For those with access to FIU Libraries, you could search in any of the databases available through the link here. PDF copies of these articles are also available on the following websites, among others.

  1. The Web of Science
  2. PubMed
  3. IEEE Xplore
  4. Engineering Collection, ProQuest


  1. R. E. Curiel Cid, E. A. Crocco, R. Duara, D. Vaillancourt, B. Asken, M. J. Armstrong, M. Adjouadi, M. Georgiou, M. Marsiske, W. Wang, M. Rosselli, W. W. Barker, A. Ortega, D. Hincapie, L. Gallardo, F. Alkharboush, S. DeKosky, G. Smith, D. A. Loewenstein, “Different aspects of failing to recover from proactive semantic interference predicts rate of progression from amnestic mild cognitive impairment to dementia”, Frontiers in Aging Neuroscience, Vol. 16,


  1. B. M. Asken, W-E Wang, K. McFarland, F. Arias, J. Fiala, I. Velez-Uribe, R. P. Mayrand, L. O. Sawada, C. Freytes, M. Adeyosoye, M. Marsiske, M. Rosselli, W. W. Barker, R. Curiel Cid , D. A. Loewenstein, S. T. DeKosky, M. J Armstrong, G. E Smith, M. Adjouadi, D. E. Vaillancourt, R. Duara, “Plasma Alzheimer’s biomarkers and brain amyloid in Hispanic and non-Hispanic older adults”, Alzheimer’s & Dementia, September 2023, DOI: 10.1002/alz.13456. PMID: 37671801.
  2. E. Ofori, D.E. Vaillancourt, M.T. Greig-Custo, W.  Barker, K. Hanson, S.T. DeKosky, C.S. Garvan, M. Adjouadi, T. Golde, D.A. Loewenstein, C. Stecher, R. Fowers, R. Duara, “Free-water imaging reveals unique brain microstructural deficits in Hispanic individuals with Dementia”, Brain Imaging and Behavior, DOI10.1007/s11682-023-00819-w, Early Access October 2023.
  3. A. H. Mohammed, M. Cabrerizo, A. Pinzon, I. Yaylali, P. Jayakar, M. Adjouadi, “Graph Neural Networks in EEG Spike Detection”, Artificial Intelligence in Medicine, DOI: 10.1016/j.artmed.2023.102663, Vol. 145, No. 102663, November 2023.
  4. R. E. Curiel Cid, A. Ortega, E.A. Crocco, D. Hincapie, K.N. McFarland, R. Duara, D. Vaillancourt, S.T. DeKosky, G. Smith, E. Sfakianaki, M. Rosselli, W.W. Barker, M. Adjouadi, Y. Barreto, Y. Feito, D.A. Loewenstein, “Semantic intrusion errors are associated with plasma Ptau-181 among persons with amnestic mild cognitive impairment who are amyloid positive”, Frontiers in Neurology, Vol. 14, DOI10.3389/fneur.2023.1179205, August 2023. PMID: 37602238.
  5. Arruda, M. Rosselli, A.M. Kuraj, D.A. Loewenstein, S.T. DeKosky, M. K. Lang, J. Conniff, I. Velez-Uribe, E. Ahne, L. Shihadeh, M. Adjouadi, A. Goytizolo, W.W. Barker, R.E. Curiel, G.E. Smith, R. Duara, “Stability in cognitive classification as a function of severity of impairment and ethnicity: A longitudinal analysis”, Applied Neuropsychology-Adult, DOI:10.1080/23279095.2023.2222861, pp. 1-14, July 2023, PMID: 37395391
  6. Morar, H. Martin, R. P. Mayrand, W. Izquierdo, E. Zarafshan, P. Forouzannezhad, E. Unger, M. Cabrerizo, R. E. Curiel Cid, M. Rosselli, A. Barreto, N. Rishe, D. E. Vaillancourt, S. T. DeKosky, D. Loewenstein, R. Duara, M. Adjouadi, “Prediction of Cognitive Test Scores from Variable Length Multimodal Data in Alzheimer’s Disease”, Cognitive Computation, DOI: 10.1007/s12559-023-10169-w, pp. 1-25, July 2023.
  7. M Eslami, S. Tabarestani, M. Adjouadi, “A unique color-coded visualization system with multimodal information fusion and deep learning in a longitudinal study of Alzheimer’s disease”, Artificial Intelligence in Medicine, Vol. 140, 1025443, June 2023.
  8. N. Rishe, M. H. Amini, M. Adjouadi, “Scenic routing navigation using property valuation”, Journal of Big Data, Vol. 10, Issue 1, Article number: 57, pp. 1-16,, May 2023.
  9. N. Ratchatanantakit, N. O-larnnithipong, P. Sonchan, M. Adjouadi, A. Barreto, “A sensor fusion approach to MARG module orientation estimation for a real-time hand tracking application”, Information Fusion, Vol. 90, pp. 298-315, Feb. 2023.
  10. W.E. Wang, R. Chen R, R.P. Mayrand, M. Adjouadi, R. Fang, S.T. DeKosky, R. Duara, S.A. Coombes, D.E. Vaillancourt, “Association of longitudinal cognitive decline with diffusion MRI in Gray Matter, Amyloid, and Tau deposition”, Alzheimer’s Disease Neuroimaging Initiative. Neurobiology of Aging. Vol. 21, pp.166-178, DOI: 10.1016/j.neurobiolaging.2022.10.013. January 2023, PMID: 36455492.


