Different Tools for Clutter Mapping. - Isabel Schlangen; Martina Daun (GI Jahrestagung (2), 2010)

A novel approach to image calibration in super-resolution microscopy. - Isabel Schlangen; Jeremie Houssineau; Daniel E. Clark (ICCAIS, 2014)

A PHD filter with negative binomial clutter. - Isabel Schlangen; Emmanuel Delande; Jeremie Houssineau; Daniel E. Clark (FUSION, 2016)

Marker-Less Stage Drift Correction in Super-Resolution Microscopy Using the Single-Cluster PHD Filter. - Isabel Schlangen; Jose Franco; Jeremie Houssineau; William T. E. Pitkeathly; Daniel Edward Clark; Ihor Smal; Colin Rickman (IEEE J. Sel. Top. Signal Process., 2016)

Joint multi-object and clutter rate estimation with the single-cluster PHD filter. - Isabel Schlangen; Vibhav Bharti; Emmanuel Delande; Daniel E. Clark (ISBI, 2017)

Distinguishing Wanted and Unwanted Targets Using Point Processes. - Isabel Schlangen; Christoph Degen; Alexander Charlish (FUSION, 2018)

A Second-Order PHD Filter With Mean and Variance in Target Number. - Isabel Schlangen; Emmanuel Delande; Jeremie Houssineau; Daniel E. Clark (IEEE Trans. Signal Process., 2018)

Sequential Monte Carlo Filtering with Long Short-Term Memory Prediction. - Steffen Jung 003; Isabel Schlangen; Alexander Charlish (FUSION, 2019)

Time-Dependent State Prediction for the Kalman Filter Based on Recurrent Neural Networks. - Steffen Jung 003; Isabel Schlangen; Alexander Charlish (FUSION, 2020)

A Mnemonic Kalman Filter for Non-Linear Systems With Extensive Temporal Dependencies. - Steffen Jung 003; Isabel Schlangen; Alexander Charlish (IEEE Signal Process. Lett., 2020)

Joint Registration and Fusion of an Infrared Camera and Scanning Radar in a Maritime Context. - David Cormack; Isabel Schlangen; James R. Hopgood; Daniel E. Clark (IEEE Trans. Aerosp. Electron. Syst., 2020)

Towards Human-Machine Integration for Signals Intelligence Applications. - Jonas D. Rockbach; Luka-Franziska Bluhm; Isabel Schlangen; Laura Over; Sabine Apfeld; Lukas Henneke; Kevin Wilkinghoff (SDF, 2022)

Self-organising Distributed Sensor Fusion Networks for Hierarchical Swarm Control and Supervision. - Jonas D. Rockbach; Isabel Schlangen; Maren Bennewitz (SDF-MFI, 2023)

Data-Driven Approaches for Modelling Target Behaviour. - Isabel Schlangen; André Brandenburger; Mengwei Sun; James R. Hopgood (CoRR, 2024)