| 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 | 70 | 2018 |
| 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 | 69 | 2023 |
| 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 | 61 | 2017 |
| A deep learning approach for sepsis monitoring via severity score estimation T Aşuroğlu, H Oğul Computer methods and programs in biomedicine 198, 105816, 2021 | 45 | 2021 |
| A deep learning approach for parkinson’s disease severity assessment T Aşuroğlu, H Oğul Health and Technology 12 (5), 943-953, 2022 | 37 | 2022 |
| Predicting infections using computational intelligence–a systematic review A Baldominos, A Puello, H Oğul, T Aşuroğlu, R Colomo-Palacios IEEE Access 8, 31083-31102, 2020 | 36 | 2020 |
| 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 | 28 | 2023 |
| 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 | 26 | 2023 |
| 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 | 23 | 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 | 17 | 2018 |
| Multilabel genre prediction using deep-learning frameworks FZ Unal, MS Guzel, E Bostanci, K Acici, T Asuroglu Applied Sciences 13 (15), 8665, 2023 | 13 | 2023 |
| 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 | 13 | 2023 |
| T4SS effector protein prediction with deep learning K Açıcı, T Aşuroğlu, ÇB Erdaş, H Oğul Data 4 (1), 45, 2019 | 12 | 2019 |
| Complex human activity recognition using a local weighted approach T Aşuroğlu IEEE Access 10, 101207-101219, 2022 | 9 | 2022 |
| 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 | 9 | 2016 |
| Computerized Hittite Cuneiform Sign Recognition and Knowledge-Based System Application Examples AZ Aktas, B Yesiltepe, T Asuroglu | 6 | 2019 |
| Artificial Intelligence in Biomaterials: A Comprehensive Review Y Gokcekuyu, F Ekinci, MS Guzel, K Acici, S Aydin, T Asuroglu Applied Sciences 14 (15), 6590, 2024 | 5 | 2024 |
| Cloud type classification using deep learning with cloud images M Guzel, M Kalkan, E Bostanci, K Acici, T Asuroglu PeerJ Computer Science 10, e1779, 2024 | 5 | 2024 |
| On computer-aided prognosis of septic shock from vital signs H Oğul, A Baldominos, T Aşuroğlu, R Colomo-Palacios | 5 | 2019 |
| Reversible logic-based hexel value differencing—a spatial domain steganography method for hexagonal image processing T Cevik, N Cevik, J Rasheed, T Asuroglu, S Alsubai, M Turan IEEE Access 11, 118186-118203, 2023 | 4 | 2023 |