  1. M. Shojaie, M. Cabrerizo, S.T. DeKosky, D.E. Vaillancourt, D. Loewenstein, R. Duara, M. Adjouadi, “A transfer learning approach based on gradient boosting machine for diagnosis of Alzheimer’s disease”, Frontiers in Aging Neuroscience, 14:966883. doi: 10.3389/fnagi.2022.966883. Oct. 5, 2022. PMID: 36275004
  2. M.T.G. Custo, M.K. Lang, W.W. Barker, J. Gonzalez, I. Velez-Uribe, F. Arruda, J. Conniff, M.J. Rodriguez, D.A. Loewenstein, R. Duara, M. Adjouadi, R.E. Curiel, M. Rosselli, “The association of depression and apathy with Alzheimer’s disease biomarkers in a cross-cultural sample”, Applied Neuropsychology-Adult, DOI10.1080/23279095.2022.2079414, Early Access, June 2022.
  3. S. Tabarestani, M. Eslami, M. Cabrerizo, A. Barreto, N. Rishe, R.E. Curiel, A. Barreto, N. Rishe, D. Vaillancourt, S.T. DeKosky, D.A. Loewenstein, R. Duara, M. Adjouadi,A Tensorized Multitask Deep Learning Network for Progression Prediction of Alzheimer’s Disease”, Frontiers in Aging Neuroscience, Vol. 14, Article Number: 810873, DOI: 10.3389/fnagi.2022.810873, May 2022. PMID: 35601611.
  4. U. Morar, W. Izquierdo, H. Martin, P. Forouzannezhad, E. Zarafshan1, E. Unger, Z. Bursac, M. Cabrerizo, A. Barreto, D. E. Vaillancourt, S. T. DeKosky, D. Loewenstein, R. Duara, and M. Adjouadi, “A study of the longitudinal changes in multiple cerebrospinal fluid and volumetric magnetic resonance imaging biomarkers on converter and nonconverter Alzheimer’s disease subjects with consideration for their Amyloid-β status”, Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, 2022 Feb 23;14(1):e12258. doi: 10.1002/dad2.12258.PMID: 35229014.
  5. M. Aghili , S. Tabarestani, M. Adjouadi “Addressing the missing data challenge in multi-modal datasets for the diagnosis of Alzheimer’s disease”, Journal of Neuroscience Methods, 2022 Mar 26;375:109582. doi: 10.1016/j.jneumeth.2022.109582. Online ahead of print.PMID: 35346696
  6. V.L. Torres, M. Rosselli, D.A. Loewenstein, M. Lang, I. Velez-Uribe, F. Arruda, J. Conniff, R.E. Curiel, M.T. Greig, W.W. Barker, M.J. Rodriguez, M. Adjouadi, D.E. Vaillancourt, R. Bauer, R. Duara, “The Contribution of Bilingualism to Cognitive Functioning and Regional Brain Volume in Normal and Abnormal Aging”, Bilingualism-Language and Cognition, Vol. 25 (2), pp.337-356, March 2022. DOI: 10.1017/S1366728921000705.

  1. A. Hossam Mohammed;U. Morar;M. Cabrerizo;H. Rajaei;A. Pinzon;I. Yaylali;M. Adjouadi, “Dynamics of Electrical Activity in Epileptic Brain and Induced Changes due to Interictal Epileptiform Discharges”, IEEE Access, DOI: 10.1109/ACCESS.2021.3138385, December 2021.
  2. W.T. Chu, W.E. Wang, L. Zaborszky , T.E. Golde, S. DeKosky , R. Duara, D.A. Loewenstein, M. Adjouadi, S.A. Coombes, D.E. Vaillancourt, “Association of Cognitive Impairment With Free Water in the Nucleus Basalis of Meynert and Locus Coeruleus to Transentorhinal Cortex Tract”, Neurology, Vol. 98 (7), pp. E700-E710. PMID: 34906980
  3. M. Shojaie, S. Tabarestani, M. Cabrerizo, S.T. DeKosky, D.E. Vaillancourt, D. Loewenstein, R. Duara, and M. Adjouadi, “PET Imaging of Tau Pathology and Amyloid-β, and MRI for Alzheimer’s Disease Feature Fusion and Multimodal Classification”, Journal of Alzheimer’s Disease, Vol. 84 (4), pp. 1497-1514, 2021. PMID 34719488. 10.3233/JAD-210064.
  4. H. Martin, U. Morar, W. Izquierdo, M. Cabrerizo, A. Cabrera, and M. Adjouadi, “Real-time Frequency-Independent Single-Lead and Single-Beat Myocardial Infarction Detection”, Vol. 121, Article Number 102179, Artificial Intelligence in Medicine, DOI10.1016/j.artmed.2021.102179, November, 2021.
  5. H. Martin, W. Izquierdo, M. Cabrerizo, A. Cabrera, M. Adjouadi, “Near real-time single-beat myocardial infarction detection from single-lead electrocardiogram using Long Short-Term Memory Neural Network”, Biomedical Signal Processing and Control, Volume 68, 102683, DOI: 10.1016/j.bspc.2021.102683, 11 pages, July 2021.
  6. M. S. Masouleh; A. K. Behbahani, M. Adjouadi, “Design, Analysis, and Optimization of the Array of Axial Rectangular Slots on a Cylindrical Waveguide”, IEEE Access, Vol. 9, pp. 98218-98230, DOI: 10.1109/ACCESS.2021.3092997, July 16, 2021.
  7. F. Arruda, M. Rosselli, M.T. Greig, D.A. Loewenstein, M. Lang, V.L. Torres, I. Velez-Uribe, J. Conniff, W.W. Barker, R.E. Curiel, M. Adjouadi, R. Duara, “The Association Between Functional Assessment and Structural Brain Biomarkers in an Ethnically Diverse Sample with Normal Cognition, Mild Cognitive Impairment, or Dementia”, Archives of Clinical Neuropsychology, Vol. 36 (1), pp. 51-61, February 2021. PMID: 32890393.

