World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7934
World Ranking
9204
National Ranking
3917

Overview

Tolga Tasdizen is affiliated with the University of Utah in the United States. Their research spans several fields, primarily focusing on computer science and medicine. Within these domains, their notable subfields of study include artificial intelligence, computer vision and pattern recognition, radiology, nuclear medicine and imaging, transportation, and cardiology and cardiovascular medicine.

Their research topics cover a range of applications and interdisciplinary themes. These include:

  • AI in cancer detection
  • Urban transport and accessibility
  • Radiomics and machine learning in medical imaging
  • ECG monitoring and analysis
  • COVID-19 diagnosis using AI
  • Urban green space and health
  • Health disparities and outcomes

Tasdizen has collaborated frequently with several researchers, including:

  • Quynh C. Nguyen
  • Beatrice S. Knudsen
  • Luther W. McDonald
  • Ravi Ranjan
  • Ricardo Bigolin Lanfredi

Their publication record features papers in notable venues such as arXiv (Cornell University), Computing in Cardiology, International Journal of Environmental Research and Public Health, Microscopy and Microanalysis, and Medical Image Analysis.

Some recent publications include:

  • "Using 164 Million Google Street View Images to Derive Built Environment Predictors of COVID-19 Cases," 2020, International Journal of Environmental Research and Public Health
  • "Intelligent Damage Classification and Estimation in Power Distribution Poles Using Unmanned Aerial Vehicles and Convolutional Neural Networks," 2020, IEEE Transactions on Smart Grid
  • "Health and the built environment in United States cities: measuring associations using Google Street View-derived indicators of the built environment," 2020, BMC Public Health
  • "REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays," 2022, Scientific Data
  • "Unified generative adversarial networks for multimodal segmentation from unpaired 3D medical images," 2020, Medical Image Analysis

Best Publications

  • Regularization with stochastic transformations and perturbations for deep semi-supervised learning

    Mehdi Sajjadi;Mehran Javanmardi;Tolga Tasdizen

  • Curvature-based transfer functions for direct volume rendering: methods and applications

    G. Kindlmann;R. Whitaker;T. Tasdizen;T. Moller

  • Particle-Based Simulation of Fluids

    Simon Premoze;Tolga Tasdizen;James Bigler;Aaron E. Lefohn

  • Crowdsourcing the creation of image segmentation algorithms for connectomics

    Ignacio Arganda-Carreras;Srinivas C. Turaga;Daniel R. Berger;Dan Cireşan

  • Geometric surface smoothing via anisotropic diffusion of normals

    Tolga Tasdizen;Ross Whitaker;Paul Burchard;Stanley Osher

  • Principal Neighborhood Dictionaries for Nonlocal Means Image Denoising

    T. Tasdizen

  • Exploring the retinal connectome

    James R. Anderson;Bryan W. Jones;Carl B. Watt;Margaret V. Shaw

  • Geometric surface processing via normal maps

    Tolga Tasdizen;Ross Whitaker;Paul Burchard;Stanley Osher

  • A computational framework for ultrastructural mapping of neural circuitry.

    James R Anderson;Bryan W Jones;Jia-Hui Yang;Marguerite V Shaw

  • Manifold modeling for brain population analysis

    Samuel Gerber;Tolga Tasdizen;P. Thomas Fletcher;Sarang C. Joshi

  • Adaptive Markov modeling for mutual-information-based, unsupervised MRI brain-tissue classification.

    Suyash P. Awate;Tolga Tasdizen;Norman L. Foster;Ross T. Whitaker

  • Axon tracking in serial block-face scanning electron microscopy

    Elizabeth Jurrus;Melissa Hardy;Tolga Tasdizen;P. Thomas Fletcher

  • Temporally constrained reconstruction of dynamic cardiac perfusion MRI.

    Ganesh Adluru;Suyash P. Awate;Tolga Tasdizen;Ross T. Whitaker

  • Statistically quantitative volume visualization

    J.M. Kniss;R. Van Uitert;A. Stephens;G.-S. Li

  • Improving the stability of algebraic curves for applications

    T. Tasdizen;J.-P. Tarel;D.B. Cooper

  • Principal components for non-local means image denoising

    T. Tasdizen

  • Detection of neuron membranes in electron microscopy images using a serial neural network architecture.

    Elizabeth Jurrus;Elizabeth Jurrus;Antonio R.C. Paiva;Shigeki Watanabe;James R. Anderson

  • Decoding crystallography from high-resolution electron imaging and diffraction datasets with deep learning

    J. A. Aguiar;M. L. Gong;M. L. Gong;R. R. Unocic;T. Tasdizen

  • Domain adaptation for biomedical image segmentation using adversarial training

    Mehran Javanmardi;Tolga Tasdizen

  • Image Segmentation with Cascaded Hierarchical Models and Logistic Disjunctive Normal Networks

    Mojtaba Seyedhosseini;Mehdi Sajjadi;Tolga Tasdizen

Frequent Co-Authors

Ross T. Whitaker
Ross T. Whitaker University of Utah
Mujdat Cetin
Mujdat Cetin University of Rochester
Mark H. Ellisman
Mark H. Ellisman University of California, San Diego
Robert E. Marc
Robert E. Marc University of Utah
Norman L. Foster
Norman L. Foster University of Utah
Erik M. Jorgensen
Erik M. Jorgensen University of Utah
Julie R. Korenberg
Julie R. Korenberg University of Utah
Albert Cardona
Albert Cardona University of Cambridge
Andrew P. Lieberman
Andrew P. Lieberman University of Michigan–Ann Arbor
Raymond R. Unocic
Raymond R. Unocic Oak Ridge National Laboratory

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