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1. Constructing Confidence Intervals for 'the' Generalization Error -- a Comprehensive Benchmark Study

Author

Schulz-Kümpel, Hannah, Fischer, Sebastian, Nagler, Thomas, Boulesteix, Anne-Laure, Bischl, Bernd, and Hornung, Roman

Subjects
Statistics - Machine Learning, Computer Science - Machine Learning
Abstract

When assessing the quality of prediction models in machine learning, confidence intervals (CIs) for the generalization error, which measures predictive performance, are a crucial tool. Luckily, there exist many methods for computing such CIs and new promising approaches are continuously being proposed. Typically, these methods combine various resampling procedures, most popular among them cross-validation and bootstrapping, with different variance estimation techniques. Unfortunately, however, there is currently no consensus on when any of these combinations may be most reliably employed and how they generally compare. In this work, we conduct the first large-scale study comparing CIs for the generalization error - empirically evaluating 13 different methods on a total of 18 tabular regression and classification problems, using four different inducers and a total of eight loss functions. We give an overview of the methodological foundations and inherent challenges of constructing CIs for the generalization error and provide a concise review of all 13 methods in a unified framework. Finally, the CI methods are evaluated in terms of their relative coverage frequency, width, and runtime. Based on these findings, we are able to identify a subset of methods that we would recommend. We also publish the datasets as a benchmarking suite on OpenML and our code on GitHub to serve as a basis for further studies.

Published
2024

2. GPTopic: Dynamic and Interactive Topic Representations

Author

Reuter, Arik, Thielmann, Anton, Weisser, Christoph, Fischer, Sebastian, and Säfken, Benjamin

Subjects
Computer Science - Computation and Language
Abstract

Topic modeling seems to be almost synonymous with generating lists of top words to represent topics within large text corpora. However, deducing a topic from such list of individual terms can require substantial expertise and experience, making topic modelling less accessible to people unfamiliar with the particularities and pitfalls of top-word interpretation. A topic representation limited to top-words might further fall short of offering a comprehensive and easily accessible characterization of the various aspects, facets and nuances a topic might have. To address these challenges, we introduce GPTopic, a software package that leverages Large Language Models (LLMs) to create dynamic, interactive topic representations. GPTopic provides an intuitive chat interface for users to explore, analyze, and refine topics interactively, making topic modeling more accessible and comprehensive. The corresponding code is available here: https://github.com/ArikReuter/TopicGPT.

Published
2024

13. Insufficient fibrinogen response following free flap surgery is associated with bleeding complications

Author

Kolbenschlag, Jonas, Diehm, Yannick, Daigeler, Adrien, Kampa, David, Fischer, Sebastian, Kapalschinski, Nicolai, Goertz, Ole, and Lehnhardt, Marcus

Subjects
coagulation, free flap, microsurgery, bleeding, platelet, fibrinogen, Surgery, RD1-811
Abstract

Background: Microvascular tissue transfer has become a safe and reliable tool in the reconstructive armamentarium, yielding high success rates. However, little is known about the changes in coagulation after free tissue transfer and their potential impact on morbidity.Methods: Fibrinogen concentration and platelet count among other values were available and assessed in 139 undergoing free tissue transfer before, immediately after, and 1–3 as well as 8–11 days after surgery. In patients undergoing urgent revision for either bleeding or microvascular thrombosis, blood samples were drawn directly before re-exploration. Results: In the patients without any surgical revision and in those with thrombosis of the microvascular pedicle, both fibrinogen concentration and platelet count increased significantly during the early and late post-operative window. Patients that developed bleeding necessitating re-exploration showed an inadequate increase in fibrinogen levels, resulting in significantly lower concentrations compared to the other two groups. There were no significant differences in platelet count or PTT between these groups.Conclusion: Free flap surgery induces acute and subacute changes in coagulation, comparable to other major surgeries and severe injuries. This leads to an increase in platelet count and fibrinogen over the post-operative course. Patients that developed bleeding requiring surgical re-exploration showed an insufficient increase in fibrinogen, resulting in significantly lower fibrinogen levels. Therefore, monitoring and correction of fibrinogen levels might aid in preventing or treating bleeding complications following free flap surgery.

Published
2016
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15. Endovascular thrombectomy for acute ischaemic stroke with established large infarct (TENSION): 12-month outcomes of a multicentre, open-label, randomised trial

