Ivo D. Dinov, Publications

Full-size Research Articles	Published Abstracts	Publication Stats	Scientific Reviewer For
2023 2022, 2021, 2020 2019, 2018, 2017 2016, 2015, 2014 2013, 2012, 2011 2010, 2009, 2008 2007, 2006, 2005 2004, 2003, 2002-prior Others	Published Abstracts	H-Index I10-Index Google Scholar PubMed/Entrez ORCID MyNCBI Pubs Michigan Experts	IEEE Transactions on Medical Imaging (TMI) NeuroImage MERLOT JOLT Computers & Education Prentice Hall Pearson Education Human Brain Mapping Journal Journal of Digital Imaging Frontiers Computer Methods and Programs in Biomedicine Studies in Higher Education

2023
Dinov, ID, 2023. Data Science and Predictive Analytics: Biomedical and Health Applications using R, 2^nd edition, Springer Series in Applied Machine Learning, ISBN 978-3-031-17482-7.
Ottom, MA, Abdul Rahman, H, Alazzam, IM, and Dinov, ID. (2023) Multimodal Stereotactic Brain Tumor Segmentation Using 3D-Znet, Bioengineering, 10(5):581, DOI: 10.3390/bioengineering10050581.
Zhang, Y, Shen, Y, Zhang, R, Liu, Y, Guo, Y, Deng, D and Dinov, ID. (2023) Numerical methods for computing the discrete and continuous Laplace transforms, arXiv:2304.13204, DOI: 10.48550/arXiv.2304.13204.
Moon SW, Zhao L, Matloff W, Hobel, S, Berger, R, Kwon, D, Kim, J, Toga, AW, and Dinov, ID. (2023) Brain structure and allelic associations in Alzheimer's disease, CNS Neuroscience & Therapeutics, 29:1034-1048, DOI: 10.1111/cns.14073.
Niraula, D. Sun, W. Jin, J. Dinov, ID, Cuneo, K, Jamaluddin, J, Matuszak, MM, Luo, Y, Lawrence, TS, Jolly, S, Haken, RKT, and El Naqa, I. (2023) A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS), Sci Rep 13, 5279, DOI: 10.1038/s41598-023-32032-6.
Abdul Rahman, H, Kwicklis M, Ottom M, Amornsriwatanakul A, H. Abdul-Mumin K, Rosenberg M, and Dinov, ID. (2023) Machine Learning-Based Prediction of Mental Well-Being Using Health Behavior Data from University Students, Bioengineering, 10(5):575, DOI: 10.3390/bioengineering10050575.
Abdul Rahman, H, Ottom, MA, and Dinov, ID. (2023) Machine learning-based colorectal cancer prediction using global dietary data, BMC Cancer, 23(144):1-13, DOI: 10.1186/s12885-023-10587-x.
Marino, S, Jassar, H, Kim DJ, Lim. M, Nascimento, TD, Dinov, ID,, Koeppe, RA, DaSilva, AF. (2023) Classifying migraine using PET compressive big data analytics of brain’s μ-opioid and D2/D3 dopamine neurotransmission, Frontiers in Pharmacology, 14, DOI: 10.3389/fphar.2023.1173596.
Weigard, A., McCurry, K.L., Shapiro, Z. Martz, ME, Angstadt, M, Heitzeg, MM, Dinov, ID, and Sripada, C. (2023) Generalizable prediction of childhood ADHD symptoms from neurocognitive testing and youth characteristics, Translational Psychiatry, 13(1), 225, DOI: 10.1038/s41398-023-02502-6.
2022
Wang, Y, Shen Y, Deng, D, Dinov, ID. (2022) Determinism, Well-posedness, and Applications of the Ultrahyperbolic Wave Equation in Spacekime, Journal of Partial Differential Equations in Applied Mathematics, 5(100280), DOI: 10.1016/j.padiff.2022.100280.
Bobrovnikov, M, Chai, JT, and Dinov, ID. (2022) Interactive Visualization and Computation of 2D and 3D Probability Distributions, SN Computer Science, 3, 327, DOI: 10.1007/s42979-022-01206-w.
Zhou, N., Wu, Q., Wu, Z., Marino, S., Dinov, ID. (2022) DataSifterText: Partially Synthetic Text Generation for Sensitive Clinical Notes, Journal of Medical Systems, 46(96):1-14, DOI: 10.1007/s10916-022-01880-6.
Zhang, R, Zhang, Y, Liu, Y, Guo, Y, Shen, Y, Deng, D, Qiu, Y, Dinov, ID. (2022) Kimesurface Representation and Tensor Linear Modeling of Longitudinal Data, Neural Computing and Applications Journal, 34:6377–6396, DOI: 10.1007/s00521-021-06789-8.
Ottom, MA, Rahman, HA, and Dinov, ID. (2022) Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation, IEEE Journal of Translational Engineering in Health and Medicine, DOI: 10.1109/JTEHM.2022.3176737, 2168-2372, 10:1-8.
Kalinin, AA; Palanimalai, S; Zhu, J; Wu, W; Devraj, N; Ye, C; Ponarul, N; Husain, SS; Dinov, ID. (2022) SOCRAT: A Dynamic Web Toolbox for Interactive Data Processing, Analysis and Visualization, Journal Information, 13(547):1-24, DOI: 10.3390/info13110547.
Yamada, C, Edelson, MF, Lee, AC, Saifee, NH, Dinov, ID. (2022) Transfusion-associated hyperkalemia in pediatric population: Analyses for risk factors and recommendations, Transfusion, 62(12):2503-2514, DOI: 10.1111/trf.17135.
Wattanapisit, A, Abdul Rahman, H, Car, J, Abdul-Mumin, KH, de la Cruz, MHTO, Chia, M, Rosenberg, M, Ho, MHR, Chaiyasong, S, Mahmudiono, T, Rodjarkpai, Y, Dinov, ID, Ottom, M, and Amornsriwatanakul, A. (2022) The clusters of health-risk behaviours and mental wellbeing and their sociodemographic correlates: a study of 15,366 ASEAN university students, BMC Public Health, 22(1840), DOI: 10.1186/s12889-022-14233-2.
Sun, W, Niraula, D, El Naqa, I, Haken, RKT, Dinov, ID, Cuneo, K, and Jin, J. (2022) Precision radiotherapy via information integration of expert human knowledge and AI recommendation to optimize clinical decision making, Computer Methods and Programs in Biomedicine, 106927(221):1-10, DOI: 10.1016/j.cmpb.2022.106927.
Chai, JT, Bobrovnikov, M, and Dinov, ID. (2022) Probability Distributome - Computing, Visualization, and Instruction, Proceedings of the 2021 conference of the International Association for Statistical Education (IASE) Statistics Education in the Era of Data Science, DOI: 10.52041/iase.pdsxt, in Statistics Education in the Era of Data Science, Helenius & Falck (editors).
Zhou N, Brook RD, Dinov, ID, Wang L. (2022) Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text, Biometrical Journal, 64(4):805-817, DOI: 10.1002/bimj.202100077.
Zhou, N, Wang, L, Marino, S, Zhao, Y, Dinov, ID. (2022) DataSifter II: Partially Synthetic Data Sharing of Sensitive Information Containing Time-varying Correlated Observations, Journal of Algorithms & Computational Technology, 15:1–17, DOI: 10.1177/17483026211065379.
2021
Dinov, ID and Velev, MV. (2021) Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics, De Gruyter, STEM Series, ISBN 978-3-11-069780-3, DOI 10.1515/9783110697827.
Noshad, M, Choi, J, Sun, Y, Hero, A, and Dinov, ID. (2021) A data value metric for quantifying information content and utility, Journal of Big Data, 8(82):1-23, DOI: 10.1186/s40537-021-00446-6.
Dinov, ID, Аtheу, BD, Dilworth, DS, Allyn-Feuer, A, Kalinin, A, Ade, AS. (February 9, 2021). Three-Dimensional Cell and Tissue Image Analysis for Cellular and Sub-Cellular Morphological Modeling and Classification, US Patent Awarded, No.10,915,729, Patent Doc Image.
