| Photonic neuromorphic information processing and reservoir computing A Lugnan, A Katumba, F Laporte, M Freiberger, S Sackesyn, C Ma, ... APL Photonics 5 (2), 2020 | 58 | 2020 |
| Neuromorphic computing based on silicon photonics and reservoir computing A Katumba, M Freiberger, F Laporte, A Lugnan, S Sackesyn, C Ma, ... IEEE Journal of Selected Topics in Quantum Electronics 24 (6), 1-10, 2018 | 47 | 2018 |
| Integrated pillar scatterers for speeding up classification of cell holograms A Lugnan, J Dambre, P Bienstman Optics express 25 (24), 30526-30538, 2017 | 12 | 2017 |
| Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry A Lugnan, E Gooskens, J Vatin, J Dambre, P Bienstman Scientific Reports 10 (1), 20724, 2020 | 7 | 2020 |
| System-level simulation for integrated phase-change photonics SGC Carrillo, A Lugnan, E Gemo, P Bienstman, WHP Pernice, ... Journal of Lightwave Technology 39 (20), 6392-6402, 2021 | 6 | 2021 |
| Rigorous dynamic model of a silicon ring resonator with phase change material for a neuromorphic node A Lugnan, SGC Carrillo, CD Wright, P Bienstman Optics Express 30 (14), 25177-25194, 2022 | 5 | 2022 |
| Neuromorphic information processing using silicon photonics P Bienstman, J Dambre, A Katumba, M Freiberger, F Laporte, A Lugnan, ... Active Photonic Platforms XI 11081, 49-55, 2019 | 3 | 2019 |
| Photonic reservoir computing: a brain-inspired approach for information processing P Bienstman, J Dambre, A Katumba, M Freiberger, F Laporte, A Lugnan Optical Fiber Communication Conference, M4F. 4, 2018 | 2 | 2018 |
| Training a spiking neural network on an event-based label-free flow cytometry dataset M Gouda, S Abreu, A Lugnan, P Bienstman arXiv preprint arXiv:2303.10632, 2023 | 1 | 2023 |
| Improving the classification accuracy in label-free flow cytometry using event-based vision and simple logistic regression M Gouda, A Lugnan, J Dambre, G van den Branden, C Posch, ... IEEE Journal of Selected Topics in Quantum Electronics 29 (2: Optical …, 2023 | 1 | 2023 |
| Flow cytometry with event-based vision and spiking neuromorphic hardware S Abreu, M Gouda, A Lugnan, P Bienstman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 1 | 2023 |
| Object classification system and method P Bienstman, A Lugnan, F Laporte US Patent 11,475,683, 2022 | 1 | 2022 |
| Integrated dielectric scatterers for fast optical classification of biological cells A Lugnan, J Dambre, P Bienstman Neuro-inspired Photonic Computing 10689, 7-13, 2018 | 1 | 2018 |
| Silicon Ring Resonator with Phase-Change Material as a Plastic Dynamical Node for Scalable All-Optical Neural Networks with Synaptic Plasticity A Lugnan, SGC Carrillo, J Song, S Aggarwal, F Brückerhoff-Plückelmann, ... 2023 23rd International Conference on Transparent Optical Networks (ICTON), 1-4, 2023 | | 2023 |
| Performance Enhancement via Synaptic Plasticity in an Integrated Photonic Recurrent Neural Network with Phase-Change Materials A Lugnan, S Aggarwal, F Brückerhoff-Plückelmann, WHP Pernice, ... 2023 Conference on Lasers and Electro-Optics Europe & European Quantum …, 2023 | | 2023 |
| Photonic neural networks based on integrated silicon microresonators S Biasi, G Donati, A Lugnan, M Mancinelli, E Staffoli, L Pavesi arXiv preprint arXiv:2306.04779, 2023 | | 2023 |
| Event-based vision for improved classification accuracy in label-free flow cytometry MGA Gouda, A Lugnan, J Dambre, G Van den Branden, C Posch, ... IEEE Benelux Photonics Chapter-Annual Symposium 2022, 26-29, 2022 | | 2022 |
| Coherent Optical Computing in Silicon Photonics P Bienstman, A Lugnan, C Ma, E Gooskens, S Masaad, MGA Gouda, ... Coherent Network Computing (CNC), 1-1, 2022 | | 2022 |
| Photonics-Based Machine Learning to Speed up and Simplify Label-Free Flow Cytometry A Lugnan | | 2021 |
| Photonic neuromorphic computing using silicon chips P Bienstman, J Dambre, A Lugnan, S Sackesyn, C Ma, E Gooskens, ... bePOM-Belgian Photonics Online Meetup, 2021 | | 2021 |
