Inverse Problems and Applications (IPA)

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The “Inverse Problems and Applications” (IPA) research group addresses the challenge of inverse problems, essential for reconstructing signals from observations and controlling systems to achieve desired outcomes. The group’s research focuses on advancing clinical imaging through innovative approaches to inverse problems.

Key research areas include:

Tomographic Reconstruction: Developing techniques for various imaging modalities such as cone-beam CT, photon counting CT, robotic CT, PET, SPECT, and OCT, even under suboptimal conditions, to enhance diagnostic accuracy and reliability.

Image Quality: Enhancing the clarity and detail of medical images, promoting better diagnostic and treatment planning capabilities.

Blood Flow Analysis: Predicting and analyzing vascular dynamics to aid in the understanding and treatment of circulatory conditions.

Motion Estimation and Correction: Implementing solutions for both rigid and non-rigid motion, ensuring precise imaging despite patient movement.

27 members · 2 open topics · 31 running theses

Current Theses & Projects

Title Student Supervisors
Weather-Driven Estimation and Forecasting of Soil Temperature at Pipe Depth in Water Distribution Networks Bassem Magdi Shalaby Andreas Maier, Siming Bayer, Mohammad Moataz Tolba, M. Sc.
ASR In Medical Domain with Siemens – Paula Andrea Pérez-Toro, Haobo Song, Andreas Maier
Conditional Generation of Tire Patterns using Generative AI Puranjan Bandyopadhyaya Linda-Sophie Schneider
Attention-Residual Bottleneck Vision-xLSTM U-Net for Small-Scale Medical Image Segmentation. Yuyang Ma Yipeng Sun
Cross-Domain Ontology-driven Agentic RAG over Gigantic Collection of German Historic Text Ritwik Ghosh Linda-Sophie Schneider
Cross-Topology Generalization of Spatiotemporal Graph Neural Networks for Power System Protection Jithin Baby Julian Oelhaf, Siming Bayer, Andreas Maier
Physics-Guided Residual Correction for Temperature Prediction in Water Distribution Networks Ahmed Mohamed Ahmed Aly Andreas Maier, Siming Bayer, Mohammad Moataz Tolba, M. Sc.
Physics-informed graph neural networks for urban flood simulation Muhammad Muneeb Hashmi Siming Bayer
Discovering seasonal behavioral structure in water demand through consumer clustering Abdul Sami Asif Siming Bayer
MRI Reconstruction – Md Hasan, Paula Andrea Pérez-Toro, Andreas Maier
Agentic RAG for Multi-Step Reasoning in Complex Technical Corpora Muhammad Gulfam Tahir Changhun Kim, Siming Bayer
Robust CT image restoration based on evolutionary algorithms Ziqing Lu Yipeng Sun
Federated Learning for Fault Analysis in Power Systems Lukas Bayer Julian Oelhaf, Siming Bayer, Andreas Maier
Solving the Puppet Cube V1 with A* search and Neural Networks Luis Neugebauer Linda-Sophie Schneider
Ensemble and Multi-Scale Inference Strategies for Improving Tile-Based Defect Segmentation in Industrial X-Ray Images Paul Walcher Linda-Sophie Schneider
Design and Evaluation of an LLM-Based Agentic Workflow for the (Semi-)Automation of Public Tendering Processes in Germany Evren Tiras Linda-Sophie Schneider
Temperatures in MRI Scanners – Paula Andrea Pérez-Toro, Siming Bayer, Andreas Maier
AI-Enhanced Data Imputation for Water Network Modeling Kristi Kotini Andreas Maier, Siming Bayer, Mohammad Moataz Tolba
Deep Learning-Based Landmark Detection for Intraoperative Femoral Antetorsion Estimation Michael Weig Joshua Scheuplein
Development of a Foundation Model for Real-Time Applications in Interventional X-Ray Imaging Arash Mousavi Joshua Scheuplein, Andreas Maier
Leakage Detection and Localization in Water Distribution Networks Using Hybrid Modeling and Data-Driven Techniques Mohamed Wasfi Mohamed Ibrahim Andreas Maier, Siming Bayer, Mohammad Moataz Tolba
Enhancing explainability of Time Series Forecasting in Smart Infrastructures Shubham Gupta Andreas Maier, Siming Bayer, Adithya Ramachandran, M. Sc.
Synthetic Data Generation and Deep Learning-Based Object Detection and Segmentation for Interventional Devices in Cardiac and Neurovascular Fluoroscopy Mersad Shoaei Taklimi Joshua Scheuplein, Farid Tasharofi, Andreas Maier
MetaMorph: A Unified Framework with Modular Designs for Joint Affine and Deformable Medical Image Registration Yi Li Siyuan Mei
Analyzing contrast agent inhomogeneities in the left atrial appendage Seyedeh Zeinab Zarrabi Leonhard Rist, Florian Goldmann, Andreas Maier
Deep Learning-Based Analysis of Thermographic Mold Images for Quality Prediction in Aluminum Die Casting Dominique Thummerer Linda-Sophie Schneider
Generalization of Self-Supervised Vision Models in Image Retrieval Marius Kern Linda-Sophie Schneider, Mathias Zinnen
Deep Learning Approaches for Dynamic Modeling of Hydrogen Fuel Cells in Hybrid Railway Vehicles – Siming Bayer, Changhun Kim
Prediction of CBCT Image Quality based on Fluoro Scout Images Tobias Riß Joshua Scheuplein
Agentic Radiology Report Generation Muhammad Faizan Kazi Lukas Buess, Linda-Sophie Schneider, Andreas Maier
Automated calibration of the scan trajectory in dedicated breast CT with circle-spiral trajectory Tobias Martini Linda-Sophie Schneider, Chengze Ye, Andreas Maier

