Yair Rivenson

According to our database, Yair Rivenson authored at least 41 papers between 2005 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Label-free virtual HER2 immunohistochemical staining of breast tissue using deep learning.

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan B. Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, Aydogan Ozcan

CoRR, 2021

All-Optical Synthesis of an Arbitrary Linear Transformation Using Diffractive Surfaces.

Onur Kulce, Deniz Mengu, Yair Rivenson, Aydogan Ozcan

CoRR, 2021

Classification and reconstruction of spatially overlapping phase images using diffractive optical networks.

Deniz Mengu, Muhammed Veli, Yair Rivenson, Aydogan Ozcan

CoRR, 2021

Neural network-based image reconstruction in swept-source optical coherence tomography using undersampled spectral data.

Yijie Zhang, Tairan Liu, Manmohan Singh, Yilin Luo, Yair Rivenson, Kirill V. Larin, Aydogan Ozcan

CoRR, 2021

Holographic image reconstruction with phase recovery and autofocusing using recurrent neural networks.

Luzhe Huang, Tairan Liu, Xilin Yang, Yi Luo, Yair Rivenson, Aydogan Ozcan

CoRR, 2021

2020

Deep-Learning-Based Image Reconstruction and Enhancement in Optical Microscopy.

Kevin de Haan, Yair Rivenson, Yichen Wu, Aydogan Ozcan

Proc. IEEE, 2020

Automated screening of sickle cells using a smartphone-based microscope and deep learning.

Kevin de Haan, Hatice Ceylan Koydemir, Yair Rivenson, Derek Tseng, Elizabeth Van Dyne, Lissette Bakic, Kerim Doruk Karinca, Kyle Liang, Megha Ilango, Esin Gumustekin, Aydogan Ozcan

npj Digit. Medicine, 2020

Deep learning-based virtual refocusing of images using an engineered point-spread function.

Xilin Yang, Luzhe Huang, Yilin Luo, Yichen Wu, Hongda Wang, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

Neural network-based on-chip spectroscopy using a scalable plasmonic encoder.

Calvin Brown, Artem Goncharov, Zachary S. Ballard, Mason Fordham, Ashley Clemens, Yunzhe Qiu, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

Scale-, shift- and rotation-invariant diffractive optical networks.

Deniz Mengu, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

Recurrent neural network-based volumetric fluorescence microscopy.

Luzhe Huang, Yilin Luo, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

Ensemble learning of diffractive optical networks.

Md Sadman Sakib Rahman, Jingxi Li, Deniz Mengu, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

Deep learning-based transformation of the H&E stain into special stains improves kidney disease diagnosis.

Kevin de Haan, Yijie Zhang, Tairan Liu, Anthony E. Sisk, Miguel F. P. Diaz, Jonathan E. Zuckerman, Yair Rivenson, W. Dean Wallace, Aydogan Ozcan

CoRR, 2020

All-Optical Information Processing Capacity of Diffractive Surfaces.

Onur Kulce, Deniz Mengu, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

Deep learning-based holographic polarization microscopy.

Tairan Liu, Kevin de Haan, Bijie Bai, Yair Rivenson, Yi Luo, Hongda Wang, David Karalli, Hongxiang Fu, Yibo Zhang, John FitzGerald, Aydogan Ozcan

CoRR, 2020

Terahertz Pulse Shaping Using Diffractive Legos.

Muhammed Veli, Deniz Mengu, Nezih T. Yardimci, Yi Luo, Jingxi Li, Yair Rivenson, Mona Jarrahi, Aydogan Ozcan

CoRR, 2020

Misalignment Resilient Diffractive Optical Networks.

Deniz Mengu, Yifan Zhao, Nezih T. Yardimci, Yair Rivenson, Mona Jarrahi, Aydogan Ozcan

CoRR, 2020

Machine Vision using Diffractive Spectral Encoding.

Jingxi Li, Deniz Mengu, Nezih T. Yardimci, Yi Luo, Xurong Li, Muhammed Veli, Yair Rivenson, Mona Jarrahi, Aydogan Ozcan

CoRR, 2020

Single-shot autofocusing of microscopy images using deep learning.

Yilin Luo, Luzhe Huang, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

Early-detection and classification of live bacteria using time-lapse coherent imaging and deep learning.

Hongda Wang, Hatice Ceylan Koydemir, Yunzhe Qiu, Bijie Bai, Yibo Zhang, Yiyin Jin, Sabiha Tok, Enis Cagatay Yilmaz, Esin Gumustekin, Yair Rivenson, Aydogan Ozcan

CoRR, 2020

Digital synthesis of histological stains using micro-structured and multiplexed virtual staining of label-free tissue.

