| Exploiting superior CNN-based iris segmentation for better recognition accuracy H Hofbauer, E Jalilian, A Uhl Pattern Recognition Letters 120, 17-23, 2019 | 96 | 2019 |
| Iris segmentation using fully convolutional encoder–decoder networks E Jalilian, A Uhl Deep Learning for Biometrics, 133-155, 2017 | 94 | 2017 |
| Finger-vein Recognition using Deep Fully Convolutional Neural Semantic Segmentation Networks: The Impact of Training Data E Jalilian, A Uhl IEEE 10th International Workshop on Information Forensics and Security (WIFS …, 2018 | 44 | 2018 |
| Domain Adaptation for CNN Based Iris Segmentation E Jalilian, A Uhl, R Kwitt IEEE 16th International Conference of the Biometrics Special Interest Group …, 2017 | 41 | 2017 |
| Enhanced Segmentation-CNN based Finger-Vein Recognition by Joint Training with Automatically Generated and Manual Labels E Jalilian, A Uhl IEEE 5th International Conference on Identity, Security and Behavior …, 2019 | 22 | 2019 |
| End-to-end Off-angle Iris Recognition Using CNN Based Iris Segmentation E Jalilian, M Karakaya, A Uhl IEEE 19th International Conference of the Biometrics Special Interest Group …, 2020 | 17 | 2020 |
| Towards fish individuality-based aquaculture R Schraml, H Hofbauer, E Jalilian, D Bekkozhayeva, M Saberioon, ... IEEE Transactions on Industrial Informatics 17 (6), 4356-4366, 2020 | 14 | 2020 |
| Iris Image Compression Using Deep Convolutional Neural Networks E Jalilian, H Hofbauer, A Uhl Sensors 22 (7), 2022 | 12 | 2022 |
| CNN‐based off‐angle iris segmentation and recognition E Jalilian, M Karakaya, A Uhl IET Biometrics 1, 1-18, 2021 | 12 | 2021 |
| Improved CNN-Segmentation-Based Finger Vein Recognition Using Automatically Generated and Fused Training Labels E Jalilian, A Uhl Handbook of Vascular Biometrics 1, 200-223, 2019 | 12 | 2019 |
| Neural networks for cross-section segmentation in raw images of log ends R Decelle, E Jalilian 2020 IEEE 4th International Conference on Image Processing, Applications and …, 2020 | 11 | 2020 |
| Deep Learning Based Automated Vickers Hardness Measurement E Jalilian, A Uhl Proceedings of the 19th International Conference on Computer Analysis of …, 2021 | 6 | 2021 |
| Mobile NIR Iris Recognition: Identifying Problems and Solutions H Hofbauer, E Jalilian, AF Sequeira, J Ferryman, A Uhl IEEE 9th International Conference on Biometrics: Theory, Applications, and …, 2018 | 6 | 2018 |
| Deep learning based off-angle iris recognition E Jalilian, G Wimmer, A Uhl, M Karakaya ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 4 | 2022 |
| Gaze-angle Impact on Iris Segmentation using CNNs E Jalilian, A Uhl, M Karakaya IEEE 10th International Conference on Biometrics: Theory, Applications and …, 2019 | 3 | 2019 |
| Deep Iris Compression E Jalilian, H Hofbauer, A Uhl In Proceedings of 25th International Conference on Pattern Recognition (ICPR …, 2020 | 2 | 2020 |
| Deep Domain Adaption for Convolutional Neural Network (CNN) based Iris Segmentation: Solutions and Pitfalls E Jalilian, A Uhl 2019 International Conference of the Biometrics Special Interest Group …, 2019 | 2 | 2019 |
| A Comparative Study of Cross‐Device Finger Vein Recognition Using Classical and Deep Learning Approaches T Arıcan, R Veldhuis, L Spreeuwers, L Bergeron, C Busch, E Jalilian, ... IET Biometrics 2024 (1), 3236602, 2024 | | 2024 |
| Impact of Image Compression on In-vitro Cell Migration Analysis E Jalilian, M Linortner, U Andreas Computers 12 (5), 98, 2023 | | 2023 |
| CNN-based fish iris identification R Schraml, G Wimmer, H Hofbauer, E Jalilian, D Bekkozhayeva, P Cisar, ... 2022 30th European Signal Processing Conference (EUSIPCO), 628-632, 2022 | | 2022 |
