Publications (94)
As of 05/2022, in reverse temporal order. Most have full-text access via
NCBI. Links to most of the full text copies are also available on http://sce.uhcl.edu/sakoglu under
“Publications”.
J: Journal, P: Patent, C: Conference, BC: Book Chapter, O: Other.
Google Scholar Link: https://scholar.google.com/citations?hl=en&user=Btc4-gcAAAAJ.
Patents (1):
[P01] “Detector with
Tunable Spectral Response”, Krishna S, Tyo JS, Hayat MM, Raghavan S, Sakoglu U, US Patent #7,217,951,
issued in 2007 (2007). [Active & licensed patent, licensed in 2010]
Book Chapters (1):
Peer-reviewed/Refereed
Published Journal Papers (21):[J21] Subasi A, Tuncer T, Dogan S, Tanko D, Sakoglu U, "EEG-based emotion recognition using tunable Q wavelet transform and rotation forest ensemble classifier," Biomedical Signal Processing and Control Journal, Vol 68, 102648, July 2021.
https://doi.org/10.1016/j.bspc.2021.102648
[J20] Cetin O., Seymen V., Sakoglu U, "Multiple sclerosis lesion detection in multimodal MRI using simple clustering-based segmentation and classification," Informatics in Medicine Unlocked Vol .20, 100409 1-10, Elsevier (2020). https://doi.org/10.1016/j.imu.2020.100409
Peer-reviewed, Presented and Published Conference Proceeding Papers (14) and Abstracts (55):
[C64] Sakoglu U, Minton M, “Development of an algebraic nonuniformity correction algorithm for hexagonally-sampled infrared imagery,“ Proc. SPIE 11503, Infrared Sensors, Devices, and Applications X, 115030A (August 2020); https://doi.org/10.1117/12.2568156
Other(2):
[J19] Sakoglu U, Mete M, Esquivel J, Rubia K, Briggs
R, Adinoff B, “Classification
of Cocaine Dependent Subjects with Dynamic Functional Connectivity from
Functional Magnetic Resonance Imaging Data,” Journal of Neuroscience Research, Wiley, Vol. 97(7), pp.790-803 (2019). [pdf, suppl.]
[J18] Gopinath
K, Sakoglu U, Crosson B, Haley RW, “Exploring Brain Mechanisms
Underlying Gulf War Illness with Group ICA based Analysis of fMRI Resting State
Network,” Neuroscience
Letters, Elsevier, Vol. 710, pp. 136-141 (2019). [pdf, suppl.]
[J17] Mete M, Sakoglu
U, Spence JS, Devous MD, Harris TS, Adinoff B, “Successful Classification
of Cocaine Dependence Using SPECT Imaging: A Machine Learning Approach,” BMC Bioinformatics, Vol. 17 (Suppl. 13),
pp. 367-379 (2016). [pdf]
[J16] Kacar S and Sakoglu U, “Design of a Novel Biomedical Signal
Processing and Analysis Tool for Functional Neuroimaging,” Computer Methods and Programs in Biomedicine, Elsevier, Vol. 125,
pp. 46-57 (2016). [pdf]
[J15] Hempelmann CF,
Sakoglu U, Gurupur VP, Jampana S, “An entropy-based
evaluation method for knowledge bases of medical information systems,” Expert Systems with Applications,
Elsevier, Vol. 46, pp. 272-263 (2016). [pdf]
[J14]
Akgun D, Sakoglu U, Esquivel J, Adinoff B, Mete M, “GPU accelerated dynamic
functional connectivity analysis for functional MRI data,” Computerized Medical Imaging and Graphics, Elsevier, Vol. 43, pp.
53-63 (2015). [pdf]
[J13] Gurupur VP, Sakoglu U, Jain GP, Tanik UJ, “Semantic requirements
sharing approach to develop software systems using concept maps and information
entropy: A Personal Health Information System example,” Advances in Engineering Software Journal, Elsevier, Vol. 70 pp.
