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Computer Science

D-Index
34
Citations
5952
World Ranking
12060
National Ranking
4914

Overview

Gustavo K. Rohde is affiliated with the University of Virginia in the United States. Their research spans multiple fields, notably Medicine and Computer Science, with substantial contributions in both domains.

The primary areas of study include:

  • Medicine
  • Computer Science

Within these, notable subfields of study are:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Infectious Diseases
  • Neurology

Their work covers significant topics, including:

  • COVID-19 Clinical Research Studies
  • Platelet Disorders and Treatments
  • Retinal Imaging and Analysis
  • Heparin-Induced Thrombocytopenia and Thrombosis
  • Anomaly Detection Techniques and Applications
  • Image and Signal Denoising Methods
  • Digital Imaging for Blood Diseases

Gustavo K. Rohde's recent publications illustrate a blend of biomedical engineering, image analysis, and clinical research. Selected papers include:

  • Massive image-based single-cell profiling reveals high levels of circulating platelet aggregates in patients with COVID-19, 2021, Nature Communications
  • Enabling early detection of osteoarthritis from presymptomatic cartilage texture maps via transport-based learning, 2020, Proceedings of the National Academy of Sciences
  • Facial Weakness Analysis and Quantification of Static Images, 2020, IEEE Journal of Biomedical and Health Informatics
  • Video-Based Facial Weakness Analysis, 2021, IEEE Transactions on Biomedical Engineering
  • Transport-based pattern recognition versus deep neural networks in underwater OAM communications, 2021, Journal of the Optical Society of America A

Their frequent coauthors reflect active collaboration with researchers across related fields and include:

  • Abu Hasnat Mohammad Rubaiyat
  • Mohammad Shifat-E-Rabbi
  • Yan Zhuang
  • Xuwang Yin
  • Masako Nishikawa

Gustavo K. Rohde's publishing activity is concentrated in several venues, notably:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • Cytometry Part A
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the National Academy of Sciences

Best Publications

  • New modeling and experimental framework to characterize hindered and restricted water diffusion in brain white matter

    Yaniv Assaf;Yaniv Assaf;Raisa Z. Freidlin;Gustavo K. Rohde;Peter J. Basser

  • Comprehensive Approach for Correction of Motion and Distortion in Diffusion-Weighted MRI

    G.K. Rohde;A.S. Barnett;P.J. Basser;S. Marenco

  • The adaptive bases algorithm for intensity-based nonrigid image registration

    G.K. Rohde;A. Aldroubi;B.M. Dawant

  • Optimal Mass Transport: Signal processing and machine-learning applications

    Soheil Kolouri;Se Rim Park;Matthew Thorpe;Dejan Slepcev

  • A Linear Optimal Transportation Framework for Quantifying and Visualizing Variations in Sets of Images

    Wei Wang;Dejan Slepčev;Saurav Basu;John A. Ozolek

  • An In-Depth Survey of Underwater Image Enhancement and Restoration

    Miao Yang;Jintong Hu;Chongyi Li;Gustavo Rohde

  • Sliced Wasserstein Kernels for Probability Distributions

    Soheil Kolouri;Yang Zou;Gustavo K. Rohde

  • Generalized Sliced Wasserstein Distances

    Soheil Kolouri;Kimia Nadjahi;Umut Simsekli;Roland Badeau

  • Robust efficient estimation of heart rate pulse from video

    Shuchang Xu;Lingyun Sun;Gustavo Kunde Rohde

  • Deformation‐based nuclear morphometry: Capturing nuclear shape variation in HeLa cells

    Gustavo K. Rohde;Alexandre J. S. Ribeiro;Kris N. Dahl;Robert F. Murphy

  • Detection and Classification of Thyroid Follicular Lesions Based on Nuclear Structure from Histopathology Images

    Wei Wang;John A. Ozolek;Gustavo K. Rohde

  • Transport-based single frame super resolution of very low resolution face images

    Soheil Kolouri;Gustavo K. Rohde

  • Sliced Wasserstein Distance for Learning Gaussian Mixture Models

    Soheil Kolouri;Gustavo K. Rohde;Heiko Hoffmann

  • Detecting and visualizing cell phenotype differences from microscopy images using transport-based morphometry

    Saurav Basu;Soheil Kolouri;Gustavo K. Rohde

  • Regional distribution of measurement error in diffusion tensor imaging.

    Stefano Marenco;Robert Rawlings;Gustavo K. Rohde;Alan S. Barnett

  • An Optimal Transportation Approach for Nuclear Structure-Based Pathology

    Wei Wang;J A Ozolek;Dejan Slepčev;Ann B Lee

  • The Radon Cumulative Distribution Transform and Its Application to Image Classification

    Soheil Kolouri;Se Rim Park;Gustavo K. Rohde

  • Sliced-Wasserstein Autoencoder: An Embarrassingly Simple Generative Model.

    Soheil Kolouri;Charles E. Martin;Gustavo K. Rohde

  • A flexible and robust approach for segmenting cell nuclei from 2D microscopy images using supervised learning and template matching

    Cheng Chen;Wei Wang;Wei Wang;John A. Ozolek;Gustavo K. Rohde

  • Accurate diagnosis of thyroid follicular lesions from nuclear morphology using supervised learning

    John A. Ozolek;Akif Burak Tosun;Wei Wang;Cheng Chen

  • Sliced Wasserstein Auto-Encoders.

    Soheil Kolouri;Phillip E. Pope;Charles E. Martin;Gustavo K. Rohde

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

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

  • Epithelium-Stroma Classification via Convolutional Neural Networks and Unsupervised Domain Adaptation in Histopathological Images.

    Yue Huang;Han Zheng;Chi Liu;Xinghao Ding

Frequent Co-Authors

Akram Aldroubi
Akram Aldroubi Vanderbilt University
Robert F. Murphy
Robert F. Murphy Carnegie Mellon University
Yue Huang
Yue Huang Xiamen University
Benoit M. Dawant
Benoit M. Dawant Vanderbilt University
Arthur F. Kramer
Arthur F. Kramer Northeastern University
Xinghao Ding
Xinghao Ding Xiamen University
Kirk I. Erickson
Kirk I. Erickson University of Pittsburgh
Edward McAuley
Edward McAuley University of Illinois at Urbana-Champaign
Yutaka Yatomi
Yutaka Yatomi University of Tokyo
Jelena Kovacevic
Jelena Kovacevic New York University

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