Unal 'Zak' Sakoglu
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A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia
‹ Sakoğlu, GD Pearlson, KA Kiehl, YM Wang, AM Michael, VD Calhoun
Magnetic Resonance Materials in Physics, Biology and Medicine 23 (5), 351-366, 2010
Normobaric hyperoxia inhibits NADPH oxidase‐mediated matrix metalloproteinase‐9 induction in cerebral microvessels in experimental stroke
W Liu, R Sood, Q Chen, U Sakoglu, J Hendren, ÷ «etin, M Miyake, KJ Liu
Journal of Neurochemistry 107 (5), 1196-1205, 2008
Default-mode-like network activation in awake rodents
J Upadhyay, SJ Baker, P Chandran, L Miller, Y Lee, GJ Marek, U Sakoglu, ...
PloS one 6 (11), e27839, 2011
Spectrally adaptive infrared photodetectors with bias-tunable quantum dots
‹ Sakoğlu, JS Tyo, MM Hayat, S Raghavan, S Krishna
JOSA B 21 (1), 7-17, 2004
An entropy-based evaluation method for knowledge bases of medical information systems
CF Hempelmann, U Sakoglu, VP Gurupur, S Jampana
Expert Systems with Applications 46, 262-273, 2016
Breakdown probabilities for thin heterostructure avalanche photodiodes
MM Hayat, U Sakoglu, OH Kwon, S Wang, JC Campbell, BEA Saleh, ...
IEEE Journal of Quantum Electronics 39 (1), 179-185, 2003
Detector with tunable spectral response
S Krishna, JS Tyo, MM Hayat, S Raghavan, U Sakoglu
US Patent 7,217,951, 2007
EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier
A Subasi, T Tuncer, S Dogan, D Tanko, U Sakoglu
Biomedical Signal Processing and Control 68, 102648, 2021
Paradigm shift in translational neuroimaging of CNS disorders
U Sakoglu, J Upadhyay, CL Chin, P Chandran, SJ Baker, TB Cole, ...
Biochemical Pharmacology 81, 1374-1387, 2011
Semantic requirements sharing approach to develop software systems using concept maps and information entropy: A Personal Health Information System example
VP Gurupur, U Sakoglu, GP Jain, UJ Tanik
Advances in Engineering Software 70, 25-35, 2014
Successful classification of cocaine dependence using brain imaging: a generalizable machine learning approach
M Mete, U Sakoglu, JS Spence, MD Devous, TS Harris, B Adinoff
BMC bioinformatics 17 (13), 49-61, 2016
A data-driven investigation of gray matter–function correlations in schizophrenia during a working memory task
AM Michael, MD King, S Ehrlich, G Pearlson, T White, DJ Holt, ...
Frontiers in Human Neuroscience 5, 2011
Statistical adaptive sensing by detectors with spectrally overlapping bands
‹ Sakoglu, MM Hayat, JS Tyo, P Dowd, S Annamalai, KT Posani, ...
Applied Optics 45 (28), 7224-7234, 2006
Classification of schizophrenia patients vs healthy controls with dynamic functional network connectivity
U Sakoglu, AM Michael, VD Calhoun
Neuroimage 47 (1), S39-41, 2009
An algebraic restoration method for estimating fixed-pattern noise in infrared imagery from a video sequence
U Sakoglu, RC Hardie, MM Hayat, BM Ratliff, JS Tyo
SPIE Annual Conference, 2004, Denver, CO, Applications of Digital Image†…, 2004
Classification of Cocaine Dependent Participants with Dynamic Functional Connectivity from Functional Magnetic Resonance Imaging Data
U Sakoglu, M Mete, J Esquivel, K Rubia, RW Briggs, B Adinoff
Journal of Neuroscience Research 97 (7), 790-803, 2019
Real-time implementation of matched filtering algorithms using adaptive focal-plane array technology
Z Wang, U Sakoglu, S Annamalai, NR Weisse-Bernstein, P Dowd, JS Tyo, ...
Proceedings of SPIE 5546, 73, 2004
Temporal dynamics of functional network connectivity at rest: a comparison of schizophrenia patients and healthy controls
U Sakoglu, VD Calhoun
The 15th Annual Meeting of the Organization for Human Brain Mapping, July†…, 2009
Characterization of BBB permeability in a preclinical model of cryptococcal meningoencephalitis using magnetic resonance imaging
MP Pai, U Sakoglu, SL Peterson, CR Lyons, R Sood
Journal of Cerebral Blood Flow & Metabolism 29 (3), 545-553, 2009
Quantum dot detectors for mid-infrared sensing: bias-controlled spectral tuning and matched filtering
U Sakoglu, Z Wang, MM Hayat, JS Tyo, S Annamalai, P Dowd, S Krishna
Nanosensing: Materials and Devices 5593, 396-407, 2004
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