Anderson, C, Bekele, Z, Qiu, Y, Tschannen, D, and Dinov, ID. (2021) Modeling and prediction of pressure injury in hospitalized patients using artificial Intelligence, BMC Med. Inform. Decis. Mak., 21:253, DOI: 10.1186/s12911-021-01608-5.
Kalinin, A.A., Hou, X., Ade, A.S., Fon, G.V., Meixner, W., Higgins, G.A., Sexton, J.Z., Wan, X., Dinov, I.D., O'Meara, M.J. and Athey, B.D. (2021). Valproic Acid-Induced Changes of 4D Nuclear Morphology in Astrocyte Cells , Molecular Biology of the Cell, pp.mbc-E20, PMID: 33909457, 10.1091/mbc.E20-08-0502, 32(18):1624-1633.
2020
Dinov, ID. (2020). Modernizing the Methods and Analytics Curricula for Health Science Doctoral Programs, Frontiers in Public Health, 8(22):1-10, DOI: 10.3389/fpubh.2020.00022.
Dinov, ID, Vandervest, J, and Marino, S. (Sept. 15, 2020). Electronic Medical Record Datasifter, US Patent Awarded, No.10,776,516, Patent Doc Image.
Katapodi, MC, Ming, C, Northouse, LL, Duffy, SA, Duquette, D, Mendelsohn-Victor, KE, Milliron, KJ, Merajver, SD, Dinov, ID, Janz, NK. (2020) Genetic Testing and Surveillance of Young Breast Cancer Survivors and Blood Relatives: A Cluster Randomized Trial, Cancers, 12:2526, DOI: 10.3390/cancers12092526.
Marino, S, Zhao, Y, Zhou, N, Zhou, Y, Toga, AW, Zhao, L, Jian, Y, Yang, Y, Chen, Y, Wu, Q, Wild, J, Cummings, B, Dinov, ID. (2020). Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets, PLoS ONE, 15(8):e0228520, DOI: 10.1371/journal.pone.0228520.
Ming, C, Viassolo, V, Probst-Hensch, N, Dinov, ID, Chappuis, PO, Katapodi, MC. (2020). Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations, British Journal of Cancer, 123:860–867, DOI: 10.1038/s41416-020-0937-0.
2019
Zhou, Y, Zhao, Zhou, N, Zhao, Yi, Marino, S, Wang, T, Sun, H, Toga, AW, Dinov, ID. (2019). Predictive Big Data Analytics using the UK Biobank Data, Scientific Reports, 9(1): 6012, DOI: 10.1038/s41598-019-41634-y.
Dinov, ID. (2019). Flipping the grant application review process, Studies in Higher Education, 45:8, 1737-1745, DOI: 10.1080/03075079.2019.1628201.
Sta. Cruz, S, Dinov, ID, Herting, MM, González-Zacarías, C, Kim, H, Toga, AW, and Sepehrband, F. (2019). Imputation Strategy for Reliable Regional MRI Morphological Measurements, Neuroinformatics, 18:59–70, DOI: 10.1007/s12021-019-09426-x.
Ming, C, Viassolo, V, Probst-Hensch, N, Chappuis, PO, Dinov, ID, and Katapodi, MC. (2019) Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models, Breast Cancer Research 21(1):75, DOI: 10.1186/s13058-019-1158-4. Ming, C, Viassolo, V, Probst-Hensch, N, Chappuis, PO, Dinov, ID, and Katapodi, MC. (2020) Letter to the editor: Response to Giardiello D, Antoniou AC, Mariani L, Easton DF, Steyerberg EW, Breast Cancer Research 22:35, DOI: 10.1186/s13058-020-01274-x.
Potempa, K, Rajataramya, B, Barton, DL, Singha-Dong, N, Stephenson, R, Smith, EML, Davis, M, Dinov, I, Hampstead, BM, Aikens, JE, Saslow, L, Furspan, P, Sarakshetrin, A, and Pupjain, S. (2019) Impact of using a broad-based multi-institutional approach to build capacity for non-communicable disease research in Thailand, Health Research Policy and Systems, 17:62, DOI: 10.1186/s12961-019-0464-8.
Dinov, ID. (2019) Quant data science meets dexterous artistry, International Journal of Data Science and Analytics, 7(2):81–86, DOI: 10.1007/s41060-018-0138-6.
Marino, S, Zhou, N, Zhao, Yi, Wang, L, Wu Q, and Dinov, ID. (2019) DataSifter: Statistical Obfuscation of Electronic Health Records and Other Sensitive Datasets, Journal of Statistical Computation and Simulation, 89(2): 249–271, DOI: 10.1080/00949655.2018.1545228.
Avesani, P, McPherson, B, Hayashi, S, Caiafa, CF, Henschel, R, Garyfallidis, E, Kitchell, L, Bullock, D, Patterson, A, Olivetti, E, Sporns, O, Saykin, JA, Wang, L, Dinov, ID, Hancock, D, Caron, B, Qian, Y, and Pestilli, F. (2019) The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services, Scientific data, 6(1):69, DOI: 10.1038/s41597-019-0073-y.
2018
Dinov, ID, 2018. Data Science and Predictive Analytics: Biomedical and Health Applications using R, Springer, Computer Science, ISBN 978-3-319-72346-4.
Tang, M., Gao, C, Goutman, SA, Kalinin, A, Mukherjee, B, Guan, Y, and Dinov, ID. (2018) Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering, Neuroinformatics, 17:407–421, DOI: 10.1007/s12021-018-9406-9.
Kalinin, AA, Allyn-Feuer, A, Ade, A, Fon, GV, Meixner, W, Dilworth, D, Husain, SS, de Wett, JR, Higgins, GA, Zheng, G, Creekmore, A, Wiley, JW, Verdone, JA, Veltri, RW, Pienta, KJ, Coffey, DS, Athey, BD, and Dinov, ID. (2018) 3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification, Scientific Reports, 8(1): 13658.
Marino S, Xu J, Zhao Y, Zhou N, Zhou Y, Dinov, ID. (2018) Controlled feature selection and compressive big data analytics: Applications to biomedical and health studies, PLoS ONE 13(8): e0202674, DOI: 10.1371/journal.pone.0202674.
Zhao, L. Matloff, W, Ning, K, Kim, H, Dinov, ID, and Toga AW. (2018) Age-Related Differences in Brain Morphology and the Modifiers in Middle-Aged and Older Adults, Cerebral Cortex, 29(10):4169–4193, DOI: 10.1093/cercor/bhy300.
Zheng G, Kalinin AA, Dinov, ID, Meixner W, Zhu S, Wiley JW. (2018) Hypothesis: Caco‐2 cell rotational 3D mechanogenomic turing patterns have clinical implications to colon crypts, J Cell Mol Med. 2018;00:1–6, DOI: 10.1111/jcmm.13853.
Gao C, Sun H, Wang T, Tang M, Bohnen NI, Müller MLTM, Herman, T, Giladi, N. Kalinin, A, Spino, C, Dauer, W, Hausdorff, JM, Dinov, ID. (2018) Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease, Scientific Reports, 8(1):7129. doi: 10.1038/s41598-018-24783-4 2018.
Dinov, ID, Palanimalai, S, Khare, A, and Christou, N. (2018) Randomization‐based Statistical Inference: A resampling and simulation infrastructure, Teaching Statistics, 40: 64–73. DOI: 10.1111/test.12156.
Sepehrband, F., Lynch, K.M., Cabeen, R.P., González-Zacarías, C., Zhao, L., D’Arcy, M., Kesselman, C., Herting, M.M., Dinov, I.D., Toga, A.W., Clark, K.A., 2018. Neuroanatomical morphometric characterization of sex differences in youth using statistical learning, NeuroImage, 172:217–227, DOI: 10.1016/j.neuroimage.2018.01.065.
