Yair Rivenson
According to our database1,
Yair Rivenson
authored at least 42 papers
between 2005 and 2024.
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Bibliography
2024
Virtual Gram staining of label-free bacteria using darkfield microscopy and deep learning.
CoRR, 2024
2021
Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning.
CoRR, 2021
All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces.
CoRR, 2021
Classification and reconstruction of spatially overlapping phase images using diffractive optical networks.
CoRR, 2021
Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data.
CoRR, 2021
Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks.
CoRR, 2021
2020
Proc. IEEE, 2020
Automated screening of sickle cells using a smartphone-based microscope and deep learning.
npj Digit. Medicine, 2020
Deep learning-based virtual refocusing of images using an engineered point-spread function.
CoRR, 2020
CoRR, 2020
Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis.
CoRR, 2020
Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning.
CoRR, 2020
Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue.
CoRR, 2020
2019
CoRR, 2019
Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy.
CoRR, 2019
CoRR, 2019
2018
CoRR, 2018
Response to Comment on "All-optical machine learning using diffractive deep neural networks".
CoRR, 2018
Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks.
CoRR, 2018
PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning.
CoRR, 2018
Toward a Thinking Microscope: Deep Learning in Optical Microscopy and Image Reconstruction.
CoRR, 2018
Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue.
CoRR, 2018
Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery.
CoRR, 2018
2017
Phase recovery and holographic image reconstruction using deep learning in neural networks.
CoRR, 2017
2009
IEEE Signal Process. Lett., 2009
Proceedings of the 16th International Conference on Digital Signal Processing, 2009
2005
IEEE Trans. Circuits Syst. Video Technol., 2005