Jeongjin Lee
Computer Science · The Ohio State University
Publications
207
Citations
3,235
Est. group size
—
Recurring co-author estimate
Active years
41
Publishing since 1986
This publication record appears to combine work from multiple distinct researchers sharing the same name, spanning medical image analysis (liver segmentation, CT-based diagnosis, radiomics for cancer prognosis), statistical methodology (survival analysis, Q-learning, extreme value statistics), and unrelated topics like semiconductor metrology and educational AI. The medical imaging strand focuses on computer-assisted analysis of CT scans for liver disease, pancreatic cancer, and vertebral fractures, using segmentation and registration techniques to support diagnosis and treatment planning. Prospective students should verify with the department or the researcher directly which specific line of work this profile refers to, given the apparent heterogeneity of topics.
Publication counts were relatively steady to growing from 2017 through 2022 (averaging around 12-17 per year), then declined notably from 2023 onward to roughly 2-6 per year.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation
arXiv (Cornell University) · 2026
- Are Video Models Zero-Shot Learners and Reasoners in Education? EduVideoBench, A Knowledge-Skills-Attitude Benchmark for Educational Video Generation
arXiv (Cornell University) · 2026
- Counterfactual Q-learning via the linear Buckley–James method for longitudinal survival data
Journal of the Royal Statistical Society Series A (Statistics in Society) · 2025
- A calibration method for projecting future extremes via a linear mapping of parameters
2025
- Censored broken adaptive ridge regression in high-dimension
Computational Statistics · 2024
- Personalized Treatment Policies with the Novel Buckley-James Q-Learning Algorithm
Axioms · 2024
- A calibration method for projecting future extremes via a linear mapping of parameters
Environmental and Ecological Statistics · 2024
- Multi-wavelength continuous-bias DBO metrology for improved ADI process-robustness
2024
- A Case of Dasatinib Induced Nephrotic Syndrome in a Chronic Myeloid Leukemia Patient with Steroid Dependent Nephrotic Syndrome
Imsang soa hyeoraek jong-yang/Imsang soa hyeol'aeg jong'yang/Clinical pediatric hematology-oncology · 2024
- Prompt Aloud!: Incorporating image-generative AI into STEAM class with learning analytics using prompt data
Education and Information Technologies · 2023
- Simulation Method for the Physical Deformation of a Three-Dimensional Soft Body in Augmented Reality-Based External Ventricular Drainage
Healthcare Informatics Research · 2023
- ICP Algorithm Based Liver Rigid Registration Method Using Liver and Liver Vessel Surface Mesh
2023
- Segmentation and Rigid Registration of Liver Dynamic Computed Tomography Images for Diagnostic Assessment of Fatty Liver Disease
Journal of Computing Science and Engineering · 2023
- X-Vine Models for Multivariate Extremes
Lancaster EPrints (Lancaster University) · 2023
- Introducing free software for liver volumetry
Korean Journal of Transplantation · 2023
- The Journal of Korean Institute of Next Generation Computing×6
- arXiv (Cornell University)×5
- Korean Journal of Radiology×4
- Journal of Medical Imaging and Health Informatics×4
- Scientific Reports×3
- Juhyung Ha
Computer Science · Indiana University
- Raj Acharya
Computer Science · Indiana University
- Chris Taylor
Computer Science · The Ohio State University
- Md. Motiur Rahman
Computer Science · Purdue University West Lafayette
- Chandrashekhar A. Kubal
Medicine · Indiana University
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 19, 2026.
Claim or correct this profile