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D-Index & Metrics

Computer Science

D-Index
33
Citations
4111
World Ranking
12759
National Ranking
5148

Overview

Raghu Machiraju is affiliated with The Ohio State University in the United States. Their research work spans multiple fields, primarily focusing on Biochemistry, Genetics and Molecular Biology, with 19 publications, and Medicine, with 9 publications. The subfields of their research include Molecular Biology, Pulmonary and Respiratory Medicine, Artificial Intelligence, Neurology, and Plant Science.

The main topics covered in their work are diverse and include Metabolomics and Mass Spectrometry Studies, Gene Expression and Cancer Classification, Bioinformatics and Genomic Networks, AI in Cancer Detection, Prostate Cancer Treatment and Research, Radiomics and Machine Learning in Medical Imaging, and Glioma Diagnosis and Treatment.

Raghu Machiraju has published in various scientific venues, with frequent contributions to bioRxiv (Cold Spring Harbor Laboratory) totaling three publications, Neuro-Oncology with two publications, and individual papers appearing in Metabolites, ACS Nano, and Scientific Reports.

Recent papers authored or co-authored include:

  • Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources, 2020, Metabolites
  • Autonomous Computing Materials, 2021, ACS Nano
  • Spatial cell type composition in normal and Alzheimers human brains is revealed using integrated mouse and human single cell RNA sequencing, 2020, Scientific Reports
  • AZGP1 deficiency promotes angiogenesis in prostate cancer, 2024, Journal of Translational Medicine
  • Creating intelligent cyberinfrastructure for democratizing AI, 2024, AI Magazine

The researcher has collaborated frequently with several co-authors, including Tara Eicher, Ewy A. Mathé, Jany Chan, Aline Paixão Becker, and Sanghee Cho. Tara Eicher appears as a co-author on six occasions, Ewy A. Mathé and Jany Chan on five each, Aline Paixão Becker on four, and Sanghee Cho on three.

Best Publications

  • The transfer function bake-off

    H. Pfister;B. Lorensen;C. Bajaj;G. Kindlmann

  • 14 – Detection and Visualization of Vortices

    Ming Jiang;Raghu Machiraju;David S. Thompson

  • Evaluation and design of filters using a Taylor series expansion

    T. Moller;R. Machiraju;K. Mueller;R. Yagel

  • Coverage optimization to support security monitoring

    Alan T. Murray;Kamyoung Kim;James W. Davis;Raghu Machiraju

  • Metabolomics and Multi-Omics Integration: A Survey of Computational Methods and Resources

    Tara Eicher;Tara Eicher;Garrett Kinnebrew;Andrew Patt;Andrew Patt;Kyle Spencer

  • A comparison of normal estimation schemes

    Torsten Möller;Raghu Machiraju;Klaus Mueller;Roni Yagel

  • A novel approach to vortex core region detection

    Ming Jiang;Raghu Machiraju;David Thompson

  • Model-based 3D face capture with shape-from-silhouettes

    B. Moghaddam;J. Lee;H. Pfister;Raghu Machiraju

  • Salient iso-surface detection with model-independent statistical signatures

    Shivaraj Tenginakai;Jinho Lee;Raghu Machiraju

  • Steering Image Generation with Wavelet Based Perceptual Metric

    Ajeetkumar Gaddipatti;Raghu Machiraju;Roni Yagel

  • Geometric verification of swirling features in flow fields

    Ming Jiang;Raghu Machiraju;David Thompson

  • A bilinear illumination model for robust face recognition

    J. Lee;B. Moghaddam;H. Pfister;R. Machiraju

  • Analysis of live cell images: Methods, tools and opportunities.

    Thomas A. Nketia;Heba Sailem;Gustavo Rohde;Raghu Machiraju

  • Robust 3D reconstruction and identification of dendritic spines from optical microscopy imaging.

    Firdaus Janoos;Kishore Mosaliganti;Xiaoyin Xu;Xiaoyin Xu;Raghu Machiraju

  • Reconstruction error characterization and control: a sampling theory approach

    R. Machiraju;R. Yagel

  • Predictive models for pressure ulcers from intensive care unit electronic health records using Bayesian networks.

    Pacharmon Kaewprag;Cheryl Newton;Brenda Vermillion;Brenda Vermillion;Sookyung Hyun

  • Finding optimal views for 3D face shape modeling

    Jinho Lee;B. Moghaddam;H. Pfister;R. Machiraju

  • Design of accurate and smooth filters for function and derivative reconstruction

    Unknown

  • An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols

    Chaitanya Kulkarni;Wei Xu;Alan Ritter;Raghu Machiraju

  • Design of accurate and smooth filters for function and derivative reconstruction

    Torsten Möller;Klaus Mueller;Yair Kurzion;Raghu Machiraju

  • Path-based control of smoke simulations

    Yootai Kim;Raghu Machiraju;David Thompson

  • Silhouette-Based 3D Face Shape Recovery

    Jinho Lee;Baback Moghaddam;Hanspeter Pfister;Raghu Machiraju

  • Microscopic Image Analysis for Life Science Applications

    Jens Rittscher;Raghu Machiraju;Stephen T. C. Wong

Frequent Co-Authors

Gustavo Leone
Gustavo Leone Medical University of South Carolina
Roni Yagel
Roni Yagel InSightec (Israel)
Hanspeter Pfister
Hanspeter Pfister Harvard University
Jens Rittscher
Jens Rittscher University of Oxford
Joel H. Saltz
Joel H. Saltz Stony Brook University
Torsten Möller
Torsten Möller University of Vienna
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University
Alain de Bruin
Alain de Bruin Utrecht University
Alan Ritter
Alan Ritter Georgia Institute of Technology
Klaus Mueller
Klaus Mueller Stony Brook University

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