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pohl-michel/README.md

Welcome to my GitHub page! My experience spans computer vision, natural language processing, graph machine learning, and time-series forecasting. I am particularly interested in online learning, sequence modeling with transformers, video prediction, and generative AI. I currently work at Brainomix (Oxford, UK), where I explore machine learning for computer-aided diagnosis of interstitial lung diseases.

Selected open-source projects:

Chest and liver cine-MRI prediction using PCA-based motion modeling and temporal dynamics forecasting with RNNs trained online and transformers Deformable 3D image registration using the pyramidal, iterative Lucas–Kanade optical-flow algorithm

6-step-ahead prediction of sagittal cine-MRI cross-sections using sparse one-step approximation (left: ground truth, right: prediction).

Estimation of breathing-related 3D lung-tumor motion using deformable image registration.

Time-series forecasting using RNNs trained online and transformers

Prediction of the 3D positions of 3 markers on the chest of a subject 2.1s in advance (i.e., 7 time steps ahead, at a sampling rate of 3.33Hz) using RNNs trained with decoupled neural interfaces, enabling latency compensation during lung radiotherapy treatment.

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  1. time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regression time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regression Public

    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 squa…

    MATLAB 17 6

  2. Lucas-Kanade-pyramidal-optical-flow-for-3D-image-sequences Lucas-Kanade-pyramidal-optical-flow-for-3D-image-sequences Public

    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 …

    MATLAB 9

  3. 2D-MR-image-prediction 2D-MR-image-prediction Public

    Future frame prediction in 2D chest and liver cine-MRI using the PCA respiratory motion model: comparing transformers and online learning algorithms for RNNs

    Jupyter Notebook 4

  4. fourier-glrt-based-graph-classification fourier-glrt-based-graph-classification Public

    Binary classification of graph-structured data via generalized likelihood ratio testing (GLRT) and Fourier graph transforms, and application to Alzheimer disease detection from PET data

    MATLAB

  5. fibre_bundle_modeling fibre_bundle_modeling Public

    Mechanical modeling of a periodic fiber-bundle structure

    MATLAB