| Year |
Citation |
Score |
| 2023 |
Volpe G, Wählby C, Tian L, Hecht M, Yakimovich A, Monakhova K, Waller L, Sbalzarini IF, Metzler CA, Xie M, Zhang K, Lenton ICD, Rubinsztein-Dunlop H, Brunner D, Bai B, ... ... Rivenson Y, et al. Roadmap on Deep Learning for Microscopy. Arxiv. PMID 36945686 |
0.307 |
|
| 2022 |
Rivenson Y, Ozcan A. Deep learning accelerates whole slide imaging for next-generation digital pathology applications. Light, Science & Applications. 11: 300. PMID 36241615 DOI: 10.1038/s41377-022-00999-y |
0.305 |
|
| 2022 |
Mengu D, Veli M, Rivenson Y, Ozcan A. Classification and reconstruction of spatially overlapping phase images using diffractive optical networks. Scientific Reports. 12: 8446. PMID 35589729 DOI: 10.1038/s41598-022-12020-y |
0.346 |
|
| 2021 |
Zhang Y, Liu T, Singh M, Çetintaş E, Luo Y, Rivenson Y, Larin KV, Ozcan A. Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data. Light, Science & Applications. 10: 155. PMID 34326306 DOI: 10.1038/s41377-021-00594-7 |
0.444 |
|
| 2021 |
Li J, Mengu D, Yardimci NT, Luo Y, Li X, Veli M, Rivenson Y, Jarrahi M, Ozcan A. Spectrally encoded single-pixel machine vision using diffractive networks. Science Advances. 7. PMID 33771863 DOI: 10.1126/sciadv.abd7690 |
0.339 |
|
| 2021 |
Huang L, Chen H, Luo Y, Rivenson Y, Ozcan A. Recurrent neural network-based volumetric fluorescence microscopy. Light, Science & Applications. 10: 62. PMID 33753716 DOI: 10.1038/s41377-021-00506-9 |
0.393 |
|
| 2020 |
Zhang Y, de Haan K, Rivenson Y, Li J, Delis A, Ozcan A. Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue. Light, Science & Applications. 9: 78. PMID 32411363 DOI: 10.1038/S41377-020-0315-Y |
0.353 |
|
| 2020 |
Mengu D, Zhao Y, Yardimci NT, Rivenson Y, Jarrahi M, Ozcan A. Misalignment resilient diffractive optical networks Nanophotonics. 9: 4207-4219. DOI: 10.1515/Nanoph-2020-0291 |
0.313 |
|
| 2020 |
Wu Y, Rivenson Y, Wang H, Luo Y, Ben-David E, Bentolila LA, Pritz C, Ozcan A. Deep Learning-based Virtual Refocusing of Fluorescence Microscopy Images for Neuron Imaging in 3D Brain. DOI: 10.1364/Brain.2020.Bw4C.6 |
0.427 |
|
| 2020 |
Mengu D, Luo Y, Rivenson Y, Ozcan A. Analysis of Diffractive Optical Neural Networks and Their Integration With Electronic Neural Networks Ieee Journal of Selected Topics in Quantum Electronics. 26: 1-14. DOI: 10.1109/Jstqe.2019.2921376 |
0.304 |
|
| 2020 |
de Haan K, Rivenson Y, Wu Y, Ozcan A. Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy Proceedings of the Ieee. 108: 30-50. DOI: 10.1109/JPROC.2019.2949575 |
0.337 |
|
| 2019 |
Luo Y, Mengu D, Yardimci NT, Rivenson Y, Veli M, Jarrahi M, Ozcan A. Design of task-specific optical systems using broadband diffractive neural networks. Light, Science & Applications. 8: 112. PMID 31814969 DOI: 10.1038/S41377-019-0223-1 |
0.306 |
|
| 2019 |
Wu Y, Rivenson Y, Wang H, Luo Y, Ben-David E, Bentolila LA, Pritz C, Ozcan A. Three-dimensional virtual refocusing of fluorescence microscopy images using deep learning. Nature Methods. PMID 31686039 DOI: 10.1038/S41592-019-0622-5 |
0.5 |
|
| 2019 |
