Type
Funder
Country
—
Documents
43
through any edge
Papers
0
authorship edges
Awards made
15
15 grant numbers
Named as funder
43
no grant number
Identifiers
Funding
Read from the funding tables, never from the document count — that count includes authorship, so it ranks institutions, not funders.
What Seoul National University Hospital has funded
15 awards under 15 distinct grant numbers, across 13 documents. A further 43 documents name it as a funder without a grant number — a weaker claim, counted separately.
Keyword Extraction Algorithm for Classifying Smoking Status from Unstructured Bilingual Electronic Health Records Based on Natural Language Processinggrant 04-2019-0250 · 2021-09-22Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening USgrant 06-2022-2110 · 2024-07-01Screening Outcomes of Mammography with AI in Dense Breasts: A Comparative Study with Supplemental Screening USgrant 06-2022-3040 · 2024-07-01Breast Cancer Detection with Standalone AI versus Radiologist Interpretation of Unilateral Surveillance Mammography after Mastectomygrant 04-2023-2160 · 2025-04-01Benchmarking pathology foundation models for predicting microsatellite instability in colorectal cancer histopathologygrant HI18C0316 · 2025-12-03Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnosesgrant 06-2019-0540 · 2021-01-11Automated deep learning model for estimating intraoperative blood loss using gauze imagesgrant 1920230020 · 2024-01-31Semi-Supervised Fatty Liver Classification Using Attention-Based Graph Neural Network Modelsgrant 0320212130 · 2025-12-19Semi-Supervised Fatty Liver Classification Using Attention-Based Graph Neural Network Modelsgrant 2021-2543 · 2025-12-19Comparison of Digital Mammography Plus Full ABUS Review and Digital Mammography Plus Selective ABUS Review Guided by ABUS Artificial Intelligence–Computer-Aided Diagnosis for Breast Cancer Screeninggrant 0620223830 · 2026-01-01
10 of 58 funding edges