Kalinin, AA, Higgins, GA, Reamaroon, N, Soroushmehr, SM, Allyn-Feuer, A, Dinov, ID, Najarian, K, Athey, BD. (2018). Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification, Pharmacogenomics 19:7, 629-650.
2017
Amiri, S and Dinov, ID. 2017. msktuple: An integrated R library for alignment-free multiple sequence k-tuple analysis, Chemometrics and Intelligent Laboratory Systems 168:84-88, DOI: 10.1016/j.chemolab.2017.07.012.
Huang Z, Zhang H, Boss J, Goutman SA, Mukherjee B, Dinov ID, Guan, Y. (2017) Complete hazard ranking to analyze right-censored data: An ALS survival study . PLoS Comput Biol 13(12): e1005887, DOI: 10.1371/journal.pcbi.1005887.
Stelmokas J, Yassay L, Giordani B, Dodge H, Dinov, ID, Bhaumik A, Sathian, K, Hampstead, BM. 2017. Translational MRI Volumetry with NeuroQuant: Effects of Version and Normative Data on Relationships with Memory Performance in Healthy Older Adults and Patients with Mild Cognitive Impairment, Journal of Alzheimer's disease 60(4):1499-1510, DOI: 10.3233/JAD-170306.
Kalinin AA, Allyn-Feuer A, Ade A, Fon G-V, Meixner W, Dilworth D, de Wet, JR, Higgins, GA, Zheng, G, Creekmore, A, Wiley, JW, Verdone, JE, Veltri, RW, Pienta, KJ, Coffey, DS, Athey, BD, Dinov, ID. 2017. 3D cell nuclear morphology: microscopy imaging dataset and voxel-based morphometry classification results, bioRxiv 168:84-88, DOI: 10.1101/208207.
Kalinin, AA, Palanimalai, S, Dinov, ID. 2017. SOCRAT Platform Design: A Web Architecture for Interactive Visual Analytics Applications. In Proceedings of HILDA’17, Chicago, IL, USA, May 14, 2017, 6 pages. DOI: 10.1145/3077257.3077262.
2016
Dinov, ID, Heavner, B, Tang, M, Glusman, G, Chard, K, Darcy, M, Madduri, R, Pa, J, Spino, C, Kesselman, C, Foster, I, Deutsch, EW, Price, ND, Van Horn, JD, Ames, J, Clark, K, Hood, L, Hampstead, BM, Dauer, W, and Toga, AW. (2016) Predictive Big Data Analytics: A Study of Parkinson's Disease using Large, Complex, Heterogeneous, Incongruent, Multi-source and Incomplete Observations. PLoS ONE, 11(8):1-28, e0157077. DOI: 10.1371/journal.pone.0157077.
Amiri, S, Dinov, ID. (2016) Comparison of Genomic Data via Statistical Distribution. Journal of Theoretical Biology, 407:318–327. DOI: 10.1016/j.jtbi.2016.07.032.
Fu KA, Nathan R, Dinov I, Li J, Toga AW. (2016) T2-Imaging Changes in the Nigrosome-1 Relate to Clinical Measures of Parkinson’s Disease. Frontiers in Neurology, 7(174):1-27. DOI: 10.3389/fneur.2016.00174.
Dinov, ID. (2016) Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data, GigaScience, 5(12):1-15, DOI: 10.1186/s13742-016-0117-6
Dinov, ID. (2016) Health Science Analytics: Data- and Technology-Driven Approaches for Addressing Health Care Challenges, Advancing Well-Being, and Enhancing Nursing Education, in Shaping Nursing Science and Improving Health: The Michigan Legacy, (ed.) Shake Ketefian, DOI: 10.3998/mpub.9497632
Dinov, ID. (2016) Volume and Value of Big Healthcare Data, Journal of Medical Statistics and Informatics, 4(3):1-7, DOI: 10.7243/2053-7662-4-3
2015
Husain, SS, Kalinin, A, Truong, A, Dinov, ID. (2015) SOCR data dashboard: an integrated big data archive mashing medicare, labor, census and econometric information. Journal of Big Data, 2(13):1-18. DOI: 10.1186/s40537-015-0018-z
Moon, S., Dinov, ID, Kim, J, Zamanyan, A, Hobel, S, Thompson, PM, Toga, AW (2015) Structural Neuroimaging Genetics Interactions in Alzheimer's Disease. Journal of Alzheimer's Disease, 48(4):1051-63, doi: 10.3233/JAD-150335 (PMID: 26444770)
Lederman, C, Joshi, A, Dinov, I, Van Horn, JD, Vese, L, Toga, A. (2015) A Unified Variational Volume Registration Method Based on Automatically Learned Brain Structures, Journal of Mathematical Imaging and Vision, 2015:1-20, DOI: 10.1007/s10851-015-0604-x
Dinov, ID, Siegrist, K, Pearl, DK, Kalinin, A, Christou, N (2015). Probability Distributome: a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions. Computational Statistics, 594: 1-19. DOI: 10.1007/s00180-015-0594-6
Toga, AW, Foster, I, Kesselman, C, Madduri, R, Chard, K, Deutsch, E, Price, ND, Glusman, G, Heavner, BD, Dinov, ID, Ames, J, Van Horn, J, Kramer, R, Hood, L. (2015) Big Biomedical data as the key resource for discovery science, JAMIA, 22(6):1126-1131, DOI: DOI:10.1093/jamia/ocv077
Toga, AW, Dinov, ID. (2015) Sharing big biomedical data. Journal of Big Data, 2(7):1-12. DOI: 10.1186/s40537-015-0016-1
Moon, SW, Dinov, ID, Hobel, S, Zamanyan, A, Choi, YC, Thompson, PM, Toga, AW and Alzheimer's Disease Neuroimaging Initiative (ADNI) (2015) Structural Brain Changes in Early-Onset Alzheimer's Disease Subjects Using the LONI Pipeline Environment. Journal of Neuroimaging., 25(5):728–737, DOI: 10.1111/jon.12252
Moon, SW, Dinov ID, Zamanyan, A, Shi, R, Genco, A, Hobel, S, Thompson, PM, Toga, AW and Alzheimer's Disease Neuroimaging Initiative (ADNI) (2015) Gene Interactions and Structural Brain Change in Early-Onset Alzheimer's Disease Subjects Using the Pipeline Environment . Psychiatry Investigation., 12(1):125-135. DOI: 10.4306/pi.2015.12.1.125
Torgerson, CM, Quinn, C, Dinov, I, Liu, Z, Petrosyan, P, Pelphrey, K, Haselgrove, C, Kennedy, DN, Toga, AW, Van Horn, JD. (2015) Interacting with the National Database for Autism Research (NDAR) via the LONI Pipeline workflow environment. Brain Imaging and Behavior, 9(1):89-103. DOI: 10.1007/s11682-015-9354-z
2014
Dinov ID, Petrosyan P, Liu Z, Eggert P, Hobel S, Vespa P, Woo Moon S, Van Horn JD, Franco J and Toga AW. (2014) High-throughput neuroimaging-genetics computational infrastructure, Front. Neuroinformatics, 8:41. doi: 10.3389/fninf.2014.00041
Pujol, N, Penadés, R, Junqué, C, Dinov, I, Fu, CHY, Catalán, R, Ibarretxe-Bilbao, N, Bargalló, N, Bernardo, M, Toga, A, Howard, RJ, Costafreda, SG. (2014) Hippocampal abnormalities and age in chronic schizophrenia: morphometric study across the adult lifespan. The British Journal of Psychiatry, 205(5):369-375, doi: 10.1192/bjp.bp.113.140384
Pepe, A., Dinov, ID, Tohka, J (2014). An Automatic Framework for Quantitative Validation of Voxel Based Morphometry Measures of Anatomical Brain Asymmetry. Neuroimage, 100:444–459, doi: 110.1016/j.neuroimage.2014.06.029
Winegard, T, Herr, J, Mena, C, Lee, B, Dinov, I, Bird, D, Bernards Jr, M, Hobel, S, Van Valkenburgh, B, Toga, A, Fudge, D. (2014) Coiling and maturation of a high-performance fibre in hagfish slime gland thread cells, Nature Communications, 5(3534), DOI:10.1038/ncomms4534.