Author

Aamodt, Anne Hege, Adamczewski, Olaf, Alektoror, Kirill, Alexander, März, Alexandrou, Maria, Alias, Quentin, Al-Kuzae, Fadha Elawi, Allard, Julien, Al-Schameri, Rahman, Álvarez, Alberto, Andersen, Grethe, AnkerlundBlaufeldt, Rolf, Antje, Riedel, Appelbohm, Hannes, Argren, Maria, Assmann, Anne, Augustin, Michael, Bach, Elke, Bar, Michal, Barleben, Maria, Baronnet, Flore, Barrios, Andrés, Bavúzová, Xénia, BayThomsen, Rikke, Becker, Sandra, Beer, Sylvia, Behme, Daniel, Bellut, Maximilian, Bendszus, Martin, Berkefeld, Joachim, Bester, Maximillian, Bode, Felix J., Boehme, Christian, Boese, Ramona, Bohmann, Ferdinand, Bonekamp, Susanne, Borggrefe, Jan, Boss, Erendira Gabriela, Boutchakova, Maria, Boxhammer, Elfi, Brandhofe, Annemarie, Breckwoldt, Michael, Brekenfeld, Casper, Brehm, Alex, Brem, Christian, Breuer, Stella, Breyer, Tobias, Brodová, Petra, Broocks, Gabriel, Brosinski, Christoph, Bubel, Nele, Búřil, Jiří, Čábal, Martin, Casado, Laura, de Celis, Elena, Chabert, Emmanuel, Charisse, Daniel, Cheng, Bastian, Chovanec, Vendelín, Cidlinsky, Peter, Cisár, Juraj, Clarençon, Fréderic, Crozier, Sophie, Čurdová, Nina, Damaskinos, Michele, Damgaard, Dorte, Daniš, Martin, Dazinger, Florian, Deb-Chatterji, Milani, Delalic, Asima, Delekta, Agnieszka, Delorme, Stephen, Deutschmann, Hannes, Diamandis, Elie, Diedrichsen, Tove, Doležalová, Irena, Dorn, Franziska, du Mesnil de Rochemont, Richard, DupontHougaard, Kristina, Ebrahimi, Taraneh, Eff, Florian, Eliášová, Ilona, Enriquez, Brian, Ergawy, Mostafa, Essig, Fabian, Falkesgaard, Maiken, Fandler-Höfler, Simon, Fernández, Andrés, Ferré, Jean-Christophe, Ferrier, Anna, Fiehler, Jens, Figlewski, Krystian, Fischer, Sebastian, Fischer, Urs, Flottmann, Fabian, Forbrig, Robert, Förch, Christian, Fromm, Annette, Fuentes, Blanca, Gaedke, Ines, Galczak, Romana, Galijasevic, Malik, Ganser, Bernhard, Gattringer, Thomas, Gawlitza, Matthias, Gelhard, Sarah, Gellißen, Susanne, Gerber, Johannes, Giannakakis, Michail Panagiotis, Gindlhuber, Karin, Gizewski, Elke R., Glodny, Bernhard, Godel, Tim, Goebell, Einar, Goldemund, David, Görtler, Michael, Goyal, Mayank, Grams, Astrid E., Gruber, Joachim, Gruber, Katharina, Günthner-Lengsfeld, Thomas, Haase, Kathrin, Hacker-Ivan, Floriana, Hallerstig, Erika, Hametner, Christian, Hanning, Uta, Haring, Jozef, Haršány, Michal, Haršány, Ján, Hartmann, Christian, Hassler, Eva Maria, Hauptmann, Kristina, Haeusler, Karl Georg, Hecker, Constantin, Hellstern, Victoria, Henkes, Hans, Hernández, Victoria, Herweh, Christian, Hilgenfeld, Tim, Hill, Michael D., Hjort, Niels, HjortJensen, Nina, Hoelter, Maya, Hoffmann, Karl-Titus, Holst, Brigitte, Holtmannspoetter, Markus, Hopf-Jensen, Silke, Hoppe, Julia, Horner, Susanne, HougaardSoerensen, Leif, Hua, Vi Tuan, Hubert, Alexander, Hurtíková, Eva, Jakubíček, Stanislava, Janjic, Tanja, Jaramillo, Kirsten, Jedlitschka, Angela, Jensen, Schiela, Jensen, Märit, Jesser, Jessica, Jestaedt, Leonie, Johnson, Sabine, Jonszta, Tomáš, Kalmar, Peter, Karabegovic, Sanja, Karen, Kollo, Kastrup, Andreas, Katja, Hopp, Keeba, Natalia, Keese, Petra, Kefaloykos, Christina, Keil, Fee, Kellert, Lars, Kellinghaus, Christoph, Kestner, Roxane-Isabelle, Kiechl, Stefan, Killer-Oberpfalzer, Monika, Klepanec, Andrej, Knispel, Casjupea, Knoflach, Michael, Kohler, Sabine, Kohlhase, Konstantin, Kollikowski, Alexander Marco, Kovář, Martin, Krajina, Antonín, Kral, Michael, Krastev, Georgi, Krause, Lars Udo, Kreidenhuber, Rudolf, Křivka, Tomáš, Krkoška, Adam, Kröger, Jan Robert, Kronlage, Moritz, Krukowski, Pawel, Kühn, Julia, Kurča, Egon, Kurka, Natalia, Kuschnerow, Michael, Lachmund, Rita, Lamprecht, Susanne, Lange, Rüdiger, Lauer, Monika, de