Yair Rivenson

About Yair Rivenson

Yair Rivenson, With an exceptional h-index of 48 and a recent h-index of 41 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Computational Imaging, Biomedical Imaging, Compressed Sensing, Inverse Problems, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Systems and methods for two-dimensional fluorescence wave propagation onto surfaces using deep learning

Combination analysis of tumor-associated collagen frameworks and tumor immune phenotype of lung carcinomas using virtual staining

Volumetric microscopy methods and systems using recurrent neural networks

Method and system for digital staining of label-free fluorescence images using deep learning

Virtual staining enabled combined morphological and spatial transcriptomic analysis of individual malignant B cells and local tumor microenvironments

Real-time, multiplexed rendering of lymphoma diagnostic panels from unstained tissue sections using virtual staining.

Method of generating inference-based virtually stained image annotations

Method and system for digital staining of microscopy images using deep learning

Yair Rivenson Information

University

Position

___

Citations(all)

10680

Citations(since 2020)

9049

Cited By

4451

hIndex(all)

48

hIndex(since 2020)

41

i10Index(all)

76

i10Index(since 2020)

66

Email

University Profile Page

Google Scholar

Yair Rivenson Skills & Research Interests

Computational Imaging

Biomedical Imaging

Compressed Sensing

Inverse Problems

Machine Learning

Top articles of Yair Rivenson

Title

Journal

Author(s)

Publication Date

Systems and methods for two-dimensional fluorescence wave propagation onto surfaces using deep learning

2024/4/2

Combination analysis of tumor-associated collagen frameworks and tumor immune phenotype of lung carcinomas using virtual staining

Cancer Research

Serge Alexanian

Yair Rivenson

Ning Xuan

Brian Cone

Zihang Fang

...

2024/3/22

Volumetric microscopy methods and systems using recurrent neural networks

2024/2/27

Method and system for digital staining of label-free fluorescence images using deep learning

2024/2/6

Virtual staining enabled combined morphological and spatial transcriptomic analysis of individual malignant B cells and local tumor microenvironments

Cancer Research

Michael E Kallen

Alyssa Rosenbloom

Zihang Fang

Raymond Kozikowski

Yair Rivenson

...

2023/4/4

Real-time, multiplexed rendering of lymphoma diagnostic panels from unstained tissue sections using virtual staining.

Hirofumi Kobayashi

Michael E Kallen

Raymond Kozikowski

Kevin de Haan

Zihang Fang

...

2023/8

Method of generating inference-based virtually stained image annotations

2023/12/7

Method and system for digital staining of microscopy images using deep learning

2023/2/2

Single-shot autofocusing of microscopy images using deep learning

2023/3/23

Virtual staining enables morphologic and spatial transcriptomic analysis of malignant B-cells and tumor microenvironment in classic Hodgkin lymphoma

Michael E Kallen

Alyssa Rosenbloom

Charlie Glaser

Zihang Fang

Raymond Kozikowski

...

2023/6/1

72 Virtual stain overlay: a novel approach for evaluating tumor microenvironment (TME) specific expression of PD-L1 in whole slide images of lung cancer

Brian Cone

Thomas Jensen

Zihang Fang

Kevin de Haan

Serge Alexanian

...

2023/11/1

Label-free, in vivo virtual histology of skin using reflectance confocal microscopy and deep learning (Conference Presentation)

Jingxi Li

Jason Garfinkel

Xiaoran Zhang

Di Wu

Yijie Zhang

...

2023/3/16

Misalignment-resilient diffractive optical neural networks

2023/5/25

Virtual biomarkers: an emerging high throughput research tool

Yair Rivenson

2023/10/5

Virtual HER2 staining of label-free breast tissue using autofluorescence imaging and deep learning

Bijie Bai

Hongda Wang

Yuzhu Li

Kevin de Haan

Francesco Colonnese

...

2023/3/6

Machine vision using diffractive spectral encoding

2023/5/18

Building a nonclinical pathology laboratory of the future for pharmaceutical research excellence

DG Rudmann

J Deiters

M Staup

Y Rivenson

J Kuklyte

2023/8/19

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

2023/12/14

Deep learning-based virtual staining of histological tissues

Kevin de Haan

Yair Rivenson

Aydogan Ozcan

2023/3/6

Virtual staining overlay enabled combined morphological and spatial transcriptomic analysis of individual malignant B cells and local tumor microenvironments

Zihang Fang

Raymond Kozikowski

Kevin de Haan

Serge Alexanian

Michael E Kallen

...

2023/4/28

See List of Professors in Yair Rivenson University(University of California, Los Angeles)

Co-Authors

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