  1. A.H. Mohammed, M. Cabrerizo, U. Morar, H. Rajaei, A. Pinzon, I. Yaylali, and S. Gonzalez-Arias, Penalized Functional Connectivity Maps for Patients With Focal Epilepsy, IEEE Access, Vol 9, pp. 204 – 217, DOI: 10.1109/ACCESS.2020.3046851, December 2020.
  2. M. Mafi, W. Izquierdo, H. Martin, M. Cabrerizo, M. Adjouadi, “Deep Convolutional Neural Network for Mixed Random Impulse and Gaussian Noise Reduction in Digital Images,” IET Image Processing, Vol.14 (15) pp. ‏ 3791-3801, December15, 2020.
  3. M. Mafi, W. Izquierdo, M.. Cabrerizo, A. Barreto, J. Andrian, N. . Rishe and M. Adjouadi “A survey on Mixed Impulse and Gaussian denoising filters,” IET Image Processing, Vol. 14 (16), pp. 4027-4038, December 19,  2020.
  4. W. Barker, C. Quinonez, M. T. Greig, R. Behar, C. Chirinos, R. Rodriguez, M. Rosselli, M. Rodriguez, R. Curiel Cid, T. Rundek, K. McFarland, K. Hanson, G. Smith, S. DeKosky, D. Vaillancourt, M. Adjouadi, M. Marsiske, N. Ertuken-Taner, T. Golde, D. A. Loewenstein, R. Duara, “Utility of Plasma Neurofilament Light in the 1Florida Alzheimer’s Disease Research Center (ADRC), J Alzheimers Dis. 2020 Nov 13. doi: 10.3233/JAD-200901Article No. 20-0901, Journal of Alzheimer Disease, Nov 2020. PMID: 33216030
  5. C. Fang, C. Li, P. Forouzannezhad, M. Cabrerizo, R.E. Curiel, D. Loewenstein, R. Duara, M. Adjouadi, “Gaussian Discriminative Component Analysis for Early Detection of Alzheimer’s Disease: A Supervised Dimensionality Reduction Algorithm”, Journal of Neuroscience Methods, Vol. 344, Article 108856, October 2020. PMID: 32663548.
  6. R.E. Curiel Cid, E.A. Crocco, R. Duara, J.M. Garcia, M. Rosselli, S.T. DeKosky, G. Smith, R. Bauer, C.L. Chirinos, M. Adjouadi, W. Barker W, D.A. Loewenstein, “ A novel method of evaluating semantic intrusion errors to distinguish between amyloid positive and negative groups on the Alzheimer’s disease continuum”, Journal of Psychiatric Research. Vol. 124, pp. 131-136, May 2020, PMID: 32146222.
  7. M. Eslami, S. Tabarestani,  S. Albarqouni,  E. Adeli, N. Navab, MalekAdjouadi, “Image-to-Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography”, IEEE Transactions on Medical Imaging, Vol. 39 (7), pp. 2553-2565, July  2020. PMID: 32078541
  8. P. Forouzannezhad, A. Abbaspour, C. Li, C. Fang, U. Williams, M. Cabrerizo, A. Barreto, J. Andrian, N. Rishe, R.E. Curiel, D. Loewenstein, R. Duara, M. Adjouadi, “A Gaussian-based model for early detection of mild cognitive impairment using multimodal neuroimaging”, Journal of Neuroscience Methods, Vol. 333, Article Number: 108544, MAR 1, 2020, PMID: 31838182.
  9. S. Tabarestani, M. Aghili, M. Eslami, M. Cabrerizo, A. Barreto, N. Rishe, R.E. Curiel, D. Loewenstein, R. Duara, M. Adjouadi,A Distributed Multitask Multimodal Approach for the Prediction of Alzheimer’s Disease in a Longitudinal Study”, NeuroImage, Vol. 206, Article Number: 116317, February 1, 2020. PMID: 31678502.
  10. H. Rajaei, M. Cabrerizo, P. Janwattanapong,  A. Pinzon,  S. Gonzales-Arias, A. Barreto,  J. Andrian, N. Rishe,  I. Yaylali,  M. Adjouadi, “Dynamics and Distant Effects of Frontal/Temporal Epileptogenic Focus using Functional Connectivity Maps”, IEEE Trans. on Biomedical Engineering, IEEE Trans. on Biomedical Engineering, Vol. 67, Issue 2, pp. 632-643, February 2020. PMID: 31144622.

  1. R. E. Curiel Cid, D. A. Loewenstein, M. Rosselli, J. A. Matias-Guiu, D. Piña, M. Adjouadi, M. Cabrerizo, R. M. Bauer, A. Chan, S. T. DeKosky, T. Golde, M. T. Greig-Custo G. Lizarraga, A. Peñate, and R. Duara, “A cognitive stress test for prodromal Alzheimer’s disease: Multiethnic generalizability”, Alzheimer’s & Dementia (Amst), Vol. 11, pp: 550-559, August 2019. PMID: 31417955
  2. E. Ofori, S.T. DeKosky, M. Febo, L. Colon-Perez, P. Chakrabarty, R. Duara R, M. Adjouadi, T.E. Golde, D.E. Vaillancourt, “Free-water imaging of the hippocampus is a sensitive marker of Alzheimer’s disease”, Neuroimage Clin. Vol. 24, Article Number 101985, 2019. PMID: 31470214.
  3. R. Duara R, D.A. Loewenstein, G. Lizarraga, M. Adjouadi, W.W. Barker, M.T. Greig-Custo, M. Rosselli M, A. Penate, Y.F. Shea, R. Behar, A. Ollarves, C. Robayo, K. Hanson, M. Marsiske, S. Burke, N. Ertekin-Taner, D. Vaillancourt, S. De Santi, T. Golde, “Effect of age, ethnicity, sex, cognitive status and APOE genotype on amyloid load and the threshold for amyloid positivity”, Neuroimage Clinical Vol. 22, Article Number: UNSP 101800, 2019. PMID: 30991618.
  4. C. Li, R. Duara, D.A. Loewenstein, W. Izquierdo, M. Cabrerizo, W. Barker, M. Adjouadi M; and for the Alzheimer’s Disease Neuroimaging Initiative. “Greater Regional Cortical Thickness is Associated with Selective Vulnerability to Atrophy in Alzheimer’s Disease, Independent of Amyloid Load and APOE Genotype”, J Alzheimers Dis. Vol. 69, Issue 1, pp. 145-156. PMID: 30958345.
  5. M. Mafi, H. Martin, M. Cabrerizo, J. Andrian, A. Barreto, and M. Adjouadi, “A comprehensive survey on Impulse and Gaussian Denoising Filters for Digital Images”, Signal Processing, Vol. 157, pp. 236–260, 2019.
  6. S.A. Debebe, M. Adjouadi; S. A. Gulec, J. Franquiz, and A.J. McGoron “Y-90 SPECT/CT quantitative study and comparison of uptake with pretreatment Tc-99 m-MAA SPECT/CT in radiomicrosphere therapy”, Journal of Applied Clinical Medical Physics, Vol. 20 (2), pp. 30-42, February 2019. PMID: 30628156
  7. P. Forouzannezhad P, A. Abbaspour, C. Fang, M. Cabrerizo, D. Loewenstein, R. Duara R, and M. Adjouadi,“A Survey on Applications and Analysis Methods of Functional Magnetic Resonance Imaging for Alzheimer’s Disease”, Journal of Neuroscience Methods., Vol. 317, pp. 121-140, April 2019. PMID: 30593787.
  8. M.Aghili, S. Tabarestani, C. Freytes, M. Shojaie, M. Cabrerizo, A. Barreto, N. Rishe, R.E. Curiel, D. Loewenstein, R. Duara, and M. Adjouadi,. Prediction Modeling of Alzheimer’s Disease and Its Prodromal Stages from Multimodal Data with Missing Values. International Journal of Medical and Health Sciences, 13(2), pp.36-40, 2019.