25-35 (2014). [pdf]
[J12] Sakoglu U, Upadhyay J,
Chin C-L, Chandran P, Baker SJ, Cole T, Fox G, Day M, Luo F, “Paradigm shift in translational neuroimaging
of CNS disorders,” Biochemical
Pharmacology, Translational Medicine
Special Issue, Elsevier, Vol. 81 Iss. 12, pp. 1374-1387, (2012). [pdf]
[J11] Upadhyay, Baker SJ, Chandran P, Miller L, Lee Y,
Marek GJ, Sakoglu U, Chin C-L, Luo F, Fox G, Day
M, “Default-Mode-Like Network Activation
in Awake Rodents,” PLoS One, Vol. 6
Iss. 11, pp. e27839 (2011). [pdf] [seminal paper on discovering the
default-mode-like network in rodent brain, #citations=70+]
[J10] Michael AM, King
MD, Ehrlich S, Pearlson GD, White T, Holt DJ, Andreasen N, Sakoglu U, Ho B-C, Schulz SC, Calhoun VD, “A data-driven
investigation of gray matter-function correlations in schizophrenia during a
working memory task,” Frontiers in Human
Neuroscience Vol. 5 No. 71 pp. 1-13 (2011). [pdf]
[J09] Sakoglu U, Pearlson GD, Kiehl KA, Wang YM, Michael AM, Calhoun
VD, “A
Method for Evaluating Dynamic Functional Network Connectivity and
Task-Modulation: Application to Schizophrenia,” Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA),
Special Issue on MR Imaging of Brain Networks, Vol. 23, pp. 351-366 (2010). [pdf] [seminal paper on brain’s dynamic (windowing) functional
connectivity analyses for functional MRI data, #Cs=390+ as of 08/2020]
[J08]
Sakoglu U, Huisa-Garate B, Rosenberg G, Sood
R, “Application of FT-based MMSE
Deconvolution Method for Cerebral Blood Flow Measurement in Patients with
Leukoaraiosis,” Magnetic Resonance
Imaging, Elsevier, Vol. 27, pp. 625-630 (2009). [pdf]
[J07] Pai MP, Sakoglu U,
Peterson S, Lyons CR, Sood R, “Characterization of BBB permeability
in a preclinical model of cryptococcal meningoencephalitis using magnetic
resonance imaging,” Journal of Cerebral
Blood Flow and Metabolism, Vol. 29, pp. 545-553 (2009). [pdf]
[J06] Liu
W, Sood R, Chen Q, Sakoglu U, Hendren J, Cetin O, Miyake M, Liu
KJ, “Normobaric hyperoxia inhibits NADPH oxidase-mediated metalloproteinase-9
induction in cerebral microvessels in experimental stroke,” Journal of Neurochemistry, Vol. 107,
Iss.5, pp. 1196-1205 (2008). [pdf] [developed and
applied the permeability MRI data analysis to MRI data from rats, #Cs=90+]
[J05] Sakoglu U, Sood R, “Cerebral blood flow
estimation from perfusion-weighted MRI using FT-based MMSE filtering method,” Magnetic Resonance Imaging, Elsevier, Vol.26, Iss. 3, pp. 313-322
(2008). [pdf]
[J04] Paskaleva B, Sakoglu U, Wang Z, Hayat M, Tyo JS,
Krishna S, “Algorithmic tunability of quantum-dot infrared detectors,” IEEE LEOS Newsletter, Vol. 20, No. 5, pp. 33-36 (2006).
[pdf]
[J03] Sakoglu U,
Dowd P, Hayat MM, Annamalai S, Posani KT, Tyo JS and Krishna S, “Statistical
adaptive sensing using detectors with spectrally overlapping bands,” Applied Optics, Vol. 45, Iss. 28, pp.
7224-7234 (2006). [pdf]
[J02] Sakoglu U, Tyo JS, Hayat MM, Raghavan S, and Krishna S, “Spectrally
adaptive infrared photodetectors with bias-tunable quantum dots,” Journal of the Optical Society of America B, Vol. 21, pp. 7-17 (2004).
