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Computer Science

D-Index
53
Citations
16549
World Ranking
4714
National Ranking
2188

Overview

Mert R. Sabuncu is affiliated with Cornell University in the United States. Their research focuses primarily on Medicine and Computer Science, with particular attention to subfields such as Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Cognitive Neuroscience, Computer Vision and Pattern Recognition, and Biomedical Engineering.

Sabuncu's work covers several key topics including:

  • Advanced MRI Techniques and Applications
  • Functional Brain Connectivity Studies
  • Radiomics and Machine Learning in Medical Imaging
  • Machine Learning in Healthcare
  • Medical Imaging Techniques and Applications
  • Neural dynamics and brain function
  • Advanced Neural Network Applications

The scientist has contributed to numerous publications, with notable recent papers including:

  • "Heritability and interindividual variability of regional structure-function coupling" (2021), published in Nature Communications
  • "Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI" (2020), published in IEEE Transactions on Computational Imaging
  • "Heritability of individualized cortical network topography" (2021), published in Proceedings of the National Academy of Sciences
  • "Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke" (2020), published in Neurorehabilitation and Neural Repair
  • "Fidelity imposed network edit (FINE) for solving ill-posed image reconstruction" (2020), published in NeuroImage

Their frequent coauthors include:

  • Amy Kuceyeski
  • Heejong Kim
  • Adrian V. Dalca
  • Alan Q. Wang
  • Keith Jamison

Sabuncu publishes extensively in several venues, particularly:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Lecture Notes in Computer Science
  • NeuroImage
  • Medical Image Analysis

Their publication record includes a strong presence in preprint repositories and journals that intersect both computational imaging and neuroscience.

Best Publications

  • The influence of head motion on intrinsic functional connectivity MRI.

    Koene R.A. Van Dijk;Mert R. Sabuncu;Mert R. Sabuncu;Randy L. Buckner

  • VoxelMorph: A Learning Framework for Deformable Medical Image Registration

    Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;John Guttag

  • Generalized cross entropy loss for training deep neural networks with noisy labels

    Zhilu Zhang;Mert R. Sabuncu

  • Generalized Cross Entropy Loss for Training Deep Neural Networks with Noisy Labels

    Zhilu Zhang;Mert R. Sabuncu

  • Multi-Atlas Segmentation of Biomedical Images: A Survey

    Juan Eugenio Iglesias;Mert Rory Sabuncu

  • Spatial Topography of Individual-Specific Cortical Networks Predicts Human Cognition, Personality, and Emotion.

    Ru Kong;Jingwei Li;Csaba Orban;Mert R Sabuncu

  • An Unsupervised Learning Model for Deformable Medical Image Registration

    Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;Adrian V. Dalca

  • An Unsupervised Learning Model for Deformable Medical Image Registration

    Guha Balakrishnan;Amy Zhao;Mert R. Sabuncu;John Guttag

  • A Generative Model for Image Segmentation Based on Label Fusion

    Mert R Sabuncu;B T Thomas Yeo;K Van Leemput;Bruce Fischl

  • Statistical analysis of longitudinal neuroimage data with Linear Mixed Effects models.

    Jorge L. Bernal-Rusiel;Douglas N. Greve;Martin Reuter;Bruce Fischl

  • Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces.

    Adrian V. Dalca;Adrian V. Dalca;Adrian V. Dalca;Guha Balakrishnan;John V. Guttag;Mert R. Sabuncu

  • Global signal regression strengthens association between resting-state functional connectivity and behavior

    Jingwei Li;Ru Kong;Raphaël Liégeois;Csaba Orban

  • Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration

    B.T.T. Yeo;M.R. Sabuncu;T. Vercauteren;N. Ayache

  • Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics.

    Tong He;Ru Kong;Avram J. Holmes;Minh Nguyen

  • Neurobiological basis of head motion in brain imaging

    Ling-Li Zeng;Ling-Li Zeng;Danhong Wang;Michael D. Fox;Michael D. Fox;Mert Sabuncu

  • Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

    Adrian V. Dalca;Guha Balakrishnan;John V. Guttag;Mert R. Sabuncu

  • Measuring and comparing brain cortical surface area and other areal quantities.

    Anderson M. Winkler;Mert R. Sabuncu;Mert R. Sabuncu;B. T. Thomas Yeo;Bruce Fischl;Bruce Fischl

  • Function-based Intersubject Alignment of Human Cortical Anatomy

    Mert R. Sabuncu;Benjamin D. Singer;Bryan Conroy;Ronald E. Bryan;Ronald E. Bryan

  • Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

    Adrian V. Dalca;Guha Balakrishnan;John Guttag;Mert R. Sabuncu

  • Heritability and interindividual variability of regional structure-function coupling.

    Zijin Gu;Keith Wakefield Jamison;Mert Rory Sabuncu;Amy Kuceyeski

  • Clinical Prediction from Structural Brain MRI Scans: A Large-Scale Empirical Study

    Mert R. Sabuncu;Mert R. Sabuncu;Ender Konukoglu

  • Machine learning in resting-state fMRI analysis.

    Meenakshi Khosla;Keith Jamison;Gia H. Ngo;Amy Kuceyeski

  • Spatiotemporal linear mixed effects modeling for the mass-univariate analysis of longitudinal neuroimage data

    Jorge L. Bernal-Rusiel;Martin Reuter;Douglas N. Greve;Bruce Fischl

  • Heritability analysis with repeat measurements and its application to resting-state functional connectivity.

    Tian Ge;Avram J. Holmes;Randy L. Buckner;Jordan W. Smoller

  • Deep-Learning-Based Optimization of the Under-Sampling Pattern in MRI

    Cagla D. Bahadir;Alan Q. Wang;Adrian V. Dalca;Mert R. Sabuncu

Frequent Co-Authors

B.T. Thomas Yeo
B.T. Thomas Yeo National University of Singapore
Avram J. Holmes
Avram J. Holmes Yale University
Simon B. Eickhoff
Simon B. Eickhoff Heinrich Heine University Düsseldorf
Danilo Bzdok
Danilo Bzdok Montreal Neurological Institute and Hospital
Hesheng Liu
Hesheng Liu Peking University
Bruce Fischl
Bruce Fischl Harvard University
R. Nathan Spreng
R. Nathan Spreng McGill University

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