Leciñana, Alonso, Leder, Sara, Leger, Anne, Lehnen, Nils, Lehrieder, Dominik, Leißner, Maximilian, Leitinger, Markus, Leitner, Ursula, Lenck, Stéphanie, Lenzenweger, Eva, Liebig, Thomas, Lowens, Stephan, Lunzer, Manuel, Maegerlein, Christian, Magyar, Marton, Marques, Leonardo, Matyáš, David, Maurer, Gabriele, Mauritz, Matthias, Maximilian, Thormann, Mayer-Süß, Lukas, Meckel, Stephan, Medek, Oldřich, Meissner, Julius N., Mencl, Pavel, Merkle, Andrea, Mesche, Birte, Michalski, Dominik, Mikulík, Robert, Modrau, Boris, Möhlenbruch, Markus A., Mohr, Alexander, Mönninghoff, Christoph, Moser, Tobias, Mücke, Ramona, Müller-Hülsbeck, Stefan, Müller-Thies-Broussalis, Erasmia, Mutzenbach, Sebastian, Navia, Pedro, Neuberger, Ulf, Neugebauer, Hermann, Neumann, Jens, Nguyên, Anh, Niederkorn, Kurt, Nosál', Vladimír, Novobilský, Richard, Ntoulias, Nikos, Nussbaum, Lukas, Oder, Joanna, Oldag, Andreas, Ondrejkovič, Marián, Otto, Ferdinand, Otto, Dagmar, Paech, Daniel, Pagano, Paolo, Pallesen, Lars-Peder, Panský, Michal, Papanagiotou, Panagiotis, Patrick, Samp, Paukisch, Harald, Pelz, Johann, Petersen, Inga, Petersen, Martina, Petzold, Gabor C., Pfaff, Johannes, Pfeilschifter, Waltraud, Pham, Mirko, Pichler, Alexander, Pierot, Laurent, Pikija, Slaven, PlougmannPovlsen, Jan, Polkowski, Christoph, Polomac, Nenad, Portugaller, Rupert Horst, Poulsen, Marika, Preiß, Michael, Premat, Kévin, Prestsæter, Sjur, Prieto-Pérez, Rocio, Psychogios, Marios, Puetz, Volker, Purrucker, Jan, Rai, Heike, Rauch, Maximilian, Raupach, Jan, Reimann, Gernot, Reimann, Georg, Reitz, Sarah, Renc, Ondřej, Retzlaff, Jasmin, Rigual, Ricardo, Ringleb, Peter Arthur, Rivera-Bengoa, Carlota, Rodríguez, Jorge, Rohde, Stefan, Rohler, Siegfried, Rosso, Charlotte, Roth, Christian, Röttcher, Thomas, Roubec, Martin, Roztočilová, Milada, Rudnicka, Svetlana, Ruiz, Gerardo, Ryan, Stephen, Ryckborst, Karla J., Sandvik, Simen, Schäfer, Jan-Hendrik, Schaller-Paule, Martin, Schell, Maximillian, Schellinger, Peter, Schlemm, Eckhard, Schmid, Florian, Schmidt, Christoph, Schmitz, Marie Louise, Schneider, Claus, Scholtz, Jan-Erik, Schönenberger, Silvia, Schröter, Andreas, Schwarz, Daniel, Schwarz, Stephan, Schwarzenhofer, Daniel, Seifert-Held, Thomas, Seiler, Alexander, Seker, Fatih, Shotar, Eimad, Simonsen, Claus Z., Simonsen, Maria Theresa, Sivák, Jozef, Skagen, Karolina, Skjelland, Mona, Šnajdrová, Alena, Solymosi, Lazlo, Sømark, Jesper, Sonnberger, Michael, Soršák, Jakub, Sourour, Nader, Søyland, Jogrim, Spitzer, Daniel, Sporns, Peter, Städt, Michael, Steidl, Eike, Størdal, Anne Margrethe Kaalaas, Stösser, Sebastian, Strickmann, Sarah, Strýček, Ondřej, Suškevič, Igor, Sýkora, Jan, Tennøe, Bjørn, Thaler, Daniela, Theisen, Sara, Thomalla, Götz, Trendafilov, Petar, Trenkler, Johannes, Trumm, Christoph, Tsogkas, Ioannis, Tunold, Jon-Anders, Tveit, Lars, Ulfert, Christian, Vališ, Kateřina, Vaníček, Jiří, Vassilev, Christine, Vítková, Eva, Voit-Höhne, Heinz-Leonhard, Vojtíšek, Bohuslav, Volderauer, Karoline, Vollherbst, Dominik, Vollmuth, Christoph, Volna, Kamila, Volný, Ondřej, VonWeitzel-Mudersbach, Poul, Vorčák, Martin, Wagner, Marlies, Wathle, Gaute Kjellevold, Weber, Werner, Weber, Anushe, Weiss, Viktor, Weller, Johannes M., Wenger-Alakmeh, Katharina, Weyland, Cyrill, Weymayr, Friedrich, Wießpeiner, Ulrike, Willeit, Johannes, Wittwer, Aymeric, Wollenweber, Frank, Wortmann, Ginette, Wunderlich, Silke, Xiong, Yanyan, You, Se-Jong, ZachoSpeiser, Lasse, Zamani, Mahtab, Zelenak, Kamil, Zeleňáková, Jana, Zubel, Seraphine, Subtil, Fabien, Gizewski, Elke R, Hill, Michael D, Krajina, Antonin, Simonsen, Claus Z, Zeleňák, Kamil, Blauenfeldt, Rolf A, Denis, Angélique, Gerber, Johannes C, Keil, Christiane Fee, Mikkelsen, Ronni, Möhlenbruch, Markus, Münnich, Nico, Petzold, Gabor C, Schell, Maximilian, Vollherbst, Dominik F, and Wick, Wolfgang