[pdf]
[seminal paper on development
of spectrally-tunable infrared detectors, PhD work, patent obtained and
licensed; #Cs=92+]
[J01] Hayat MM, Sakoglu U, Kwon O-H, Wang S, Campbell
JC, Saleh BEA, Teich MC, “Breakdown probabilities for thin heterostructure
avalanche photodiodes,” IEEE Journal of Quantum Electronics, Vol. 39, pp. 179-185 (2003).[pdf]
Peer-reviewed, Presented and Published Conference Proceeding Papers (14) and Abstracts (55):
[C69] Sakoglu U, Mishra A, Gopinath K, Crosson B, Haley RW, "Classification of Gulf War Illness Patients vs Control Veterans Using fMRI Dynamic Functional Connectivity," Proc. 30th Annual Meeting of International Society of Magnetic Resonance in Medicine (ISMRM), May 2022: https://index.mirasmart.com/ISMRM2022/PDFfiles/2567.html .
[C68] Sakoglu U, "An Algebraic Nonuniformity Correction Algorithm for Hexagonally-Sampled Infrared Images: A Simulation Study" was presented at the IEEE Annual International Conference on Image Processing (ICIP), September 2021: https://doi.org/10.1109/ICIP42928.2021.9506284 .
[C67] LeVan P and Sakoglu U, "Methane gas leak quantification employing infrared sensing at suspected leak sites" was presented at the Society for Optical Engineering's (SPIE) Annual Infrared Sensors, Devices and Applications Conference as part of the SPIE Annual International Optics+Photonics Meeting, San Diego, CA, August 2021: https://doi.org/10.1117/12.2595775 .
[C66] Sakoglu U, "Algebraic nonuniformity correction for infrared imagery using a hexagonal coordinate scheme" was presented at the Society for Optical Engineering's (SPIE) Annual Infrared Sensors, Devices and Applications Conference as part of the SPIE Annual International Optics+Photonics Meeting, San Diego, CA, August 2021: https://doi.org/10.1117/12.2596384 .
[C65] Sakoglu U, Bhupati L, Petrenko O, Calhoun VD, "Adaptive space-filling curve for improved feature selection from fMRI brain activation maps: application to schizophrenia classification," Proc. 29th Annual Meeting of International Society of Magnetic Resonance in Medicine (ISMRM), May 2021: https://index.mirasmart.com/ISMRM2021/PDFfiles/1522.html .
[C64] Sakoglu U, Minton M, “Development of an algebraic nonuniformity correction algorithm for hexagonally-sampled infrared imagery,“ Proc. SPIE 11503, Infrared Sensors, Devices, and Applications X, 115030A (August 2020); https://doi.org/10.1117/12.2568156
[C63] LeVan P, Sakoglu U, “Infrared sensing technologies assisting environmental monitoring,“ Proc. SPIE 11503, Infrared Sensors, Devices, and Applications X, 115030B (August 2020); https://doi.org/10.1117/12.2567769
[C60] Sakoglu U, Bhupati L, Beheshti N, Tsekos N, Johnsson L, "An Adaptive Space-Filling Curve Trajectory for Ordering 3D Datasets to 1D: Application to Brain MRI Data for Classification," International Conference on Computational Science 2020, Amsterdam, NL.
