Compressing Recurrent Neural Networks for FPGA-accelerated Implementation in Fluorescence Lifetime Imaging. - Ismail Erbas; Vikas Pandey; Aporva Amarnath; Naigang Wang; Karthik Swaminathan; Stefan T. Radev; Xavier Intes (CoRR, 2024)

Unlocking Real-Time Fluorescence Lifetime Imaging: Multi-Pixel Parallelism for FPGA-Accelerated Processing. - Ismail Erbas; Aporva Amarnath; Vikas Pandey; Karthik Swaminathan; Naigang Wang; Xavier Intes (CoRR, 2024)

Enhancing Fluorescence Lifetime Parameter Estimation Accuracy with Differential Transformer Based Deep Learning Model Incorporating Pixelwise Instrument Response Function. - Ismail Erbas; Vikas Pandey; Navid Ibtehaj Nizam; Nanxue Yuan; Amit Verma; Margarida Barosso; Xavier Intes (CoRR, 2024)

No Time to Lose: Enabling Real-Time Fluorescence Lifetime Imaging on Resource-constrained FPGAs Through Efficient Scheduling. - Ismail Erbas; Aporva Amarnath; Vikas Pandey; Karthik Swaminathan; Naigang Wang; Xavier Intes (FPGA, 2025)

EvidenceMoE: A Physics-Guided Mixture-of-Experts with Evidential Critics for Advancing Fluorescence Light Detection and Ranging in Scattering Media. - Ismail Erbas; Ferhat Demirkiran; Karthik Swaminathan; Naigang Wang; Navid Ibtehaj Nizam; Stefan T. Radev; Kaoutar El Maghraoui; Xavier Intes; Vikas Pandey (CoRR, 2025)