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High-Throughput FPGA-Based Inference of Gradient Tree Boosting Models for Position Estimation in PET Detectors2023 IEEE Transactions on Radiation and Plasma Medical Sciences article Physics and Astronomy Radiation Detection and Scintillator Technologies Open access
Karl Krueger, Florian Mueller, Pierre Gebhardt, Bjoern Weissler, David Schug, Volkmar Schulz
17citations -
High throughput software-based gradient tree boosting positioning for PET systems2021 Biomedical Physics & Engineering Express article Physics and Astronomy Radiation Detection and Scintillator Technologies Open access
Christian Wassermann, Florian Mueller, Thomas Dey, Janko Lambertus, David Schug, Volkmar Schulz, +1 more
8citations -
Modeling Postoperative Mortality in Older Patients by Boosting Discrete-Time Competing Risks Models2023 Journal of the American Statistical Association article Mathematics Statistical Methods and Inference Open access
Moritz Berger, Ana Kowark, Rolf Rossaint, Mark Coburn, Matthias C. Schmid
1citations -
Euclid: Identifying the reddest high-redshift galaxies in the Euclid Deep Fields with gradient-boosted trees2024 Astronomy and Astrophysics article Physics and Astronomy Galaxies: Formation, Evolution, Phenomena Open access
Theosamuele Signor, Laura Bisigello, M. Bolzonella, K. I. Caputi, Emanuele Daddi, G. De Lucia, +92 more
7citations -
Mapping tree species diversity across the Amazon using remote sensing, diverse environmental data and machine learning2026 International Journal of Applied Earth Observation and Geoinformation article Environmental Science Remote Sensing in Agriculture Open access
Shoyo Nakamura, Nandin‐Erdene Tsendbazar, Hans ter Steege, Lars Hein, Jannik Schultner
0citations -
Machine learning for developing a prediction model of hospital admission of emergency department patients: Hype or hope?2021 International Journal of Medical Informatics article Medicine Emergency and Acute Care Studies Open access
Anne de Hond, Wouter Raven, Laurens Schinkelshoek, Menno Iskander Gaakeer, Ewoud ter Avest, Özcan Sir, +7 more
69citations -
Tree-based algorithms for weakly supervised anomaly detection2024 Physical review. D/Physical review. D. article Physics and Astronomy Particle physics theoretical and experimental studies Open access
Thorben Finke, Marie Hein, Gregor Kasieczka, Michael Krämer, Alexander Mück, Parada Prangchaikul, +3 more
28citations -
Methodological choices influence machine learning performance for predicting intracranial hypertension in traumatic brain injury2026 Scientific Reports article Medicine Traumatic Brain Injury and Neurovascular Disturbances Open access
C. R. van Kaam, Cornelia Hoedemaekers, Kim J.M. Bladder, Johannes G. van der Hoeven, Jeanette Tas, Marcel J H Aries, +39 more
0citations -
Predicting neurological outcomes following spinal surgery: A machine learning approach using intraoperative neuromonitoring data2026 North American Spine Society Journal (NASSJ) article Medicine Intraoperative Neuromonitoring and Anesthetic Effects Open access
Tamir Themans, Valerie ter Wengel, Saskia van der Gaag, Justin Dauwels, Ruit Mark van de, Niels Anthony Van Der Gaag
0citations -
Empirical analyses and simulations showed that different machine and statistical learning methods had differing performance for predicting blood pressure2022 Scientific Reports article Health Professions Artificial Intelligence in Healthcare Open access
Peter C. Austin, Frank E. Harrell, Douglas S. Lee, Ewout Willem Steyerberg
13citations -
Global models and predictions of plant diversity based on advanced machine learning techniques2022 New Phytologist article Environmental Science Ecology and Vegetation Dynamics Studies Open access
Lirong Cai, Holger Kreft, Amanda Taylor, Pierre Denelle, Julian Schrader, Franz Essl, +19 more
197citations -
Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury2020 Journal of Clinical Epidemiology article Medicine Traumatic Brain Injury and Neurovascular Disturbances Open access
Benjamin Yaël Gravesteijn, Daan Nieboer, Ari Ercole, Hester Floor Lingsma, David Nelson, Ben Van Calster, +90 more
198citations -
Predicting ICU Mortality in Acute Respiratory Distress Syndrome Patients Using Machine Learning: The Predicting Outcome and STratifiCation of severity in ARDS (POSTCARDS) Study*
Jesús Villar, Jesús María González-Martín, Jerónimo Hernández-González, Miguel Ángel Armengol de la Hoz, Cristina Fernández, Carmen Martín-Rodríguez, +14 more
67citations -
A semi‐monolithic detector providing intrinsic DOI‐encoding and sub‐200 ps CRT TOF‐capabilities for clinical PET applications2022 Medical Physics article Physics and Astronomy Radiation Detection and Scintillator Technologies Open access cited by 1 patent
Florian Mueller, Stephan Naunheim, Yannick Kuhl, David Schug, Torsten Solf, Volkmar Schulz
52citations