  1. M. Mafi, S. Tabarestani, A. Barreto, M. Cabrerizo, and M. Adjouadi, “Denoising of Ultrasound Images Affected by Combined Speckle and Gaussian Noise”, IET Image Processing, Vol. 12 (12), pp. 2346-2351, December 2018.
  2. M. Mafi, H. Rajaei, M. Cabrerizo and M. Adjouadi, “A Robust Edge Detection Approach in the Presence of High Impulse Noise Intensity through Switching Adaptive Median and Fixed Weighted Mean Filtering”, IEEE Transactions on Image Processing Vol. 27(11), pp. 5475 – 5490, November 2018. PMID: 30028707.
  3. D.A. Loewenstein, R.E. Curiel, S. DeKosky, R.M.Bauer, M. Rosselli, S.M. Guinjoan, M. Adjouadi M. A. Peñate, W.W. Barker , S. Goenaga, T. Golde, M.T. Greig-Custo, K.S. Hanson, C. Li , G. Lizarraga, M. Marsiske, and R. Duara, “Utilizing semantic intrusions to identify amyloid positivity in mild cognitive impairment”, Neurology, Vol. 91 (10), pp. E976-E984, September 2018. PMID: 30076274
  4. L. Galarza, H. Martin, and M. Adjouadi, “Time of Flight Sensor in a Book Reader System Design for Persons with Visual Impairment and Blindness”, IEEE Sensors Journal, Vol. 18 (18), pp: 7697 7707, 2018.
  5. C. Fang, C. Li, M. Cabrerizo, A. Barreto, J. Andrian, N. Rishe, D. Loewenstein, R. Duara, M. Adjouadi, “Gaussian Discriminant Analysis-Based Dual High-Dimensional Decision Spaces for the Diagnosis of Mild Cognitive Impairment in Alzheimer’s Disease, Vol. 28 (8), International Journal of Neural Systems, 1850017 (16 pages), DOI: 10.1142/S012906571850017X, October 2018. PMID: 29793369
  6. L. Galarza, H. Martin, and M. Adjouadi, “Integrating Low-Resolution Depth Maps to High-Resolution Images in the Development of a Book Reader Design for Persons with Visual Impairment and Blindness”, International Journal of Innovative Computing Information and Control, Vol.14 (3), pp. 797-816, June 2018.
  7. R.E. Curiel, D.A. Loewenstein, M. Rosselli, A. Penate, M.T. Greig-Custo, R.M. Bauer, S. M. Guinjoan, K.S. Hanson, C. Li, G. Lizarraga, W. Barker, V. Torres, S. DeKosky, M. Adjouadi, and R. Duara, “Semantic Intrusions and Failure to Recover from Semantic Interference in Mild Cognitive Impairment: Relationship to Amyloid and Cortical Thickness”, Current Alzheimer Research, Vol. 15 (9), pp. 848-855, 2018. PMID: 29701153.
  8. G. Lizarraga, C. Li, M. Cabrerizo, W. Barker, D. A. Loewenstein, R. Duara, and M. Adjouadi, “A Neuroimaging Web Services Interface as a Cyber Physical System for Medical Imaging and Data Management in Brain Research: Design Study” JMIR Medical Informatics, Vol. 6 (2), pp. 228-244, Apr-Jun 2018. PMCID: PMC5945984, PMID: 29699962

  1. C. Li , D.A. Loewenstein, R. Duara, M. Cabrerizo, W. Barker, M. Adjouadi, “The Relationship of Brain Amyloid Load and APOE Status to Regional Cortical Thinning and Cognition in the ADNI Cohort”, Alzheimer’s Disease Neuroimaging Initiative., Journal of Alzheimer’s Disease, Vol. 59(4), pp. 1269-1282, DOI: 10.3233/JAD-170286, 2017. PMID: 28731444.
  2. G. Torres; P. McCall, C. Liu, M. Cabrerizo, and M. Adjouadi, “EEG processing: a many-core approach utilizing the Intel single-chip cloud computer platform”, International Journal of Embedded Systems, Vol. 9(5), pp. 464-474, 2017.
  3. D.A. Loewenstein, R. E. Curiel, S. DeKosky, M. Rosselli, R. Bauer, M. Grieg-Custo, A. Penate, C. Li, G. Lizarraga, T. Golde, M. Adjouadi, R. Duara, “Recovery from Proactive Semantic Interference and MRI Volume: A Replication and Extension Study”, Journal of Alzheimer’s Disease,Vol. 59 (1), pp. 131-139, 2017. PMID: 28598850.
  4. L. Guo, Z. Wang, M. Cabrerizo, M. Adjouadi, “A Cross-Correlated Delay Shift Supervised Learning Method for Spiking Neurons with Application to Interictal Spike Detection in Epilepsy,” International Journal of Neural Systems, Int J Neural Syst. 2017 May; 27(3):1750002. doi: 10.1142/S0129065717500022, PMID: 27785934.

  1. S.A. Debebe, M. Goryawala, M. Adjouadi, A. J. Mcgoron, S. A. Güleç “18F-FLT Positron Emission Tomography/Computed Tomography Imaging in Pancreatic Cancer: Determination of Tumor Proliferative Activity and Comparison with Glycolytic Activity as Measured by 18F-FDG Positron Emission Tomography/Computed Tomography Imaging”, Mol Imaging Radionucl Ther, 25(1): 32–38, Feb. 2016. PMID: 27299286.
  2. Z. Wang, Lilin Guo, Malek Adjouadi, “Wavelet Decomposing and Phase Encoding of Temporal Signals using Spiking Neurons,” Neurocomputing, vol. 173, no. 3, pp. 1203-1210, Jan. 2016.

