MOP-MCML GPU Version: Performance Boost
A detailed introduction to the GPU-accelerated version of MOP-MCML, achieving a 175x performance leap based on CUDA architecture, supporting efficient simulation of millions of photons.
A detailed introduction to the GPU-accelerated version of MOP-MCML, achieving a 175x performance leap based on CUDA architecture, supporting efficient simulation of millions of photons.
A comprehensive guide for LIP6 lab members on accessing and utilizing the GPU cluster, covering SSH connections, environment setup, and Slurm job submission.
A comprehensive development guide for the AMD LeRobot Challenge, covering environment setup, robot calibration, teleoperation, dataset recording, and hardware maintenance.
A systematic validation study using tissue-equivalent optical phantoms to establish a bidirectional verification framework between simulation and experimental measurements, featuring a novel normalization-based correction method.
A concise guide to compiling and flashing firmware for the nRF52840 Dongle on macOS using nRF Connect SDK, including nrfutil usage and DFU mode details.
A comprehensive guide to configuring and configuring the nRF5340 DK (PCA10095) for local development, differentiating between the application and network cores.
A record of an interview with the LIP6 laboratory, sharing insights into PhD research life and scientific work.
A practical, theory-grounded guide to the MOP-MCML simulator for modeling photon transport in layered biological tissues, featuring Mean Optical Path (MOP) analysis and enhanced visualization.
A comprehensive guide to the Inverse Adding-Doubling (IAD) method for deducing intrinsic optical parameters from reflectance and transmittance measurements, including validation against MOP-MCML simulations.
A MATLAB-based framework for generating customizable ECG and PPG signals with realistic noise artifacts, designed to train and validate signal classification algorithms.