Ivo D Dinov (Ivo Dinov)

Scopus Author ID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 21

Top Venues

CNS neuroscience & therapeutics

Scientific reports

Bioengineering (Basel, Switzerland)

Journal of statistical computation and simulation

University of Michigan

Florida State University (MSC)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Michigan

United States

Professor

University of Southern California

United States

Institute for Neuroimaging and Informatics :: Laboratory of Neuro Imaging

University of Michigan

United States

Associate Professor and SOCR Director :: Computational Medicine & Bioinformatics and Health Behavior & Biolgocal Sciences

University of California Los Angeles

United States

Associate Professor :: Statistics and Neurology

University of California Los Angeles

United States

Assistant Professor :: Statistics and Neurology

Education History

Florida State University

United States

MSC :: Statistics

Florida State University

United States

PHD :: Mathematics

Michigan Technological University

United States

MSC :: Mathematics

Publications

Hanif Abdul Rahman, Madeline Kwicklis, Mohammad Ashraf Ottom, Areekul Amornsriwatanakul, Khadizah H Abdul-Mumin, Michael Rosenberg, Ivo D Dinov
Machine Learning-Based Prediction of Mental Well-Being Using Health Behavior Data from University Students. Bioengineering (Basel, Switzerland) 10 (5) (2023)
Mohammad Ashraf Ottom, Hanif Abdul Rahman, Iyad M Alazzam, Ivo D Dinov
Multimodal Stereotactic Brain Tumor Segmentation Using 3D-Znet. Bioengineering (Basel, Switzerland) 10 (5) (2023)
Alexander S Weigard, Katherine L McCurry, Zvi Shapiro, Meghan E Martz, Mike Angstadt, Mary M Heitzeg, Ivo D Dinov, Chandra Sripada
Generalizable prediction of childhood ADHD symptoms from neurocognitive testing and youth characteristics. Translational psychiatry 13 (1) (2023)
Nina Zhou, Lu Wang, Simeone Marino, Yi Zhao, Ivo D Dinov
DataSifter II: Partially synthetic data sharing of sensitive information containing time-varying correlated observations. Journal of algorithms & computational technology 16 (2022)
Seok Woo Moon, Lu Zhao, William Matloff, Sam Hobel, Ryan Berger, Daehong Kwon, Jaebum Kim, Arthur W Toga, Ivo D Dinov, null null
Brain structure and allelic associations in Alzheimer's disease. CNS neuroscience & therapeutics 29 (4) (2022)
Mohammad Ashraf Ottom, Hanif Abdul Rahman, Ivo D Dinov
Znet: Deep Learning Approach for 2D MRI Brain Tumor Segmentation. IEEE journal of translational engineering in health and medicine 10 (2022)
Nina Zhou, Qiucheng Wu, Zewen Wu, Simeone Marino, Ivo D Dinov
DataSifterText: Partially Synthetic Text Generation for Sensitive Clinical Notes. Journal of medical systems 46 (12) (2022)
Seok Woo Moon, Lu Zhao, William Matloff, Sam Hobel, Ryan Berger, Daehong Kwon, Jaebum Kim, Arthur W Toga, Ivo D Dinov, null null
Brain structure and allelic associations in Alzheimer's disease. CNS neuroscience & therapeutics 29 (4) (2022)
Seok Woo Moon, Lu Zhao, William Matloff, Sam Hobel, Ryan Berger, Daehong Kwon, Jaebum Kim, Arthur W Toga, Ivo D Dinov, null null
Brain structure and allelic associations in Alzheimer's disease. CNS neuroscience & therapeutics (2022)