Hong, J-Y, Labus, JS, Jiang, Z, Ashe-Mcnalley, C, Dinov, I, Gupta, A, Shi, Y, Stains, J, Heendeniya, N, Smith, SR, Tillisch, K, Mayer, EA (2014) Regional Neuroplastic Brain Changes in Patients with Chronic Inflammatory and Non-Inflammatory Visceral Pain, PLoS ONE, 9(1): e84564, DOI: 10.1371/journal.pone.0084564.
2013
Dinov, ID, Petrosyan, P, Liu, Z, Eggert, P, Zamanyan, A, Torri, F, Macciardi, F, Hobel, S, Moon, SW, Sung, YH, Jiang, Z, Labus, J, Kurth, F, Ashe-McNalley, C, Mayer, E, Vespa, PM, Van Horn, JD, Toga, AW. (2013) The Perfect Neuroimaging-Genetics-Computation Storm: Collision of Petabytes of Data, Millions of Hardware Devices and Thousands of Software Tools, Brain Imaging and Behavior, 8(2):311-322, DOI: 10.1007/s11682-013-9248-x.
Labus, J, Dinov, ID, Jiang, Z, Ashe-McNalley, C, Zamanyan, A, Shi, Y, Hong, J-Y, Gupta, A, Tillisch, K, Ebrat, B, Hobel, S, Gutman, BA, Joshi, S, Thompson, PM, Toga, AW, Mayer, EA (2013) Irritable Bowel Syndrome in female patients is associated with alterations in structural brain networks, PAIN, 155(1):137–149, DOI: 10.1016/j.pain.2013.09.020.
Jiang Z, Dinov, ID, Labus J, Shi Y, Zamanyan A, Gupta, A, Ashe-McNalley, C, Hong, J-Y, Tillisch, K, Toga, AW, Mayer, EA. (2013) Sex-Related Differences of Cortical Thickness in Patients with Chronic Abdominal , PLoS ONE 8(9): e73932, DOI: doi:10.1371/journal.pone.0073932.
Li, J, Jin, Y, Shi, Y, Dinov, ID, Wang, DJ, Toga, AW, Thompson, PM. (2013) Voxelwise Spectral Diffusional Connectivity and Its Applications to Alzheimer’s Disease and Intelligence Prediction, LNCS 8149:655-662, DOI: doi:10.1007/978-3-642-40811-3_82.
Li, J, Shi, Y, Tran, G, Dinov, ID, Wang, DJ, Toga, AW. (2013) Fast Local Trust Region Technique for Diffusion Tensor Registration using Exact Reorientation and Regularization , IEEE TMI, 33(5):1005-1022.
Li, J, Shi, Y, Dinov, ID, Toga, AW. (2013) Locally Weighted Multi-atlas Construction, Multimodal Brain Image Analysis, MICCAI, Lecture Notes in Computer Science, 8159:1-8.
Dinov, ID, Kamino, S, Bhakhrani, B, Christou, N. (2013) Technology-enhanced Interactive Teaching of Marginal, Joint and Conditional Probabilities: The Special Case of Bivariate Normal Distribution, Teaching Statistics, 35(3):131–139,, DOI: 10.1111/test.12012.
Fani N, Gutman D, Tone EB, Almli, L, Mercer, KB, Davis, J, Glover, E, Jovanovic, T, Bradley, B, Dinov, ID, Zamanyan, A, Toga, AW, Binder, EB, Ressler, KJ. (2013) FKBP5 and Attention Bias for Threat: Associations With Hippocampal Function and Shape. JAMA Psychiatry. 2013;70(4):392-400:1-9. doi:10.1001/2013.jamapsychiatry.210.
Zhan, J, Dinov, ID, Li, J, Zhang, Z, Hobel, S, Shi, Y, Lin, X, Zamanyan, A, Feng, L, Teng, G, Fang, F, Tang, Y, Zang, F, Toga, AW, Liu, S. (2013) Spatial-Temporal Atlas of Human Fetal Brain Development During the Early Second Trimester, NeuroImage, 82:115–126, 10.1016/j.neuroimage.2013.05.063.
2012
Dinov, ID (2012). Integrated, Multidisciplinary, and Technology-Enhanced Science Education, in Encyclopedia of the Sciences of Learning, (ed.) Seel, NM, Springer, 1591-1593, Doi: 10.1007/978-1-4419-1428-6_1704.
Lam, H-C, Dinov, ID. (2012) Hyperbolic Wheel: A Novel Hyperbolic Space Graph Viewer for Hierarchical Information Content, ISRN Computer Graphics, Volume 2012, Article ID 609234, doi:10.5402/2012/609234 .
Torri, F., Dinov, ID, Zamanyan, A, Hobel, S, Genco, A, Petrosyan, P, Clark, AP, Liu, Z, Eggert, P, Pierce, J, Knowles, JA, Ames, J, Kesselman, C, Toga, AW, Potkin, SG, Vawter, MP, Macciardi, F. (2012) Next Generation Sequence Analysis and Computational Genomics Using Graphical Pipeline Workflows, Genes, 3(3):545-575; doi:10.3390/genes3030545.
Li, J, Shi, Y, Tran, G, Dinov, I, Wang, DJJ, Toga, AW. (2012) Fast Diffusion Tensor Registration with Exact Reorientation and Regularization, MICCAI 2012, LNCS, 7511/2012:138-145, DOI: 10.1007/978-3-642-33418-4_18.
Overman, JJ, Clarkson, AN, Wanner, IB, Overman, W, Eckstein, I, Maguire, JL, Dinov, ID, Toga, AW, Carmichael, ST. (2012) A role for ephrin-A5 in axonal sprouting, recovery, and activity-dependent plasticity after stroke, PNAS, 109(33): E2230–E2239, DOI: 10.1073/pnas.1204386109.
Mandal, PK, Mahajan, R, Dinov, ID (2012) Structural Brain Atlases: Design, Rationale and Applications in Normal and Pathological Cohorts, Journal of Alzheimer's Disease, 31:S169-S188, DOI: 10.3233/JAD-2012-120412.
Bramen JE, Hranilovich JA, Dahl RE, Chen J, Rosso C, Forbes, EE, Dinov, ID, Worthman, CM, Sowell, ER. (2012) Sex Matters during Adolescence: Testosterone-Related Cortical Thickness Maturation Differs between Boys and Girls. PLoS ONE 7(3): e33850. doi:10.1371/journal.pone.0033850.
Joshi, SH, Cabeen, RP, Joshi, AA, Sun, B, Dinov, I, Narr, KL, Toga, AW, Woods, RP. (2012) Diffeomorphic Sulcal Mapping on the Cortex. IEEE Transactions on Medical Imaging, 31(6):1195-212.
Colby, JB; Soderberg, L; Lebel, C; Dinov, ID; Thompson, PM; Sowell, ER. (2012) Along-tract statistics allow for enhanced tractography analysis. NeuroImage, 59(4):3227–3242, DOI: 10.1016/j.neuroimage.2011.11.004.
Lin, T, Le Guyader, C, Dinov, I, Thompson, P, Toga, A, and Vese, L. (2012) Gene Expression Data to Mouse Atlas Registration using a Nonlinear Elasticity Smoother and Landmark Points Constraints, Journal of Scientific Computing, 50(3):586-609, https://doi.org/10.1007/s10915-011-9563-6.
Toga, AW, Dinov, ID, Thompson, PM, Woods, RP, Van Horn, JD, Shattuck, DW, Parker, DS. (2012) The Center for Computational Biology: Resources, Achievements, and Challenges. JAMIA, 19:202-206, DOI:10.1136/amiajnl-2011-000525.