  1. M. Goryawala, M. Adjouadi, S. Güleç, “Proliferative and Glycolytic Assessment of the Whole-Body Bone Marrow Compartment”, Mol Imaging Radionucl Ther. 24(2): 71–79, 24(2): 71–79, June 2015. PMID: 26316472.
  2. S. Sargolzaei, A. Sargolzaei, M. Cabrerizo, M. Goryawala, G. Chen, A. Pinzon-Ardila, S. M. Gonzalez-Arias and M. Adjouadi, “Estimating Intracranial Volume (ICV) in brain research: guideline for an informed decision-making process,” Neuroinformatics, Vol. 13 (4) , pp. 427-441, October 2015. PMID: 25822811.
  3. S. Sargolzaei, A. Sargolzaei, M. Cabrerizo, M. Goryawala, Q. Zhou, S. Noei, G. Chen, R. Duara, W. Barker and M. Adjouadi, “A practical guideline for intracranial volume estimation in patients with Alzheimer’s disease,” BMC Bioinformatics, Vol. 16 (7), DOI: 10.1186/1471-2105-16-S7-S8, April 2015. PMID: 25953026
  4. M. Goryawala, Mohammed; Duara, Ranjan; Loewenstein, David; Zhou, Qi; Barker, Warren; Adjouadi, Malek, “Apolipoprotein-E4 (ApoE4) carriers show altered small-world properties in the default mode network of the brain”, Biomedical Physics & Engineering Express, Biomedical Physics & Engineering Express Vol. 1(1):015001. DOI: 10.1088/2057-1976/1/1/01500, July 2015.
  5. R. Duara, W. Barker, D. Loewenstein, M. T. Greig-Custo, R. Rodriguez, M. Goryawala, Q. Zhou, and M. Adjouadi, “Insights into cognitive aging and Alzheimer’s disease using amyloid PET and structural MRI scans”, Clinical and Translational Imaging, DOI 10.1007/s40336-015-0110-6, Vol. 3 (1), pp. 65-74, February 2015.
  6. M. Goryawala, M. Adjouadi, and S. Gulec, “Proliferative and Glycolytic Assessment of the Whole-Body Bone Marrow Compartment”, Molecular Imaging and Radionuclide Therapy, Vol. 24 (2), pp.71-79, June 2015. PMID: 26316472.
  7. M. Goryawala, Q. Zhou, W. Barker, D. A. Loewenstein, R. Duara, and M. Adjouadi, “Inclusion of Neuropsychological Scores in Atrophy Models Improves Diagnostic Classification of Alzheimer’s Disease and Mild Cognitive Impairment,” Computational Intelligence and Neuroscience, vol. 2015, 14 pages, doi:10.1155/2015/865265, May 2015. PMID: 26101520.
  8. S. Sargolzaei, M. Cabrerizo, A. Sargolzaei, S. Noei, H. Rajaei, A. Salah Eddin, A. Pinzon-Ardila, S. M. Gonzalez Arias, P. Jayakar and M. Adjouadi, “A probabilistic approach for pediatric epilepsy diagnosis using brain functional connectivity networks,” BMC Bioinformatics, Vol. 16, Suppl. 7, DOI: 10.1186/1471-2105-16-S7-S9, April 2015. PMID: 25953124.
  9. S. Sargolzaei , M. Cabrerizo, M. Goryawala, A. Salah Eddin, “Scalp EEG Brain Functional Connectivity Networks in Pediatric Epilepsy”, Computers in Biology and Medicine, Vol. 56 pp. 158-166, January 2015.
  10. A. Motahari and M. Adjouadi, “Barcode Modulation Method for Data Transmission in Mobile Devices”, IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2014.2366601, Vol. 17 (1), pp. 118-127, January 2015.

  1. A.Salah Eddin, J. Wang, W. Wu, S. Sargolzaei, B. Bjornson, R. Jones, W.D. Gaillard, and M. Adjouadi,  “The Effects of Pediatric Epilepsy on a Language Connectome”, Human Brain Mapping, Vol. 35 (12), pp. 5996–6010, December 2014. PMID: 25082062.
  2. M. Cabrerizo, A. Cabrera, J. Perez, J. De la Rua, N. Rojas, Q. Zhou, A. Pinzon-Ardila, S. Gonzalez-Arias and M. Adjouadi, “Induced Effects of Transcranial Magnetic Stimulation on the Autonomic Nervous System and the Cardiac Rhythm”, Scientific World Journal, vol. 2014, Article ID 349718, 12 pages, DOI:10.1155/2014/349718, 2014.
  3. Q. Zhou, M. Goryawala, M. Cabrerizo, J. Wang, W. Barker, D. Loewenstein, R. Duara, and M. Adjouadi “An Optimal Decisional Space for the Classification of Alzheimer’s Disease and Mild Cognitive Impairment “ IEEE Transactions on Biomedical Engineering, Vol. 61 (8), pp. 2245-2253, August 2014.
  4. J. Wang, X. You, W. Wu, M.R. Guillen, M. Cabrerizo, J. Sullivan, E. Donner, B. Bjornson, M. Berl, W.D. Gaillard, and M. Adjouadi,  “Classification of fMRI Patterns -A Study of the Language Network Segregation in Pediatric Localization Related Epilepsy” Human Brain Mapping, Volume 35, Issue 4, pp. 1446-1460, April 2014.
  5. J. Huang, A. Barreto, P. Ren and M. Adjouadi, “Personalized and Dynamic Image Precompensation for Computer Users with Ocular Aberrations”, Behavior & Information Technology, Vol. 33(9), pp. 892-904, 2014
  6. M. Goryawala, S. Gulec, R. Bhatt, A.J. McGoron, and M. Adjouadi, “A Low-Interaction Automatic 3D Liver Segmentation Method Using Computed Tomography for Selective Internal Radiation Therapy”, Biomed Research International, Article Number: 198015, DOI: 10.1155/2014/198015, 2014. PMID: 25105118.
  7. P.D. McCall, M. L. Naudeau, and M. Adjouadi, “Debris characterization techniques via unresolved LWIR imaging from a space-based platform”, Journal of Applied Remote Sensing, doi: 10.1117/1.JRS.8.084989 Vol. 8, 084989:1-13, May 1, 2014.
  8. Z. Wang, L. Guo and M. Adjouadi, “A Generalized Leaky Integrate-and-Fire Neuron Model with Fast Implementation Method”, International Journal of Neural Systems, 15 pages, Vol. 24, No. 5 (2014), DOI: 10.1142/S012906571445004X, 2014.
  9. P. Ren, A. Barreto, J. Huang, Y. Gao, F.R. Ortega, and M. Adjouadi, “Off-line and On-line Stress Detection Through Processing of the Pupil Diameter Signal”, Annals of Biomedical Engineering, Vol. 42 (1), pp. 162-176, January 2014.
  10. K. Vedala, S. M. A. Motahari, M. Cabrerizo, M. Goryawala, I. Yaylali, and M. Adjouadi, “Quasi-stationarity of EEG for Intraoperative Monitoring During Spinal Surgeries” The Scientific World Journal Volume 2014 (2014), Article ID 468269, 8 pages, DOI:10.1155/2014/468269, 2014. PMID: 24695792.
  11. Q. Zhou, M. Goryawala, M. Cabrerizo, W. Barker, R. Duara, and M. Adjouadi , “Significance of Normalization on Anatomical MRI Measures in Predicting Alzheimer’s Disease”, The Scientific World Journal,  Vol. 2014 (2014), Article ID 541802, 12 pages,, 2014.