[C59] Reveriano F, Sakoglu U, Liu J, “Facial Expression Recognition: Utilizing Digital Image Processing, Deep Learning, and High Performance Computing,” peer-reviewed conference paper and presentation, ACM Practice and Experience in Advanced Research Computing (PEARC), July 28th - August 1, 2019, Chicago, IL. [paper pdf]
[C59] Reveriano F, Sakoglu U, Liu J, “Facial Expression Recognition: Utilizing Digital Image Processing, Deep Learning, and High Performance Computing,” peer-reviewed conference paper and presentation, ACM Practice and Experience in Advanced Research Computing (PEARC), July 28th - August 1, 2019, Chicago, IL. [paper pdf]
[C58] Gopinath K, Sakoglu U, Crosson
B, Haley R, “Connectomics signatures of Gulf War Illness reveal brain
mechanisms underlying the disorder,” 25th
Annual Meeting of the Organization for Human Brain Mapping (OHBM), #1815,
Th215, June 2019, Rome. [abstract
pdf]
[C57] Gopinath K, Sakoglu U, Crosson
B, Haley R, “Brain mechanisms underlying Gulf War Illness revealed by
connectomics signatures of the disease,” 27th
Annual Meeting of International Society of Magnetic Resonance in Medicine
(ISMRM), #3887, May 2019, Montreal, QC. [abstract
pdf]
[C56] Pannell R, Sanchez M, Ozdemir O, Sakoglu
U, “Identification of Lung Opacities on Chest Radiographs Using Supervised
Deep Learning Techniques,” IEEE DUAL
Innovation/Automation Conference, November 2018, NASA JSC, Houston, TX. (Best Student Poster Presentation Award). [abstract
pdf]
[C55] Sakoglu U, Galla M, Bhamidipati S, Gopinath
K, Crosson B, Haley R, “Classification of Gulf War Illness Patients vs Control
Veterans Using fMRI Functional Connectivity,” 24th Annual Meeting of the Organization for Human Brain
Mapping (OHBM), #3441, June 2018, Singapore. [abstract
pdf]
[C54] Sakoglu U, “Computing Dynamic
Functional Connectivity and Task-Modulation Based Features from fMRI Data for
Classification,” invited tutorial presentation at the 8th
International Workshop on Pattern Recognition in Neuroimaging (PRNI), June
2018, Singapore. (invited) [abstract
pdf]
[C53] Sakoglu U, Galla M, Gopinath K, Crosson
B, Haley R, “Functional Connectivity-Based Classification of Gulf War Illness
Patients vs Control Veterans,” 26th
Annual Meeting of International Society of Magnetic Resonance in Medicine (ISMRM), #5542, June 2018, Paris, France. [abstract
pdf]
[C52] Gopinath K, Sakoglu U, Crosson
B, Haley R, “Exploratory Group Independent Components Analysis of resting state
fMRI data reveals widespread brain function impairments in Gulf War Illness,” 26th Annual Meeting of
International Society of Magnetic Resonance in Medicine (ISMRM), #3604, June
2018, Paris, France. [abstract
pdf]
[C51] Gopinath K, Sakoglu U, Crosson B, Haley R,
“Connectomics Correlates of Neurocognitive Deficits in Gulf War Illness
Patients: A Resting State fMRI Study,” 26th
Annual Meeting of International Society of Magnetic Resonance in Medicine
(ISMRM), #0979, June 2018, Paris, France. [power
pitch presentation]
[C50] Sakoglu U, De Leon J, Huerta C, Galla
M, Mete M, Adinoff B, “Classification of Cocaine Addiction Using Hilbert-Curve
Ordering of fMRI Activations,” International
Society of Magnetic Resonance in Medicine (ISMRM) Machine Learning Workshop,
March 2018, Pacific Grove, CA. [abstract
pdf]
[C49] Sakoglu U, Galla M, Bhamidipadi S,
Gopinath K, Crosson B, Haley R, “Classification of Gulf War Illness Using
Machine Learning in fMRI,” International
Society of Magnetic Resonance in Medicine (ISMRM) Machine Learning Workshop,
March 2018, Pacific Grove, CA. [abstract
pdf]
[C48] Gopinath K, Sakoglu U, Crosson
B, Haley R, “Brain function network impairments and abnormal processing at rest
in Gulf War Illness: a resting state fMRI study,” Annual International Meeting of the Society for Neuroscience (SfN),
456.09, November 2017, Washington, DC. [abstract
pdf] [presentation
pdf]
[C47] De Leon J, Huerta C, Sakoglu U,
“Classification of fMRI Data Using Hilbert-Curve Ordering and Neural Networks,”
IEEE DUAL Innovation/Automation
Conference, October 2017, NASA JSC, Houston, TX. (2nd
Best Student Poster Presentation Award) [abstract
pdf]
[C46] Bhamidipati S, Pradeep C, Sakoglu
U, “Classification of positive and negative stimuli using EEG data,
functional connectivity and machine learning,” IEEE DUAL Innovation/Automation Conference, October 2017, NASA JSC,
Houston, TX.