Published
2024
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21. BENN: Bias Estimation Using Deep Neural Network

Author

Giloni, Amit, Grolman, Edita, Hagemann, Tanja, Fromm, Ronald, Fischer, Sebastian, Elovici, Yuval, and Shabtai, Asaf

Subjects
Computer Science - Machine Learning, Computer Science - Computers and Society
Abstract

The need to detect bias in machine learning (ML) models has led to the development of multiple bias detection methods, yet utilizing them is challenging since each method: i) explores a different ethical aspect of bias, which may result in contradictory output among the different methods, ii) provides an output of a different range/scale and therefore, can't be compared with other methods, and iii) requires different input, and therefore a human expert needs to be involved to adjust each method according to the examined model. In this paper, we present BENN -- a novel bias estimation method that uses a pretrained unsupervised deep neural network. Given a ML model and data samples, BENN provides a bias estimation for every feature based on the model's predictions. We evaluated BENN using three benchmark datasets and one proprietary churn prediction model used by a European Telco and compared it with an ensemble of 21 existing bias estimation methods. Evaluation results highlight the significant advantages of BENN over the ensemble, as it is generic (i.e., can be applied to any ML model) and there is no need for a domain expert, yet it provides bias estimations that are aligned with those of the ensemble.

Published
2020

24. Correlation of mean apparent diffusion coefficient (ADC) and maximal standard uptake value (SUVmax) evaluated by diffusion-weighted MRI and 18F-FDG-PET/CT in children with Hodgkin lymphoma: a feasibility study

Author

Rosbach Nicolas, Fischer Sebastian, Koch Vitali, Vogl Thomas J., Bochennek Konrad, Lehrnbecher Thomas, Mahmoudi Scherwin, Grünewald Leon, Grünwald Frank, and Bernatz Simon

Subjects
hodgkin lymphoma, diffusion weighted imaging, apparent diffusion coefficient, mri, pet/ct, Medical physics. Medical radiology. Nuclear medicine, R895-920
Abstract

The objective was to analyse if magnetic resonance imaging (MRI) can act as a non-radiation exposure surrogate for (18)F-Fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in children with histologically confirmed Hodgkin lymphoma (HL) before treatment. This was done by analysing a potential correlation between apparent diffusion coefficient (ADC) in MRI and the maximum standardized uptake value (SUVmax) in FDG-PET/CT.

Published
2023
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25. Endovascular thrombectomy for acute ischaemic stroke with established large infarct: multicentre, open-label, randomised trial

