
[34] Zhou Wang,et al. Complex Wavelet Structural Similarity: A New Image Similarity Index , 2009, IEEE Transactions on Image Processing.
[35] Qianni Zhang,et al. GAN-based Virtual Re-Staining: A Promising Solution for Whole Slide Image Analysis , 2019, ArXiv.
[36] A. Ozcan,et al. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning , 2018, Nature Biomedical Engineering.
[37] Shizuo Kaji,et al. Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging , 2019, Radiological Physics and Technology.
[38] Nassir Navab,et al. Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer , 2019, MICCAI.
[39] Joachim Hornegger,et al. Virtual Hematoxylin and Eosin Transillumination Microscopy Using Epi-Fluorescence Imaging , 2016, PloS one.
[40] Nasir M. Rajpoot,et al. A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution , 2014, IEEE Transactions on Biomedical Engineering.