b'Yair Rivenson'

research

∙ 12/08/2021

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

The immunohistochemical (IHC) staining of the human epidermal growth fac...

Bijie Bai, et al. ∙

research

∙ 08/22/2021

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

We report the design of diffractive surfaces to all-optically perform ar...

Onur Kulce, et al. ∙

research

∙ 08/18/2021

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

Diffractive optical networks unify wave optics and deep learning to all-...

Deniz Mengu, et al. ∙

research

∙ 03/04/2021

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

Optical Coherence Tomography (OCT) is a widely used non-invasive biomedi...

Yijie Zhang, et al. ∙

research

∙ 12/22/2020

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

We present a virtual image refocusing method over an extended depth of f...

Xilin Yang, et al. ∙

research

∙ 12/01/2020

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

Conventional spectrometers are limited by trade-offs set by size, cost, ...

Calvin Brown, et al. ∙

research

∙ 10/24/2020

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

Recent research efforts in optical computing have gravitated towards dev...

Deniz Mengu, et al. ∙

research

∙ 10/21/2020

Recurrent neural network-based volumetric fluorescence microscopy

Volumetric imaging of samples using fluorescence microscopy plays an imp...

Luzhe Huang, et al. ∙

research

∙ 09/15/2020

Ensemble learning of diffractive optical networks

A plethora of research advances have emerged in the fields of optics and...

Md Sadman Sakib Rahman, et al. ∙

research

∙ 08/20/2020

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

Pathology is practiced by visual inspection of histochemically stained s...

Kevin de Haan, et al. ∙

research

∙ 07/25/2020

All-Optical Information Processing Capacity of Diffractive Surfaces

Precise engineering of materials and surfaces has been at the heart of s...

Onur Kulce, et al. ∙

research

∙ 07/01/2020

Deep learning-based holographic polarization microscopy

Polarized light microscopy provides high contrast to birefringent specim...

Tairan Liu, et al. ∙

research

∙ 06/30/2020

Terahertz Pulse Shaping Using Diffractive Legos

Recent advances in deep learning have been providing non-intuitive solut...

Muhammed Veli, et al. ∙

research

∙ 05/23/2020

Misalignment Resilient Diffractive Optical Networks

As an optical machine learning framework, Diffractive Deep Neural Networ...

Deniz Mengu, et al. ∙

research

∙ 05/15/2020

Machine Vision using Diffractive Spectral Encoding

Machine vision systems mostly rely on lens-based optical imaging archite...

Jingxi Li, et al. ∙

research

∙ 03/21/2020

Single-shot autofocusing of microscopy images using deep learning

We demonstrate a deep learning-based offline autofocusing method, termed...

Yilin Luo, et al. ∙

research

∙ 01/29/2020

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

We present a computational live bacteria detection system that periodica...

Hongda Wang, et al. ∙

research

∙ 01/20/2020

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

Histological staining is a vital step used to diagnose various diseases ...

Yijie Zhang, et al. ∙

research

∙ 09/14/2019

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

We report a broadband diffractive optical neural network design that sim...

Yi Luo, et al. ∙

research

∙ 07/15/2019

Deep learning-based color holographic microscopy

We report a framework based on a generative adversarial network (GAN) th...

Tairan Liu, et al. ∙

research

∙ 06/08/2019

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

Diffractive deep neural networks have been introduced earlier as an opti...

Jingxi Li, et al. ∙

research

∙ 01/31/2019

Three-dimensional propagation and time-reversal of fluorescence images

Unlike holography, fluorescence microscopy lacks an image propagation an...

Yichen Wu, et al. ∙

research

∙ 01/30/2019

Resolution enhancement in scanning electron microscopy using deep learning

We report resolution enhancement in scanning electron microscopy (SEM) i...

Kevin de Haan, et al. ∙

research

∙ 11/17/2018

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

Deep learning brings bright-field microscopy contrast to holographic ima...

Yichen Wu, et al. ∙

research

∙ 10/15/2018

Deep learning-based super-resolution in coherent imaging systems

We present a deep learning framework based on a generative adversarial n...

Tairan Liu, et al. ∙

research

∙ 10/10/2018

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

In their Comment, Wei et al. (arXiv:1809.08360v1 [cs.LG]) claim that our...

Deniz Mengu, et al. ∙

research

∙ 10/03/2018

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

Optical machine learning offers advantages in terms of power efficiency,...

Deniz Mengu, et al. ∙

research

∙ 07/20/2018

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

Using a deep neural network, we demonstrate a digital staining technique...

Yair Rivenson, et al. ∙

research

∙ 05/23/2018

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

We discuss recently emerging applications of the state-of-art deep learn...

Yair Rivenson, et al. ∙

research

∙ 04/14/2018

All-Optical Machine Learning Using Diffractive Deep Neural Networks

We introduce an all-optical Diffractive Deep Neural Network (D2NN) archi...

Xing Lin, et al. ∙

research

∙ 03/30/2018

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

Histological analysis of tissue samples is one of the most widely used m...

Yair Rivenson, et al. ∙

research

∙ 03/21/2018

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

Holography encodes the three dimensional (3D) information of a sample in...

Yichen Wu, et al. ∙

research

∙ 12/12/2017

Deep learning enhanced mobile-phone microscopy

Mobile-phones have facilitated the creation of field-portable, cost-effe...

Yair Rivenson, et al. ∙

research

∙ 05/12/2017

Deep Learning Microscopy

We demonstrate that a deep neural network can significantly improve opti...

Yair Rivenson, et al. ∙

research

∙ 05/10/2017

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

Phase recovery from intensity-only measurements forms the heart of coher...

Yair Rivenson, et al. ∙

Yair Rivenson

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