Rivenson Y, Wu Y, Ozcan A. Deep learning in holography and coherent imaging. Light, Science & Applications. 8: 85. PMID 31645929 DOI: 10.1038/S41377-019-0196-0 |
0.507 |
|
| 2019 |
Bai B, Wang H, Liu T, Rivenson Y, FitzGerald J, Ozcan A. Pathological crystal imaging with single-shot computational polarized light microscopy. Journal of Biophotonics. e201960036. PMID 31483948 DOI: 10.1002/Jbio.201960036 |
0.397 |
|
| 2019 |
de Haan K, Ballard ZS, Rivenson Y, Wu Y, Ozcan A. Resolution enhancement in scanning electron microscopy using deep learning. Scientific Reports. 9: 12050. PMID 31427691 DOI: 10.1038/S41598-019-48444-2 |
0.48 |
|
| 2019 |
Liu T, Wei Z, Rivenson Y, de Haan K, Zhang Y, Wu Y, Ozcan A. Deep learning-based color holographic microscopy. Journal of Biophotonics. e201900107. PMID 31309728 DOI: 10.1002/Jbio.201900107 |
0.467 |
|
| 2019 |
Rivenson Y, Wang H, Wei Z, de Haan K, Zhang Y, Wu Y, Günaydın H, Zuckerman JE, Chong T, Sisk AE, Westbrook LM, Wallace WD, Ozcan A. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning. Nature Biomedical Engineering. PMID 31142829 DOI: 10.1038/S41551-019-0362-Y |
0.435 |
|
| 2019 |
Wu Y, Luo Y, Chaudhari G, Rivenson Y, Calis A, de Haan K, Ozcan A. Bright-field holography: cross-modality deep learning enables snapshot 3D imaging with bright-field contrast using a single hologram. Light, Science & Applications. 8: 25. PMID 30854197 DOI: 10.1038/S41377-019-0139-9 |
0.523 |
|
| 2019 |
Liu T, de Haan K, Rivenson Y, Wei Z, Zeng X, Zhang Y, Ozcan A. Deep learning-based super-resolution in coherent imaging systems. Scientific Reports. 9: 3926. PMID 30850721 DOI: 10.1038/S41598-019-40554-1 |
0.54 |
|
| 2019 |
Rivenson Y, Liu T, Wei Z, Zhang Y, de Haan K, Ozcan A. PhaseStain: the digital staining of label-free quantitative phase microscopy images using deep learning. Light, Science & Applications. 8: 23. PMID 30728961 DOI: 10.1038/S41377-019-0129-Y |
0.488 |
|
| 2019 |
Wang H, Rivenson Y, Jin Y, Wei Z, Gao R, Günaydın H, Bentolila LA, Kural C, Ozcan A. Deep learning enables cross-modality super-resolution in fluorescence microscopy. Nature Methods. 16: 103-110. PMID 30559434 DOI: 10.1038/S41592-018-0239-0 |
0.514 |
|
| 2019 |
Li J, Mengu D, Luo Y, Rivenson Y, Ozcan A. Class-specific differential detection in diffractive optical neural networks improves inference accuracy Advanced Photonics. 1: 1. DOI: 10.1117/1.Ap.1.4.046001 |
0.309 |
|
| 2018 |
Rivenson Y, Zhang Y, Günaydın H, Teng D, Ozcan A. Phase recovery and holographic image reconstruction using deep learning in neural networks. Light, Science & Applications. 7: 17141. PMID 30839514 DOI: 10.1038/Lsa.2017.141 |
0.502 |
|
| 2018 |
Zhang Y, Liu T, Huang Y, Teng D, Bian Y, Wu Y, Rivenson Y, Feizi A, Ozcan A. Accurate color imaging of pathology slides using holography and absorbance spectrum estimation of histochemical stains. Journal of Biophotonics. e201800335. PMID 30353662 DOI: 10.1002/Jbio.201800335 |
0.475 |
|
| 2018 |