[abstract
pdf]
[C45] Galla M, Tippa R, He H, Sakoglu U,
“Functional Connectivity–Based Classification of Brain Disorder Patients vs
Healthy Participants Using Functional MRI,” IEEE
DUAL Innovation/Automation Conference, October 2017, NASA JSC, Houston, TX. [abstract
pdf]
[C44] Gopinath K, Thapa-Chetry B, Ouyang L, Krishnamurthy L, Krishnamurthy V,
Goyal A, Gandhi P, Fang, Y, Sakoglu U,
Crosson B, Haley R, “Gulf War Illness patients exhibit impaired/abnormal
connectivity in multiple brain rsFMRI networks,” Annual International Conference of the Organization for Human Brain
Mapping (OHBM), June 2017, Vancouver, BC. [abstract
pdf]
[C43] Gopinath K, Thapa-Chetry B, Ouyang L, Krishnamurthy
L, Krishnamurthy V, Goyal A, Gandhi P, Fang, Y, Sakoglu U, Haley R, “Gulf War Illness Patients Exhibit
Impaired Connectivity in Multiple Brain Function Networks Consistent with
Chronic Multi-Symptom Illness: A resting State fMRI Study,” Proc. 25th Annual Meeting of
International Society of Magnetic Resonance in Medicine (ISMRM), #2258, April 2017, Honolulu, HI. [abstract
pdf] [presentation
pdf]
[C42] Sakoglu U,
“Dynamic Functional Connectivity-based Classification of Healthy vs Cocaine-Addicted
Brains from Functional Magnetic Resonance Imaging Data,” poster, Annual Gulf Coast Consortium Conference on
Theoretical and Computational Neuroscience, January 27th, 2017, Rice
University, Houston, TX. [abstract
pdf]
[C41] Sakoglu U, “Dynamic
Functional Connectivity Analysis For fMRI Data: An Application To
Classification Of Cocaine Addicted Patients,” 19th International Conference on Medical Image Computing &
Computer Assisted Intervention (MICCAI), Satellite Workshop on Advances
in fMRI, October 2016, Athens, Greece. [abstract
pdf]
[C40] LeVan PD, Sakoglu U, “LWIR pupil
imaging and long-term calibration stability,” Proc. SPIE Optics and
Photonics Conference, Infrared
Sensors, Devices and Applications VI, Vol. 9974, pp. 99740S1-S10, August/September
2016, San Diego, CA. [paper
pdf]
[C39] Mete M, Sakoglu
U, Spence JS, Devous MD, Harris TS, Adinoff B, “Successful Classification
of Cocaine Dependence Using Brain Imaging: A Machine Learning Approach,” Midsouth Computational Biology and
Bioinformatics Society Conference (MCBIOS), March 2016, Memphis, TN. [presentation
pdf]
[C38] LeVan PD, Sakoglu U, Stegall M, Pierce G, “LWIR pupil imaging for long-term infrared background
compensation for faint objects,” Proc. SPIE
Optics and Photonics Conference, Infrared
Sensors, Devices and Applications V, Vol. 9609, pp. 96090U1–96090U9,
August 9-13, 2015, San Diego, CA. [paper
pdf]
[C37] Hempelmann C, Gurupur V, Sakoglu U, “Patient Centered Ontology
Development for a Personal Health Information System,” American Medical Informatics Association (AMIA), 2015 Joint Summits on
Translational Science, pp. 330-331, March 23-27, 2015, San Francisco, CA. [abstract
pdf]
[C36] Akgün D, Sakoglu
U, Mete M, Esquivel J, Adinoff B, “GPU-Accelerated Dynamic Functional
Connectivity Analysis for Functional MRI Data Using OpenCL,” Proceedings
of the IEEE International Conference on
Electro/Information Technology
