Welcome !

Hello ! Since July 2020, I’m a PhD student working at Therapanacea in collaboration with Université Paris-Saclay, MICS laboratory at CentraleSupélec and UMR 1030 at Institut Gustave Roussy.

I work at the crossroads of Artificial Intelligence and Radiotherapy on creating an AI-based deep learning engine to produce Monte-Carlo-like radiotherapy dose simulations and using AI to better optimize parameters of radiotherapy plans.

Publications

Differentiable Gamma Index-Based Loss Functions: Accelerating Monte-Carlo Radiotherapy Dose Simulation, S. Martinot, N. Komodakis, M. Vakalopoulou, N. Bus, C. Robert, E. Deutsch and N. Paragios, Image Processing in Medical Imaging (IPMI) - Best Poster Award, Bariloche, Argentina, 2023

Deep Particles Embedding for Monte-Carlo simulations, S. Martinot, N. Komodakis, M. Vakalopoulou, N. Bus, C. Robert, E. Deutsch and N. Paragios, European Society for Therapeutic Radiology and Oncology (ESTRO) - Poster, Vienna, Austria, 2023

High-particle simulation of Monte-Carlo dose distribution with 3D ConvLSTMs, S. Martinot, N. Bus, M. Vakalopoulou, C. Robert, E. Deutsch and N. Paragios, Medical Image Computing and Computer Assisted Intervention (MICCAI) - Paper & Oral, 2021

Weakly supervised 3D ConvLSTMs for Monte-Carlo radiotherapy dose simulations, S. Martinot, N. Bus, M. Vakalopoulou, C. Robert, E. Deutsch and N. Paragios, Medical Imaging for Deep Learning (MIDL) - Short paper, 2021

Fast Monte-Carlo dose simulation with recurrent deep learning, S. Martinot, N. Bus, M. Vakalopoulou, C. Robert, E. Deutsch and N. Paragios, European Society for Therapeutic Radiology and Oncology (ESTRO) - Abstract & Oral, Madrid, Spain, 2021