Bahram Parvin

Bahram Parvin

University of Nevada, Reno

H-index: 43

North America-United States

About Bahram Parvin

Bahram Parvin, With an exceptional h-index of 43 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Nevada, Reno, specializes in the field of Tumor-stroma reprogramming, Bioimaging/deep learning.

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

Biomarkers of Tumor Heterogeneity in Glioblastoma Multiforme Cohort of TCGA

Influence of Simulated Microgravity on Mammary Epithelial Cells Grown as 2D and 3D Cultures

CD36+ Fibroblasts Secrete Protein Ligands That Growth-Suppress Triple-Negative Breast Cancer Cells While Elevating Adipogenic Markers for a Model of Cancer …

An enhanced loss function simplifies the deep learning model for characterizing the 3D organoid models

Protein Ligands in the Secretome of CD36+ Fibroblasts Induce Growth Suppression in a Subset of Breast Cancer Cell Lines

YY1 is a cis-regulator in the organoid models of high mammographic density

Rapid Identification of Microorganisms

A Practical Methodology for Generating High-Resolution 3D Models of Open-Pit Slopes Using UAVs: Flight Path Planning and Optimization

Bahram Parvin Information

University

Position

Department of Biomedical Engineering

Citations(all)

19625

Citations(since 2020)

6920

Cited By

15097

hIndex(all)

43

hIndex(since 2020)

23

i10Index(all)

109

i10Index(since 2020)

50

Email

University Profile Page

University of Nevada, Reno

Google Scholar

View Google Scholar Profile

Bahram Parvin Skills & Research Interests

Tumor-stroma reprogramming

Bioimaging/deep learning

Top articles of Bahram Parvin

Title

Journal

Author(s)

Publication Date

Biomarkers of Tumor Heterogeneity in Glioblastoma Multiforme Cohort of TCGA

Cancers

Garrett Winkelmaier

Brandon Koch

Skylar Bogardus

Alexander D Borowsky

Bahram Parvin

2023/4/20

Influence of Simulated Microgravity on Mammary Epithelial Cells Grown as 2D and 3D Cultures

International Journal of Molecular Sciences

Garrett Winkelmaier

Kosar Jabbari

Lung-Chang Chien

Peter Grabham

Bahram Parvin

...

2023/4/20

CD36+ Fibroblasts Secrete Protein Ligands That Growth-Suppress Triple-Negative Breast Cancer Cells While Elevating Adipogenic Markers for a Model of Cancer …

International Journal of Molecular Sciences

Kosar Jabbari

Qingsu Cheng

Garrett Winkelmaier

Saori Furuta

Bahram Parvin

2022/10/22

An enhanced loss function simplifies the deep learning model for characterizing the 3D organoid models

Bioinformatics

Garrett Winkelmaier

Bahram Parvin

2021/9/15

Protein Ligands in the Secretome of CD36+ Fibroblasts Induce Growth Suppression in a Subset of Breast Cancer Cell Lines

Cancers

Kosar Jabbari

Garrett Winkelmaier

Cody Andersen

Paul Yaswen

David Quilici

...

2021/1

YY1 is a cis-regulator in the organoid models of high mammographic density

Bioinformatics

Qingsu Cheng

Mina Khoshdeli

Bradley S Ferguson

Kosar Jabbari

Chongzhi Zang

...

2020/3/15

Rapid Identification of Microorganisms

2020/10/8

A Practical Methodology for Generating High-Resolution 3D Models of Open-Pit Slopes Using UAVs: Flight Path Planning and Optimization

Remote Sensing

Rushikesh Battulwar

Garrett Winkelmaier

Jorge Valencia

Masoud Zare Naghadehi

Bijan Peik

...

2020/1

Methods for delineating cellular regions and classifying regions of histopathology and microanatomy

2020/9/15

Overexpression of CD36 in mammary fibroblasts suppresses colony growth in breast cancer cell lines

Biochemical and biophysical research communications

Qingsu Cheng

Kosar Jabbari

Garrett Winkelmaier

Cody Andersen

Paul Yaswen

...

2020/5/21

Topographically guided UAV for identifying tension cracks using image-based analytics in Open-Pit mines

IEEE transactions on industrial electronics

Garrett Winkelmaier

Rushikesh Battulwar

Mina Khoshdeli

Jorge Valencia

Javad Sattarvand

...

2020/5/7

Organoid model of mammographic density displays a higher frequency of aberrant colony formations with radiation exposure

Bioinformatics

Qingsu Cheng

Bahram Parvin

2020/4/1

Rapid identification of a subset of foodborne bacteria in live-cell assays

Applied Microbiology and Biotechnology

Qingsu Cheng

Bahram Parvin

2020/12

See List of Professors in Bahram Parvin University(University of Nevada, Reno)

Co-Authors

H-index: 89
Gerard Medioni

Gerard Medioni

University of Southern California

H-index: 66
Mary Helen Barcellos-Hoff

Mary Helen Barcellos-Hoff

University of California, San Francisco

academic-engine