(EIT), pp. 479 – 484, June 2014,
Milwaukee, WI. [paper
pdf]
[C35] Sakoglu U, Arslan A, Bohra K, Flores H, “In Search of Optimal Space-Filling Curves
for 3-D to 1-D Mapping: Application to 3-D Brain MRI Data,” Proceedings of ISCA’s 6th International Conference on
Bioinformatics and Computational Biology (BICOB), pp. 61-66, March 2014,
Las Vegas, NV. [paper
pdf]
[C34] Flores H, Bohra K, Arslan AN, Sakoglu
U, “Finding Optimal Brain Mappings Using Integer Linear Programming
Solvers,” Midsouth Computational Biology
and Bioinformatics Society Conference (MCBIOS), March 2014, Stillwater, OK. [abstract
pdf]
[C33] Esquivel J, Mete M, Sakoglu U, “DynaConn: A Software for Analyzing
Brain’s Dynamic Functional Connectivity from fMRI Data,” Midsouth Computational Biology and Bioinformatics Society Conference
(MCBIOS), March 2014, Stillwater, OK. [abstract
pdf]
[C32] Bohra K, Sakoglu U, Mete M, “Software Toolbox for Multivariate
Pattern Analysis of Different Brain States from Functional Magnetic Resonance
Imaging Data,” Midsouth Computational
Biology and Bioinformatics Society Conference (MCBIOS), March 2014,
Stillwater, OK. (2nd best poster award) [abstract
pdf]
[C31] Ankam H, Mete M, Sakoglu U, “A Compact Independent Component
Analysis Implementation with Graphical Processing,” Midsouth Computational Biology and Bioinformatics Society Conference
(MCBIOS), March 2014, Stillwater, OK. [abstract
pdf]
[C30] Akgun D, Esquivel J, Mete M, Sakoglu U, “OpenMP-Accelerated
Dynamic Functional Connectivity Analysis on Multicore Computer,” Midsouth Computational Biology and Bioinformatics
Society Conference (MCBIOS), March 2014, Stillwater, OK. [abstract
pdf]
[C29] Bohra K, Sakoglu
U, “A Software for Multivoxel Pattern Analysis of Functional Magnetic
Resonance Imaging Data,” Proc. IEEE EMBS
Annual Medical Device Symposium, November 2013, Dallas, TX. [abstract
pdf]
[C28] Esquivel J, Mete
M, Sakoglu U, “Software for Analyzing Brain’s Dynamic Functional
Connectivity from fMRI,” Proc. IEEE EMBS
Annual Medical Device Symposium, November 2013, Dallas, TX. [abstract
pdf]
[C27] Ankam H, Mete M, Sakoglu
U, “A Compact Independent
Component Analysis Implementation with Graphical Processing Unit,” Proc. IEEE EMBS Annual Medical Device
Symposium, November 2013, Dallas, TX. [abstract
pdf]
[C25] Wang TH, Johnson JJ, Sakoglu U,
Rugg MD, “Content-selective cortical reinstatement effects in older and younger
adults,” Cognitive Neuroscience
Annual Meeting, April 2013,
San Francisco, CA. [abstract
pdf]
[C24] Mete M, Ankam H, Sakoglu U,
“A Graphical Processing Unit Supported Neuroimaging Software in JAVA,” Midsouth Computational Biology and
Bioinformatics Society Conference (MCBIOS), April 2013, Columbia, MO. [abstract
pdf]
[C22] Wang
TH, Sakoglu
U, Rugg MD, “Differential sensitivity of GLM and MVPA
approaches to the identification of cortical reinstatement effects in memory
retrieval,” Society for Neuroscience Annual Meeting,
October 2012, New Orleans, LA. [abstract
pdf]
[C20] Wang
TH, Johnson JJ, Sakoglu U, Gottlieb Lauren,
Rugg MD, “Cortical reinstatement of auditory and visually presented contextual