  1. X. You, M. Adjouadi, J. Wang, M. Guillen, B. Bernal, J. Sullivan, E. Donner, B. Bjornson, M. Berl, and W.D. Gaillard “A Decisional Space for fMRI Pattern Separation Using the Principal Component Analysis –A Comparative Study of Language Networks in Pediatric Epilepsy”, Human Brain Mapping, Vol. 34 (9), pp. 2330-2342, September 2013.
  2. A. M. Guzman, M. Goryawala, J. Wang, A. Barreto, A. ; J. Andrian, N. Rishe, and M. Adjouadi, “Thermal Imaging as a Biometrics Approach to Facial Signature Authentication”, IEEE Journal of Biomedical and Health Informatics, Vol. 17 (1), pp.  214-222, January 2013.
  3. B. Sun, M. M. Berl, T. G. Burns, W. D. Gaillard, L. Hayes, M. Adjouadi, R. A. Jones, “Age association of language task induced deactivation induced in a pediatric population”, NeuroImage, Vol. 65, pp. 23-33, January 2013.
  4. P. Ren, A. Barreto, Y. Gao, and M. Adjouadi, “Affective Assessment by Digital Processing of the Pupil Diameter”, IEEE Transactions on Affective Computing, Vol. 4(1), pp. 2-14, Jan-June, 2013.
  5. P.D. McCall; M. Naudeau, J. Andrian, A. Barreto, N. Rishe, and M. Adjouadi, “Space-Based Characterization of Debris in Low-Earth Orbit via LWIR Imaging”, Advances in the Astronautical Sciences, Vol. 150, pp. 2211-2221, Aug 15, 2013.

  1. M. Goryawala, M. R. Guillen, S. Gulec, T. Barot, R. Suthar, R. Bhatt, A. McGoron and M. Adjouadi, “An Accurate 3D Liver Segmentation Method for Selective Internal Radiation Therapy Using a Modified K-Means Algorithm and Parallel Computing”, Int. J. of Innovative Computing Information and Control, Vol. 8(7), pp. 6515-6538, October 2012.
  2. R. Bhatt, M. Adjouadi, M. Goryawala, S. Gulec, and A. McGoron, “An algorithm for PET tumor volume and activity quantification: Without specifying camera’s point spread function (PSF)”, Medical Physics, Vol. 39 (7), pp. 4187-4202, July 2012.
  3. M. Lahlou and M. Adjouadi, “Surface Reflectance Components Separation from Single Color Images Using the Mean-Shift Decomposition Technique”, Int. J. of Innovative Computing Information and Control, Vol. 8(7A), pp. 5149-5164-, July 2012.
  4. K. Vedala, I. Yaylali, M. Cabrerizo, M. Goryawala, and M. Adjouadi, “ Peak Detection of Somatosensory Evoked Potentials using an Integrated PCA-Walsh Method”, Journal of Clinical Neurophysiology, Vol. 29(2), pp. 165-173, April 2012.
  5. M. Goryawala, I. Yaylali, M. Cabrerizo, K. Vedala, and M. Adjouadi, “An effective Intra-operative Neurophysiological Monitoring Scheme for Aneurysm Clipping and Spinal Fusion surgeries”, Journal of Neural Engineering, Vol. 9 (2), (12 pages), DOI: 10.1088/1741-2560/9/2/026021, Mar 15, 2012. PMID: 22419062
  6. M. Cabrerizo, M. Ayala, , M. Goryawala, P. Jayakar, and M. Adjouadi, “A New Parametric Feature Descriptor for the Classification of Epileptic and Control EEG Records In Pediatric Population”, International Journal of Neural Systems, 22:2, (16 pages), April 2012. PMID: 23627587.
  7. M. Goryawala, M. R. Guillen, S. Gulec, T. Barot, R. Suthar, R. Bhatt, A. Mcgoron, M. Adjouadi “A 3D Liver Segmentation Method with Parallel Computing for Selective Internal Radiation Therapy”, IEEE Transactions on Information Technology in BioMedicine, Vol. 16(1), pp. 62-69, January 2012.

  1. M. Cabrerizo, M. Ayala, P. Jayakar, and M. Adjouadi, “Classification and Medical Diagnosis of Scalp EEG using Artificial Neural Networks”, International Journal of Innovative Computing, Information and Control, Vol. 7 (12), pp. 6905-6918, December 2011.
  2. J. Wang, A. Barreto, N. Rishe, J. Andrian, and M. Adjouadi, “A Fast Incremental Multilinear Principal Component Analysis Algorithm” International Journal of Innovative Computing, Information and Control,  Vol. 7 (10), pp. 6019—6040, October 2011.
  3. A. Q. Gates, S. Hug, H. Thiry, R. Aló, M. Beheshti, J. Fernandez, N. Rodriguez, and M. Adjouadi “The Computing Alliance of Hispanic-Serving Institutions: Supporting Hispanics at Critical Transition Points”, ACM Transactions on Computing Education (TOCE), Volume 11 Issue 3, Article No. 16, doi:10.1145/2037276.2037280, October 2011.
  4. M. Goryawala, M. R. Guillen, A. Barreto, R. Bhatt, S. Gulec, T. Barot, R. Suthar, A. McGoron, M. Adjouadi, “Design and Evaluation of Parallel Processing Techniques for 3D Liver Segmentation and Volume Rendering”, i-manager’s Journal on Software Engineering, Vol. 5(4), pp. 12-26 April/June 2011.
  5. X. You, M. Adjouadi, M. Guillen, M. Ayala, A. Barreto, N.  Rishe, J. Sullivan, D. Dlugos, J. VanMeter, D. Morris, E. Donner, B. Bjornson, M.L. Smith, B. Bernal, M. Berl,  W.D. Gaillard, “Sub-Patterns of language network reorganization in Pediatric Localization Related Epilepsy- a Multisite Study”, Human Brain Mapping, Vol. 32 (5), pp. 784-799, May 2011.
  6. M. Ayala, M. Cabrerizo, P. Jayakar, and M. Adjouadi, “Subdural EEG Classification into Seizure and Non-seizure Files Using Neural Networks in the Gamma Frequency Band”, Journal of Clinical Neurophysiology, 28(1):20-29, February 2011.

