World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
14185
World Ranking
2637
National Ranking
1305

Overview

Deniz Erdogmus is affiliated with Northeastern University in the United States and has a substantial body of work spanning neuroscience, medicine, and computer science. Their research integrates computational methods with biomedical applications, drawing on expertise in multiple interdisciplinary fields.

Their main fields of study include:

  • Neuroscience
  • Medicine
  • Computer Science

Subfields prominently represented in their work include:

  • Cognitive Neuroscience
  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Biomedical Engineering
  • Pediatrics, Perinatology and Child Health

Deniz Erdogmus's research covers several key topics:

  • EEG and Brain-Computer Interfaces
  • Muscle activation and electromyography studies
  • Retinopathy of Prematurity Studies
  • Neonatal and fetal brain pathology
  • Neural dynamics and brain function
  • Functional Brain Connectivity Studies
  • Motor Control and Adaptation

Their recent publications include:

  • "Improving the study of brain-behavior relationships by revisiting basic assumptions," 2023, Trends in Cognitive Sciences
  • "Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging," 2020, npj Digital Medicine
  • "Learning Invariant Representations From EEG via Adversarial Inference," 2020, IEEE Access
  • "EEG-GNN: Graph Neural Networks for Classification of Electroencephalogram (EEG) Signals," 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • "Comparing supervised and unsupervised approaches to emotion categorization in the human brain, body, and subjective experience," 2020, Scientific Reports

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • Zenodo (CERN European Organization for Nuclear Research)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
  • Ophthalmology Retina

Collaborations are a significant part of their work, with frequent co-authors being:

  • Tales Imbiriba
  • J. Peter Campbell
  • Michael F. Chiang
  • Susan Ostmo
  • R.V. Paul Chan

Best Publications

  • Tversky loss function for image segmentation using 3D fully convolutional deep networks

    Seyed Sadegh Mohseni Salehi;Seyed Sadegh Mohseni Salehi;Deniz Erdogmus;Ali Gholipour

  • Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

    James M. Brown;J. Peter Campbell;Andrew Beers;Ken Chang

  • An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems

    D. Erdogmus;J.C. Principe

  • The Future of Human-in-the-Loop Cyber-Physical Systems

    G. Schirner;D. Erdogmus;K. Chowdhury;T. Padir

  • Guest Editorial: Independent Component Analysis and Blind Source Separation

    Allan Kardec Barros;José Carlos Príncipe;Deniz Erdogmus

  • Generalized information potential criterion for adaptive system training

    D. Erdogmus;J.C. Principe

  • Optimizing the P300-based brain–computer interface: current status, limitations and future directions

    J N Mak;Y Arbel;J W Minett;L M McCane

  • Auto-Context Convolutional Neural Network (Auto-Net) for Brain Extraction in Magnetic Resonance Imaging

    Seyed Sadegh Mohseni Salehi;Deniz Erdogmus;Ali Gholipour

  • Locally Defined Principal Curves and Surfaces

    Umut Ozertem;Deniz Erdogmus

  • Feature extraction using information-theoretic learning

    K.E. Hild;D. Erdogmus;K. Torkkola;J.C. Principe

  • Blind source separation using Renyi's mutual information

    K.E. Hild;D. Erdogmus;J. Principe

  • Asymmetric Loss Functions and Deep Densely Connected Networks for Highly Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection

    Seyed Raein Hashemi;Seyed Sadegh Mohseni Salehi;Deniz Erdogmus;Sanjay P. Prabhu

  • Quantitative change of EEG and respiration signals during mindfulness meditation

    Asieh Ahani;Helane Wahbeh;Hooman Nezamfar;Meghan Miller

  • Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity.

    Travis K Redd;John Peter Campbell;James M Brown;Sang Jin Kim

  • A comparison of optimal MIMO linear and nonlinear models for brain-machine interfaces.

    S. P. Kim;J. C. Sanchez;Y. N. Rao;D. Erdogmus

  • The Cauchy–Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels

    Robert Jenssen;Jose C. Principe;Deniz Erdogmus;Torbjørn Eltoft

  • A Novel LMS Algorithm Applied to Adaptive Noise Cancellation

    J.M. Gorriz;J. Ramirez;S. Cruces-Alvarez;C.G. Puntonet

  • Clustering using Renyi's entropy

    R. Jenssen;K.E. Hild;D. Erdogmus;J.C. Principe

  • SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging

    Erik G. Larsson;Deniz Erdogmus;Rui Yan;Jose C. Principe

  • Computer-Based Image Analysis for Plus Disease Diagnosis in Retinopathy of Prematurity: Performance of the “i-ROP” System and Image Features Associated With Expert Diagnosis

    Esra Ataer-Cansizoglu;Veronica Bolon-Canedo;J. Peter Campbell;Alican Bozkurt

  • Structured Adversarial Attack: Towards General Implementation and Better Interpretability

    Kaidi Xu;Sijia Liu;Pu Zhao;Pin-Yu Chen

  • Information Theoretic Learning.

    Deniz Erdogmus;José Carlos Príncipe

Frequent Co-Authors

Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University
Stratis Ioannidis
Stratis Ioannidis Northeastern University
Jennifer G. Dy
Jennifer G. Dy Northeastern University
Misha Pavel
Misha Pavel Northeastern University
Dana H. Brooks
Dana H. Brooks Northeastern University
Robert Jenssen
Robert Jenssen University of Tromsø - The Arctic University of Norway
Barry Oken
Barry Oken Oregon Health & Science University
Toshiaki Koike-Akino
Toshiaki Koike-Akino Mitsubishi Electric (United States)
Ignacio Santamaria
Ignacio Santamaria University of Cantabria
Ali Gholipour
Ali Gholipour Harvard University

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