Deep Augmented Music Algorithm for Data-Driven Doa Estimation. - Julian P. Merkofer; Guy Revach; Nir Shlezinger; Ruud J. G. van Sloun (ICASSP, 2022)

Deep Root Music Algorithm for Data-Driven Doa Estimation. - Dor Haim Shmuel; Julian P. Merkofer; Guy Revach; Ruud J. G. van Sloun; Nir Shlezinger (ICASSP, 2023)

A Deep Learning Approach Utilizing Covariance Matrix Analysis for the ISBI Edited MRS Reconstruction Challenge. - Julian P. Merkofer; Dennis M. J. van de Sande; Sina Amirrajab; Gerhard S. Drenthen; Mitko Veta; Jacobus F. A. Jansen; Marcel Breeuwer; Ruud J. G. van Sloun (CoRR, 2023)

Anomalous Change Point Detection Using Probabilistic Predictive Coding. - Roelof G. Hup; Julian P. Merkofer; Alex A. Bhogal; Ruud J. G. van Sloun; Reinder Haakma; Rik Vullings (CoRR, 2024)

DA-MUSIC: Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm. - Julian P. Merkofer; Guy Revach; Nir Shlezinger; Tirza Routtenberg; Ruud J. G. van Sloun (IEEE Trans. Veh. Technol., 2024)

SubspaceNet: Deep Learning-Aided Subspace Methods for DoA Estimation. - Dor Haim Shmuel; Julian P. Merkofer; Guy Revach; Ruud J. G. van Sloun; Nir Shlezinger (IEEE Trans. Veh. Technol., 2025)

Physics-Informed Sylvester Normalizing Flows for Bayesian Inference in Magnetic Resonance Spectroscopy. - Julian P. Merkofer; Dennis M. J. van de Sande; Alex A. Bhogal; Ruud J. G. van Sloun (CoRR, 2025)