information as indexed by multi-voxel pattern classification,” Cognitive Neuroscience Annual Meeting,
April 2011, San Francisco, CA. [poster
pdf]
[C19] Kim D-I and Sakoglu U, “Brain Networks Toolbox: Software for
functional connectivity analysis based on Small World Network Theory”, 26th Annual Meeting of the
European Society for Magnetic Resonance in Medicine and Biology, Vol. 22
Suppl. 1, October 2009, Antalya,
Turkey. [abstract
pdf]
[C18] Sakoglu U, Gasparovic C, Bockholt HJ,
Qualls CR, Sharrar J, Sibbitt W, Roldan C, “Comparison of two deconvolution
methods in a CBF study of Lupus patients vs. healthy controls with perfusion
MRI,” 24th International
Symposium on Cerebral Blood Flow, Metabolism and Function, 2009 (29),
S568–S580; July 2009, Chicago, IL. [abstract
pdf]
[C16] Sakoglu U, Michael AM, Calhoun VD, “Classification of schizophrenia
patients vs healthy controls with dynamic functional network connectivity,” Proc. 15th
Annual Meeting of the Organization
for Human Brain Mapping, Vol. 47, Suppl. 1, pp. S57, June 2009, San
Francisco, CA. [abstract
pdf]
[C14]
Sakoglu U, Calhoun VD, “Dynamic windowing reveals
task-modulation of functional connectivity in schizophrenia patients vs healthy
controls,” Proc. 17th Annual
Meeting of the International Society
for Magnetic Resonance in Medicine, #3676, April 2009, Honolulu, HI. [abstract
pdf]
[C13] Caprihan A, Sakoglu U, Pfeuffer J, Rael J, Stephen J, Lowe J, Duvall SW,
Gasparovic C, Ohls RK, and Phillips JP, “Differences in Blood Perfusion between
Extremely Low Birth Weight (ELBW) Pre-term Infants and Control Term Infants,” Proc. 17th Annual Meeting of the
International Society for Magnetic
Resonance in Medicine, #0491, April 2009, Honolulu, HI. [abstract
pdf]
[C12] Pai M, Sood R, Sakoglu U, “Non-invasive Measurement of Blood-Brain-Barrier Disruption in Cryptococcal Meningoencephalitis (CNME)” 46th Annual Meeting of the Infectious Diseases Society of America (IDSA), October 2008, Washington, D.C. [abstract pdf]
[C12] Pai M, Sood R, Sakoglu U, “Non-invasive Measurement of Blood-Brain-Barrier Disruption in Cryptococcal Meningoencephalitis (CNME)” 46th Annual Meeting of the Infectious Diseases Society of America (IDSA), October 2008, Washington, D.C. [abstract pdf]
[C11] Cetin O, Sakoglu U,
Sood R, “Software package to calculate permeability based on Patlak method,” 25th Annual Meeting of the European Society for Magnetic Resonance in
Medicine and Biology, #988, Vol. 21, Suppl. 1, October 2008, Valencia,
Spain. [abstract
pdf]
[C10] Sakoglu U, Sood
R, Pai M, “Application of MRI in the Development of a Preclinical Model of
Cryptococcal Meningoencephalitis (CNME),” 16th
Annual Meeting of International Society
of Magnetic Resonance in Medicine, May
2008, Toronto, ON, Canada. [abstract
pdf]
[C09] Sakoglu U, Sood
R, Huisa-Garate B, Rosenberg G, “Comparison of an FT-based MMSE Method with oSVD Method for CBF Estimation in
Patients with VCI,” 16th
Annual Meeting of International Society
of Magnetic Resonance in Medicine, #1904,
May 2008, Toronto, ON, Canada. [abstract
pdf]
[C08] Huisa-Garate
