| Deep learning-based feature extraction in iris recognition: Use existing models, fine-tune or train from scratch? A Boyd, A Czajka, K Bowyer 2019 IEEE 10th International Conference on Biometrics Theory, Applications …, 2019 | 63 | 2019 |
| Iris liveness detection competition (livdet-iris)-the 2020 edition P Das, J Mcfiratht, Z Fang, A Boyd, G Jang, A Mohammadi, S Purnapatra, ... 2020 IEEE international joint conference on biometrics (IJCB), 1-9, 2020 | 55 | 2020 |
| Cyborg: Blending human saliency into the loss improves deep learning-based synthetic face detection A Boyd, P Tinsley, KW Bowyer, A Czajka Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 39 | 2023 |
| Iris presentation attack detection: Where are we now? A Boyd, Z Fang, A Czajka, KW Bowyer Pattern Recognition Letters 138, 483-489, 2020 | 39 | 2020 |
| Human-aided saliency maps improve generalization of deep learning A Boyd, KW Bowyer, A Czajka Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 31 | 2022 |
| Post-mortem iris recognition—a survey and assessment of the state of the art A Boyd, S Yadav, T Swearingen, A Kuehlkamp, M Trokielewicz, ... IEEE Access 8, 136570-136593, 2020 | 30 | 2020 |
| Review of iris presentation attack detection competitions D Yambay, P Das, A Boyd, J McGrath, Z Fang, A Czajka, S Schuckers, ... Handbook of Biometric Anti-Spoofing: Presentation Attack Detection and …, 2023 | 21 | 2023 |
| Noninvasive molecular subtyping of pediatric low-grade glioma with self-supervised transfer learning D Tak, Z Ye, A Zapaischykova, Y Zha, A Boyd, S Vajapeyam, R Chopra, ... Radiology: Artificial Intelligence 6 (3), e230333, 2024 | 20 | 2024 |
| Comprehensive study in open-set iris presentation attack detection A Boyd, J Speth, L Parzianello, KW Bowyer, A Czajka IEEE Transactions on Information Forensics and Security 18, 3238-3250, 2023 | 16* | 2023 |
| Human saliency-driven patch-based matching for interpretable post-mortem iris recognition A Boyd, D Moreira, A Kuehlkamp, K Bowyer, A Czajka Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 16 | 2023 |
| Stepwise transfer learning for expert-level pediatric brain tumor MRI segmentation in a limited data scenario A Boyd, Z Ye, SP Prabhu, MC Tjong, Y Zha, A Zapaishchykova, ... Radiology: Artificial Intelligence 6 (4), e230254, 2024 | 15* | 2024 |
| The value of ai guidance in human examination of synthetically-generated faces A Boyd, P Tinsley, K Bowyer, A Czajka Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5930-5938, 2023 | 15 | 2023 |
| Interpretable deep learning-based forensic iris segmentation and recognition A Kuehlkamp, A Boyd, A Czajka, K Bowyer, P Flynn, D Chute, E Benjamin Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 13 | 2022 |
| Iris liveness detection competition (livdet-iris)–the 2023 edition P Tinsley, S Purnapatra, M Mitcheff, A Boyd, C Crum, K Bowyer, P Flynn, ... 2023 IEEE International Joint Conference on Biometrics (IJCB), 1-10, 2023 | 11 | 2023 |
| Head and neck primary tumor and lymph node auto-segmentation for PET/CT scans A Jain, J Huang, Y Ravipati, G Cain, A Boyd, Z Ye, BH Kann 3D Head and Neck Tumor Segmentation in PET/CT Challenge, 61-69, 2022 | 11 | 2022 |
| Explain to me: Salience-based explainability for synthetic face detection models CR Crum, P Tinsley, A Boyd, J Piland, C Sweet, T Kelley, K Bowyer, ... IEEE Transactions on Artificial Intelligence 5 (6), 2766-2778, 2023 | 7 | 2023 |
| Teaching AI To Teach: Leveraging limited human salience data into unlimited saliency-based training CR Crum, A Boyd, K Bowyer, A Czajka The British Machine Vision Conference (2023), 2023 | 6 | 2023 |
| Are gabor kernels optimal for iris recognition? A Boyd, A Czajka, K Bowyer 2020 IEEE International Joint Conference on Biometrics (IJCB), 1-9, 2020 | 3 | 2020 |
| Audio DSP remote hardware prototyping and console creation D Canavan, F Callaly, A Boyd, D O’Loughlin, J Audiger, Y Boyer, ... 2018 29th Irish Signals and Systems Conference (ISSC), 1-6, 2018 | 3 | 2018 |
| Lgg-05. Imaging-based deep learning for event-free survival prediction in patients with pediatric low-grade glioma A Zapaishchykova, H Hayat, Z Ye, S Vajapeyam, RB Chopra, A Boyd, ... Neuro-Oncology 25 (Supplement_1), i56-i56, 2023 | 2 | 2023 |
Kevin W. BowyerSchubmehl-Prein Family Professor of Computer Science and Engineering, University of Notre DameVahvistettu sähköpostiosoite verkkotunnuksessa nd.edu
