Deniz Erdogmus

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jose principeprofessor of ECE, U. of FloridaPotvrđena adresa e-pošte na cnel.ufl.edu
Jayashree Kalpathy-CramerUniversity of ColoradoPotvrđena adresa e-pošte na cuanschutz.edu
Michael F. ChiangDirector, National Eye Institute, National Institutes of HealthPotvrđena adresa e-pošte na nih.gov
J Peter CampbellOregon Health & Science UniversityPotvrđena adresa e-pošte na ohsu.edu
Susan OstmoOregon Health & Science UniversityPotvrđena adresa e-pošte na ohsu.edu
Jennifer DyElectrical and Computer Engineering, Northeastern UniversityPotvrđena adresa e-pošte na ece.neu.edu
R.V. Paul Chan, MD, MSc, MBAProfessor of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University ofPotvrđena adresa e-pošte na uic.edu
Stratis IoannidisNortheastern UniversityPotvrđena adresa e-pošte na neu.edu
Murat AkcakayaAssociate Professor of Electrical Engineering, University of PittsburghPotvrđena adresa e-pošte na pitt.edu
Yadu RaoSenior Manager, Applied Scientist, Amazon Inc.Potvrđena adresa e-pošte na amazon.com
Misha PavelNortheastern UniversityPotvrđena adresa e-pošte na neu.edu
Umut OzertemSenior Staff SWE at GooglePotvrđena adresa e-pošte na google.com
Umut OrhanHoneywell International Inc.Potvrđena adresa e-pošte na honeywell.com
Santosh MathanGooglePotvrđena adresa e-pošte na google.com
Barry S OkenOregon Health & Science UniversityPotvrđena adresa e-pošte na ohsu.edu
Esra Ataer-CansizogluFacebookPotvrđena adresa e-pošte na fb.com
Dana BrooksResearch Professor / Professor Emeritus of Electrical and Computer Engineering, NortheasternPotvrđena adresa e-pošte na ece.neu.edu
Hooman NezamfarNortheastern UniversityPotvrđena adresa e-pošte na ece.neu.edu
James M. BrownAssociate Professor | University of LincolnPotvrđena adresa e-pošte na lincoln.ac.uk
Seyed Sadegh Mohseni SalehiPrincipal Machine Learning Scientist, OverjetPotvrđena adresa e-pošte na overjet.ai

Prati

Deniz Erdogmus

Professor of ECE, Northeastern University

Potvrđena adresa e-pošte na ece.neu.edu - Početna stranica

Machine Learning Signal and Image Analysis Brain Interfaces Cyber-Human Systems


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Information theoretic learning: Renyi's entropy and kernel perspectives JC Principe Springer Science & Business Media, 2010	1923	2010
Tversky loss function for image segmentation using 3D fully convolutional deep networks SSM Salehi, D Erdogmus, A Gholipour International workshop on machine learning in medical imaging, 379-387, 2017	1088	2017
Automated diagnosis of plus disease in retinopathy of prematurity using deep convolutional neural networks JM Brown, JP Campbell, A Beers, K Chang, S Ostmo, RVP Chan, J Dy, ... JAMA ophthalmology 136 (7), 803-810, 2018	564	2018
The future of human-in-the-loop cyber-physical systems G Schirner, D Erdogmus, K Chowdhury, T Padir Computer 46 (1), 36-45, 2013	481	2013
An error-entropy minimization algorithm for supervised training of nonlinear adaptive systems D Erdogmus, JC Principe IEEE Transactions on Signal Processing 50 (7), 1780-1786, 2002	422	2002
Generalized information potential criterion for adaptive system training D Erdogmus, JC Principe IEEE Transactions on Neural Networks 13 (5), 1035-1044, 2002	284	2002
Auto-context convolutional neural network (auto-net) for brain extraction in magnetic resonance imaging SSM Salehi, D Erdogmus, A Gholipour IEEE transactions on medical imaging 36 (11), 2319-2330, 2017	261	2017
Locally defined principal curves and surfaces U Ozertem, D Erdogmus The Journal of Machine Learning Research 12, 1249-1286, 2011	261	2011
Optimizing the P300-based brain–computer interface: current status, limitations and future directions JN Mak, Y Arbel, JW Minett, LM McCane, B Yuksel, D Ryan, D Thompson, ... Journal of neural engineering 8 (2), 025003, 2011	261	2011
Blind source separation using Renyi's mutual information KE Hild, D Erdogmus, J Príncipe IEEE Signal Processing Letters 8 (6), 174-176, 2001	212	2001
Asymmetric loss functions and deep densely-connected networks for highly-imbalanced medical image segmentation: Application to multiple sclerosis lesion detection SR Hashemi, SSM Salehi, D Erdogmus, SP Prabhu, SK Warfield, ... IEEE Access 7, 1721-1735, 2018	211	2018
Feature extraction using information-theoretic learning KE Hild, D Erdogmus, K Torkkola, JC Principe IEEE Transactions on Pattern Analysis and Machine Intelligence 28 (9), 1385-1392, 2006	211	2006
Quantitative change of EEG and respiration signals during mindfulness meditation A Ahani, H Wahbeh, H Nezamfar, M Miller, D Erdogmus, B Oken Journal of neuroengineering and rehabilitation 11, 1-11, 2014	195	2014
Structured adversarial attack: Towards general implementation and better interpretability K Xu, S Liu, P Zhao, PY Chen, H Zhang, Q Fan, D Erdogmus, Y Wang, ... arXiv preprint arXiv:1808.01664, 2018	189	2018
Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity TK Redd, JP Campbell, JM Brown, SJ Kim, S Ostmo, RVP Chan, J Dy, ... British Journal of Ophthalmology 103 (5), 580-584, 2019	160	2019
A comparison of optimal MIMO linear and nonlinear models for brain–machine interfaces SP Kim, JC Sanchez, YN Rao, D Erdogmus, JM Carmena, MA Lebedev, ... Journal of neural engineering 3 (2), 145, 2006	157	2006
The Cauchy–Schwarz divergence and Parzen windowing: Connections to graph theory and Mercer kernels R Jenssen, JC Principe, D Erdogmus, T Eltoft Journal of the Franklin Institute 343 (6), 614-629, 2006	153	2006
A novel LMS algorithm applied to adaptive noise cancellation JM Górriz, J Ramírez, S Cruces-Alvarez, CG Puntonet, EW Lang, ... IEEE Signal Processing Letters 16 (1), 34-37, 2008	151	2008
Clustering using Renyi's entropy R Jenssen, KE Hild, D Erdogmus, JC Principe, T Eltoft Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003	148	2003
SNR-optimality of sum-of-squares reconstruction for phased-array magnetic resonance imaging EG Larsson, D Erdogmus, R Yan, JC Principe, JR Fitzsimmons Journal of Magnetic Resonance 163 (1), 121-123, 2003	147	2003

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