Publications
Explore our latest research and discover how researchers use the ImFusion platform in their work.
Latest Highlights
A selection of our latest research and publications
DualTrack
Sensorless 3D ultrasound needs local and global context – Winner of the TUS-REC 2025 challenge
LiteTracker
Leveraging temporal causality for accurate low-latency tissue tracking
FLex
Joint pose and dynamic radiance fields optimization for stereo endoscopic videos
Beyond Shadows
Learning physics-inspired ultrasound confidence maps from sparse annotations
Since ImFusion’s founding in 2012, we have published 83 papers.
75+
Publications 2012-2026
Publications
Explore publications from our team and the wider research community using ImFusion technology.
Research at ImFusion
Advancing medical imaging through our own research.
Our team actively contributes to research in medical image computing, developing new methods and exploring their application to real-world medical challenges. Much of this work is carried out together with academic, clinical and industry partners and presented at leading conferences and in scientific journals.
Community publications
Discover research built with ImFusion.
Researchers around the world use the ImFusion platform in their own work, from medical image analysis and AI to navigation, robotics and image-guided interventions. Here, we highlight publications from the wider research community that use ImFusion software, showing the many different ways our technology supports academic research.
Research at ImFusion
2026
Extending the Field of View in Modulation-Based X-Ray Phase Microtomography
D. John, J. Chen, C. Gaßner, S. Savatović, L. M. Petzold, S. Wirtensohn, M. Riedel, J. U. Hammel, J. Moosmann, F. Beckmann, M. Wieczorek, J. Herzen; IEEE Transactions on Image Processing, 2026
2025
2D-3D deformable image registration of histology slide and micro-CT with DISA-based initialization
J. Chen, M. Ronchetti, V. Stehl, V. Nguyen, M. Al Kallaa, M. T. Gedara, C. Lölkes, S. Moser, M. Seidl & M. Wieczorek; Scientific Reports, 2025
M.-H. Laves, S. Schuler, A. Abbas, D. Paik, R. Prevost, O. Zettinig; Medical Imaging with Deep Learning – Short Papers, 2025
Why is Patch Size Important? Dealing with Context Variability in Segmentation Networks
M. B. Sanchez, S. Joutard, M. F. Azampour, R. Prevost; Medical Imaging with Deep Learning – Short Papers, 2025
Visual-Haptic Model Mediated Teleoperation for Remote Ultrasound
D. Black, M. Tirindelli, S. Salcudean, W. Wein, M. Esposito; arXiv:2502.07922, 2025
2024
DynaMoN: Motion-Aware Fast and Robust Camera Localization for Dynamic Neural Radiance Fields
N. Schischka, H. Schieber, M. A. Karaoglu, M. Görgülü, F. Grötzner, A. Ladikos, D. Roth, N. Navab, B. Busam; IEEE Robotics and Automation Letters, 2024
Deep Spectral Methods for Unsupervised Ultrasound Image Interpretation
O. Tmenova, Y. Velikova, M. Saleh, N. Navab; International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2024
D. John, J. Chen, C. Gaßner, S. Savatović, L. M. Petzold, S. Wirtensohn, M. Riedel, J. U. Hammel, J. Moosmann, F. Beckmann, M. Wieczorek, J. Herzen; arXiv preprint arXiv:2408.00482, 2024
HyperSpace: Hypernetworks for Spacing-Adaptive Image Segmentation
S. Joutard, M. Pietsch, R. Prevost; International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2024
Community Publications
2025
W. Ndzimbong, C. Fourniol, L. Themyr, N. Thome, Y. Keeza, B. Sauer, P.-T. Piéchaud, A. Méjean, J. Marescaux, D. George, D. Mutter, A. Hostettler, T. Collins; Scientific Data, Vol. 12, Article No. 615, 2025
M. Güven, D. A. Saygin, I. I. Uysal, G. D. Emlik; Surgical and Radiologic Anatomy, Vol. 47, No. 1, pp. 1-11, 2025
SafeRPlan: Safe deep reinforcement learning for intraoperative planning of pedicle screw placement
Y. Ao, H. Esfandiari, F. Carrillo, C. J. Laux, Y. As, R. Li, K. Van Assche, A. Davoodi, N. A. Cavalcanti, M. Farshad, B. F. Grewe, E. Vander Poorten, A. Krause, P. Fürnstahl; Medical Image Analysis, Vol. 99, pp. 103345, 2025
2024
Global registration of kidneys in 3D ultrasound and CT images
W. Ndzimbong, N. Thome, C. Fourniol, Y. Keeza, B. Sauer, J. Marescaux, D. George, A. Hostettler, T. Collins; International Journal of Computer Assisted Radiology and Surgery, pp. 1-11, 2024
Ultrasound Confidence Maps with Neural Implicit Representation
V. B. Yesilkaynak, V. G. Duque, M. Wysocki, Y. Velikova, D. Mateus, N. Navab; Annual Conference on Medical Image Understanding and Analysis, pp. 89-100, 2024
Histomolecular Validation of [18F]-FACBC in Gliomas Using Image-Localized Biopsies
B. E. Vindstad, A. J. Skjulsvik, L. K. Pedersen, E. M. Berntsen, O. S. Solheim, T. Ingebrigtsen, I. Reinertsen, H. Johansen, L. Eikenes, A. M. Karlberg; Cancers, Vol. 16, No. 14, 2024
P. Feodorovici, H. Bonsmann, P. Schnorr, D. Zalepugas, B. Bedetti, H. Menghesha, J. Schmidt, J. Arensmeyer; Zentralblatt für Chirurgie-Zeitschrift für Allgemeine, Viszeral-, Thorax-und Gefäßchirurgie, Vol. 149, No. S 01, pp. V-221, 2024
H. Yassin, J. Fehr, W. C. Lai, A. Krichevsky, A. Rakowski, C. Lippert; Medical Imaging with Deep Learning, 2024
M. C. Wong, J. P. Bennett, L. T. Leong, Y. E. Liu, N. N. Kelly, J. Cherry, K. Kloza, B. Li, S. Iuliano, J. Sibonga, et al.; npj Microgravity, Vol. 10, No. 1, p. 72, 2024