| Graphene-enabled electrodes for electrocardiogram monitoring N Celik, N Manivannan, A Strudwick, W Balachandran Nanomaterials 6 (9), 156, 2016 | 78 | 2016 |
| Graphene‐based biosensors: methods, analysis and future perspectives N Celik, W Balachandran, N Manivannan IET Circuits, Devices & Systems 9 (6), 434-445, 2015 | 46 | 2015 |
| Measurement of core body temperature using graphene-inked infrared thermopile sensor JS Chaglla E, N Celik, W Balachandran Sensors 18 (10), 3315, 2018 | 42 | 2018 |
| Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data N Celik, F O’Brien, S Brennan, RD Rainbow, C Dart, Y Zheng, F Coenen, ... Communications biology 3 (1), 3, 2020 | 35 | 2020 |
| Evaluation of a behind-the-ear ECG device for smartphone based integrated multiple smart sensor system in health applications N Manivannan, N Celik, W Balachandran | 21 | 2016 |
| Wearable mobile ear-based ECG monitoring device using graphene-coated sensors N Celik, W Balachandran, N Manivannan, EM Winter, B Schnalzer, ... 2017 IEEE SENSORS, 1-3, 2017 | 14 | 2017 |
| Endouda: A modality independent segmentation approach for endoscopy imaging N Celik, S Ali, S Gupta, B Braden, J Rittscher International Conference on Medical Image Computing and Computer-Assisted …, 2021 | 13 | 2021 |
| Multimodal biometrics for robust fusion systems using logic gates N Celik, N Manivannan, W Balachandran, S Kosunalp OMICS International, 2015 | 9 | 2015 |
| A novel deep learning based OCTA de-striping method D Gao, N Celik, X Wu, BM Williams, A Stylianides, Y Zheng Medical Image Understanding and Analysis: 23rd Conference, MIUA 2019 …, 2020 | 5 | 2020 |
| Improved artifact detection in endoscopy imaging through profile pruning Z Xu, S Ali, S Gupta, N Celik, J Rittscher Medical Image Understanding and Analysis: 25th Annual Conference, MIUA 2021 …, 2021 | 4 | 2021 |
| Wireless graphene-based electrocardiogram (ECG) sensor including multiple physiological measurement system N Celik Brunel University London, 2017 | 2 | 2017 |
| Ear-lead multiple smart bio sensor system in m-health N Celik, W Balachandran, N Manivannan EAI Endorsed Transactions on Pervasive Health and Technology 2 (6), 2015 | 2 | 2015 |
| Self-supervised Approach for a Fully Assistive Esophageal Surveillance: Quality, Anatomy and Neoplasia Guidance Z Xu, S Ali, N Celik, A Bailey, B Braden, J Rittscher MICCAI Workshop on Cancer Prevention through Early Detection, 14-23, 2022 | 1 | 2022 |
| Unsupervised Adversarial Domain Adaptation For Barrett's Segmentation N Celik, S Gupta, S Ali, J Rittscher arXiv preprint arXiv:2012.05316, 2020 | 1 | 2020 |
| Deep-channel: A deep convolution and recurrent neural network for detection of single molecule events N Celik, F O’Brien, Y Zheng, F Coenen, R Barrett-Jolley bioRxiv, 767418, 2019 | 1 | 2019 |
| Wearable graphene-based electrophysiological biosensing system for real-time health monitoring N Celik, W Balachandran, N Manivannan Graphene Bioelectronics, 339-360, 2018 | 1 | 2018 |
| DeepGANnel: Synthesis of fully annotated single molecule patch-clamp data using generative adversarial networks STM Ball, N Celik, E Sayari, L Abdul Kadir, F O’Brien, R Barrett-Jolley PloS one 17 (5), e0267452, 2022 | | 2022 |
| Comparison of Deep Learning Models for Fully Automated Single Channel Idealization S Ball, N Celik, N O’Neill, F O’Brien, R Barrett-Jolley Biophysical Journal 120 (3), 84a, 2021 | | 2021 |
| The Teach Brunel Project: Learning electronics with the use of MATLAB N Manivannan, M Nasiri, N Celik Taylor & Francis, 2020 | | 2020 |
| Journal of Biometrics & Biostatistics N Celik | | |