B, Gasparovic
C, Sakoglu
U, Sood R, Thompson J, Prestopnik J, Rosenberg G, “Brain Perfusion MRI and Proton Magnetic
Resonance Spectroscopy Aid in Identifying Ischemic White Matter in Patients
with Vascular Cognitive Impairment,” 60th
Annual Meeting of American Academy of Neurology, presentation #08126,
12-April 2008, Chicago, IL, USA.[abstract
pdf]
[C07]
Sakoglu
U, Sood R, “Effect of AIF distortion and delay on CBF
estimation using FT-based MMSE deconvolution technique,” Joint Annual Meeting of International Society for Magnetic Resonance in
Medicine / European Society for Magnetic Resonance in Medicine and Biology,
presentation #3497, May 2007, Berlin, Germany. [abstract
pdf]
[C05] Hayat MM, Sakoglu U, Wang Z, Paskaleva B, Tyo JS, and Krishna S,
“Algorithmic Tunability of Quantum-Dot Infrared Detectors,” Proceedings of IEEE/LEOS Summer
Topical Meetings, pp.
34-35, July, 2006, Quebec City, QC, Canada. (invited) [paper
pdf]
[C04] Sakoglu U, Wang Z, Hayat MM, Tyo JS, Senthil Annamalai, Philip
Dowd, and Krishna S, “Quantum-dot detectors for
mid-infrared sensing: Bias-controlled spectral tuning and matched filtering,” Proceedings for the SPIE: Nanosensing - Materials
and Devices, M. Saif Islam, Achyut K. Dutta, eds., (SPIE, Bellingham, WA,
2004), Vol. 5593, pp. 396-407. (invited) [paper
pdf]
[C03] Sakoglu U,
Hardie RC, Hayat MM, Ratliff BM, and Tyo JS, “An algebraic
restoration method for estimating fixed-pattern noise in infrared imagery from
a video sequence,” Proceedings of the SPIE:
Applications of Digital Image Processing XXVII, Andrew G. Tescher ed., (SPIE,
Bellingham, WA, 2004), Vol. 5558, pp. 69-79. [paper
pdf]
[C02] Wang Z, Sakoglu
U, Annamalai S, Weisse-Bernstein NR, Dowd P, Tyo JS, Hayat MM and Krishna
S, “Real-time implementation of spectral matched
filtering algorithms using adaptive focal plane array technology,” Proc. SPIE:
Imaging Spectrometry X, (SPIE, Bellingham, WA, 2004) Vol. 5546, pp. 73-83. [paper
pdf]
[C01] Scaglione A and Sakoglu U, “Asymptotic
Capacity of Space-Time Coding for Arbitrary Fading: A Closed Form Expression
Using Girko’s Law,” Proceedings of the IEEE International Conference
on Acoustics, Speech, and Signal Processing (ICASSP), (IEEE, New York, NY, 2001) Vol. 4, pp. 2509-2511. [paper pdf]
Other(2):
[O02] Sakoglu U “Signal-processing strategies for spectral tuning and
chromatic nonuniformity correction for quantum-dot infrared sensors,” Ph.D. Dissertation,
Department of Electrical and Computer Engineering, University of New Mexico,
Albuquerque, NM, USA (2006). [pdf1] [pdf2]
[O01] Sakoglu U and Scaglione A “High Bit Rate Wireless Area Networks with Transmit and Receive Diversity in Arbitrary Fading: Asymptotic Closed Form Performance Expressions Using the Distribution of Random Eigenvalues“ unpublished master's research work (2001). [pdf]
[O01] Sakoglu U and Scaglione A “High Bit Rate Wireless Area Networks with Transmit and Receive Diversity in Arbitrary Fading: Asymptotic Closed Form Performance Expressions Using the Distribution of Random Eigenvalues“ unpublished master's research work (2001). [pdf]