  1. M. Ayala, M. Adjouadi, M. Cabrerizo, and A. Barreto, “A Windows-Based Interface for Teaching Image Processing”, Computer Applications in Engineering Education, Vol. 18 (2):213-224, June 2010.
  2. J. Wang, A. Barreto, L. Wang, Y. Chen, N. Rishe, J. Andrian, M. Adjouadi, “Multilinear Principal Component Analysis for Face Recognition with Fewer Features”, Neurocomputing, (73): 1550-1555, June 2010.
  3. M. Adjouadi, M. Ayala, M. Cabrerizo, A. Zong, G. Lizarraga, and M. Rossman, “Classification of Leukemia Blood Samples Using Neural Networks”, Annals of Biomedical Engineering, Vol. 38 (4), pp. 1473-1482, April 2010.
  4. Y. Chen, M. Adjouadi, C. Han, J. Wang, A. Barreto, N. Rishe, J. Andrian “A highly accurate and computationally efficient approach for unconstrained iris segmentation”, Image and Vision Computing, 28 (2): 261-269, February 2010.
  5. K. Faller, A. Barreto, M. Adjouadi, “Augmented Hankel Total Least-Squares Decomposition of Head-Related Transfer Functions”, Journal of the Audio Engineering Society, JAES Volume 58 Issue 1-2 pp. 3-21; Jan-Feb 2010.
  6. M. Tito, M. Cabrerizo, M. Ayala, P. Jayakar, and M. Adjouadi, “A Comparative Study of Intracranial EEG Files Using Nonlinear Classification Methods”, Annals of Biomedical Engineering, Vol. 38 (1), pp. 187-199, January 2010.

  1. M. Tito M, Cabrerizo M, Ayala M, Jayakar P, Adjouadi M, “Seizure Detection: An Assessment of Time- and Frequency-Based Features in a Unified 2-D Decisional Space using Nonlinear Decision Functions”, Journal of Clinical Neurophysiology, 26 (6), pp. 381-391, Dec. 2009.
  2. M. Ayala, M. Cabrerizo, M. Tito, A. Barreto, M. Adjouadi “A Spreadsheet Application for Processing Long-Term EEG Recordings”, Computers in Biology and Medicine, Vol. 39, Issue 9, pp. 844 – 851, September 2009.
  3. C. A. Chin, A. Barreto and M. Adjouadi, “Integration of EMG and EGT Modalities for the Development of an Enhanced Cursor Control System” International Journal on Artificial Intelligence Tools, Vol. 18, No. 3, pp. 399- 414, 2009.
  4. M.Tito, M. Cabrerizo, M. Ayala, A. Barreto, I .Miller, P. Jayakar, and M. Adjouadi “Classification of electroencephalographic seizure recordings into ictal and interictal files using correlation sum”, Computers in Biology and Medicine, Vol. 39 (7), pp. 604-614, Jul 2009.

  1. M. Alonso, A. Barreto and M. Adjouadi, “Digital image inverse filtering for improving visual acuity for computer users with visual aberrations”, Inverse Problems in Science and Engineering, Vol. 16, No. 8, pp. 957–966, December 2008.
  2. A. Sesin, M. Adjouadi, M. Ayala, M. Cabrerizo and A. Barreto, “An Adaptive Eye Gaze Tracking Using Neural Network- Based User Profiles to Assist People with Motor Disability”, Journal of Rehabilitation Research and Development, Vol. 45 (6), pp. 801-817, 2008.
  3. A. Sesin, M. Adjouadi, M. Ayala, M. Cabrerizo and A. Barreto, “Eyeing a Real-Time Human-Computer Interface to Assist those with Motor Disabilities”, IEEE Potentials, Vol. 27 No. 3, pp. 19-26, 2008.
  4. C. Chin, A. Barreto, J. G. Cremades, and M. Adjouadi, “Integrated Electromyogram and Eye-gaze Tracking Cursor Control System for Computer Users with Motor Disabilities” Journal of Rehabilitation Research and Development, Vol. 45 (1), pp. 161-174, 2008.

  1. D. Sanchez, M. Adjouadi, N. Altman, , D. Sanchez, B. Bernal “Comprehensive 3-D Fiber Tracking as a New Visualization System in Brain Studies”, International Journal of Image and Graphics, Vol. 7, No. 4, pp. 749-766, October 2007.
  2. A. Simon and M. Adjouadi, “A Programming Tool for Enhancing the Teaching of Image Processing”, Computers in Education, Vol. XVII (1), pp. 85-94, Jan-March, 2007.

  1. C. Weiting and M. Adjouadi, “Design and Implementation of Wavelet-Domain Video Compression using Multiresolution Motion Estimation and Compensation”, International Journal of Image and Graphics, Vol. 6, No. 4, pp. 533-549, October 2006.
  2. M. Cabrerizo, M. Adjouadi, M. Ayala, and K. Nunez, “An Inverse Solution To Functional Brain Mapping of the Auditory Process Using an Eigensystem Study”, Inverse Problems in Science & Engineering, Taylor and Francis, Vol. 14 (4), pp. 437-452, June 2006.
  3. A. Simon, M. Adjouadi, and M. Ayala, “A .NET Solution for Distributed Computing Applications”, IEEE Potentials, Vol. 25 (2), pp.24-28, March/April 2006.
  4. M. Rossman, M. Adjouadi, M. Ayala and I.Yaylali, “An Interactive Interface for Seizure Focus Localization Using SPECT Image Analysis”, Computers in Biology and Medicine. Volume 36, Issue 1 , pp. 70-88 January 2006.

