C. 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 moreStrittmatter A, Schad LR, Zöllner FG. Deep Learning-Based Affine Medical Image Registration for Multimodal Minimal-Invasive Image-Guided Interventions – A Comparative Study on Generalizability. Z Med Phys, 2024, 34 (2), pp.291-317. https://doi.org/10.1016/j.zemedi.2023.05.003 Abstract Multimodal image registration is applied in medical image analysis as it allows the integration of complementary data from multiple imaging modalities. In recent
... 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 moreÖzdemir S, Ilicak E, Zapp J, Schad LR, Zöllner FG. Feasibility of undersampled spiral trajectories in MREPT for fast conductivity imaging. Magn Reson Med, 2024, 91 (4), pp.1567-1575 PMID: 38044757DOI: 10.1002/mrm.29952 Abstract Purpose: To investigate spiral-based imaging including trajectories with undersampling as a fast and robust alternative for phase-based magnetic resonance electrical properties tomography (MREPT)
... 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 moreCordes, J., Enzlein, T., Hopf, C., & Wolf, I. (2024). pyM2aia: Python interface for mass spectrometry imaging with focus on deep learning. Bioinformatics, 40(3), btae133. https://doi.org/10.1093/bioinformatics/btae133 Abstract Summary Python is the most commonly used language for deep learning (DL). Existing Python packages for mass spectrometry imaging (MSI) data are not optimized for DL tasks. We, therefore, introduce
... 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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