Type
Education
Country
United States
US
Documents
49
through any edge
Papers
49
authorship edges
Awards made
—
Named as funder
—
Identifiers
Papers
Documents in the 44B Library with Capital University on the authorship, newest first.
2026-07-24 · 3 authors here
When GraphRAG Retrieves but Fails to Expose: Candidate-to-Context Exposure Optimization for Multi-Hop QA
2026-07-24 · 3 authors here
When GraphRAG Retrieves but Fails to Expose: Candidate-to-Context Exposure Optimization for Multi-Hop QA
2026-06-24 · 3 authors here
Hyperelastic Regularization for Near-Diffeomorphic Transformer-Based Brain MRI Registration
2026-03-18 · 6 authors here
Balancing Efficiency and Accuracy in Multi-Pair Color Matching Experiment for Cone Fundamental Reconstruction
2026-03-14 · 8 authors here
ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models
2026-02-13 · 5 authors here
AI-assisted case builder: Making PBL more scalable and adaptable
2026-02-12 · 12 authors here
Additional file 1 of Protocol for development of an AI-driven individualized frailty prediction and intervention framework for elderly patients with chronic kidney disease: causal feature learning and knowledge-distillation-based modeling study
2026-02-12 · 12 authors here
Additional file 1 of Protocol for development of an AI-driven individualized frailty prediction and intervention framework for elderly patients with chronic kidney disease: causal feature learning and knowledge-distillation-based modeling study
2026-02-03 · 5 authors here
Brain-SAM: A SAM-based Model Tailored for Brain MRI Lesion Segmentation
2026-01-01 · 6 authors here
Additional file 2 of Understanding psychiatrist readiness for AI: a study of access, self-efficacy, trust, and design expectations
2026-01-01 · 6 authors here
Additional file 1 of Understanding psychiatrist readiness for AI: a study of access, self-efficacy, trust, and design expectations
2026-01-01 · 6 authors here
Additional file 2 of Understanding psychiatrist readiness for AI: a study of access, self-efficacy, trust, and design expectations
2026-01-01 · 6 authors here
Additional file 1 of Understanding psychiatrist readiness for AI: a study of access, self-efficacy, trust, and design expectations
2026-01-01 · 9 authors here
Additional file 1 of Performance of large language model in cross-specialty medical scenarios
2026-01-01 · 9 authors here
Additional file 1 of Performance of large language model in cross-specialty medical scenarios
2026-01-01 · 6 authors here
Localized AI for stroke care in LMICs: a framework to overcome structural and diagnostic barriers
2026-01-01 · 1 authors here
From “assistant” to “autonomous”: legal liability and ethical traceability frameworks for generative AI in clinical misdiagnosis scenarios, with a special focus on paediatrics
2025-05-31 · 3 authors here
An Empirical Study on Anomaly Detection and Optimization in ICH Information Management Systems
2025-04-22 · 5 authors here
<i>gc</i> DLSeg: integrating graph-cut into deep learning for binary semantic segmentation
2025-04-11 · 4 authors here
IEEE Entrepreneurship Hard Tech Venture Summit at IMS2025
2025-04-09 · 4 authors here
AI-Assisted Grading – A Study on Efficiency and Fairness
2025-02-26 · 5 authors here
DualCIR: Enhancing Training-Free Composed Image Retrieval via Dual-Directional Descriptions
2025-01-01 · 1 authors here
Rethinking AI Governance through Global Value Chains&nbsp;and the Political Economy of Computational Power
2024-12-04 · 3 authors here
Writing skills can be improved using AI tools: An Analysis
2024-09-06 · 2 authors here
ChatGPT Model, Combined with the Self-Constructed Dataset in Practice of Enhancing Traditional Chinese Medicine (TCM) Translation
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
Who funds this work
Funders named on the papers above. The record holds no recipient field, so this is reached through the documents themselves — and the two columns are two different claims, kept apart.
Under a named grant
funding_awards — the award carries a grant number
Listed as funder
doc_funder_links — named, with no grant number