Gӧrӧcs Z, Tamamitsu M, Bianco V, Wolf P, Roy S, Shindo K, Yanny K, Wu Y, Koydemir HC, Rivenson Y, Ozcan A. A deep learning-enabled portable imaging flow cytometer for cost-effective, high-throughput, and label-free analysis of natural water samples. Light, Science & Applications. 7: 66. PMID 30245813 DOI: 10.1038/S41377-018-0067-0 |
0.463 |
|
| 2018 |
Lin X, Rivenson Y, Yardimci NT, Veli M, Luo Y, Jarrahi M, Ozcan A. All-optical machine learning using diffractive deep neural networks. Science (New York, N.Y.). PMID 30049787 DOI: 10.1126/Science.Aat8084 |
0.376 |
|
| 2018 |
Wu Y, Rivenson Y, Zhang Y, Wei Z, Günaydin H, Lin X, Ozcan A. Extended depth-of-field in holographic imaging using deep-learning-based autofocusing and phase recovery Optica. 5: 704. DOI: 10.1364/Optica.5.000704 |
0.51 |
|
| 2018 |
Rivenson Y, Ozcan A. Toward a Thinking Microscope Optics and Photonics News. 29: 34. DOI: 10.1364/Opn.29.7.000034 |
0.39 |
|
| 2018 |
Wu Y, Calis A, Luo Y, Chen C, Lutton M, Rivenson Y, Lin X, Koydemir HC, Zhang Y, Wang H, Göröcs Z, Ozcan A. Label-Free Bioaerosol Sensing Using Mobile Microscopy and Deep Learning Acs Photonics. 5: 4617-4627. DOI: 10.1021/Acsphotonics.8B01109 |
0.364 |
|
| 2018 |
Rivenson Y, Ceylan Koydemir H, Wang H, Wei Z, Ren Z, Günaydın H, Zhang Y, Göröcs Z, Liang K, Tseng D, Ozcan A. Deep Learning Enhanced Mobile-Phone Microscopy Acs Photonics. 5: 2354-2364. DOI: 10.1021/Acsphotonics.8B00146 |
0.514 |
|
| 2017 |
Zhang Y, Shin Y, Sung K, Yang S, Chen H, Wang H, Teng D, Rivenson Y, Kulkarni RP, Ozcan A. 3D imaging of optically cleared tissue using a simplified CLARITY method and on-chip microscopy. Science Advances. 3: e1700553. PMID 28819645 DOI: 10.1126/Sciadv.1700553 |
0.51 |
|
| 2017 |
Rivenson Y, Göröcs Z, Günaydin H, Zhang Y, Wang H, Ozcan A. Deep learning microscopy Optica. 4: 1437. DOI: 10.1364/Optica.4.001437 |
0.497 |
|
| 2017 |
Zhang Y, Shin Y, Sung K, Yang S, Chen H, Wang H, Teng D, Rivenson Y, Kulkarni RP, Ozcan A. Holographic 3D Microscopy of Optically Cleared Tissue Frontiers in Optics. DOI: 10.1364/Fio.2017.Fw5D.2 |
0.348 |
|
| 2017 |
Rivenson Y, Wu C, Wang H, Zhang Y, Ozcan A. High resolution computational on-chip imaging of biological samples using sparsity constraint (Conference Presentation) Proceedings of Spie. 10055. DOI: 10.1117/12.2251765 |
0.523 |
|
| 2016 |
Rivenson Y, Wu Y, Wang H, Zhang Y, Feizi A, Ozcan A. Sparsity-based multi-height phase recovery in holographic microscopy. Scientific Reports. 6: 37862. PMID 27901048 DOI: 10.1038/Srep37862 |
0.535 |
|
| 2016 |
Sahlev MA, Rivenson Y, Meiri A, Zalevsky Z. Phase retrieval deblurring for imaging of dense object within a low scattering soft biological tissue. Journal of Biomedical Optics. 21: 96008. PMID 27637006 DOI: 10.1117/1.Jbo.21.9.096008 |
0.48 |
|
| 2016 |
Gorocs Z, Rivenson Y, Ceylan Koydemir H, Tseng D, Troy TL, Demas V, Ozcan A. Quantitative Fluorescence Sensing Through Highly Autofluorescent, Scattering and Absorbing Media Using Mobile Microscopy. Acs Nano. PMID 27622866 DOI: 10.1021/Acsnano.6B05129 |
0.329 |
|
| 2016 |
Wang H, Göröcs Z, Luo W, Zhang Y, Rivenson Y, Bentolila LA, Ozcan A. Computational out-of-focus imaging increases the space–bandwidth product in lens-based coherent microscopy Optica. 3: 1422. DOI: 10.1364/OPTICA.3.001422 |