Yang, Y., Nuechterlein, K. H., Phillips, O. R., Gutman, B., Kurth, F., Dinov, I., Thompson, P. M., Asarnow, R. F., Toga, A. W. and Narr, K. L. (2012), Disease and genetic contributions toward local tissue volume disturbances in schizophrenia: A tensor-based morphometry study. Human Brain Mapping, 33(9):2081–2091, doi: 10.1002/hbm.21349.
2011
Dinov, ID, Torri, F, Macciardi, F, Petrosyan, P, Liu, Z, Zamanyan, A, Eggert, P, Pierce, J, Genco, A, Knowles, JA, Clark, AP, Van Horn, JD, Ames, J, Kesselman, C, Toga, AW. (2011) Applications of the Pipeline Environment for Visual Informatics and Genomics Computations, BMC Bioinformatics, 12:304, doi:10.1186/1471-2105-12-304.
Dinov, ID (2011). Neurological Imaging: Statistics Behind the Pictures. Imaging in Medicine, August 2011, 3(4):423-432, doi: 10.2217/iim.11.37.
Christou N, Dinov, ID (2011) Confidence Interval Based Parameter Estimation—A New SOCR Applet and Activity. PLoS ONE 6(5): e19178. doi:10.1371/journal.pone.0019178.
Costafreda, SG, Dinov, ID, Tu, Z, Shi, Y, Liu, C-Y, Kloszewska, I, Mecocci, P, Soininen, H, Tsolaki, M, Vellas, B, Wahlund, L-O, Spenger, C, Toga, AW, Lovestone, S, Simmons. A. (2011) Automated hippocampal shape analysis predicts the onset of dementia in Mild Cognitive Impairment. NeuroImage, May 2011, 56(1):212-219, DOI: 10.1016/j.neuroimage.2011.01.050.
Fonseca, CG, Backhaus, M, Bluemke, DA, Britten, RD, Chung, JD, Cowan, BR, Dinov, ID, Finn, JP, Hunter, PJ, Kadish, AH, Lee, DC, Lima, JA-C, Medrano-Gracia, P, Shivkumar, K, Suinesiaputra, A, Tao, W, and Young, AA. (2011). The Cardiac Atlas Project – An Imaging Database for Computational Modeling and Statistical Atlases of the Heart, Bioinformatics (2011) 27(16):2288–2295, doi:10.1093/bioinformatics/btr360.
Lederman, C, Joshi, A, Dinov, I, Vese, L, Toga, A, Van Horn, JD. (2011) The generation of tetrahedral mesh models for neuroanatomical MRI, NeuroImage, 55(1): 153-164, DOI: 10.1016/j.neuroimage.2010.11.013.	Cover Art
Joshi, AA, Joshi, SH, Thomason, ME, Dinov, I, Toga, AW. (2011) Evaluation of connectivity measures and anatomical features for statistical brain networks. 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, March 30-April 2 2011: 836 - 840, DOI: 10.1109/ISBI.2011.5872534.
Lee, D, Dinov, I, Dong, B, Gutman, B, Yanovsky, I, Toga, AW (2011). CUDA optimization strategies for compute- and memory-bound neuroimaging algorithms, Computer Methods and Programs in Biomedicine, 106(3):175–187, DOI: 10.1016/j.cmpb.2010.10.013.
Thomason, ME, Dennis, EL, Joshi, AA, Joshi, SH, Dinov, ID, Chang, C, Henry, ML, Johnson, RF, Thompson, PM, Toga, AW, Glover, GH, Van Horn, JD, Gotlib, IH. (2011) Resting-state fMRI can reliably map neural networks in children, NeuroImage, 55(1): 165-175, DOI: 10.1016/j.neuroimage.2010.11.080.
Tenenbaum, JD, Whetzel, PL, Anderson, K, Borromeo, CD, Dinov, ID, Gabriel, D, Kirschner, B, Mirel, B Morris, T, Noy, N, Nyulas, C, Rubenson, D, Saxman, PR, Singh, H, Whelan, N, Wright, Z, Athey, BD, Becich, MJ, Ginsburg, GS, Musen, MA, Smith, KA, Tarantal, AF, Rubin, DL, Lyster, P. (2011) The Biomedical Resource Ontology (BRO) to enable resource discovery in clinical and translational research, Journal of Biomedical Informatics, 44(1):137-145, DOI: 10.1016/j.jbi.2010.10.003.
Luders, E, Thompson, PM, Narr, KL, Zamanyan, A, Chou, Y-Y, Gutman, B, Dinov, ID, Toga, AW. (2010) The link between callosal thickness and intelligence in healthy children and adolescents, NeuroImage, 54(3):1823-1830 , DOI: 10.1016/j.neuroimage.2010.09.083.
Ho, AJ, Raji, CA, Becker, JT, Lopez, OL, Kuller, LH, Hua, X, Dinov, ID, Stein, JL, Rosano, C, Toga, AW, Thompson, PM. (2011) The effects of physical activity, education, and body mass index on the aging brain, Human Brain Mapping, 32(9):1371–1382, DOI: 10.1002/hbm.21113.
2010
Dinov ID, Lozev K, Petrosyan P, Liu Z, Eggert P, Pierce, J, Zamanyan, A, Chakrapani, S, Van Horn, JD, Parker, DS, Magsipoc, R, Leung, K, Gutman, B, Woods, RP, Toga, AW. (2010) Neuroimaging Study Designs, Computational Analyses and Data Provenance Using the LONI Pipeline. PLoS ONE 5(9): e13070. doi:10.1371/journal.pone.0013070
Iglesias, J, Dinov, ID, Singh, J, Tong, G, Tu, Z. (2010). Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. T. Jiang, N. Navab, J. Pluim and M. Viergever, Springer Berlin / Heidelberg. 6363: 81-88.
Shi, Y, Sun, B, Lai, R, Dinov, ID, Toga, AW. (2010). Automated Sulci Identification via Intrinsic Modeling of Cortical Anatomy. MICCAI 2010, T. Jiang, N. Navab, J. Pluim and M. Viergever, Springer Berlin / Heidelberg. 6363/2010, 49-56.
Joshi, S, Cabeen, R, Sun, B, Joshi, AA, Gutman, B, Zamanyan, A, Chakrapani, S, Dinov, ID, Woods, RP, Toga, AW. (2010). Cortical Sulcal Atlas Construction Using a Diffeomorphic Mapping Approach. Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. T. Jiang, N. Navab, J. Pluim and M. Viergever, Springer Berlin / Heidelberg. 6361: 357-366.
Vespa, P.M., McArthur, D.L., Xu, Y., Eliseo, M., Etchepare, M., Dinov, I., Alger, J., Glenn, T.P., Hovda, D. (2010) Nonconvulsive seizures after traumatic brain injury are associated with hippocampal atrophy. Neurology, 75: 792-798.
Joshi, A. A., Joshi, S. H., Dinov, I., Shattuck, D. W., Leahy, R. M., and Toga, A. W. 2010. Anatomical structural network analysis of human brain using partial correlations of gray matter volumes. In Proceedings of the 2010 IEEE international Conference on Biomedical Imaging: From Nano To Macro (Rotterdam, Netherlands, April 14 - 17, 2010). IEEE Press, Piscataway, NJ, 844-847.
Lederman, C., Joshi, A., Dinov, I., Darrell Van Horn, J., Vese, L., and Toga, A. 2010. Tetrahedral mesh generation for medical images with multiple regions using active surfaces. In Proceedings of the 2010 IEEE international Conference on Biomedical Imaging: From Nano To Macro (Rotterdam, Netherlands, April 14 - 17, 2010). IEEE Press, Piscataway, NJ, 436-439.
Gao, W, Lai, R, Shi, Y, Dinov, I, W. Toga, A. (2010) A Narrow-Band Approach for Approximating the Laplace-Beltrami Spectrum of 3D Shapes. AIP Conf. Proc. 1281, 1010 (2010), DOI:10.1063/1.3497791.
