Deutsche Nationalbibliothek
metadata only
Deep biological electron microscopy analysis: learning on few and noisy images / Hannah Kniesel
Dissertation, Ulm, Universität Ulm, 2026
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CrystalX: High-accuracy Crystal Structure Analysis Using Deep Learning#163059
- The promise of artificial intelligence and deep learning in PET and SPECT imaging#686363
- Accelerating electron diffraction analysis using graph neural networks and attention mechanisms#624294
- Voltage imaging of neurons distributed across entire brains of larval zebrafish.#659713
- RAVEN: Robust, generalizable, multi-resolution structural MRI upsampling using autoencoders.#433827
Record · ID 1052396
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive