University of Michigan–Ann Arbor
Ivo Dinov
426 N. Ingalls
Ann Arbor, MI 48109
https://www.socr.umich.edu/
RRID: RRID:SCR_022917
3D & 4D Image Processing Stations
Bioimage Informatics
Computer-assisted Neuron Tracing And Analysis
Data Analysis
Data Analysis And Interpretation
Data Processing
Data Processing And Interpretation
Data Visualization
Functional Brain Imaging
Functional Magnetic Resonance Imaging (fMRI)
Image Data Management
Image Processing And Analysis
Magnetic Resonance Imaging (MRI)
Optical Imaging
1.) Yamada C, Edelson MF, Lee AC, Saifee NH, Dinov ID (2022 Oct 4). Transfusion-associated hyperkalemia in pediatric population: Analyses for risk factors and recommendations. Transfusion, (), . doi: 10.1111/trf.17135. ID: 36194042.
2.) Wattanapisit A, Abdul Rahman H, Car J, Abdul-Mumin KH, de la Cruz MHTO, Chia M, Rosenberg M, Ho MR, Chaiyasong S, Mahmudiono T, Rodjarkpai Y, Dinov ID, Ottom M, Amornsriwatanakul A (2022 Oct 1). 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(1), 1840. doi: 10.1186/s12889-022-14233-2. ID: 36183060.
3.) Sun W, Niraula D, El Naqa I, Ten Haken RK, Dinov ID, Cuneo K, Jin JJ (2022 Jun). Precision radiotherapy via information integration of expert human knowledge and AI recommendation to optimize clinical decision making. Computer methods and programs in biomedicine, 221(), 106927. . ID: 35675722.
4.) Wang Y, Shen Y, Deng D, Dinov ID (2022 Jun). Determinism, well-posedness, and applications of the ultrahyperbolic wave equation in spacekime. Partial differential equations in applied mathematics : a spin-off of Applied Mathematics Letters, 5(), . pii: 100280. doi: 10.1016/j.padiff.2022.100280. ID: 36159725.
5.) Zhou N, Brook RD, Dinov ID, Wang L (2022 Apr). Optimal dynamic treatment regime estimation using information extraction from unstructured clinical text. Biometrical journal. Biometrische Zeitschrift, 64(4), 805-817. doi: 10.1002/bimj.202100077. ID: 35112726.
6.) Zhang R, Zhang Y, Liu Y, Guo Y, Shen Y, Deng D, Qiu YJ, Dinov ID (2022 Apr). Kimesurface Representation and Tensor Linear Modeling of Longitudinal Data. Neural computing & applications, 34(8), 6377-6396. doi: 10.1007/s00521-021-06789-8. ID: 35936508.
7.) Rahman HA, Kwicklis M, Ottom M, Amornsriwatanakul A, Abdul-Mumin KH, Rosenberg M, Dinov ID (2022 Feb 4). Prediction Modeling of Mental Well-Being Using Health Behavior Data of College Students. Research square, (), . pii: rs.3.rs-1281305. doi: 10.21203/rs.3.rs-1281305/v1. ID: 35132403.
8.) Ottom MA, Rahman HA, Dinov ID (2022). Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation. IEEE journal of translational engineering in health and medicine, 10(), 1800508. doi: 10.1109/JTEHM.2022.3176737. ID: 35774412.
9.) Anderson C, Bekele Z, Qiu Y, Tschannen D, Dinov ID (2021 Aug 30). Modeling and prediction of pressure injury in hospitalized patients using artificial intelligence. BMC medical informatics and decision making, 21(1), 253. doi: 10.1186/s12911-021-01608-5. ID: 34461876.
10.) Kalinin AA, Hou X, Ade AS, Fon GV, Meixner W, Higgins GA, Sexton JZ, Wan X, Dinov ID, O (2021 Aug 19). Valproic acid-induced changes of 4D nuclear morphology in astrocyte cells. Molecular biology of the cell, 32(18), 1624-1633. doi: 10.1091/mbc.E20-08-0502. ID: 33909457.
11.) Noshad M, Choi J, Sun Y, Hero A 3rd, Dinov ID (2021). A data value metric for quantifying information content and utility. Journal of big data, 8(1), 82. doi: 10.1186/s40537-021-00446-6. ID: 34777945.
12.) Katapodi MC, Ming C, Northouse LL, Duffy SA, Duquette D, Mendelsohn-Victor KE, Milliron KJ, Merajver SD, Dinov ID, Janz NK (2020 Sep 5). Genetic Testing and Surveillance of Young Breast Cancer Survivors and Blood Relatives: A Cluster Randomized Trial. Cancers, 12(9), . . ID: 32899538.
13.) Ming C, Viassolo V, Probst-Hensch N, Dinov ID, Chappuis PO, Katapodi MC (2020 Sep). Machine learning-based lifetime breast cancer risk reclassification compared with the BOADICEA model: impact on screening recommendations. British journal of cancer, 123(5), 860-867. doi: 10.1038/s41416-020-0937-0. ID: 32565540.
14.) Ming C, Viassolo V, Probst-Hensch N, Chappuis PO, Dinov ID, Katapodi MC (2020 Apr 10). Letter to the editor: Response to Giardiello D, Antoniou AC, Mariani L, Easton DF, Steyerberg EW. Breast cancer research : BCR, 22(1), 35. doi: 10.1186/s13058-020-01274-x. ID: 32276659.
15.) Dinov ID (2020). Modernizing the Methods and Analytics Curricula for Health Science Doctoral Programs. Frontiers in public health, 8(), 22. doi: 10.3389/fpubh.2020.00022. ID: 32117857.
16.) 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. ID: 32857775.
17.) Dinov ID (2020). Flipping the grant application review process. Studies in higher education, 45(8), 1737-1745. doi: 10.1080/03075079.2019.1628201. ID: 36196072.
18.) Ming C, Viassolo V, Probst-Hensch N, Chappuis PO, Dinov ID, Katapodi MC (2019 Jun 20). Machine learning techniques for personalized breast cancer risk prediction: comparison with the BCRAT and BOADICEA models. Breast cancer research : BCR, 21(1), 75. doi: 10.1186/s13058-019-1158-4. ID: 31221197.
19.) 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, Pupjain S (2019 Jun 14). 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(1), 62. doi: 10.1186/s12961-019-0464-8. ID: 31200726.
20.) Avesani P, McPherson B, Hayashi S, Caiafa CF, Henschel R, Garyfallidis E, Kitchell L, Bullock D, Patterson A, Olivetti E, Sporns O, Saykin AJ, Wang L, Dinov I, Hancock D, Caron B, Qian Y, Pestilli F (2019 May 23). 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. ID: 31123325.
The Statistics Online Computational Resource (SOCR) designs, validates and freely disseminates knowledge. Specifically, SOCR develops AI/ML tools, mathematical models, and end-to-end data analytic protocols for biomedical and health studies. It also provides portable online aids for probability, statistics and health science education, promotes technology-enhanced instruction, supports efficient statistical computing, and advances predictive big data analytics. The SOCR platform includes a repository of interactive apps, computational tools, visualization approaches, instructional resources, learning materials, and curricular components. SOCR faculty, staff, and students support data and information science collaborations and analytic partnerships involving biomedical, healthcare, and biostatistical investigations.