0.317 |
|
| 2016 |
Javidi B, Carnicer A, Yamaguchi M, Nomura T, Pérez-Cabré E, Millán MS, Nishchal NK, Torroba R, Barrera JF, He W, Peng X, Stern A, Rivenson Y, Alfalou A, Brosseau C, et al. Roadmap on optical security Journal of Optics. 18: 083001. DOI: 10.1088/2040-8978/18/8/083001 |
0.342 |
|
| 2015 |
Rivenson Y, Shalev MA, Zalevsky Z. Compressive Fresnel holography approach for high-resolution viewpoint inference. Optics Letters. 40: 5606-9. PMID 26625062 DOI: 10.1364/Ol.40.005606 |
0.413 |
|
| 2015 |
Kashter Y, Rivenson Y, Stern A, Rosen J. Sparse synthetic aperture with Fresnel elements (S-SAFE) using digital incoherent holograms. Optics Express. 23: 20941-60. PMID 26367947 DOI: 10.1364/Oe.23.020941 |
0.744 |
|
| 2015 |
Rivenson Y, Aviv Shalev M, Weiss A, Panet H, Zalevsky Z. Digital resampling diversity sparsity constrained-wavefield reconstruction using single-magnitude image. Optics Letters. 40: 1842-5. PMID 25872088 DOI: 10.1364/Ol.40.001842 |
0.455 |
|
| 2015 |
Kashter Y, Rivenson Y, Stern A, Rosen J. Enhanced-resolution by Sparse Synthetic Aperture with Fresnel Elements (S-SAFE) Frontiers in Optics. DOI: 10.1364/Fio.2015.Fth4D.3 |
0.751 |
|
| 2014 |
Stern A, Farber V, Uzan A, Rivenson Y. Digital speckle reduction: a comparison between methods Proceedings of Spie. DOI: 10.1117/12.2049829 |
0.417 |
|
| 2014 |
Stern A, Farber V, Uzan A, Rivenson Y. Digital speckle reduction in holograms: a comparison between methods Proceedings of Spie. 9117. DOI: 10.1117/12.2049826 |
0.442 |
|
| 2013 |
Stern A, Zeltzer Y, Rivenson Y. Quantization error and dynamic range considerations for compressive imaging systems design. Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 30: 1069-77. PMID 24323093 DOI: 10.1364/Josaa.30.001069 |
0.403 |
|
| 2013 |
Rivenson Y, Katz B, Kelner R, Rosen J. Single channel in-line multimodal digital holography. Optics Letters. 38: 4719-22. PMID 24322115 DOI: 10.1364/Ol.38.004719 |
0.739 |
|
| 2013 |
Rivenson Y, Stern A, Rosen J. Reconstruction guarantees for compressive tomographic holography. Optics Letters. 38: 2509-11. PMID 23939096 DOI: 10.1364/Ol.38.002509 |
0.58 |
|
| 2013 |
August Y, Vachman C, Rivenson Y, Stern A. Compressive hyperspectral imaging by random separable projections in both the spatial and the spectral domains. Applied Optics. 52: D46-54. PMID 23545982 DOI: 10.1364/Ao.52.000D46 |
0.427 |
|
| 2013 |
Rivenson Y, Stern A, Javidi B. Overview of compressive sensing techniques applied in holography [Invited]. Applied Optics. 52: A423-32. PMID 23292420 DOI: 10.1364/Ao.52.00A423 |
0.407 |
|
| 2013 |
Rivenson Y, Stern A, Javidi B. Improved depth resolution by single-exposure in-line compressive holography. Applied Optics. 52: A223-31. PMID 23292398 DOI: 10.1364/Ao.52.00A223 |
0.424 |
|
| 2013 |
Mahalanobis A, Xiao X, Rivenson Y, Horisaki R, Stern A, Tanida J, Javidi B. 3D Imaging with Compressive Sensing Rundbrief Der Gi-Fachgruppe 5.10 Informationssystem-Architekturen. DOI: 10.1364/Isa.2013.Iw1E.1 |
0.454 |
|
| 2013 |
