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Christoph M. Friedrich

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affiliation: University of Applied Sciences and Arts Dortmund, Germany

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2006
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Christoph M. Friedrich:
Kombinationen evolutionär optimierter Klassifikatoren. Witten-Herdecke, Univ., 2006, ISBN 978-3-8322-5007-2, pp. 1-218

Journal Articles

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2024
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Louise Bloch, Christoph M. Friedrich:
Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer's Disease detection. Comput. Biol. Medicine 170: 108029 (2024)
[j17]
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Moi Hoon Yap, Bill Cassidy, Michal Byra, Ting-Yu Liao, Huahui Yi, Adrian Galdran, Yung-Han Chen, Raphael Brüngel, Sven Koitka, Christoph M. Friedrich, Yu-Wen Lo, Ching-Hui Yang, Kang Li, Qicheng Lao, Miguel Ángel González Ballester, Gustavo Carneiro, Yi-Jen Ju, Juinn-Dar Huang, Joseph M. Pappachan, Neil D. Reeves, Vishnu Chandrabalan, Darren Dancey, Connah Kendrick:
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. Medical Image Anal. 94: 103153 (2024)
[j16]
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Leroy Anozie, Bodo Fink, Christoph M. Friedrich, Christoph Engels:
Monitoring Flow-Forming Processes Using Design of Experiments and a Machine Learning Approach Based on Randomized-Supervised Time Series Forest and Recursive Feature Elimination. Sensors 24(5): 1527 (2024)
2023
[j15]
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Henning Schäfer, Ahmad Idrissi-Yaghir, Jeanette Bewersdorff, Sameh Frihat, Christoph M. Friedrich, Torsten Zesch:
Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge. J. Biomed. Informatics 143: 104400 (2023)
[j14]
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Lara Kuhlmann de Canaviri, Katharina Meiszl, Vana Hussein, Pegah Abbassi, Seyedeh Delaram Mirraziroudsari, Laurin Hake, Tobias Potthast, Fabian Ratert, Tessa Schulten, Marc Silberbach, Yannik Warnecke, Daniel Wiswede, Witold Schiprowski, Daniel Heß, Raphael Brüngel, Christoph M. Friedrich:
Static and Dynamic Accuracy and Occlusion Robustness of SteamVR Tracking 2.0 in Multi-Base Station Setups. Sensors 23(2): 725 (2023)
[j13]
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Ahmad Idrissi-Yaghir, Henning Schäfer, Nadja Bauer, Christoph M. Friedrich:
Domain Adaptation of Transformer-Based Models Using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback. SN Comput. Sci. 4(2): 142 (2023)
2022
[j12]
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Matteo Delucchi, Georg Ralph Spinner, Marco Scutari, Philippe Bijlenga, Sandrine Morel, Christoph M. Friedrich, Reinhard Furrer, Sven Hirsch:
Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors. Comput. Biol. Medicine 147: 105740 (2022)
[j11]
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Louise Bloch, Christoph M. Friedrich:
Machine Learning Workflow to Explain Black-Box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets. SN Comput. Sci. 3(6): 509 (2022)
2021
[j10]
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Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Bill Cassidy, Manu Goyal, Hongtao Zhu, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph M. Pappachan, Claire O'Shea, Eibe Frank:
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. Comput. Biol. Medicine 135: 104596 (2021)
2020
[j9]
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Sven Koitka, Moon S. Kim, Ming Qu, Asja Fischer, Christoph M. Friedrich, Felix Nensa:
Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks. Medical Image Anal. 64: 101743 (2020)
[j8]
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Marcel Trotzek, Sven Koitka, Christoph M. Friedrich:
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences. IEEE Trans. Knowl. Data Eng. 32(3): 588-601 (2020)
2016
[j7]
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Sven Koitka, Christoph M. Friedrich:
nmfgpu4R: GPU-Accelerated Computation of the Non-Negative Matrix Factorization (NMF) Using CUDA Capable Hardware. R J. 8(2): 382 (2016)
2012
[j6]
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Erfan Younesi, Luca Toldo, Bernd Müller, Christoph M. Friedrich, Natalia Novac, Alexander Scheer, Martin Hofmann-Apitius, Juliane Fluck:
Mining biomarker information in biomedical literature. BMC Medical Informatics Decis. Mak. 12: 148 (2012)
[j5]
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Marco Hülsmann, Detlef Borscheid, Christoph M. Friedrich, Dirk Reith:
General Sales Forecast Models for Automobile Markets and their Analysis. Trans. Mach. Learn. Data Min. 5(2): 65-86 (2012)
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Gürkan Üstünkar, Süreyya Özögür-Akyüz, Gerhard-Wilhelm Weber, Christoph M. Friedrich, Yesim Aydin Son:
Selection of representative SNP sets for genome-wide association studies: a metaheuristic approach. