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Computer Science

D-Index
41
Citations
4656
World Ranking
8998
National Ranking
3818

Overview

Arun Krishnan is a researcher affiliated with Microsoft in the United States. Their primary field of study is Medicine, with a significant focus on various subfields including Ophthalmology, Public Health, Environmental and Occupational Health, Neurology, Radiology, Nuclear Medicine and Imaging, and Physiology. This breadth reflects an interdisciplinary approach to medical research.

The main topics covered in Arun Krishnan's work include:

  • Ocular Surface and Contact Lens
  • Glaucoma and retinal disorders
  • Pain Mechanisms and Treatments
  • Botulinum Toxin and Related Neurological Disorders
  • Cancer Treatment and Pharmacology
  • Corneal surgery and disorders
  • Advanced Glycation End Products research

Among the recent papers authored or co-authored by Arun Krishnan are the following:

  • "In-vivo corneal confocal microscopy: Imaging analysis, biological insights and future directions," 2023, published in Communications Biology
  • "Glucagon-like peptide-1 receptor agonists reverse nerve morphological abnormalities in diabetic peripheral neuropathy," 2024, published in Diabetologia
  • "A cross-sectional study of ocular surface discomfort and corneal nerve dysfunction after paclitaxel treatment for cancer," 2021, published in Scientific Reports
  • "Peripheral neuropathy: an important contributor to physical limitation and morbidity in stages 3 and 4 chronic kidney disease," 2021, published in Nephrology Dialysis Transplantation
  • "Tear film and ocular surface neuropeptides: Characteristics, synthesis, signaling and implications for ocular surface and systemic diseases," 2022, published in Experimental Eye Research

The frequent co-authors associated with Arun Krishnan include:

  • Maria Markoulli
  • Ann M. Poynten
  • Tushar Issar
  • Natalie Kwai
  • Roshan Dhanapalaratnam

Common venues for publication include:

  • Clinical Neurophysiology
  • Optometry and Vision Science
  • Clinical and Experimental Optometry
  • European Journal of Neurology
  • Biomedicines

Arun Krishnan's research spans multiple intersecting disciplines, combining aspects of ophthalmology and neurology with public health considerations, which is reflected in their publication record and areas of frequent investigation.

Best Publications

  • Computer aided diagnostic assistance for medical imaging

    Bhavani Duggirala;Diane S. Paine;Dorin Comaniciu;Arun Krishnan

  • An Entropy-based gene selection method for cancer classification using microarray data

    Unknown

  • Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models

    Toshiro Kubota;Anna K. Jerebko;Maneesh Dewan;Marcos Salganicoff

  • Robust anisotropic Gaussian fitting for volumetric characterization of Pulmonary nodules in multislice CT

    K. Okada;D. Comaniciu;A. Krishnan

  • Imaging device for displaying volume with high quality by real-time three-dimensional reconstruction, and method therefor

    Ali Bani-Hashemi;Arun Krishnan;James Williams;バニ−ハシェミ アリ

  • System and method for whole body landmark detection, segmentation and change quantification in digital images

    Xiaolei Huang;Xiang Zhou;Anna Jerebko;Arun Krishnan

  • Panoramic image acquisition

    A. Krishnan;N. Ahuja

  • IMAGING DEVICE AND METHOD OF PROVIDING HIGH-QUALITY DISPLAY OF VOLUME BY REAL-TIME THREE-DIMENSIONAL RECONSTRUCTION

    Bani-Hashemi Ali;Krishnan Arun;Williams James

  • Large-scale dynamic gene regulatory network inference combining differential equation models with local dynamic Bayesian network analysis

    Unknown

  • CAD (computer-aided decision) support systems and methods

    Arun Krishnan

  • Hierarchical segmentation and identification of thoracic vertebra using learning-based edge detection and coarse- to-fine deformable model

    Jun Ma;Le Lu;Yiqiang Zhan;Xiang Zhou

  • SYSTEME ET PROCEDE POUR UNE SEGMENTATION FONDEE SUR LE RENDU DE VOLUME

    Krishnan Arun

  • Systems and Methods for Computer Aided Diagnosis and Decision Support in Whole-Body Imaging

    Alok Gupta;Arun Krishnan;Xiang Sean Zhou

  • Stratified learning of local anatomical context for lung nodules in CT images

    Dijia Wu;Le Lu;Jinbo Bi;Yoshihisa Shinagawa

  • CAD (computer-aided decision) support for medical imaging using machine learning to adapt CAD process with knowledge collected during routine use of CAD system

    Arun Krishnan;Jonathan Stoeckel

  • Range estimation from focus using a non-frontal imaging camera

    Arun Krishnan;Narendra Ahuja

  • Semantics and CBIR: a medical imaging perspective

    Xiang Sean Zhou;Sonja Zillner;Manuel Moeller;Michael Sintek

  • Robust Learning-Based Parsing and Annotation of Medical Radiographs

    Yimo Tao;Zhigang Peng;A Krishnan;Xiang Sean Zhou

  • Active Scheduling of Organ Detection and Segmentation in Whole-Body Medical Images

    Yiqiang Zhan;Xiang Sean Zhou;Zhigang Peng;Arun Krishnan

  • GridBLAST: a Globus‐based high‐throughput implementation of BLAST in a Grid computing framework

    Unknown

  • Prioritized image visualization from scalable compressed data

    Karthik Krishnan;Michael Wesley Marcellin;Mariappan S. Nadar;Arun Krishnan

  • Automatic Learning of Image Features to Predict Disease

    Arun Krishnan;Xiang Zhou;Martin Huber;Michael Kelm

  • Systems and methods for robust learning based annotation of medical radiographs

    Zhigang Peng;Yimo Tao;Xiang Sean Zhou;Yiqiang Zhan

Frequent Co-Authors

Xiang Sean Zhou
Xiang Sean Zhou Siemens (Germany)
Dorin Comaniciu
Dorin Comaniciu Siemens (United States)
Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Visvanathan Ramesh
Visvanathan Ramesh Goethe University Frankfurt
Jinbo Bi
Jinbo Bi University of Connecticut
Xiaolei Huang
Xiaolei Huang Pennsylvania State University
Glenn Fung
Glenn Fung American Family Insurance
Le Lu
Le Lu Alibaba Group (China)
Michael W. Marcellin
Michael W. Marcellin University of Arizona
Jürgen R. Reichenbach
Jürgen R. Reichenbach Friedrich Schiller University Jena

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