Author

Aamodt, Anne Hege, Adamczewski, Olaf, Alektoror, Kirill, Alexander, März, Alexandrou, Maria, Alias, Quentin, Al-Kuzae, Fadha Elawi, Allard, Julien, Al-Schameri, Rahman, Álvarez, Alberto, Andersen, Grethe, AnkerlundBlaufeldt, Rolf, Antje, Riedel, Appelbohm, Hannes, Argren, Maria, Assmann, Anne, Augustin, Michael, Bach, Elke, Bar, Michal, Barleben, Maria, Baronnet, Flore, Barrios, Andrés, Bavúzová, Xénia, BayThomsen, Rikke, Becker, Sandra, Beer, Sylvia, Behme, Daniel, Bellut, Maximilian, Bendszus, Martin, Berkefeld, Joachim, Bester, Maximillian, Bode, Felix J., Boehme, Christian, Boese, Ramona, Bohmann, Ferdinand, Bonekamp, Susanne, Borggrefe, Jan, Boss, Erendira Gabriela, Boutchakova, Maria, Boxhammer, Elfi, Brandhofe, Annemarie, Breckwoldt, Michael, Brekenfeld, Casper, Brehm, Alex, Brem, Christian, Breuer, Stella, Breyer, Tobias, Brodová, Petra, Broocks, Gabriel, Brosinski, Christoph, Bubel, Nele, Búřil, Jiří, Čábal, Martin, Casado, Laura, Celis, Elena de, Chabert, Emmanuel, Charisse, Daniel, Cheng, Bastian, Chovanec, Vendelín, Cidlinsky, Peter, Cisár, Juraj, Clarençon, Fréderic, Crozier, Sophie, Čurdová, Nina, Damaskinos, Michele, Damgaard, Dorte, Daniš, Martin, Dazinger, Florian, Deb-Chatterji, Milani, Delalic, Asima, Delekta, Agnieszka, Delorme, Stephen, Deutschmann, Hannes, Diamandis, Elie, Diedrichsen, Tove, Doležalová, Irena, Dorn, Franziska, du Mesnil de Rochemont, Richard, DupontHougaard, Kristina, Ebrahimi, Taraneh, Eff, Florian, Eliášová, Ilona, Enriquez, Brian, Ergawy, Mostafa, Essig, Fabian, Falkesgaard, Maiken, Fandler-Höfler, Simon, Fernández, Andrés, Ferré, Jean-Christophe, Ferrier, Anna, Fiehler, Jens, Figlewski, Krystian, Fischer, Sebastian, Fischer, Urs, Flottmann, Fabian, Forbig, Robert, Förch, Christian, Fromm, Annette, Fuentes, Blanca, Gaedke, Ines, Galczak, Romana, Galijasevic, Malik, Ganser, Bernhard, Gattringer, Thomas, Gawlitza, Matthias, Gelhard, Sarah, Gellißen, Susanne, Gerber, Johannes, Giannakakis, Michail Panagiotis, Gindlhuber, Karin, Gizewski, Elke R., Glodny, Bernhard, Godel, Tim, Goebell, Einar, Goldemund, David, Görtler, Michael, Goyal, Mayank, Grams, Astrid E., Gruber, Joachim, Gruber, Katharina, Günthner-Lengsfeld, Thomas, Haase, Kathrin, Hacker-Ivan, Floriana, Hallerstig, Erika, Hanning, Uta, Haring, Jozef, Haršány, Michal, Haršány, Ján, Hartmann, Christian, Hassler, Eva Maria, Hauptmann, Kristina, Häusler, Karl Georg, Hecker, Constantin, Hellstern, Victoria, Henkes, Hans, Hernández, Victoria, Herweh, Christian, Hilgenfeld, Tim, Hill, Michael D., Hjort, Niels, HjortJensen, Nina, Hoelter, Maya, Hoffmann, Karl-Titus, Holst, Brigitte, Holtmannspoetter, Markus, Hopf-Jensen, Silke, Hoppe, Julia, Horner, Susanne, HougaardSoerensen, Leif, Hua, Vi Tuan, Hubert, Alexander, Hurtíková, Eva, Jakubíček, Stanislava, Janjic, Tanja, Jaramillo, Kirsten, Jedlitschka, Angela, Jensen, Schiela, Jensen, Märit, Jesser, Jessica, Jestaedt, Leonie, Johnson, Sabine, Jonszta, Tomáš, Kalmar, Peter, Karabegovic, Sanja, Karen, Kollo, Kastrup, Andreas, Katja, Hopp, Keeba, Natalia, Keese, Petra, Kefalaykos, Christina, Keil, Fee, Kellert, Lars, Kellinghaus, Christoph, Kestner, Roxane-Isabelle, Kiechl, Stefan, Killer-Oberpfalzer, Monika, Klepanec, Andrej, Knispel, Casjupea, Knoflach, Michael, Kohler, Sabine, Kohlhase, Konstantin, Kollikowski, Alexander Marco, Kovář, Martin, Krajina, Antonín, Kral, Michael, Krastev, Georgi, Krause, Lars Udo, Kreidenhuber, Rudolf, Křivka, Tomáš, Krkoška, Adam, Kröger, Jan Robert, Kronlage, Moritz, Krukowski, Pawel, Kühn, Julia, Kurča, Egon, Kurka, Natalia, Kuschnerow, Michael, Lachmund, Rita, Lamprecht, Susanne, Lange, Rüdiger, Lauer, Monika, Leciñana, Alonso de, Leder, Sara, Leger, Anne, Lehnen, Nils, Lehrieder, Dominik, Leißner, Maximilian, Leitinger, Markus, Leitner, Ursula, Lenck, Stéphanie, Lenzenweger, Eva, Liebig, Thomas, Lowens, Stephan, Lunzer, Manuel, Maegerlein, Christian, Magyar, Marton, Marques, Leonardo, Matyáš, David, Maurer, Gabriele, Mauritz, Matthias, Maximilian, Thormann, Mayer-Süß, Lukas, Meckel, Stephan, Medek, Oldřich, Meissner, Julius N., Mencl, Pavel, Merkle, Andrea, Mesche, Birte, Michalski, Dominik, Mikulík, Robert, Modrau, Boris, Möhlenbruch, Markus A., Mohr, Alexander, Mönninghoff, Christoph, Moser, Tobias, Mücke, Ramona, Müller-Hülsbeck, Stefan, Müller-Thies-Broussalis, Erasmia, Mutzenbach, Sebastian, Navia, Pedro, Neuberger, Ulf, Neugebauer, Hermann, Neumann, Jens, Nguyên, Anh, Niederkorn, Kurt, Nosál', Vladimír, Novobilský, Richard, Ntoulias, Nikos, Nussbaum, Lukas, Oder, Joanna, Oldag, Andreas, Ondrejkovič, Marián, Otto, Ferdinand, Otto, Dagmar, Paech, Daniel, Pagano, Paolo, Pallesen, Lars-Peder, Panský, Michal, Papanagiotou, Panagiotis, Patrick, Samp, Paukisch, Harald, Pelz, Johann, Petersen, Inga, Petersen, Martina, Petzold, Gabor C., Pfaff, Johannes, Pfeilschifter, Waltraud, Pham, Mirko, Pichler, Alexander, Pierot, Laurent, Pikija, Slaven, PlougmannPovlsen, Jan, Polkowski, Christoph, Polomac, Nenad, Portugaller, Rupert Horst, Poulsen, Marika, Preiß, Michael, Premat, Kévin, Prestsæter, Sjur, Prieto-Pérez, Rocio, Psychogios, Marios, Puetz, Volker, Purrucker, Jan, Rai, Heike, Rauch, Maximilian, Raupach, Jan, Reimann, Gernot, Reimann, Georg, Reitz, Sarah, Renc, Ondřej, Retzlaff, Jasmin, Rigual, Ricardo, Ringleb, Peter Arthur, Rivera-Bengoa, Carlota, Rodríguez, Jorge, Rohde, Stefan, Rohler, Siegfried, Rosso, Charlotte, Roth, Christian, Röttcher, Thomas, Roubec, Martin, Roztočilová, Milada, Rudnicka, Svetlana, Ruiz, Gerardo, Ryan, Stephen, Ryckborst, Karla J., Sandvik, Simen, Schäfer, Jan-Hendrik, Schaller-Paule, Martin, Schell, Maximillian, Schellinger, Peter, Schlemm, Eckhard, Schmid, Florian, Schmidt, Christoph, Schmitz, Marie Louise, Schneider, Claus, Scholtz, Jan-Erik, Schönenberger, Silvia, Schröter, Andreas, Schwarz, Daniel, Schwarz, Stephan, Schwarzenhofer, Daniel, Seifert-Held, Thomas, Seiler, Alexander, Seker, Fatih, Shotar, Eimad, Simonsen, Claus Z., Simonsen, Maria Theresa, Sivák, Jozef, Skagen, Karolina, Skjelland, Mona, Šnajdrová, Alena, Solymosi, Lazlo, Sømark, Jesper, Sonnberger, Michael, Soršák, Jakub, Sourour, Nader, Søyland, Jogrim, Spitzer, Daniel, Sporns, Peter, Städt, Michael, Steidl, Eike, Størdal, Anne Margrethe Kaalaas, Stösser, Sebastian, Strickmann, Sarah, Strýček, Ondřej, Suškevič, Igor, Sýkora, Jan, Tennøe, Bjørn, Thaler, Daniela, Theisen, Sara, Thomalla, Götz, Trendafilov, Petar, Trenkler, Johannes, Trumm, Christoph, Tsogkas, Ioannis, Tunold, Jon-Anders, Tveit, Lars, Ulfert, Christian, Vališ, Kateřina, Vaníček, Jiří, Vassilev, Christine, Vítková, Eva, Voit-Höhne, Heinz-Leonhard, Vojtíšek, Bohuslav, Volderauer, Karoline, Vollherbst, Dominik, Vollmuth, Christoph, Volna, Kamila, Volný, Ondřej, VonWeitzel-Mudersbach, Poul, Vorčák, Martin, Wagner, Marlies, Wathle, Gaute Kjellevold, Weber, Werner, Weber, Anushe, Weiss, Viktor, Weller, Johannes M., Wenger-Alakmeh, Katharina, Weyland, Cyrill, Weymayr, Friedrich, Wießpeiner, Ulrike, Willeit, Johannes, Wittwer, Aymeric, Wollenweber, Frank, Wortmann, Ginette, Wunderlich, Silke, Xiong, Yanyan, You, Se-Jong, ZachoSpeiser, Lasse, Zelenak, Kamil, Zeleňáková, Jana, Zubel, Seraphine, Subtil, Fabien, Gizewski, Elke R, Hill, Michael D, Krajina, Antonin, Simonsen, Claus Z, Zeleňák, Kamil, Blauenfeldt, Rolf A, Denis, Angélique, Gerber, Johannes C, Keil, Christiane Fee, Mikkelsen, Ronni, Möhlenbruch, Markus, Münnich, Nico, Petzold, Gabor C, Schell, Maximilian, Vollherbst, Dominik F, and Wick, Wolfgang

