| Integrating features for accelerometer-based activity recognition ÇB Erdaş, I Atasoy, K Açıcı, H Oğul Procedia Computer Science 98, 522-527, 2016 | 104 | 2016 |
| Parkinson's disease monitoring from gait analysis via foot-worn sensors T Aşuroğlu, K Açıcı, ÇB Erdaş, MK Toprak, H Erdem, H Oğul Biocybernetics and Biomedical Engineering 38 (3), 760-772, 2018 | 68 | 2018 |
| Femoral neck fracture detection in X-ray images using deep learning and genetic algorithm approaches S Beyaz, K Açıcı, E Sümer Joint diseases and related surgery 31 (2), 175, 2020 | 65 | 2020 |
| A random forest method to detect Parkinson’s disease via gait analysis K Açıcı, ÇB Erdaş, T Aşuroğlu, MK Toprak, H Erdem, H Oğul Engineering Applications of Neural Networks: 18th International Conference …, 2017 | 58 | 2017 |
| Deep-learning-based approaches for semantic segmentation of natural scene images: A review B Emek Soylu, MS Guzel, GE Bostanci, F Ekinci, T Asuroglu, K Acici Electronics 12 (12), 2730, 2023 | 34 | 2023 |
| Machine learning analysis of RNA-seq data for diagnostic and prognostic prediction of colon cancer E Bostanci, E Kocak, M Unal, MS Guzel, K Acici, T Asuroglu Sensors 23 (6), 3080, 2023 | 17 | 2023 |
| HANDY: A benchmark dataset for context-awareness via wrist-worn motion sensors K Açıcı, ÇB Erdaş, T Aşuroğlu, H Oğul Data 3 (3), 24, 2018 | 16 | 2018 |
| A new approach for gastrointestinal tract findings detection and classification: Deep learning-based hybrid stacking ensemble models E Sivari, E Bostanci, MS Guzel, K Acici, T Asuroglu, T Ercelebi Ayyildiz Diagnostics 13 (4), 720, 2023 | 15 | 2023 |
| Comparison of different machine learning approaches to detect femoral neck fractures in x-ray images K Açıcı, E Sümer, S Beyaz Health and Technology 11 (3), 643-653, 2021 | 15 | 2021 |
| Deep learning in diagnosis of dental anomalies and diseases: A systematic review E Sivari, GB Senirkentli, E Bostanci, MS Guzel, K Acici, T Asuroglu Diagnostics 13 (15), 2512, 2023 | 12 | 2023 |
| T4SS effector protein prediction with deep learning K Açıcı, T Aşuroğlu, ÇB Erdaş, H Oğul Data 4 (1), 45, 2019 | 12 | 2019 |
| Retrieving relevant experiments: The case of microRNA microarrays K Açıcı, YK Terzi, H Oğul Biosystems 134, 71-78, 2015 | 11 | 2015 |
| Multilabel Genre Prediction Using Deep-Learning Frameworks FZ Unal, MS Guzel, E Bostanci, K Acici, T Asuroglu Applied Sciences 13 (15), 8665, 2023 | 10 | 2023 |
| Texture of activities: exploiting local binary patterns for accelerometer data analysis T Aşuroğlu, K Açici, ÇB Erdaş, H Oğul 2016 12th International Conference on Signal-Image Technology & Internet …, 2016 | 8 | 2016 |
| Interpretation of magnetic resonance images of temporomandibular joint disorders by using deep learning S Ozsari, FR Yapicioglu, D Yilmaz, K Kamburoglu, MS Guzel, GE Bostanci, ... IEEE Access 11, 49102-49113, 2023 | 6 | 2023 |
| Monte Carlo Simulation of TRIM Algorithm in Ceramic Biomaterial in Proton Therapy F Ekinci, T Asuroglu, K Acici Materials 16 (13), 4833, 2023 | 3 | 2023 |
| Machine learning based orthodontic treatment planning for mixed dentition borderline cases suffering from moderate to severe crowding: An experimental research study GB Senirkentli, S İnce Bingöl, M Ünal, E Bostancı, MS Güzel, K Açıcı Technology and Health Care 31 (5), 1723-1735, 2023 | 3 | 2023 |
| Categorization of Alzheimer’s disease stages using deep learning approaches with McNemar’s test B Şener, K Acici, E Sümer PeerJ Computer Science 10, e1877, 2024 | 2 | 2024 |
| Crohn’s Disease Prediction Using Sequence Based Machine Learning Analysis of Human Microbiome M Unal, E Bostanci, C Ozkul, K Acici, T Asuroglu, MS Guzel Diagnostics 13 (17), 2835, 2023 | 2 | 2023 |
| The Future of Microreactors: Technological Advantages, Economic Challenges, and Innovative Licensing Solutions with Blockchain F Ekinci, MS Guzel, K Acici, T Asuroglu Applied Sciences 14 (15), 6673, 2024 | 1 | 2024 |
Tunç AşuroğluResearch Scientist, Health Data Analytics Team, VTT Technical Research Centre of FinlandVerified email at vtt.fi
