Zoltán Göröcs

University of California, Los Angeles

H-index: 20

North America-United States

About Zoltán Göröcs

Zoltán Göröcs, With an exceptional h-index of 20 and a recent h-index of 17 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of Computational Imaging, Digital Holography.

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

AlgaSens: An AI-enabled Platform for Cost-effective Automated Characterization of Algae and Other Micro-objects for Optimizing Research and Cultivation in Bioproducts & Biofuels.

Deep learning-enabled portable imaging flow cytometer for label-free analysis of water samples

Sub-picomolar lateral flow antigen detection with two-wavelength imaging of composite nanoparticles

Label-free analysis of micro-algae populations using a high-throughput holographic imaging flow cytometer and deep learning

Label-free detection of Giardia lamblia cysts in water samples using a field-portable imaging flow cytometer and deep learning

High throughput detection and quantification of Giardia lamblia cysts using holographic imaging flow-cytometry and deep learning

Deep Learning-enabled Holographic Imaging Flow-Cytometry for Label-Free Detection of Giardia Lamblia in Water Samples

Phenotypic analysis of microalgae populations using label-free imaging flow cytometry and deep learning

Zoltán Göröcs Information

University	University of California, Los Angeles
Position	___
Citations(all)	3380
Citations(since 2020)	2184
Cited By	2173
hIndex(all)	20
hIndex(since 2020)	17
i10Index(all)	27
i10Index(since 2020)	19
Email	Access Email
University Profile Page	University of California, Los Angeles
Google Scholar	View Google Scholar Profile

Zoltán Göröcs Skills & Research Interests

Computational Imaging

Digital Holography

Top articles of Zoltán Göröcs

Title	Journal	Author(s)	Publication Date
AlgaSens: An AI-enabled Platform for Cost-effective Automated Characterization of Algae and Other Micro-objects for Optimizing Research and Cultivation in Bioproducts & Biofuels.		Maxim Batalin Zoltan Gorocs Dhruvin Naik Andrew Jones Lin Li	2023/3/30
Deep learning-enabled portable imaging flow cytometer for label-free analysis of water samples			2022/11/15
Sub-picomolar lateral flow antigen detection with two-wavelength imaging of composite nanoparticles	Biosensors and Bioelectronics	Benjamin S Miller Michael R Thomas Matthew Banner Jeongyun Kim Yiyun Chen ...	2022/7/1
Label-free analysis of micro-algae populations using a high-throughput holographic imaging flow cytometer and deep learning		Cagatay Isil Kevin De Haan Hatice Ceylan Koydemir Zoltán Göröcs David Baum ...	2021/3/5
Label-free detection of Giardia lamblia cysts in water samples using a field-portable imaging flow cytometer and deep learning		Zoltán S Göröcs David Baum Fang Song Kevin De Haan Hatice Ceylan Koydemir ...	2021/3/5
High throughput detection and quantification of Giardia lamblia cysts using holographic imaging flow-cytometry and deep learning	APS March Meeting Abstracts	Zoltan Gorocs David Baum Fang Song Kevin de Haan Hatice Ceylan Koydemir ...	2021
Deep Learning-enabled Holographic Imaging Flow-Cytometry for Label-Free Detection of Giardia Lamblia in Water Samples		Zoltán Göröcs David Baum Fang Song Kevin de Haan Hatice Ceylan Koydemir ...	2021/7/19
Phenotypic analysis of microalgae populations using label-free imaging flow cytometry and deep learning	Acs Photonics	Çaǧatay Işıl Kevin de Haan Zoltan Gorocs Hatice Ceylan Koydemir Spencer Peterman ...	2021/3/10
Label-free detection of Giardia lamblia cysts using a deep learning-enabled portable imaging flow cytometer	Lab on a Chip	Zoltán Göröcs David Baum Fang Song Kevin de Haan Hatice Ceylan Koydemir ...	2020