The Research Platform Medical Imaging (RPMI) Festival 2026 took place on 9 June 2026 at the Van Swieten Saal, Medical University of Vienna. The one‑day event brought together researchers, clinicians, and industry partners to discuss the latest advances in medical imaging. Under the theme “Shaping the Force: An Alliance in Imaging,” the festival highlighted innovative approaches that connect imaging technologies with data science and clinical applications to drive future diagnostics and therapies.
Ass.-Prof. Dr. Sepideh Hatamikia and her research group made a strong contribution to this event. The group presented six posters at the event, and one of them received the RPMI Festival Best Poster Award.
The award-winning poster, entitled “A Deep Learning Pipeline for PAM50 Subtype Classification Using Histopathology Images and Multi-Objective Path Selection,” is a project carried out by MSc Arezoo Borji as part of her PhD research which is led by Ass.-Prof. Dr. Sepideh Hatamikia (Principal Investigator) with contribution of Prof. h.c. Gernot Kronreif and Univ. Prof. Wolfgang Birkfellner. The work represents a highly interdisciplinary and international collaboration between ACMIT – Austrian Center for Medical Innovation and Technology; Danube Private University (DPU), Austria; Medical University of Vienna, Austria; The University of Texas MD Anderson Cancer Center (USA); Patho im Zentrum, St. Pölten, Austria; the Institute for Systems and Robotics (ISR-Lisboa/LARSyS), Instituto Superior Técnico, University of Lisbon; and BreastScreening-AI.
The other five posters presented by members of her research group, including ACMIT contributions, were:
• Deep Learning-Based Non-Rigid Volume-to-Surface Registration for Brain Shift Compensation Using Point Clouds (First author: Eashrat Jahan Muniya, Last author: Sepideh Hatamikia)
• An ROI-Driven Source-Detector Fusion Trajectory for Field-of-View (FOV) Expansion in Dental CBCT Imaging (First author: S. M. Ragib Shahriar Islam, Last author: Sepideh Hatamikia)
• Multimodal Connectome Fusion via Cross-Attention for Autism Spectrum Disorder Classification Using Graph Learning (First author: Ansar Rahman, Last author: Sepideh Hatamikia)
• A Unified Deep Learning Framework for Ovarian Ultrasound Classification (First author: Mehran Ahmad, Last author: Sepideh Hatamikia)
• Automatic Parameter Optimization Framework for Iterative Reconstruction Using a Search-Space-Aware Crow Search Algorithm (First author: Poorya MohammadiNasab, Last author: Sepideh Hatamikia)
ACMIT congratulates on this great achievement!
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