Predicting Mortality after Transcatheter Aortic Valve Replacement using Preprocedural CT [Scientific Reports 2024]
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May 5, 2026 - Python
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Read SEC and ESEF XBRL filings locally: parse once with Arelle into a portable model, export to TAVI, xBRL-JSON, JSON-LD or a LadybugDB property graph (one filing or many stacked), and query it with Cypher or from any MCP client.
python mcp knowledge-graph json-ld cypher property-graph financial-statements financial-analysis xbrl sec-edgar arelle sec edgar tavi ifrs ixbrl esef xbrl-json mcp-server ladybugdb
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Oct 25, 2026 - Python
Research tool for continuous NCC-to-LV-myocardium membranous-septum candidate segmentation on cardiac CTA
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Jul 27, 2026 - Python
Interpretable machine learning framework for predicting mid-term mortality and major periprocedural complications after transcatheter aortic valve implantation (TAVI) using pre-procedural clinical, echocardiographic, CT, and cusp-specific aortic valve calcium topography data. Includes reproducible survival and classification pipelines following TRI
machine-learning scikit-learn medical-imaging survival-analysis radiology calcium computed-tomography tavi cardiology explainable-ai shap cardiovascular-medicine scikit-survival tavr aortic-valve transcatheter-aortic-valve-implantation
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Jul 10, 2026 - Python
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