Bramen , JE, Hranilovich, JA, Dahl, RE, Forbes, EE, Chen, J, Toga, AW, Dinov, ID, Worthman, CM, Sowell, ER. (2010) Puberty Influences Medial Temporal Lobe and Cortical Gray Matter Maturation Differently in Boys Than Girls Matched for Sexual Maturity. Cerebral Cortex, 21 (3): 636-646, DOI 10.1093/cercor/bhq137.
Chung, G, Dinov, ID, Toga, AW, Vese, LA (2010) MRI Tissue Segmentation Using a Variational Multilayer Approach. Computational Biomechanics for Medicine, Miller, K and Nielsen, PMF (eds.), part 1, 5-16, Springer New York, DOI: 10.1007/978-1-4419-5874-7_2
Ho, AJ, Stein, JL, Hua, X, Lee, S, Hibar, DP, Leow, AD, Dinov, ID, Toga, AW, Saykin, AJ, Shen, L, Foroud, T, Pankratz, N, Huentelman, MJ, Craig, DW, Gerber, JD, Allen, AN, Corneveaux, JJ, Stephan, DA, DeCarli, CS, DeChairo, BM, Potkin, SG, Jack, CR, Weiner, MW, Raji, CA, Lopez, OL, Becker, JT, Carmichael, OT, Thompson, PM, and the Alzheimer's Disease Neuroimaging Initiative. (2010) A commonly carried allele of the obesity-related FTO gene is associated with reduced brain volume in the healthy elderly. PNAS, 107(18), 8404-8409 , doi:10.1073/pnas.0910878107.
Shi, Y.; Lai, R.; Morra, J.; Dinov, I.; Thompson, P.; Toga, A. (2010) Robust Surface Reconstruction via Laplace-Beltrami Eigen-Projection and Boundary Deformation, Medical Imaging, IEEE Transactions on, 29(12): 2009-2022, doi: 10.1109/TMI.2010.2057441.
Patel, V., Dinov, ID., Van Horn, JD., Thompson, PM. and Toga, AW. (2010) LONI MiND: Metadata in NIfTI for DWI, NeuroImage, 51(2), June 2010, 665-676, DOI: 10.1016/j.neuroimage.2010.02.069.
Ho, AJ, Raji, CA, Becker, JT, Lopez, OL, Kuller, LH, Hua, X, Lee, S, Hibar, D, Dinov, ID, Stein, JL, Jack Jr., CR, Weiner, MW, Toga, AW, Thompson, PM, Cardiovascular Health Study and ADNI, Obesity is linked with lower brain volume in 700 AD and MCI patients, Neurobiology of Aging, Available online 8 June 2010, ISSN 0197-4580, DOI: 10.1016/j.neurobiolaging.2010.04.006.
Sowell,ER, Leow, AD, Bookheimer, SY, Smith, LM, O'Connor, MJ, Kan, E, Rosso, C, Houston, S, Dinov, ID and Thompson, PM. (2010) Differentiating Prenatal Exposure to Methamphetamine and Alcohol versus Alcohol and Not Methamphetamine using Tensor-Based Brain Morphometry and Discriminant Analysis. Journal of Neuroscience, March 17, 2010, 30(11):3876-3885; doi:10.1523/JNEUROSCI.4967-09.2010
Joshi, AA., Joshi, SH., Leahy, RM., Shattuck, DW., Dinov, I., Toga, AW. (2010) Bayesian approach for network modeling of brain structural features. Proc. SPIE Vol. 7626, 762607 (Mar. 9, 2010), doi: 10.1117/12.844548.
Tang, Y., Hojatkashani, C., Dinov, ID, Sun, B., Fan, L., Lin, X., Qi, H., Hua, X., Liu, S., Toga, AW. (2010) The construction of a Chinese MRI brain atlas: A morphometric comparison study between Chinese and Caucasian cohorts, NeuroImage, Available online 10 February 2010, DOI:10.1016/j.neuroimage.2010.01.111.
Liu, X., Shi, Y., Dinov, I., Mio, W. (2010) A Computational Model of Multidimensional Shape. International Journal of Computer Vision, online e-pub February 12, 2010, pp. 1-15, DOI 10.1007/s11263-010-0323-0.
Tohka, J., Dinov, ID., Shattuck, DW., Toga, AW. (2010) Brain MRI tissue classification based on local Markov random fields. Magnetic Resonance Imaging, 28(4), May 2010, 557-573, 10.1016/j.mri.2009.12.012.
Apostolova LG, Thompson PM, Rogers SA, Dinov ID, Zoumalan C, Steiner CA, Siu E, Green AE, Small GW, Toga AW, Cummings JL, Phelps ME, Silverman DHS. (2010) Surface feature-guided mapping of cerebral metabolic changes in cognitively normal and mildly impaired elderly. Molecular Imaging and Biology, 12(2), 218-224; https://doi.org/doi:10.1007/s11307-009-0247-7.
Ho, AJ, Hua, H, Lee, S, Leow, AD, Yanovsky, I, Gutman, B, Dinov, ID, Leporé, N, Stein, JL, Toga, AW, Jack, CR, Bernstein, MA, Reiman, EM, Harvey, DJ, Kornak, J, Schuff, N, Alexander, GE, Weiner, MW, Thompson, PM. (2010) Comparing 3 T and 1.5 T MRI for tracking Alzheimer's disease progression with tensor-based morphometry. DOI: 10.1002/hbm.20882, Human Brain Mapping, 31(4):499–514, April 2010.
Lin, T., Dinov, I, Toga, A., Vese, L. Nonlinear Elasticity Registration and Sobolev Gradients. LNCS, WBIR 2010, LNCS 6204, pp. 269–280, 2010.
Anderson, A, Dinov, ID, Sherin, JE, Quintana, J, Yuille, AL, Cohen, MS. (2010) Classification of spatially unaligned fMRI scans, NeuroImage, 49(3), 2509-2519, DOI: 10.1016/j.neuroimage.2009.08.036.
Xu Y, McArthur DL, Alger JR, Etchepare M, Hovda DA, Glenn TC, Huang S, Dinov I, Vespa PM. (2010) Early nonischemic oxidative metabolic dysfunction leads to chronic brain atrophy in traumatic brain injury. J Cereb Blood Flow Metab. 2010 Apr;30(4):883-94, DOI:10.1038/jcbfm.2009.263.
2009
Dinov, ID, Christou, N, and Gould, R (2009). Law of Large Numbers: the Theory, Applications and Technology-based Education, Journal of Statistics Education, 17(1):1-15, 2009.
Shi, Y., Tu, Z., Reiss, A.L.; Dutton, R.A.; Lee, A.D.; Galaburda, A.M.; Dinov, I.; Thompson, P.M.; Toga, A.W. (2009) Joint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors. IEEE Transactions on Medical Imaging, 28(3), 361-373.
Joshi, SH, Marquina, A, Osher, SJ, Dinov, I, Van Horn, JD, and Toga, AW. (2009) Edge-Enhanced Image Reconstruction Using (TV) Total Variation and Bregman Refinement. LNCS, Volume 5567/2009, Pages 389-400. DOI 10.1007/978-3-642-02256-2.
Joshi, SH, Marquina, A. Osher, SJ, Dinov, I, Van Horn, JD, Toga, AW (2009) MRI resolution enhancement using total variation regularization. Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium. June-July 2009, pp. 161-164. DOI: 10.1109/ISBI.2009.5193008.
Shi, Y, Dinov, ID and Toga, AW. (2009) Cortical Shape Analysis in the Laplace-Beltrami Feature Space. LNCS, Volume 5762/2009, Pages 208-215. DOI 10.1007/978-3-642-04271-3_26, GoogleBooks link.