Rivenson Y, Katz B, Kelner R, Rosen J. Single-channel in-line multi-modal digital hologram recorder Frontiers in Optics. DOI: 10.1364/Fio.2013.Fw6A.4 |
0.731 |
|
| 2013 |
Rivenson Y, Stern A. Theory of compressive sensing with quadratic phase systems and examples in optics Proceedings of Spie. 8858: 885814. DOI: 10.1117/12.2024449 |
0.35 |
|
| 2013 |
Rivenson Y, Stern A, Javidi B. Compressive sensing for improved depth discrimination in 3D holographic reconstruction Proceedings of Spie. 8738. DOI: 10.1117/12.2018497 |
0.354 |
|
| 2013 |
Farber V, Eduard E, Rivenson Y, Stern A. A study of the coherence parameter of the progressive compressive imager based on radon transform Proceedings of Spie. 8750. DOI: 10.1117/12.2018005 |
0.417 |
|
| 2012 |
Rivenson Y, Rot A, Balber S, Stern A, Rosen J. Recovery of partially occluded objects by applying compressive Fresnel holography. Optics Letters. 37: 1757-9. PMID 22627561 DOI: 10.1364/Ol.37.001757 |
0.576 |
|
| 2012 |
Rivenson Y, Rot A, Balber S, Stern A, Rosen J. Imaging through Partially Occluding Media Using Compressive Sensing Optics and Photonics News. 23: 32. DOI: 10.1364/Opn.23.12.000032 |
0.624 |
|
| 2012 |
Rivenson Y, Rot A, Balber S, Stern A, Rosen J. Compressive Fresnel holography for object reconstruction through an occluding plane Biomedical Optics. DOI: 10.1364/Dh.2012.Dw4C.7 |
0.566 |
|
| 2012 |
Stern A, Rivenson Y, Rosen J, Javidi B. Compressive sensing techniques applied in holography: theory and examples Biomedical Optics. DOI: 10.1364/Dh.2012.Dsu2C.1 |
0.523 |
|
| 2011 |
Rivenson Y, Stern A. Conditions for practicing compressive Fresnel holography. Optics Letters. 36: 3365-7. PMID 21886212 DOI: 10.1364/Ol.36.003365 |
0.441 |
|
| 2011 |
Rivenson Y, Stern A, Rosen J. Compressive multiple view projection incoherent holography. Optics Express. 19: 6109-18. PMID 21451634 DOI: 10.1364/Oe.19.006109 |
0.588 |
|
| 2010 |
Rivenson Y, Stern A, Javidi B. Single exposure super-resolution compressive imaging by double phase encoding. Optics Express. 18: 15094-103. PMID 20639994 DOI: 10.1364/Oe.18.015094 |
0.519 |
|
| 2010 |
Stern A, Rivenson Y, Paz G, Avremko O. Is Super-Resolution from a Single Image Possible? Frontiers in Optics. DOI: 10.1364/Fio.2010.Fwh3 |
0.531 |
|
| 2010 |
Rivenson Y, Stern A, Rosen J. Compressive Sensing Approach for Reducing the Number of Exposures in Multiple View Projection Holography Frontiers in Optics. DOI: 10.1364/Fio.2010.Fthm2 |
0.606 |
|
| 2010 |
Rivenson Y, Stern A, Javidi B. Compressive Fresnel Holography Journal of Display Technology. 6: 506-509. DOI: 10.1109/Jdt.2010.2042276 |
0.394 |
|
| 2009 |
Rivenson Y, Stern A. Compressed Imaging With a Separable Sensing Operator Ieee Signal Processing Letters. 16: 449-452. DOI: 10.1109/Lsp.2009.2017817 |
0.424 |
|
| 2005 |
Artyomov E, Rivenson Y, Levi G, Yadid-Pecht O. Morton (Z) scan based real-time variable resolution CMOS image sensor Ieee Transactions On Circuits and Systems For Video Technology. 15: 947-952. DOI: 10.1109/Tcsvt.2005.848338 |
0.451 |
|
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