Yijie Zhang, Kevin de Haan, Yair Rivenson, Jingxi Li, Apostolos Delis, Aydogan Ozcan

CoRR, 2020

2019

Design of Task-Specific Optical Systems Using Broadband Diffractive Neural Networks.

Yi Luo, Deniz Mengu, Nezih T. Yardimci, Yair Rivenson, Muhammed Veli, Mona Jarrahi, Aydogan Ozcan

CoRR, 2019

Deep learning-based color holographic microscopy.

Tairan Liu, Zhensong Wei, Yair Rivenson, Kevin de Haan, Yibo Zhang, Yichen Wu, Aydogan Ozcan

CoRR, 2019

Class-specific Differential Detection in Diffractive Optical Neural Networks Improves Inference Accuracy.

Jingxi Li, Deniz Mengu, Yi Luo, Yair Rivenson, Aydogan Ozcan

CoRR, 2019

Three-dimensional propagation and time-reversal of fluorescence images.

Yichen Wu, Yair Rivenson, Hongda Wang, Yilin Luo, Eyal Ben-David, Aydogan Ozcan

CoRR, 2019

Resolution enhancement in scanning electron microscopy using deep learning.

Kevin de Haan, Zachary S. Ballard, Yair Rivenson, Yichen Wu, Aydogan Ozcan

CoRR, 2019

2018

Cross-modality deep learning brings bright-field microscopy contrast to holography.

Yichen Wu, Yilin Luo, Gunvant Chaudhari, Yair Rivenson, Ayfer Calis, Kevin de Haan, Aydogan Ozcan

CoRR, 2018

Deep learning-based super-resolution in coherent imaging systems.

Tairan Liu, Kevin de Haan, Yair Rivenson, Zhensong Wei, Xin Zeng, Yibo Zhang, Aydogan Ozcan

CoRR, 2018

Response to Comment on "All-optical machine learning using diffractive deep neural networks".

Deniz Mengu, Yi Luo, Yair Rivenson, Xing Lin, Muhammed Veli, Aydogan Ozcan

CoRR, 2018

Analysis of Diffractive Optical Neural Networks and Their Integration with Electronic Neural Networks.

Deniz Mengu, Yi Luo, Yair Rivenson, Aydogan Ozcan

CoRR, 2018

PhaseStain: Digital staining of label-free quantitative phase microscopy images using deep learning.

Yair Rivenson, Tairan Liu, Zhensong Wei, Yibo Zhang, Aydogan Ozcan

CoRR, 2018

Toward a Thinking Microscope: Deep Learning in Optical Microscopy and Image Reconstruction.

Yair Rivenson, Aydogan Ozcan

CoRR, 2018

All-Optical Machine Learning Using Diffractive Deep Neural Networks.

Xing Lin, Yair Rivenson, Nezih T. Yardimci, Muhammed Veli, Mona Jarrahi, Aydogan Ozcan

CoRR, 2018

Deep learning-based virtual histology staining using auto-fluorescence of label-free tissue.

Yair Rivenson, Hongda Wang, Zhensong Wei, Yibo Zhang, Harun Gunaydin, Aydogan Ozcan

CoRR, 2018

Extended depth-of-field in holographic image reconstruction using deep learning based auto-focusing and phase-recovery.

Yichen Wu, Yair Rivenson, Yibo Zhang, Zhensong Wei, Harun Gunaydin, Xing Lin, Aydogan Ozcan

CoRR, 2018

2017

Deep learning enhanced mobile-phone microscopy.

Yair Rivenson, Hatice Ceylan Koydemir, Hongda Wang, Zhensong Wei, Zhengshuang Ren, Harun Gunaydin, Yibo Zhang, Zoltan Gorocs, Kyle Liang, Derek Tseng, Aydogan Ozcan

CoRR, 2017

Phase recovery and holographic image reconstruction using deep learning in neural networks.

Yair Rivenson, Yibo Zhang, Harun Gunaydin, Da Teng, Aydogan Ozcan

CoRR, 2017

Deep Learning Microscopy.

Yair Rivenson, Zoltan Gorocs, Harun Gunaydin, Yibo Zhang, Hongda Wang, Aydogan Ozcan

CoRR, 2017

2009

Compressed Imaging With a Separable Sensing Operator.

Yair Rivenson, Adrian Stern

IEEE Signal Process. Lett., 2009

Practical compressive sensing of large images.

Yair Rivenson, Adrian Stern

Proceedings of the 16th International Conference on Digital Signal Processing, 2009

2005

Morton (Z) scan based real-time variable resolution CMOS image sensor.

Evgeny Artyomov, Yair Rivenson, Guy Levi, Orly Yadid-Pecht

IEEE Trans. Circuits Syst. Video Technol., 2005