Dinov I, Van Horn JD, Lozev KM, Magsipoc R, Petrosyan P, Liu Z, MacKenzie-Graha A, Eggert P, Parker DS and Toga AW (2009) Efficient, Distributed and Interactive Neuroimaging Data Analysis using the LONI Pipeline. Front. Neuroinform. (2009) 3:22. doi:10.3389/neuro.11.022.2009, published online: 20 July 2009.
Lepore, N., Shi, Y., Lepore, F., Fortin, M., Voss, P., Chou, Y-Y., Lord, C., Lassonde, M., Dinov, I.D., Toga, A.W., Thompson, P.M. (2009) Pattern of hippocampal shape and volume differences in blind subjects, NeuroImage, Available online 12 March 2009, DOI: 10.1016/j.neuroimage.2009.01.071.
Lin, T., Le Guyader, C., Lee, E-F., Dinov, ID., Thompson, PM., Toga, AW., Vese, LA. (2009) Gene to mouse atlas registration using a landmark-based nonlinear elasticity smoother. Proc. SPIE, Vol. 7259, 72592Q (2009); DOI:10.1117/12.812491.
Che, Annie, Cui, Jenny, and Dinov, Ivo (2009). SOCR Analyses: Implementation and Demonstration of a New Graphical Statistics Educational Toolkit. JSS, Vol. 30, Issue 3, Apr 2009.
2008
Dinov, ID, Christou, N, and anchez, J (2008). Central Limit Theorem: New SOCR Applet and Demonstration Activity, Journal of Statistics Education, Volume 16, Number 2, pages 1-15, DOI: 10.1080/10691898.2008.11889560.
Dinov, ID. (2008) Expectation Maximization and Mixture Modeling Tutorial. UCLA Statistics Online Computational Resource. eScholarship, University of California, http://escholarship.org/uc/item/1rb70972.
Ivo D. Dinov, Juana Sanchez and Nicolas Christou.(2008) Pedagogical Utilization and Assessment of the Statistic Online Computational Resource in Introductory Probability and Statistics Courses, Journal of Computers & Education, 2008, 50(1), 284-300.
Dong, B., Ye, J., Osher, S, and Dinov, I. (2008) Level Set Based Nonlocal Surface Restoration. Multiscale Model. Simul. 7(2), pp. 589-598.
MacKenzie-Graham, A., Payan, A., Dinov, I., Van Horn, J., & Toga, A. (2008). Neuroimaging Data Provenance Using the LONI Pipeline Workflow Environment, LNCS: Provenance and Annotation of Data and Processes, 208-220, DOI: 10.1007/978-3-540-89965-5.
Shi, Y, Lai, R, Krishna, S., Sicotte, N., Dinov, I., & Toga, A. W. (2008). Anisotropic Laplace-Beltrami eigenmaps: Bridging Reeb graphs and skeletons, Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on (pp. 1-7).
Dinov ID, Rubin D, Lorensen W, Dugan J, Ma J, Murphy S, Kirschner B, Bug W, Sherman M, Floratos A, Kennedy D, Jagadish HV, Schmidt J, Athey B, Califano A, Musen M, Altman R, Kikinis R, Kohane I, Delp S, Parker DS, Toga AW. (2008) iTools: A Framework for Classification, Categorization and Integration of Computational Biology Resources. PLoS ONE 3(5): e2265. doi:10.1371/journal.pone.0002265
Lin, T.; Lee, E.-F.; Dinov, I.; Le Guyader, C.; Thompson, P.; Toga, A.W.; Vese, L.A. A landmark-based nonlinear elasticity model for mouse atlas registration. ISBI 2008. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 14-17 May 2008, Page(s):788-791.
Tu, Z., Narr, K. L., Dinov, I., Dollar, P., Thompson, P. M., & Toga, A. W. (2008). Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models. IEEE Transactions on Medical Imaging. Volume 27, Issue 4, April 2008 Page(s): 495-508, Digital Object Identifier 10.1109/TMI.2007.908121.
Leung, KT., Parker, DS., Cunha, A., Hojatkashani, C., Dinov, ID., Toga, AW. (2008) IRMA: An Image Registration Meta-algorithm: Evaluating Alternative Algorithms with Multiple Metrics, LNCS, Volume 5069/2008, p. 612-617.
Shi, Y.; Thompson, P.M.; Dinov, I.; Toga, A.W. (2008) Hamilton-Jacobi Skeleton on Cortical Surfaces. IEEE Transactions on Medical Imaging. Volume 27, Issue 5, May 2008 Page(s):664 - 673. Digital Object Identifier 10.1109/TMI.2007.913279
Yuan Xu, Daniel J. Valentino, Ann I. Scher, Ivo Dinov, Lon R. White, Paul M. Thompson, Lenore J. Launer and Arthur W. Toga (2008). Age effects on hippocampal structural changes in old men: The HAAS, NeuroImage, Volume 40, Issue 3, 15 April 2008, Pages 1003-1015.
2007
Oved Cohen, David J. De La Zerda, Jonah Odim, Ivo Dinov, Hillel Laks. (2007). Aortic Valve-Sparing Repair with Autologous Pericardial Leaflet Extension Has Low Long-Term Mortality and Reoperation Rates in Children and Adults. The Heart Surgery Forum, Volume 10, Number 4 / August 2007, E288 - E291.
Allan J. MacKenzie-Graham, Erh-Fang Lee, Ivo D. Dinov, Heng Yuan, Russell E. Jacobs, Arthur W. Toga (2007). Multimodal, Multidimensional Models of Mouse Brain. Epilepsia, 48 (s4), 75-81. doi:10.1111/j.1528-1167.2007.01244.x
Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo Dinov, Paul M. Thompson and Arthur W. Toga. (2007). Joint Sulci Detection Using Graphical Models and Boosted Priors. Lecture Notes in Computer Science, Volume 4584/2007, 98-109, July 2007. DOI: 10.1007/978-3-540-73273-0.
Apostolova LG, Akopyan GG, Partiali N, Steiner CA, Dutton RA, Hayashi KM, Dinov ID, Toga AW, Cummings JL, Thompson PM. (2007). Structural Correlates of Apathy in Alzheimer's Disease. Dement Geriatr Cogn Disord 2007;24:91-97 (DOI: 10.1159/000103914)
Jussi Tohka; Evgeny Krestyannikov; Ivo D. Dinov; Allan MacKenzie Graham; David W. Shattuck; Ulla Ruotsalainen; Arthur W. Toga (2007). Genetic Algorithms for Finite Mixture Model Based Voxel Classification in Neuroimaging, IEEE Transactions on Medical Imaging, Vol.26, Iss.5, May 2007, 696-711.
Yonggang Shi, Paul M. Thompson, Greig I. de Zubicaray, Stephen E. Rose, Zhuowen Tu, Ivo Dinov and Arthur W. Toga, (2007). Direct mapping of hippocampal surfaces with intrinsic shape context, NeuroImage, 37(3), September 2007, Pages 792-807.
Z. Tu, S. Zheng, A. Yuille, A. Reiss, R. Dutton, A.Lee, A.Galaburda, I. Dinov, P. Thompson, A. Toga (2007). Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach. IEEE Tran. on Medical Imaging, April 2007, 26(4), 541-552.
Yonggang Shi, Paul M. Thompson, Ivo Dinov, Stanley Osher and Arthur W. Toga, (2007). Direct cortical mapping via solving partial differential equations on implicit surfaces. Medical Image Analysis, Jun 2007; 11(3):207-23, https://doi.org/10.1016/j.media.2007.02.001.
Audrey, H. Zhuang, Daniel J. Valentino, Val Stambolstian, Ivo Dinov, Arthur W. Toga. (2007). An integrated segmentation and visualization tool for MR brain image processing, Proc. SPIE 6509 , 65092N, doi: 10.1117/12.710457 (2007)
David De La Zerda, Oved Cohen, Michael C. Fishbein, Jonah Odim, Carlos A Calderon, Diana Hekmat, Ivo Dinov and Hillel Laks. (2007). Aortic valve-sparing repair with autologous pericardial leaflet extension has a greater early re-operation rate in congenital versus acquired valve disease. European Journal of Cardio-Thoracic Surgery, February 2007; 31: 256-260 . PMID: 17196393, doi:10.1016/j.ejcts.2006.11.027.
