Conference Agenda

AI-enabled Colorimetric Multi-Biomarker Sensing Patch for Neonatal Monitoring

Alejandra Castelblanco^1,2, Elisabetta Ruggeri³, Giusy Matzeu³, Motaharehsadat Heydarian⁴, Kai Foerster^4,5, Ahmed Bahnasy², Andreas Flemmer⁵, Julia A. Schnabel^1,2,6, Benjamin Schubert¹, Fiorenzo G. Omenetto^3,8,9, Anne Hilgendorff^4,5,7

1: Computational Health Center, Helmholtz Center Munich, Neuherberg, Germany.; 2: School of Computation, Information and Technology, Technical University of Munich, Munich, Germany.; 3: Silklab, Dept. of Biomedical Engineering, Tufts University, Medford, MA, USA.; 4: Comprehensive Pneumology Center with the CPC-M bioArchive and Institute of Lung Health and Immunity, Helmholtz Center Munich, Member of the German Center of Lung Research (DZL), Munich, Germany; 5: Dr. von Hauner Children’s Hospital, Hospital of the Ludwig-Maximilians-Universität München, Munich, Germany; 6: School of Biomedical Engineering and Imaging Sciences, King’s College London, London, UK.; 7: School of Medicine and Health Sciences, Carl von Ossietzky University Oldenburg, Oldenburg, Germany; 8: Dept. of. Electrical and Computer Engineering, Tufts University, Medford, MA, USA.; 9: Dept. Of Physics, Tufts University, Medford, MA, USA.

Implicit Neural Representation (INR) meets Multi-Contrast MRI Reconstruction

Natascha Niessen^1,2, Carolin M. Pirkl², Ana Beatriz Solana², Hannah Eichhorn^1,3, Veronika Spieker^1,3, Wenqi Huang¹, Tim Sprenger^2,4, Marion I. Menzel^2,5,6, Julia A. Schnabel^1,3,7, Predictom Consortium²

1: School of Computation, Information and Technology, Technical University of Munich, Munich, Germany; 2: GE HealthCare, Munich; 3: Institute of Machine Learning in Biomedical Imaging, Helmholtz Munich; 4: Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; 5: Technische Hochschule Ingolstadt, Ingolstadt, Germany; 6: School of Natural Sciences, Technical University of Munich, Munich, Germany; 7: King’s College London, London, United Kingdom

Deep Learning Reconstruction of Diffusion Spectrum Imaging from Undersampled q-Space Measurements

Roman Schmid¹, Sebastian Endt^1,2, Marion I. Menzel^1,2

1: Technische Hochschule Ingolstadt, Germany; 2: Technical University of Munich, Germany

HematoGraph: Graph-Aware Hierarchical Pooling for Cell-Level Hematology Classification

Furkan Dasdelen^1,3, Fatih Ozlugedik^1,2,3, Carsten Marr^1,3

1: Helmholtz Munich, Germany; 2: TUM; 3: LMU

Contour Proposal Networks with Deep Refinement for Dense High-Throughput Instance Segmentation

Eric Upschulte^1,2,3, Katrin Amunts^2,1, Timo Dickscheid^4,2,3

1: C. & O. Vogt Institute for Brain Research, University Hospital Düsseldorf, Germany; 2: Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Germany; 3: Helmholtz AI, Research Center Jülich, Germany; 4: Institute for Computational Visualistics, University of Koblenz, Germany

AI-assisted Labeling and its Pitfalls: A Case Study in Electron Microscopy Segmentation

Christina Bukas¹, Jonas Engler², Helena Pelin¹, Jonas Hagenberg¹, Haider Khan¹, Francesco Campi¹, Carola Eberhagen³, Hans Zischka^2,3, Marie Piraud¹

1: Helmholtz AI, Helmholtz Center Munich, Germany; 2: Institute of Toxicology and Environmental Hygiene, TUM School of Medicine and Health, Technical University of Munich, Germany; 3: Institute of Molecular Toxicology and Pharmacology, Helmholtz Center Munich, Germany

A decentralized Swarm Learning framework for 90-Day outcome prediction for acute ischaemic stroke

Arnab Bandyopadhyay¹, Omid Shirvani¹, Jilles Vreeken², Anna Aschenbrenner¹, Joachim Schultze¹

1: DZNE, Germany; 2: CISPA, Germany

Microsecond Latency Graph Neural Network Inference on Point Clouds

Marc Neu, Torben Ferber, Jürgen Becker

Karlsruhe Institute of Technology, Germany

GENIUS: An Agentic AI Framework for Autonomous Design and Execution of Simulation Protocols

Celso Rêgo¹, Mohammad Soleymanibrojeni², Wolfgang Wenzel¹, Roland Aydin²

1: Karlsruhe Institute of Technology, Germany; 2: Helmholtz-Zentrum Hereon

The Road to Exascale: Lessons Learned from Scaling a Scientific AI Workflow to 16,384 GPUs

Christian Schiffer^1,2, Julia Thönnißen¹, Mathis Bode³, Josh Moore⁴, Katrin Amunts^1,5, Timo Dickscheid^1,2,6

1: Institute of Neuroscience and Medicine (INM-1), Forschungszentrum Jülich (FZJ), Germany; 2: Helmholtz AI, Forschungszentrum Jülich (FZJ), Germany; 3: Jülich Supercomputing Centre (JSC), Forschungszentrum Jülich, Germany; 4: German BioImaging, Gesellschaft für Mikroskopie und Bildanalyse e.V, Konstanz, Germany; 5: Cécile & Oskar Vogt Institute for Brain Research, University Hospital Düsseldorf, Germany; 6: Computer Vision, Institute for Computational Visualistics, University of Koblenz, Germany

Video-Guided Policies for Robotic Manipulation

Cordelia Schmid

Inria, France

Helmholtz Munich: Discovering Future Health

Eleftheria Zeggini

Helmholtz Munich, Germany

Translational Genomics of Osteoarthritis

Eleftheria Zeggini

Helmholtz Munich, Germany

Reliable AI in the Age of Agentic Models

Leo Schwinn

Helmholtz Munich, Germany

Biophysics-Informed and AI-Assisted Computation for Translational Optoacoustic Imaging and Sensing

Dominik Jüstel^1,2

1: Helmholtz Munich, Germany; 2: Technical University of Munich, Germany

From Multivariate Perturbations to Predictive Models of Human Airway Function

Katzrin Murad, Benedetta Zampa, Weixu Wang, Inti De La Rosa Velázquez, Fabian Theis, Janna Nawroth

Helmholtz Zenter München GmbH, Germany

The Interaction Layer: Why the Virtual Cell Needs Biochemistry

Pascal Falter-Braun

Helmholtz Munich, Germany