Behdad Dashtbozorg
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- NKI, Oncode Institute, Guided Therapeutics (United States)as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0003-4443-1614
- OpenAlex ID
- A5049693882as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 21
A micromechanics‐based recurrent neural networks model for path‐dependent cyclic deformation of short fiber composites,
Artery/vein classification using reflection features in retina fundus images,
Automatic corneal nerve fiber segmentation and geometric biomarker quantification,
Automatic detection of vascular bifurcations and crossings in retinal images using orientation scores,
Brain-inspired algorithms for retinal image analysis,
Broadband hyperspectral imaging for breast tumor detection using spectral and spatial information,
Discriminating healthy from tumor tissue in breast lumpectomy specimens using deep learning-based hyperspectral imaging,
Feasibility of Ex Vivo Margin Assessment with Hyperspectral Imaging during Breast-Conserving Surgery: From Imaging Tissue Slices to Imaging Lumpectomy Specimen
+13 more
← Authored by 21
A micromechanics‐based recurrent neural networks model for path‐dependent cyclic deformation of short fiber composites,
Artery/vein classification using reflection features in retina fundus images,
Automatic corneal nerve fiber segmentation and geometric biomarker quantification,
Automatic detection of vascular bifurcations and crossings in retinal images using orientation scores,
Brain-inspired algorithms for retinal image analysis,
Broadband hyperspectral imaging for breast tumor detection using spectral and spatial information,
Discriminating healthy from tumor tissue in breast lumpectomy specimens using deep learning-based hyperspectral imaging,
Feasibility of Ex Vivo Margin Assessment with Hyperspectral Imaging during Breast-Conserving Surgery: From Imaging Tissue Slices to Imaging Lumpectomy Specimen
+13 more
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Summary
Behdad Dashtbozorg is a human[1].