Author

Gökhan Uçar

Observed names: UÇAR, GÖKHAN, Uçar, Gökhan

Institution: Bilecik Şeyh Edebali Üniversitesi

Observed institution: Bilecik Şeyh Edebali Üniversitesi

ORCID: 0000-0003-1840-8613

Observed ORCID: 0000-0003-1840-8613

OpenAlex ID: A5089174398

Fall Detection Using Smartphone-Based Application

2016 · Kerim YILDIRIM, Gökhan Uçar, et al. · International Journal of Applied Methods in Electronics and Computers · 5

Development of the Test Platform for Rotary Wing Unmanned Air Vehicle

2016 · Uğur Yüzgeç, İrfan Ökten, et al. · Bilecik Şeyh Edebali Üniversitesi Fen Bilimleri Dergisi · 5

Enhanced Detection of White Matter Hyperintensities via Deep Learning-Enabled MR Imaging Segmentation

2024 · Gökhan Uçar, Emre Dandıl · Traitement du signal · 4

Automatic detection of white matter hyperintensities via mask region-based convolutional neural networks using magnetic resonance images

2022 · Gökhan Uçar, Emre Dandıl · Elsevier eBooks · 4

Code and results for "Safe bit rates for AI segmentation when image archives move to HTJ2K or JPEG XL: a paired lesion-level study in four imaging tasks"

2026 · Uçar, Gökhan, Tunçer, Sefa · Zenodo (CERN European Organization for Nuclear Research)

Data minimisation guards in digital identity wallets: benchmark, code and model outputs

2026 · Tunçer, Sefa, Uçar, Gökhan · Zenodo (CERN European Organization for Nuclear Research)

Private Medical Image Segmentation on a Single Untrusted Server: A Homomorphic Encryption-Compatible Architecture and Its Measured Cost — code and data

2026 · Uçar, Gökhan, Tunçer, Sefa · Zenodo (CERN European Organization for Nuclear Research)

Measuring Data Leakage in the Absence of Patient Identifiers: A Public Kidney CT Benchmark and a Transferable Screen

2026 · Gökhan Uçar · Journal of Imaging Informatics in Medicine

Lightweight attention mechanisms in breast ultrasound lesion segmentation: parameter cost, protocol choice, data leakage, and what the data can resolve

2026 · Gökhan Uçar · Research Square

Reproduction package for "Lightweight attention mechanisms in breast ultrasound lesion segmentation: parameter cost, protocol choice, data leakage, and what the data can resolve"

2026 · UÇAR, GÖKHAN · Zenodo (CERN European Organization for Nuclear Research)

Trained model weights for "Lightweight attention mechanisms in breast ultrasound lesion segmentation: parameter cost, protocol choice, data leakage, and what the data can resolve"

2026 · UÇAR, GÖKHAN · Zenodo (CERN European Organization for Nuclear Research)

Works count: 11

Citation count: 18

H-index: 4

I10-index: