pohl-michel
French AI researcher currently working in healthtech. I previously worked on AI applied to radiotherapy (at the Univ. of Tokyo) and finance (at Sony CSL).
BrainomixOxford, United Kingdom
Pinned Repositories
3D-image-warping-using-Nadaraya-Watson-non-linear-regression
Deforming a 3D image according to a given deformation vector field with Nadaraya-Watson regression; 3rd repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)
blog
Personal blog
coding-interview-questions
Solutions to coding interview questions on various websites
Lucas-Kanade-pyramidal-optical-flow-for-3D-image-sequences
Implementation of the Lucas-Kanade pyramidal optical flow algorithm to register 3D medical images; 1st repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)
pohl-michel
repository containing my GitHub profile page
time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regression
Prediction of multidimensional time-series data using a recurrent neural network (RNN) trained by real-time recurrent learning (RTRL), unbiased online recurrent optimization (UORO), least mean squares (LMS), or multivariate linear regression. The optimal hyper-parameters are selected using grid search with parallel processing.
Time-series-prediction-with-an-RNN-trained-with-RTRL
Multidimensional time-series data prediction with a recurrent neural network (RNN) trained by RTRL; 2nd repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)
pohl-michel's Repositories
pohl-michel/time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regression
Prediction of multidimensional time-series data using a recurrent neural network (RNN) trained by real-time recurrent learning (RTRL), unbiased online recurrent optimization (UORO), least mean squares (LMS), or multivariate linear regression. The optimal hyper-parameters are selected using grid search with parallel processing.
pohl-michel/Lucas-Kanade-pyramidal-optical-flow-for-3D-image-sequences
Implementation of the Lucas-Kanade pyramidal optical flow algorithm to register 3D medical images; 1st repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)
pohl-michel/Time-series-prediction-with-an-RNN-trained-with-RTRL
Multidimensional time-series data prediction with a recurrent neural network (RNN) trained by RTRL; 2nd repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)
pohl-michel/3D-image-warping-using-Nadaraya-Watson-non-linear-regression
Deforming a 3D image according to a given deformation vector field with Nadaraya-Watson regression; 3rd repo in a series of 3 repos associated with the research article "Prediction of the motion of chest internal points using an RNN trained with RTRL for latency compensation in lung cancer radiotherapy" (Pohl et al, Comput Med Imaging Graph, 2021)
pohl-michel/blog
Personal blog
pohl-michel/coding-interview-questions
Solutions to coding interview questions on various websites
pohl-michel/pohl-michel
repository containing my GitHub profile page
pohl-michel/pohl-michel.github.io
My professional website