Published
2023
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28. The EnMAP imaging spectroscopy mission towards operations

Author

Storch, Tobias, Honold, Hans-Peter, Chabrillat, Sabine, Habermeyer, Martin, Tucker, Paul, Brell, Maximilian, Ohndorf, Andreas, Wirth, Katrin, Betz, Matthias, Kuchler, Michael, Mühle, Helmut, Carmona, Emiliano, Baur, Simon, Mücke, Martin, Löw, Sebastian, Schulze, Daniel, Zimmermann, Steffen, Lenzen, Christoph, Wiesner, Sebastian, Aida, Saika, Kahle, Ralph, Willburger, Peter, Hartung, Sebastian, Dietrich, Daniele, Plesia, Nicolae, Tegler, Mirco, Schork, Katharina, Alonso, Kevin, Marshall, David, Gerasch, Birgit, Schwind, Peter, Pato, Miguel, Schneider, Mathias, de los Reyes, Raquel, Langheinrich, Maximilian, Wenzel, Julian, Bachmann, Martin, Holzwarth, Stefanie, Pinnel, Nicole, Guanter, Luis, Segl, Karl, Scheffler, Daniel, Foerster, Saskia, Bohn, Niklas, Bracher, Astrid, Soppa, Mariana A., Gascon, Ferran, Green, Rob, Kokaly, Raymond, Moreno, Jose, Ong, Cindy, Sornig, Manuela, Wernitz, Ricarda, Bagschik, Klaus, Reintsema, Detlef, La Porta, Laura, Schickling, Anke, and Fischer, Sebastian

Published
2023
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29. Weight estimations with time-reversed point-light displays

