Zobrazeno 1 - 10 of 683 pro vyhledávání: '"Hahn, Tim"'
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Report
Towards Population Scale Testis Volume Segmentation in DIXON MRI
Autor: Ernsting, Jan, Beeken, Phillip Nikolas, Ogoniak, Lynn, Kockwelp, Jacqueline, Hahn, Tim, Busch, Alexander Siegfried, Risse, Benjamin
Testis size is known to be one of the main predictors of male fertility, usually assessed in clinical workup via palpation or imaging. Despite its potential, population-level evaluation of testicular volume using imaging remains underexplored. Previo
Externí odkaz: http://arxiv.org/abs/2410.22866
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3
Report
pyAKI -- An Open Source Solution to Automated KDIGO classification
Autor: Porschen, Christian, Ernsting, Jan, Brauckmann, Paul, Weiss, Raphael, Würdemann, Till, Booke, Hendrik, Amini, Wida, Maidowski, Ludwig, Risse, Benjamin, Hahn, Tim, von Groote, Thilo
Acute Kidney Injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KD
Externí odkaz: http://arxiv.org/abs/2401.12930
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4
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GateNet: A novel Neural Network Architecture for Automated Flow Cytometry Gating
Autor: Fisch, Lukas, Heming, Michael O., Schulte-Mecklenbeck, Andreas, Gross, Catharina C., Zumdick, Stefan, Barkhau, Carlotta, Emden, Daniel, Ernsting, Jan, Leenings, Ramona, Sarink, Kelvin, Winter, Nils R., Dannlowski, Udo, Wiendl, Heinz, Hörste, Gerd Meyer zu, Hahn, Tim
Flow cytometry is widely used to identify cell populations in patient-derived fluids such as peripheral blood (PB) or cerebrospinal fluid (CSF). While ubiquitous in research and clinical practice, flow cytometry requires gating, i.e. cell type identi
Externí odkaz: http://arxiv.org/abs/2312.07316
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5
Report
DenseNet and Support Vector Machine classifications of major depressive disorder using vertex-wise cortical features
Autor: Belov, Vladimir, Erwin-Grabner, Tracy, Zeng, Ling-Li, Ching, Christopher R. K., Aleman, Andre, Amod, Alyssa R., Basgoze, Zeynep, Benedetti, Francesco, Besteher, Bianca, Brosch, Katharina, Bülow, Robin, Colle, Romain, Connolly, Colm G., Corruble, Emmanuelle, Couvy-Duchesne, Baptiste, Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher G., Dols, Annemiek, Ernsting, Jan, Evans, Jennifer W., Fisch, Lukas, Fuentes-Claramonte, Paola, Gonul, Ali Saffet, Gotlib, Ian H., Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Hahn, Tim, Hamilton, J. Paul, Han, Laura K. M., Harrison, Ben J, Ho, Tiffany C., Jahanshad, Neda, Jamieson, Alec J., Karuk, Andriana, Kircher, Tilo, Klimes-Dougan, Bonnie, Koopowitz, Sheri-Michelle, Lancaster, Thomas, Leenings, Ramona, Li, Meng, Linden, David E. J., MacMaster, Frank P., Mehler, David M. A., Meinert, Susanne, Melloni, Elisa, Mueller, Bryon A., Mwangi, Benson, Nenadić, Igor, Ojha, Amar, Okamoto, Yasumasa, Oudega, Mardien L., Penninx, Brenda W. J. H., Poletti, Sara, Pomarol-Clotet, Edith, Portella, Maria J., Pozzi, Elena, Radua, Joaquim, Rodríguez-Cano, Elena, Sacchet, Matthew D., Salvador, Raymond, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Solanes, Aleix, Stein, Dan J., Stein, Frederike, Stolicyn, Aleks, Thomopoulos, Sophia I., Toenders, Yara J., Uyar-Demir, Aslihan, Vieta, Eduard, Vives-Gilabert, Yolanda, Völzke, Henry, Walter, Martin, Whalley, Heather C., Whittle, Sarah, Winter, Nils, Wittfeld, Katharina, Wright, Margaret J., Wu, Mon-Ju, Yang, Tony T., Zarate, Carlos, Veltman, Dick J., Schmaal, Lianne, Thompson, Paul M., Goya-Maldonado, Roberto
Major depressive disorder (MDD) is a complex psychiatric disorder that affects the lives of hundreds of millions of individuals around the globe. Even today, researchers debate if morphological alterations in the brain are linked to MDD, likely due t
Externí odkaz: http://arxiv.org/abs/2311.11046
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6
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Deepbet: Fast brain extraction of T1-weighted MRI using Convolutional Neural Networks
Autor: Fisch, Lukas, Zumdick, Stefan, Barkhau, Carlotta, Emden, Daniel, Ernsting, Jan, Leenings, Ramona, Sarink, Kelvin, Winter, Nils R., Risse, Benjamin, Dannlowski, Udo, Hahn, Tim
Brain extraction in magnetic resonance imaging (MRI) data is an important segmentation step in many neuroimaging preprocessing pipelines. Image segmentation is one of the research fields in which deep learning had the biggest impact in recent years e
Externí odkaz: http://arxiv.org/abs/2308.07003
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7
Report
From Group-Differences to Single-Subject Probability: Conformal Prediction-based Uncertainty Estimation for Brain-Age Modeling
Autor: Ernsting, Jan, Winter, Nils R., Leenings, Ramona, Sarink, Kelvin, Barkhau, Carlotta B. C., Fisch, Lukas, Emden, Daniel, Holstein, Vincent, Repple, Jonathan, Grotegerd, Dominik, Meinert, Susanne, Investigators, NAKO, Berger, Klaus, Risse, Benjamin, Dannlowski, Udo, Hahn, Tim
The brain-age gap is one of the most investigated risk markers for brain changes across disorders. While the field is progressing towards large-scale models, recently incorporating uncertainty estimates, no model to date provides the single-subject r
Externí odkaz: http://arxiv.org/abs/2302.05304
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8
Report
Computational Reproducibility Within Prognostics and Health Management
Autor: von Hahn, Tim, Mechefske, Chris K.
Scientific research frequently involves the use of computational tools and methods. Providing thorough documentation, open-source code, and data -- the creation of reproducible computational research -- helps others understand a researcher's work. He
Externí odkaz: http://arxiv.org/abs/2205.15489
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