Morteza Noshad
Computer Science · University of Michigan
Publications
35
Citations
310
Est. group size
—
Recurring co-author estimate
Active years
14
Publishing since 2012
Typically publishes in teams of ~8 · 30% small-team papers (≤3 authors) · across 10 venues
- NPI-WGNN: A Weighted Graph Neural Network Leveraging Centrality Measures and High-Order Common Neighbor Similarity for Accurate ncRNA–Protein Interaction Prediction
Analytics · 2024
- Enhancing Language Learning through Technology: Introducing a New English-Azerbaijani (Arabic Script) Parallel Corpus
2024
- Enhancing Language Learning through Technology: Introducing a New English-Azerbaijani (Arabic Script) Parallel Corpus
arXiv (Cornell University) · 2024
- Machine learning prediction of mild cognitive impairment and its progression to Alzheimer's disease
Health Science Reports · 2023
- Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning
Journal of Biomedical Informatics · 2023
- KartalOl: a new deep neural network framework based on transfer learning for iris segmentation and localization task—new dataset for iris segmentation
Iran Journal of Computer Science · 2023
- Mild Cognitive Impairment: Data-Driven Prediction, Risk Factors, and Workup.
PubMed · 2023
- Personalized antibiograms for machine learning driven antibiotic selection
Communications Medicine · 2022
- Team is brain: leveraging EHR audit log data for new insights into acute care processes
Journal of the American Medical Informatics Association · 2022
- Signal from the noise: A mixed graphical and quantitative process mining approach to evaluate care pathways applied to emergency stroke care
Journal of Biomedical Informatics · 2022
- Clinical Recommender Algorithms to Simulate Digital Specialty Consultations.
PubMed · 2022
- Kartalol: A New Deep Neural Network Framework Based on Transfer Learning for Iris Segmentation and Localization Task: New Dataset for Iris Segmentation
SSRN Electronic Journal · 2022
- Graph-Based Clinical Recommender: Predicting Specialists Procedure Orders using Graph Representation Learning
medRxiv · 2022
- Machine Learning Predictability of Clinical Next Generation Sequencing for Hematologic Malignancies to Guide High-Value Precision Medicine.
PubMed · 2021
- Clinical Recommender Algorithms to Simulate Digital Specialty Consultations
2021
- arXiv (Cornell University)×6
- PubMed×4
- Journal of Biomedical Informatics×2
- medRxiv×2
- Communications Medicine×1
- Md. Mohaimenul Islam
Computer Science · The Ohio State University
- Parvati Naliyatthaliyazchayil
Computer Science · Indiana University
- Natalie Fitzpatrick
Computer Science · University of Michigan
- Erkin Ötleş
Computer Science · University of Michigan
- Emily Wittrup
Computer Science · University of Michigan
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 25, 2026.
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