2006
Apostolova LG, Dinov ID, Dutton RA, Hayashi KM, Toga AW, Cummings JL, Thompson PM. 3D comparison of hippocampal atrophy in amnestic mild cognitive impairment and Alzheimer's disease. Brain. 2006 Nov; 129(Pt 11):2867-73. Abstract
Dinov, ID. Grant Review: American Idol or Big Brother? Cell, Vol 127, No 2, 663-664, 17 November 2006.
Dinov, ID. SOCR: Statistics Online Computational Resource, Journal of Statistical Software, Vol. 16, No. 1, 1-16, October 2006.
Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Paul M. Thompson, Ivo Dinov and Arthur W. Toga. (2006) A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci. Lecture Notes in Computer Sceince. Proceeding of the Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006, Vol. 4190/2006 (Part I), 695-703, DOI 10.1007/11866565_85.
Dinov, ID. SOCR: Statistics Online Computaitonal Resource: socr.ucla.edu, Statistical Computing & Graphics. Vol. 17, No. 1, 11-15, 2006.
Liana G. Apostolova, Rebecca A. Dutton, Ivo D. Dinov, Kiralee M. Hayashi, Arthur W. Toga, Jeffrey L. Cummings, Paul M. Thompson. Conversion of Mild Cognitive Impairment to Alzheimer Disease Predicted by Hippocampal Atrophy Maps, Archives of Neurology, vol. 63, no. 5, 693-699, 2006. Abstract	Cover
Dinov ID, Valentino D, Shin BC, Konstantinidis F, Hu G, MacKenzie-Graham A, Lee EF, Shattuck DW, Ma J, Schwartz C and Toga AW. LONI Visualization Environment, Journal of Digital Imaging. Vol. 19, No. 2, 148-158, June 2006 Abstract
2005
J. Tohka, E. Krestyannikov, I. Dinov, D. Shattuck, U. Ruotsalainen, A.W. Toga. Genetic algorithms for finite mixture model based tissue classification in brain MRI. IFMBE Proceedings, Vol. 11. Prague: IFMBE, 2005, pp. 4077 - 4082. ISSN 1727-1983. Editors: Jiri Hozman, Peter Kneppo (Proceedings of the 3rd European Medical & Biological Engineering Conference - EMBEC 2005. Prague, Czech Republic, 20-25.11.2005). Abstract.
Dinov ID, Boscardin, JW, Mega MS, Sowell EL, Toga AW. A Wavelet-Based Statistical Analysis of fMRI data: I. Motivation and Data Distribution Modeling, NeuroInformatics, 3(4), 319-343, 2005 Abstract
Lee EF, Jacobs RE, Dinov I, Leow A, Toga AW. Standard atlas space for C57BL/6J neonatal mouse brain. Anatomy and Embryology. 2005 Nov; 210(4), 245-63, 2005. Abstract
Mega MS, Dinov, ID, Thompson, P, Manese, M, Lindshield, C, Moussai, J, Tran, N, Olsen, K, Felix, J, Zoumalan, C, Woods, RP, Toga, AW, Mazziotta, JC. Automated Brain Tissue Assessment in the Elderly and Demented Population: Construction and Validation of a Sub-Volume Probabilistic Brain Atlas, NeuroImage, 26(4), 1009-1018, 2005 Abstract	Cover
Mega MS, Dinov, ID, Porter, V, Chow, G, Reback, E, Davoodi, P, O'Connor, S, Carter, MF, Felix, J, Amezcua, H, Cummings, JL, Phelps, ME, Toga, AW. Metabolic Patterns Associated With the Clinical Response to Galantamine Therapy: A Fludeoxyglucose F 18 Positron Emission Tomographic Study, Archives of Neurology, vol. 62, pp. 721-728, 2005. Abstract	Cover
2004
Allan MacKenzie-Graham; Erh-Fang Lee, Ivo D. Dinov, Mihail Bota, David W.Shattuck, Seth Ruffins, Heng Yuan, Fotios Konstantinidis, Alain Pitiot, Yi Ding, Guogang Hu, Russell E.Jacobs and Arthur W.Toga A multimodal,multidimensional atlas of the C57BL/6J mouse brain, Journal of Anatomy, 204(2):93-102, Feb. 2004. Abstract	Cover
Jacopo Annese, Alain Pitiot, Ivo D. Dinov and Arthur W. Toga A myelo-architectonic method for the structural classification of cortical area, NeuroImage, Vol. 21, No. 1, pp. 15-26, Jan/Feb 2004. Abstract
2003
Allan MacKenzie-Graham; Eagle S. Jones; David W. Shattuck; Ivo D. Dinov; Mihail Bota; Arthur W. Toga The Informatics of a C57BL/6J Mouse Brain Atlas, NeuroInformatics, 1(4), pp. 397-410, 2003. Abstract
2002
Dinov ID, Mega MS, Thompson PM, Woods RP, Sumners DWL, Sowell EL, Toga AW. Quantitative Comparison and Analysis of Image Registration Using Frequency-Adaptive Wavelet Shrinkage, 6(1), 73-85, 2002 IEEE Trans. Information Technology in Biomedicine. PubMed ref. Abstract
Mega MS, Cummings JL, Masterman MD, Dinov ID, Felix J, O'Connor SM, Phelps ME, Small GW, Toga AW. Cognitive and metabolic responses to metrifonate therapy in Alzheimer's disease. J. Neuropsychiatry, Neuropsychology, and Behavioral Neurology, 14(1), 63-68, 2001. PubMed ref. Abstract
Dinov, ID and Sumners, DWL. Applications of Frequency Dependent Wavelet Shrinkage to Analyzing Quality of Image Registration, SIAM J. Appl. Math. (SIAP), 62(2), pp. 367-384. 2001. Abstract
Hirono, N; Mega, MS; Dinov, ID; Mishkin, F; Cummings, JL. Left frontotemporal hypoperfusion is associated with aggression in patients with dementia. Archives of Neurology, 2000 Jun, 57(6):861-866. PubMed ref. Abstract
Dinov, I.D., Mega, M.S., Thompson, P.M., Lee, L., Woods, R.P., Holmes, C., Sumners, D.W., Toga, A.W., Analyzing Functional Brain Images in a Probabilistic Atlas: A Validation of Sub-Volume Thresholding, JCAT, 24(1):128-138, 2000. PubMed ref. Abstract
Mega MS, Dinov ID, Lee L, O'Connor SM, Masterman DM, Wilen B, Mishkin F, Toga AW, Cummings JL. "Orbital and Dorsolateral Frontal Perfusion Defect Associated with Behavioral Response to Cholinesterase Inhibitor Therapy in Alzheimer's Disease.", J. Neuropsychiatry and Clinical Neurosciences, 12:209-218, 2000. PubMed ref. Abstract
Mega MS, Lee L, Dinov ID, Mishkin F, Toga AW, Cummings JL. "Cerebral correlates of psychotic symptoms in Alzheimer's Disease", J. Neurology, Neurosurgery and Psychiatry, (69), 167-171, 2000. PubMed ref. Abstract
Hirono, N; Mega, MS; Dinov, ID; Mishkin, F; Cummings, JL. "Neuroimaging Correlates of Aggressive Behavior in Dementia Patients". Research and Practice in Alzheimer's Disease, 2000, 5:27-32. Abstract
Dinov, ID. (1998) FSU Mathematics Doctoral Dissertation: Mathematical and Statistical Techniques for Modeling and Analysis of Medical Data.
Dinov, ID. (1993) MTU Mathematics Master's Degree Research Project: Bochner Integrals and Vector Measures.
Other Publications

SOCR Resource Visitor number Web Analytics