Conference: Innovations in non-invasive and computational imaging

Conference Title: Innovations in non-invasive and computational imaging

Chairperson: Univ.-Prof. Dr. Michael Schaub,

Inst. for Computational Network Science, Faculty 6, RWTH Aachen University,

Ahornstr. 55, 52074 Aachen;

Email: schaub@cs.rwth-aachen.de, Phone: 80-21490

Co-Chair: Univ.-Prof. Dr. med. Peter Boor, Ph.D.,

Inst. of Pathology, Faculty 10, Uniklinik RWTH Aachen, Pauwelsstr. 30, 52074 Aachen;

Email: pboor@ukaachen.de, Phone: 80-3510

Conference Date: 07 September until 09 September 2026

Venue: Super C – RWTH Aachen University, Templergraben 57, 52062 Aachen

Participants: 50-70 international participants, representing leading experts in the imaging

and associated computational community. Invitation only.

Duration: 3 days

Meeting focus: Networking & exchange, opened discussions, key-notes on concepts, all other talks/posters only unpublished data (junior researchers). No congress documentation/abstract book.

Meeting Topic & its Relevance: Diagnosing and monitoring diseases relies on a broad range of diagnostic tests, with non-invasive imaging being essential for understanding disease dynamics, especially when biomarkers are limited. These approaches are safer and facilitate longitudinal monitoring of disease and treatment, benefiting clinical trials and patient care. While some imaging techniques, like sonography, are established, others remain in preclinical or clinical testing.

Advancing novel imaging methods would offer significant advantages: earlier detection and risk stratification, non-invasive endpoints to monitor therapy, reducing invasive procedures, and precision medicine approaches. An integrative topic of all the various imaging modalities is that they produce diagnostic images. New computational approaches, including AI, represent an exciting integrative analytical approach to further improve the value of non-invasive imaging. One major challenge to move the filed forward and develop new imaging and analytical concepts is the need for strongly interdisciplinary teams. This meeting aims to bring together such leading interdisciplinary experts to advance to field, including physicists, biochemists, engineers, data scientists, and clinicians. By fostering collaboration, open datasets, and innovative analytical approaches, the meeting aims to accelerate translation from bench to bedside, improve reproducibility, and support acceptance of imaging biomarkers, ultimately improving our understanding of diseases and patient care.