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D-Index & Metrics

Computer Science

D-Index
56
Citations
13871
World Ranking
4037
National Ranking
1923

Research.com Recognitions

  • 2019 - Fellow of the Indian National Academy of Engineering (INAE)
  • 2018 - IEEE Fellow For contributions to image processing algorithms for biological microscopy

Overview

Badrinath Roysam is affiliated with the University of Houston in the United States. Their research spans multiple fields within the biological and computational sciences, with a focus on biochemistry, genetics and molecular biology as well as computer science.

Their primary areas of study include biophysics, artificial intelligence, molecular biology, media technology, and pulmonary and respiratory medicine. Specific research topics addressed by Roysam cover cell image analysis techniques, advanced fluorescence microscopy techniques, image processing techniques and applications, single-cell and spatial transcriptomics, domain adaptation and few-shot learning, and machine learning algorithms and data classification.

Roysam's frequent co-authors are:

  • Hien Van Nguyen
  • Dragan Maric
  • Pietro Antonio Cicalese
  • Jahandar Jahanipour
  • Aryan Mobiny

The scientist's work has been published in a variety of venues, with multiple publications in Nature Methods and Bioinformatics, as well as contributions to Kidney International, Nature Communications, and the Journal of Neurotrauma.

Recent papers authored or co-authored by Roysam include:

  • Artificial intelligence and machine learning in nephropathology, 2020, Kidney International
  • Whole-brain tissue mapping toolkit using large-scale highly multiplexed immunofluorescence imaging and deep neural networks, 2021, Nature Communications
  • BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets, 2023, Nature Methods
  • Automated detection of apoptotic bodies and cells in label-free time-lapse high-throughput video microscopy using deep convolutional neural networks, 2023, Bioinformatics
  • BigNeuron: A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology, 2022, bioRxiv (Cold Spring Harbor Laboratory)

Recognition for contributions in their field includes the IEEE Fellow award in 2018 for contributions to image processing algorithms for biological microscopy, and election as a Fellow of the Indian National Academy of Engineering in 2019.

Best Publications

  • Image change detection algorithms: a systematic survey

    R.J. Radke;S. Andra;O. Al-Kofahi;B. Roysam

  • Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images

    Y. Al-Kofahi;W. Lassoued;W. Lee;B. Roysam

  • Biological imaging software tools

    Kevin W. Eliceiri;Michael R. Berthold;Ilya G. Goldberg;Luis Ibáñez

  • Rapid automated tracing and feature extraction from retinal fundus images using direct exploratory algorithms

    Ali Can;Hong Shen;J.N. Turner;H.L. Tanenbaum

  • The dual-bootstrap iterative closest point algorithm with application to retinal image registration

    C.V. Stewart;Chia-Ling Tsai;B. Roysam

  • A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks

    Gang Lin;Umesh Adiga;Umesh Adiga;Kathy Olson;John F. Guzowski

  • A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina

    A. Can;C.V. Stewart;B. Roysam;H.L. Tanenbaum

  • Effects of insertion conditions on tissue strain and vascular damage during neuroprosthetic device insertion.

    C. S. Bjornsson;Seung Jae Oh;Y. A. Al-Kofahi;Y. J. Lim

  • Rapid automated three-dimensional tracing of neurons from confocal image stacks

    K.A. Al-Kofahi;S. Lasek;D.H. Szarowski;C.J. Pace

  • Topographically modified surfaces affect orientation and growth of hippocampal neurons

    N. M. Dowell-Mesfin;N. M. Dowell-Mesfin;M. A. Abdul-Karim;A. M.P. Turner;S. Schanz

  • Robust detection and classification of longitudinal changes in color retinal fundus images for monitoring diabetic retinopathy

    H. Narasimha-Iyer;A. Can;B. Roysam;V. Stewart

  • A Broadly Applicable 3-D Neuron Tracing Method Based on Open-Curve Snake

    Yu Wang;Arunachalam Narayanaswamy;Chia-Ling Tsai;Badrinath Roysam;Badrinath Roysam

  • Automated Cell Lineage Construction: A Rapid Method to Analyze Clonal Development Established with Murine Neural Progenitor Cells

    Omar Al-Kofahi;Richard J Radke;Susan K Goderie;Qin Shen

  • Spatio-temporal cell cycle phase analysis using level sets and fast marching methods.

    Dirk R. Padfield;Dirk R. Padfield;Jens Rittscher;Nick Thomas;Badrinath Roysam

  • Light Microscopic Images Reconstructed by Maximum Likelihood Deconvolution

    Timothy J. Holmes;Timothy J. Holmes;Santosh Bhattacharyya;Joshua A. Cooper;David Hanzel

  • Coupled minimum-cost flow cell tracking for high-throughput quantitative analysis

    Dirk R. Padfield;Dirk R. Padfield;Jens Rittscher;Badrinath Roysam

  • Robust 3-D Modeling of Vasculature Imagery Using Superellipsoids

    J.A. Tyrrell;E. di Tomaso;D. Fuja;Ricky Tong

  • Hierarchical, model-based merging of multiple fragments for improved three-dimensional segmentation of nuclei.

    Gang Lin;Monica K. Chawla;Kathy Olson;John F. Guzowski

  • Computational prediction of neural progenitor cell fates.

    Andrew R Cohen;Andrew R Cohen;Francisco L A F Gomes;Badrinath Roysam;Michel Cayouette;Michel Cayouette

  • Associative image analysis: a method for automated quantification of 3D multi-parameter images of brain tissue

    Christopher S Bjornsson;Gang Lin;Yousef Al-Kofahi;Arunachalam Narayanaswamy

Frequent Co-Authors

Ellen A. Robey
Ellen A. Robey University of California, Berkeley
Sally Temple
Sally Temple Rensselaer Polytechnic Institute
Jens Rittscher
Jens Rittscher University of Oxford
Laurence J.N. Cooper
Laurence J.N. Cooper The University of Texas MD Anderson Cancer Center
Carol A. Barnes
Carol A. Barnes University of Arizona
Richard J. Radke
Richard J. Radke Rensselaer Polytechnic Institute
Rakesh K. Jain
Rakesh K. Jain Harvard University
Hanchuan Peng
Hanchuan Peng Southeast University
Stuart C. Sealfon
Stuart C. Sealfon Icahn School of Medicine at Mount Sinai
Anne E. Carpenter
Anne E. Carpenter Broad Institute

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