Strittmatter A, Zöllner FG. Multistep Networks for Deformable Multimodal Medical Image Registration. IEEE Access, 2024, 12, pp.82676-82692. DOI: 10.1109/ACCESS.2024.3412216 Publisher: IEEE Abstract: We proposed neural networks for deformable multimodal medical image registration that use multiple steps and varying resolutions. The networks were trained jointly in an unsupervised manner with Mutual Information and Gradient L2 loss.
... read moreYipeng Sun, Yixing Huang, Zeyu Yang, Linda-Sophie Schneider, Mareike Thies, Mingxuan Gu, Siyuan Mei, Siming Bayer, Frank G. Zöllner, and Andreas Maier “EAGLE: an edge-aware gradient localization enhanced loss for CT image reconstruction,” Journal of Medical Imaging 12(1), 014001 (22 January 2025). https://doi.org/10.1117/1.JMI.12.1.014001 Purpose We aim to enhance deep learning-based computed tomography (CT) image reconstructions.
... read moreVellala A, Mogler C, Haag F, Tollens F, Rudolf H, Pietsch F, Wängler C, Wängler B, Schoenberg SO, Froelich MF, Hertel A. Comparing quantitative image parameters between animal and clinical CT-scanners: a translational phantom study analysis. Front Med (Lausanne). 2024 Jun 5;11:1407235. doi: 10.3389/fmed.2024.1407235. Abstract Purpose: This study compares phantom-based variability of extracted radiomics features
... read moreC. D. Wörnle, R. Lutz, L. Kuntz, J. Stallkamp, M. Siegfarth, Heidelberg University, Mannheim (DE) [ISCAS-LE-59-V].A rapid calibration pipeline for robotic percutaneous interventions – how a prototype learned to be accurate.CARS 2024—Computer Assisted Radiology and Surgery. Proceedings of the 38th International Congress and Exhibition. Barcelona, Spain, June 18–21, 2024. doi: 10.1007/s11548-024-03128-9
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Anish Raj, Fabian Tollens, Anna Caroli, Dominik Nörenberg, Frank G. Zöllner. Automated prognosis of renal function decline in ADPKD patients using deep learning. Zeitschrift für Medizinische Physik,. Volume 34, Issue 2, 2024, Pages 330-342. doi:10.1016/j.zemedi.2023.08.001 Abstract An accurate prognosis of renal function decline in Autosomal Dominant Polycystic Kidney Disease (ADPKD) is crucial for early intervention.
... read moreEbner R, Lohse A, Fabritius MP, Rübenthaler J, Wängler C, Wängler B, Schirrmacher R, Völter F, Schmid HP, Unterrainer LM, Öcal O, Hinterberger A, Spitzweg C, Auernhammer CJ, Geyer T, Ricke J, Bartenstein P, Holzgreve A, Grawe F. Validation of the standardization framework SSTR-RADS 1.0 for neuroendocrine tumors using the novel SSTR‑targeting peptide [18F]SiTATE. Eur
... read moreSparks H, Rink JS, Ramakrishnan A, Sung K, Ni J, Lu DSK, Raman SS, Lee EW, Chiang J. Characterization of Microwave Generator Energy and Ablation Volumes following Transarterial Embolization in an In Vivo Porcine Liver Model. J Vasc Interv Radiol. 2024 May 14:S1051-0443(24)00339-7. doi: 10.1016/j.jvir.2024.05.005. Abstract Purpose: To characterize the relationship between ablation zone volume
... read moreSadi, F.; Holthausen, J.; Stallkamp, J.; Siegfarth, M. Development of Novel Hydraulic 3D Printed Actuator Using Electrorheological Fluid for Robotic Endoscopy. Actuators 2024, 13, 119. https://doi.org/10.3390/act13040119 Abstract Endoscopy has made a significant and noteworthy contribution to the field of medical science and technology. Nevertheless, its potential remains constrained due to the limited availability of rigid
... read moreHaag F, Hertel A, Tharmaseelan H, Kuru M, Haselmann V, Brochhausen C, Schönberg SO, Froelich MF. Imaging-based characterization of tumoral heterogeneity for personalized cancer treatment. Rofo. 2024 Mar;196(3):262-272. English. doi: 10.1055/a-2175-4622. Epub 2023 Nov 9. Erratum in: Rofo. 2023 Dec 28;: PMID: 37944935. Abstract With personalized tumor therapy, understanding and addressing the heterogeneity of malignant
... read moreGower-Fry L, Wängler C, Bartenstein P, Beyer L, Lindner S, Jurkschat K, Wängler B, Bailey JJ, Schirrmacher R. (2024) Silicon-FluorideAcceptors (SiFA) for 18F-Radiolabeling: From Bench to Bedside. Methods Mol Biol., 2729, 29-43. https://doi.org/10.1007/978-1-0716-3499-8_3 Abstract Fluorine-18 (18F) is undoubtedly one of the most frequently applied radionuclides for the development of new radiotracers for positron emission tomography
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