Author

Braun, Claudia, Fischer, Sebastian, and Eckardt, Nils

Subjects
Body weight -- Psychological aspects, Psychological research, Judgment -- Research, Perception -- Research, Psychology and mental health
Abstract

Interpreting other's actions is a very important ability not only in social life, but also in interactive sports. Previous experiments have demonstrated good estimation performances for the weight of lifted objects through point-light displays. The basis for these performances is commonly assigned to the concept of motor simulation regarding observed actions. In this study, we investigated the weak version of the motor simulation hypothesis which claims that the goal of an observed action strongly influences its understanding (Fogassi, Ferrari, Gesierich, Rozzi, Chersi, & Rizzolatti, 2005 (See CR11)). Therefore, we conducted a weight judgement task with point-light displays and showed participants videos of a model lifting and lowering three different weights. The experimental manipulation consisted of a goal change of these actions by showing the videos normal and in a time-reversed order of sequence. The results show a systematic overestimation of weights for time-reversed lowering actions (thus looking like lifting actions) while weight estimations for time-reversed lifting actions did not differ from the original playback direction. The results are discussed in terms of motor simulation and different kinematic profiles of the presented actions., Author(s): Claudia Braun [sup.1] , Sebastian Fischer [sup.1] , Nils Eckardt [sup.1] [sup.2] Author Affiliations: (1) grid.5155.4, 0000 0001 1089 1036, Institute of Sports and Sport Science, University of Kassel, [...]

Published
2022
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34. Fazit und Ausblick

Author

Fischer, Sebastian, Hugger, Kai-Uwe, Series Editor, Tillmann, Angela, Series Editor, Hug, Theo, Series Editor, and Fischer, Sebastian

Published
2021
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37. Die YouTube-Revolution

Author

Fischer, Sebastian, Hugger, Kai-Uwe, Series Editor, Tillmann, Angela, Series Editor, Hug, Theo, Series Editor, and Fischer, Sebastian

Published
2021
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40. Einleitung

Author

Fischer, Sebastian, Hugger, Kai-Uwe, Series Editor, Tillmann, Angela, Series Editor, Hug, Theo, Series Editor, and Fischer, Sebastian

Published
2021
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43. Pay More Attention - Neural Architectures for Question-Answering

Author

Hasan, Zia and Fischer, Sebastian

Subjects
Computer Science - Computation and Language
Abstract

Machine comprehension is a representative task of natural language understanding. Typically, we are given context paragraph and the objective is to answer a question that depends on the context. Such a problem requires to model the complex interactions between the context paragraph and the question. Lately, attention mechanisms have been found to be quite successful at these tasks and in particular, attention mechanisms with attention flow from both context-to-question and question-to-context have been proven to be quite useful. In this paper, we study two state-of-the-art attention mechanisms called Bi-Directional Attention Flow (BiDAF) and Dynamic Co-Attention Network (DCN) and propose a hybrid scheme combining these two architectures that gives better overall performance. Moreover, we also suggest a new simpler attention mechanism that we call Double Cross Attention (DCA) that provides better results compared to both BiDAF and Co-Attention mechanisms while providing similar performance as the hybrid scheme. The objective of our paper is to focus particularly on the attention layer and to suggest improvements on that. Our experimental evaluations show that both our proposed models achieve superior results on the Stanford Question Answering Dataset (SQuAD) compared to BiDAF and DCN attention mechanisms., Comment: 8 pages, 6 figures

Published
2018

44. Go-Smart: Open-Ended, Web-Based Modelling of Minimally Invasive Cancer Treatments via a Clinical Domain Approach

Author

Weir, Phil, Ellerweg, Roland, Payne, Stephen, Reuter, Dominic, Alhonnoro, Tuomas, Voglreiter, Philip, Mariappan, Panchatcharam, Pollari, Mika, Park, Chang Sub, Voigt, Peter, van Oostenbrugge, Tim, Fischer, Sebastian, Kalmar, Peter, Futterer, Jurgen, Stiegler, Philipp, Zangos, Stephan, Flanagan, Ronan, Moche, Michael, and Kolesnik, Marina

Subjects
Computer Science - Computers and Society
Abstract

Clinicians benefit from online treatment planning systems, through off-site accessibility, data sharing and professional interaction. As well as enhancing clinical value, incorporation of simulation tools affords innovative avenues for open-ended, multi-disciplinary research collaboration. An extensible system for clinicians, technicians, manufacturers and researchers to build on a simulation framework is presented. This is achieved using a domain model that relates entities from theoretical, engineering and clinical domains, allowing algorithmic generation of simulation configuration for several open source solvers. The platform is applied to Minimally Invasive Cancer Treatments (MICTs), allowing interventional radiologists to upload patient data, segment patient images and validate simulated treatments of radiofrequency ablation, cryoablation, microwave ablation and irreversible electroporation. A traditional radiology software layout is provided in-browser for clinical use, with simple, guided simulation, primarily for training and research. Developers and manufacturers access a web-based system to manage their own simulation components (equipment, numerical models and clinical protocols) and related parameters. This system is tested by interventional radiologists at four centres, using pseudonymized patient data, as part of the Go-Smart Project (http://gosmart-project.eu). The simulation technology is released as a set of open source components http://github.com/go-smart.