  1. M. Adjouadi, M. Cabrerizo, M. Ayala, and N. Mirkovic “Seizing lesions in 3-D”, IEEE Potentials, Vol. 24, Issue 5, pp. 11-17, December 2005.
  2. M. Alonso, A. Barreto, J.G. Cremades, J. Jacko, and M. Adjouadi, “Image Pre-compensation to facilitate computer access for users with refractive errors”, Behaviour & Information Technology, vol. 24, no. 3, pp. 161-173, May-June 2005.
  3. M. Cabrerizo, M. Adjouadi, M. Ayala, Kirenia Nunez, Jayakar and I. Yaylali “Integrated Study of Topographical Functional Based on an Auditory-Comprehension Paradigm Using an Eigensystem Study and Spectrum Analysis”, Brain Topography, Vol. 17 (3), pp. 151-163, March 2005.
  4. M. Adjouadi, M. Cabrerizo, M. Ayala, D. Sanchez, P. Jayakar, I. Yaylali, and A. Barreto “Detection of Interictal Spikes and Artifactual Data through Orthogonal Transformations”, Journal of Clinical Neurophysiology, Vol. 22(1), pp. 53-64, January/February 2005.
  5. M. Adjouadi and A. Zong, “Multidimensional Pattern Recognition and Classification of White Blood Cells Using Support Vector Machines”, Journal of Particle and Particle Systems Characterization, Wiley-VCH, Volume 22, Issue 2, pp. 107-118, September 2005.

  1. M. Adjouadi and M. Ayala, “Introducing Neural Studio: An Artificial Neural Networks Simulator for Educational Purposes”, Computers in Education Journal, Vol. 14, No. 3, pp. 33-40, July-Sept. 2004.
  2. G. Cremades, D. Sanchez, M. Adjouadi, and A. Barreto, “Human-computer interfaces with regional lower and upper alpha frequencies as on-line indexes of mental activity”, Computers in Human
    Volume 20, Issue 4, pp. 569-579, July 2004.
  3. M. Adjouadi, D. Sanchez, M. Cabrerizo, M. Ayala, P. Jayakar, I. Yaylali, and A. Barreto, “Interictal Spike Detection Using the Walsh Transform”, IEEE Transactions on Biomedical Engineering, Vol. 51, No. 5, pp.868-873, May 2004.
  4. M. Adjouadi, M. Cabrerizo, I. Yaylali, and P. Jayakar, “Interpreting EEG Functional Brain Activity”, IEEE Potentials, Vol. 23, Issue 1, pp. 8-13, Feb/March Issue 2004.

  1. N. Mirkovic, M. Adjouadi, I. Yaylali, and P. Jayakar “3-D Source Localization of Epileptic Interictal Spikes”, Brain Topography, Vol. 16, No.2, pp. 111-119, Jan. 2003.
  2. M. Adjouadi and M. Ayala, “Making Waves Useful”, IEEE Potentials, pp. 6-11, Vol. 22 (1), Feb/March 2003.

  1. M. Adjouadi, and N. Fernandez, “An Orientation-Independent Imaging Technique for the Classification of Blood Cells”, Journal of Particle and Particle Systems Characterization, Vol. 18 No. 2, pp. 91–98, Wiley-VCH-Interscience, July 2001.

  1. M.Adjouadi, C. Reyes, J. Riley, P. Vidal, “Adaptive Filtering for Flow-Cytometric Particles”, Journal of Particle and Particle Systems Characterization, Vol. 17, No.3, pp. 126-133 Wiley-VCH-Inter-Science, October 2000.
  2. C. Godefroy and M. Adjouadi, “Particle Sizing in a Flow Environment Using Light Scattering Patterns”, Journal of Particle and Particle Systems Characterization, Vol. 17, No. 2, Wiley-VCH-Interscience, pp. 47-55, July 2000.
  3. A. Barreto, S. Scargle and M. Adjouadi, “A Practical EMG-Based Human-Computer Interface for Users with Motor Disabilities”, Journal of Rehabilitation Research and Development, Vol. 37, No. 1, pp. 53-63, Jan-Feb 2000.
  4. M. Adjouadi, C. Reyes, P. Vidal, A. Barreto, “An Analytical Approach to Signal Reconstruction Using Gaussian Approximations Applied to Randomly Generated and Flow Cytometric Data”, IEEE Transactions on Signal Processing, Vol. 48, No. 10, pp. 2839-2849, October 2000.

  1. A. Barreto, A. Taberner, M. Adjouadi M., “Mu Rhythm Variability and its Impact on the Development of Brain-Computer Interfaces”, Journal de Genie Biologique et Medical, ITBM (Innovation and Technology in Biology and Medicine), Vol. 20 (3), pp. 131-139, January 1999.
  2. A Barreto, S. Scargle, and M. Adjouadi, “A Real-Time Assistive Computer Interface for Users with Motor Disabilities”, Invited, SIGGAPH ACM Press, ACM Special Interest Group on Computers and the Physically Handicapped, Number 64, pp. 6-16, June 1999.

  1. F. Candocia and M. Adjouadi, “A Similarity Measure for Stereo Feature Matching”, IEEE Transactions on Image Processing, Vol. 6, No. 10, pp. 1460-1464, October 1997.
  2. C. Reyes and M. Adjouadi “A Directional Clustering Technique for Random Data Classification”, Journal of Cytometry, Vol. 27, No. 2, pp. 126-135, February 1997.

  1. M. Adjouadi, F. Candocia, X. Zhang and John Riley “Exploiting Walsh-Based Attributes in Stereo Vision”, IEEE Transactions on Signal Processing, Vol. 44, No. 2, pp. 409-420, February 1996.

  1. M. Adjouadi, J. Riley, F. Candocia, J. Andrian, and H. Sumargo ” An Augmented Computer Vision Approach for Enhanced Image Understanding”, Journal of Rehabilitation Research and Development, Vol. 32, No. 3, pp. 264-279, October 1995.

  1. M. Adjouadi and F. Candocia,” A Stereo Matching Paradigm Based on the Walsh Transformation”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 16, No. 12, pp. 1212-1218, Dec. 1994.

  1. M.Adjouadi “A Man-Machine Vision Interface for Sensing the Environment”, Journal of Rehabilitation Research and Development, Vol. 29, No. 2, pp. 57-76, 1992. Selected as outstanding publication in its field, the Clinical Digest Series Journal, H. H. van Osdol, Editor, Jul. 1992.