Learning Algorithms for Medical Big Data Analysis (LAMBDA)

The Learning Algorithms for Medical Big Data Analysis (LAMBDA) group is a research group within FAU’s Pattern Recognition Lab (Lehrstuhl für Mustererkennung), led by Prof. Andreas Maier. The group applies advanced machine learning and deep learning methods to multi-modal medical imaging data, with the overarching goal of improving clinical decision-making. Its current research spans identifying malignant tumor subtypes in breast cancer, linking image-based features to gene expression and disease progression, and exploring novel therapeutic strategies such as immune cell guidance and response activation.

Its project portfolio reflects this breadth: digitalizing clinical data using graph databases to make heterogeneous hospital records more usable for clinical staff (funded by the Bavarian Ministry of Economic Affairs), a multi-modal, multi-scale imaging framework for early breast cancer diagnosis, deep learning methods for multi-modal cardiac MR image analysis and quantification (DAAD-funded), and deep learning–based segmentation and landmark detection on X-ray images to support trauma surgery (funded by Siemens). The group also connects closely with FAU’s broader work in generative AI and image analysis, and hosts the λ (Lambda) Colloquium, a recurring seminar series where members and invited guests present and discuss ongoing work.

33 members · 3 open topics · 19 running theses

Annette Schwarz, M. Sc.

Annette Schwarz, M. Sc.

Research associates

 09.132,  09
annette.schwarz@fau.de
+4991318527874

Chang Liu

Chang Liu

Research associates

chang.ch.liu@fau.de

Daiqi Liu

Daiqi Liu

Research associates

 10.138,  10
daiqi.deutschfau.liu@fau.de
+4991318527882

Dr. Tri-Thien Nguyen

Dr. Tri-Thien Nguyen

Research associates

 09.157,  09
tri-thien.nguyen@fau.de
+4991318527891

Eduardo Castaneda

Research associates

 10.136,  10
eduardo.castaneda@fau.de
+4991318527799

Farid Tasharofi

Farid Tasharofi

PhD Student

 10.134
farid.tasharofi@fau.de

Franziska Weber, M.Sc.

Franziska Weber, M.Sc.

PhD Student

 09.158,  09
franziska.fw.weber@fau.de

Mingxuan Gu, M. Sc.

Mingxuan Gu, M. Sc.

Research associates

 09.155,  09
mingxuan.gu@fau.de
+4991318525247

Saahil Islam, M. Sc.

Saahil Islam, M. Sc.

Research associates

 09.156,  09
saahil.islam@fau.de
+4991318528977

Current Theses & Projects

Title Student Supervisors
Uncertainty-Aware Quality Control for Multi-Structure 2D Echocardiography Segmentation Adarsh Raghunath, Andreas Maier
Multi-Task Learning for ECG Analysis with Self- and Semi-Supervised Representation Learning Mehran Pashaei Tomás Arias Vergara, Sheethal Bhat
PseudoMed-IQA: Radiologist Guided Pseudo Reference Modeling for Reference Free Medical MRI Image Quality Assessment Dr. Tri-Thien Nguyen, Andreas Maier
Physics-Informed Echo-to-CT Synthesis for 3D LAA Reconstruction Shivam Chaudhary Adarsh Raghunath, Andreas Maier
Few shot classification using Patch-CLIP on Mammograms Mahmoud Afifi Sheethal Bhat
Extending Patch-CLIP to unsupervised detection Weijun Dou Sheethal Bhat
Automated Template Filling for Abdominal CT Reports Using Language Models Siqi Chen Lukas Buess, Andreas Maier
Alzheimers subtype classification and analysis Fayaiz Uddin Paula Andrea Pérez-Toro, Sheethal Bhat
Analysis of Learning Dynamics in HORN-based Convolutional Neural Networks for Computer Vision Mariia Svimonishvili Michael S. Simo, M. Sc.
A Multimodal Foundation Model for Radiation Therapy Nihal Verma Annette Schwarz, M. Sc., Lukas Buess, Andreas Maier
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
Label‑Efficient Stroke Onset Time Estimation via Proxy Tasks on Non‑Contrast CT Ahmed Hossam Mohamed Khalil Linda Vorberg, Andreas Maier
Development of a Local LLM Agent System for Clinical Expert Support and Automation in MRI Planning for Radiation Therapy Ali Bagherzadeh Annette Schwarz, M. Sc., Andreas Maier
Improving Weak Localization in Chest X-Ray Vision–Language Models Using Anatomy-Aware and Semi-Supervised Refinement Harshvardhan Agarwal Sheethal Bhat
Agentic Radiology Report Generation Muhammad Faizan Kazi Lukas Buess, Linda-Sophie Schneider, Andreas Maier
A Unified Vision–Language Model for Joint Radiological Image Modalities Mohamed Hassan Elhassan Mohamed Aly Oraby Lukas Buess, Andreas Maier
Privacy-Preserving Structured Chest X-Ray Report Generation using Multimodal Large Language Models within a Federated Learning Framework MD Badhon Miah Lukas Buess, Andreas Maier
Improved Zero-shot Pathology detection in medical images Atharv Dharmadhikari Sheethal Bhat
Latent Diffusion Model for CT Synthesis Dinuo wei Chang Liu, Andreas Maier

2026

Journal Articles

Conference Contributions

Unpublished Publications

2025

Journal Articles

Conference Contributions

Miscellaneous

2024

Journal Articles

Conference Contributions

Miscellaneous

2023

Journal Articles

Conference Contributions

2022

Journal Articles

Conference Contributions

2021

Journal Articles

Conference Contributions

Miscellaneous

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

Journal Articles

2008

Conference Contributions

  • 2023Best Masters thesis in ICT-Media systems (Siemens-Healthineers)
    More about this award

    Best Master's thesis in Information Communication Theory Department (Media systems)

  • 20233rd Place - Best Paper Award (2023 IEEE International Conference on Biomedical and Health Informatics (BHI))
    Linda Vorberg, Siri Pflüger, Robert Richer, Katharina Jäger, Arne Küderle, Nicolas Rohleder, Björn Eskofier
  • 2013Divisional Recognition Award (Intel Inc. USA)
  • 2012Divisional Recognition Award (Intel Inc. USA)
  • 2009Spontaneous Recognition Award (Intel Inc. USA)
  • 2006Customer Thanks Award (IBM India)
  • 2006IBM Bravo Award (IBM India)
  • 2006Customer Satisfaction Award (IBM India)


Relations to other fields of research