2029

Unpublished Publications

2027

Journal Articles

2026

Journal Articles

Conference Contributions

Unpublished Publications

2025

Journal Articles

Conference Contributions

2024

Journal Articles

Conference Contributions

2023

Journal Articles

Book Contributions

Conference Contributions

2022

Journal Articles

Conference Contributions

Thesis

Miscellaneous

2021

Journal Articles

Conference Contributions

2020

Journal Articles

Conference Contributions

2019

Journal Articles

Conference Contributions

2018

Journal Articles

Book Contributions

Conference Contributions

2017

Journal Articles

Conference Contributions

2016

Journal Articles

Conference Contributions

2015

Conference Contributions

  • 2026 – ARVO Foundation Travel Grant (Association for Research in Vision and Ophthalmology)
  • 2026 – Best Poster Award - Pattern Recognition Symposium 2026 (Pattern Recognition Lab)
  • 2025 – Exceptional Reviewer for Translational Vision Science & Technology (Editorial Board of Translational Vision Science & Technology (ARVO journal))
    More about this award

    https://tvst.arvojournals.org/article.aspx?articleid=2810680

  • 2025 – SynthRAD2025 1st place (Task2) (MICCAI SynthRAD2025 Organizer)
  • 2023 – Scholarship - Max Weber-Programm (Elitenetzwerk Bayern)
  • 2021 – ARVO International Travel Grant (Association for Research in Vision and Ophthalmology)
  • 2021 – Editor's Pick in Biomedical Optics Express (Editorial Board of Biomedical Optics Express (Optica journal))
    More about this award

    https://opg.optica.org/boe/fulltext.cfm?uri=boe-12-1-125

  • 2020 – Exceptional Reviewer for Investigative Ophthalmology & Visual Science (Editorial Board of Investigative Ophthalmology & Visual Science (ARVO journal))
    More about this award

    https://cris.fau.de/converis/mypages/browse/Award/366419041

  • 2020 – Semikron Student Award (Semikron Danfoss Elektronik GmbH & Co. KG)
  • 2020 – Best Paper Award of 5th International Conference on Water Sciences
    More about this award

    Best Paper Award of 5th International Conference on Water Sciences for the paper entitled with" Implications of Experiment Set-Ups for Residential Water End-Use Classification"

    experiment set-ups for residential water end-use classification"

  • 2018 – Scholarship - Konrad-Adenauer-Stiftung (Konrad-Adenauer-Stiftung e.V.)
  • 2017 – 1st place on BR41N.IO Brain-computer Interface Hackathon (g.tec medical engineering)
    More about this award

    1st place winner of BR41N.IO Brain-computer Interface Hackathon in Linz, Austria

  • 2016 – Full stipend for visiting researcher at Beijing University (Chinese Scholarship Council)
    More about this award

    Full stipend for visiting researcher granted by Chinese Scholarship Council for research stay in China

  • 2015 – 3rd Winner of Healthcare Innovation Camp 2015 (Medical Valley EMN)
    More about this award

    3rd place on Healthcare Innovation Camp, hosted by Medical Valley EMN, Erlangen, Germany


Contacts


IPA group photo July 2026
IPA group photo July 2025
IPA group photo July 2024

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