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Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI2025 SIAM/ASA Journal on Uncertainty Quantification article Computer Science Medical Image Segmentation Techniques Open access
Felix Terhag, Philipp Knechtges, Achim Basermann, Raul F. Tempone
1citations -
Prediction of Poor Survival after Hematopoietic Cell Transplantation in Myelofibrosis Using Machine Learning Techniques2024 Blood conference-abstract Medicine Myeloproliferative Neoplasms: Diagnosis and Treatment Open access
Juan Carlos Hernández‐Boluda, Adrián Mosquera Orgueira, Luuk A. Gras, Linda Köster, Joe Tuffnell, Nicolaus Martin Kröger, +24 more
1citations -
Automated Segmentation of Mitochondria in Virus-Infected Cells Using Deep Learning Models2023 Microscopy and Microanalysis article Biochemistry, Genetics and Molecular Biology Cell Image Analysis Techniques Open access
Matthijs Schrage, Mario-Alin Rus, Marre Niessen, Thomas Burgoyne, Andreia Pinto
1citations -
Machine learning for liver cancer risk stratification on population-level data2024 Zeitschrift für Gastroenterologie article Medicine Hepatocellular Carcinoma Treatment and Prognosis
Jan Clusmann, P-H. Koop, Yazhou Chen, Benjamin P. M. Laevens, Kai Markus Schneider, Christian Trautwein, +2 more
1citations -
Machine Learning Highlights Association of Body Composition with Cholangiocarcinoma Mortality2025 Zeitschrift für Gastroenterologie conference-paper Medicine Cholangiocarcinoma and Gallbladder Cancer Studies
Feng Cao, Katharina Joechle, Tobias Seibel, Niharika Jakhar, Thriveni Basavanapura Raju, Carolin Victoria Schneider, +1 more
0citations -
A Machine Learning Approach to Upscale Net Ecosystem Exchange to a Regional Scale: Integration of Eddy Covariance, Remote Sensing and Reanalysis Data2020 conference-abstract Environmental Science Plant Water Relations and Carbon Dynamics Open access
Oliver Reitz, Alexander Graf, Marius Schmidt, Gunnar Ketzler, Michael Leuchner
0citations -
Restructuring Knowledge Graphs with Conceptual Models: Implications for Machine Learning Predictions in Drug Repurposing2025 Lecture notes in computer science conference-paper Computer Science Semantic Web and Ontologies Open access
César H. Bernabé, Pablo Perdomo-Quinteiro, Annika Jacobsen, Tiago Prince Sales, Núria Queralt-Rosiñach, Katherine Wolstencroft, +3 more
0citations -
Uncertainty Quantification in Machine Learning Based Segmentation: A Post-Hoc Approach for Left Ventricle Volume Estimation in MRI2023 arXiv (Cornell University) preprint Computer Science Medical Image Segmentation Techniques Open access
Felix Terhag, Philipp Knechtges, Achim Basermann, Raul F. Tempone
0citations -
Phosphorus recovery from sewage sludge ash by wet acid extraction in technical scale: Potential for reducing acid consumption2026 Journal of Cleaner Production article Environmental Science Phosphorus and nutrient management Open access
Hiep Le, Tabea Zachäus, Dennis Blöhse, David Montag, Thomas Wintgens
0citations -
Identifying physical structures in our Galaxy with Gaussian Mixture Models: An unsupervised machine learning technique2023 arXiv (Cornell University) preprint Physics and Astronomy Astrophysics and Star Formation Studies Open access
M. Tiwari, Rogier Kievit, S. Kabanovic, Lars Bonne, Fabrizio Falasca, C. Guevara, +11 more
0citations -
Rewiring of adult neural networks - learning from structural plasticity across multiple scales2026 arXiv (Cornell University) preprint Neuroscience Neuroscience and Neuropharmacology Research Open access
Michael Fauth, Han Lu, Jannik Luboeinski, Johanna Senk, Simone Albani, Valentina Armuzza, +33 more
0citations -
Prediction of Severe Gastrointestinal Bleeding Events in Hemodialysis: Collaborative Development of Machine Learning Model Within INSPIRE2021 Journal of the American Society of Nephrology conference-abstract Medicine Dialysis and Renal Disease Management
Suman Kumar Lama, Sheetal Chaudhuri, Joanna L. Willetts, John W. Larkin, Anke C. Winter, Manuela Stauss‐Grabo, +6 more
0citations -
Exploring the Potential of Retrieval Augmented Generation for Question Answering in Radiology: Initial Findings and Future Directions2025 Studies in health technology and informatics book-chapter Medicine Artificial Intelligence in Healthcare and Education Open access
Yongli Mou, Robert Malte Siepmann, D. Truhn, Sulayman K. Sowe, Stefan Decker
0citations