Seok Woo Moon, Lu Zhao, William Matloff, Sam Hobel, Ryan Berger, Daehong Kwon, Jaebum Kim, Arthur W Toga, Ivo D Dinov, null null
Brain structure and allelic associations in Alzheimer's disease. CNS neuroscience & therapeutics 29 (4) (2022)
Morteza Noshad, Jerome Choi, Yuming Sun, Alfred Hero, Ivo D Dinov
A data value metric for quantifying information content and utility. Journal of big data 8 (1) (2021)
Simeone Marino, Yi Zhao, Nina Zhou, Yiwang Zhou, Arthur W Toga, Lu Zhao, Yingsi Jian, Yichen Yang, Yehu Chen, Qiucheng Wu, Jessica Wild, Brandon Cummings, Ivo D Dinov
Compressive Big Data Analytics: An ensemble meta-algorithm for high-dimensional multisource datasets. PloS one 15 (8) (2020)
Ming Tang, Chao Gao, Stephen A Goutman, Alexandr Kalinin, Bhramar Mukherjee, Yuanfang Guan, Ivo D Dinov
Model-Based and Model-Free Techniques for Amyotrophic Lateral Sclerosis Diagnostic Prediction and Patient Clustering. Neuroinformatics 17 (3) (2020)
Maria C Katapodi, Chang Ming, Laurel L Northouse, Sonia A Duffy, Debra Duquette, Kari E Mendelsohn-Victor, Kara J Milliron, Sofia D Merajver, Ivo D Dinov, Nancy K Janz
Genetic Testing and Surveillance of Young Breast Cancer Survivors and Blood Relatives: A Cluster Randomized Trial. Cancers 12 (9) (2020)
Paolo Avesani, Brent McPherson, Soichi Hayashi, Cesar F Caiafa, Robert Henschel, Eleftherios Garyfallidis, Lindsey Kitchell, Daniel Bullock, Andrew Patterson, Emanuele Olivetti, Olaf Sporns, Andrew J Saykin, Lei Wang, Ivo D Dinov, David Hancock, Bradley Caron, Yiming Qian, Franco Pestilli
The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services. Scientific data 6 (1) (2019)
Ivo D Dinov
Flipping the grant application review process. Studies in higher education 45 (8) (2019)
Yiwang Zhou, Lu Zhao, Nina Zhou, Yi Zhao, Simeone Marino, Tuo Wang, Hanbo Sun, Arthur W Toga, Ivo D Dinov
Predictive Big Data Analytics using the UK Biobank Data. Scientific reports 9 (1) (2019)
Simeone Marino, Nina Zhou, Yi Zhao, Lu Wang, Qiucheng Wu, Ivo D Dinov
HDDA: DataSifter: statistical obfuscation of electronic health records and other sensitive datasets. Journal of statistical computation and simulation 89 (2) (2018)
Alexandr A Kalinin, Ari Allyn-Feuer, Alex Ade, Gordon-Victor Fon, Walter Meixner, David Dilworth, Syed S Husain, Jeffrey R de Wet, Gerald A Higgins, Gen Zheng, Amy Creekmore, John W Wiley, James E Verdone, Robert W Veltri, Kenneth J Pienta, Donald S Coffey, Brian D Athey, Ivo D Dinov
3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification. Scientific reports 8 (1) (2018)
Alexandr A Kalinin, Ari Allyn-Feuer, Alex Ade, Gordon-Victor Fon, Walter Meixner, David Dilworth, Syed S Husain, Jeffrey R de Wet, Gerald A Higgins, Gen Zheng, Amy Creekmore, John W Wiley, James E Verdone, Robert W Veltri, Kenneth J Pienta, Donald S Coffey, Brian D Athey, Ivo D Dinov
Publisher Correction: 3D Shape Modeling for Cell Nuclear Morphological Analysis and Classification. Scientific reports 8 (1) (2018)
Zhengnan Huang, Hongjiu Zhang, Jonathan Boss, Stephen A Goutman, Bhramar Mukherjee, Ivo D Dinov, Yuanfang Guan, null null
Complete hazard ranking to analyze right-censored data: An ALS survival study. PLoS computational biology 13 (12) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ivo D Dinov (Ivo Dinov)