Yair Rivenson
HHMI Project Mentor
The immunohistochemical (IHC) staining of the human epidermal growth fac...
We report the design of diffractive surfaces to all-optically perform
ar...
Diffractive optical networks unify wave optics and deep learning to
all-...
Optical Coherence Tomography (OCT) is a widely used non-invasive biomedi...
We present a virtual image refocusing method over an extended depth of f...
Conventional spectrometers are limited by trade-offs set by size, cost,
...
Recent research efforts in optical computing have gravitated towards
dev...
Volumetric imaging of samples using fluorescence microscopy plays an
imp...
A plethora of research advances have emerged in the fields of optics and...
Pathology is practiced by visual inspection of histochemically stained
s...
Precise engineering of materials and surfaces has been at the heart of s...
Polarized light microscopy provides high contrast to birefringent specim...
Recent advances in deep learning have been providing non-intuitive solut...
As an optical machine learning framework, Diffractive Deep Neural Networ...
Machine vision systems mostly rely on lens-based optical imaging
archite...
We demonstrate a deep learning-based offline autofocusing method, termed...
We present a computational live bacteria detection system that periodica...
Histological staining is a vital step used to diagnose various diseases ...
We report a broadband diffractive optical neural network design that
sim...
We report a framework based on a generative adversarial network (GAN) th...
Diffractive deep neural networks have been introduced earlier as an opti...
Unlike holography, fluorescence microscopy lacks an image propagation an...
We report resolution enhancement in scanning electron microscopy (SEM) i...
Deep learning brings bright-field microscopy contrast to holographic ima...
We present a deep learning framework based on a generative adversarial
n...
In their Comment, Wei et al. (arXiv:1809.08360v1 [cs.LG]) claim that our...
Optical machine learning offers advantages in terms of power efficiency,...
Using a deep neural network, we demonstrate a digital staining technique...
We discuss recently emerging applications of the state-of-art deep learn...
We introduce an all-optical Diffractive Deep Neural Network (D2NN)
archi...
Histological analysis of tissue samples is one of the most widely used
m...
Holography encodes the three dimensional (3D) information of a sample in...
Mobile-phones have facilitated the creation of field-portable, cost-effe...
We demonstrate that a deep neural network can significantly improve opti...
Phase recovery from intensity-only measurements forms the heart of coher...