Deniz Erdoğmuş
Turkish researcher
Facts
9 properties
🏷️ Also known as
en Deniz Erdoğmuş
nl Deniz Erdogmus
🔖 Identifiers · 5
- ORCID iD
- 0000-0002-1114-3539
- OpenAlex ID
- A5083261801as 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
- DBLP author ID
- 57/3284
- Google Scholar author ID
- ivq0KKMAAAAJ
- IEEE Xplore author ID
- 37285051800
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 69
A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity,
An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling,
An Event-Driven AR-Process Model for EEG-Based BCIs With Rapid Trial Sequences,
An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex,
A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio,
A Severity Score for Retinopathy of Prematurity,
Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images,
Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection
+61 more
← Authored by 69
A GMM-based feature extraction technique for the automated diagnosis of Retinopathy of Prematurity,
An Active RBSE Framework to Generate Optimal Stimulus Sequences in a BCI for Spelling,
An Event-Driven AR-Process Model for EEG-Based BCIs With Rapid Trial Sequences,
An experimental and computational framework for modeling multi-muscle responses to transcranial magnetic stimulation of the human motor cortex,
A Probabilistic Active Learning Algorithm Based on Fisher Information Ratio,
A Severity Score for Retinopathy of Prematurity,
Association of Biomarker-Based Artificial Intelligence With Risk of Racial Bias in Retinal Images,
Asymmetric Loss Functions and Deep Densely-Connected Networks for Highly-Imbalanced Medical Image Segmentation: Application to Multiple Sclerosis Lesion Detection
+61 more
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