Published
2018

46. Meaningful use of imaging resources to rule out cerebral venous sinus thrombosis after ChAdOx1 COVID-19 vaccination: Evaluation of the AHA diagnostic algorithm with a clinical cohort and a systematic data review

Author

Fervers, Philipp, Kottlors, Jonathan, Persigehl, Thorsten, Lennartz, Simon, Maus, Volker, Fischer, Sebastian, Styczen, Hanna, Deuschl, Cornelius, Schlamann, Marc, Mpotsaris, Anastasios, Zubel, Seraphine, Schroeter, Michael, Maintz, David, Fink, Gereon Rudolf, and Abdullayev, Nuran

Published
2022
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47. Thrombectomy alone versus intravenous alteplase plus thrombectomy in patients with stroke: an open-label, blinded-outcome, randomised non-inferiority trial

Author

Alonso, Angelika, Arquizan, Caroline, Barreau, Xavier, Beaujeux, Rémy, Behme, Daniel, Boeckh-Behrens, Tobias, Boehme, Christian, Boix, Martí, Boulouis, Grégoire, Bricout, Nicolas, Broc, Nicolas, Cereda, Carlo W., Chabert, Emmanuel, Cho, Tae-Hee, Cianfoni, Alessandro, Costalat, Vincent, Denier, Christian, Di Maria, Frederico, du Mesnil de Rochemont, Richard, Fearon, Patricia, Ferrier, Anna, Fischer, Sebastian, Gauberti, Maxime, Gaudron, Marie, Gimenez, Laetitia, Globas, Christoph, Görtler, Michael, Goyal, Mayank, Hilker-Roggendorf, Ruediger, Hill, Michael D., Hua, Vi Tuan, Humbertjean, Lisa, Jansen, Olav, Jung, Simon, Kägi, Georg, Kelly, Michael E., Kleffner, Ilka, Knoflach, Michael, Nedeltchev, Krassen, Krause, Lars Udo, Lappalainen, Kimmo, Lefebvre, Margaux, Leyon, Joe, Liao, Liang, Liegey, Jean-Sebastien, Loehr, Christian, Michel, Patrik, Nannoni, Stefania, Nicholson, Patrick, Nico, Lorena, Obadia, Michael, Ognard, Julien, Ogungbemi, Ayokunle, Olivot, Jean-Marc, Escalard, Simon, Pasi, Marco, Peeling, Lissa, Perez, Jane, Petersen, Martina, Piechowiak, Eike, Raposo, Roberto, Räty, Silja, Reitz, Sarah C., Remollo, Sebastià, Remonda, Luca, Rennie, Ian, Requena, Manuel, Riabikin, Alexander, Riva, Roberto, Rouchaud, Aymeric, Rosi, Andrea, Rubiera, Marta, Spelle, Laurent, Schnieder, Marlena, Schaafsma, Joanna D., Schubert, Tilman, Schulz, Jörg B., Siddiqui, Mohammed, Soize, Sébastien, Sonnberger, Michael, Touze, Emmanuel, Triquenot, Aude, Turc, Guillaume, Vieira, Lucy, Ben Hassen, Wagih, Wagner, Judith N., Wasser, Katrin, Weber, Johannes, Wenz, Holger, Weisenburger-Lile, David, Wodarg, Fritz, Wolff, Valérie, Wunderlich, Silke, Fischer, Urs, Kaesmacher, Johannes, Strbian, Daniel, Eker, Omer, Cognard, Christoph, Plattner, Patricia S, Bütikofer, Lukas, Mordasini, Pasquale, Deppeler, Sandro, Pereira, Vitor M, Albucher, Jean François, Darcourt, Jean, Bourcier, Romain, Benoit, Guillon, Papagiannaki, Chrysanthi, Ozkul-Wermester, Ozlem, Sibolt, Gerli, Tiainen, Marjaana, Gory, Benjamin, Richard, Sébastien, Liman, Jan, Ernst, Marielle Sophie, Boulanger, Marion, Barbier, Charlotte, Mechtouff, Laura, Zhang, Liqun, Marnat, Gaultier, Sibon, Igor, Nikoubashman, Omid, Reich, Arno, Consoli, Arturo, Lapergue, Bertrand, Ribo, Marc, Tomasello, Alejandro, Saleme, Suzana, Macian, Francisco, Moulin, Solène, Pagano, Paolo, Saliou, Guillaume, Carrera, Emmanuel, Janot, Kevin, Hernández-Pérez, María, Pop, Raoul, Schiava, Lucie Della, Luft, Andreas R, Piotin, Michel, Gentric, Jean Christophe, Pikula, Aleksandra, Pfeilschifter, Waltraud, Arnold, Marcel, Siddiqui, Adnan H, Froehler, Michael T, Furlan, Anthony J, Chapot, René, Wiesmann, Martin, Machi, Paolo, Diener, Hans-Christoph, Kulcsar, Zsolt, Bonati, Leo H, Bassetti, Claudio L, Mazighi, Mikael, Liebeskind, David S, Saver, Jeffrey L, and Gralla, Jan

Published
2022
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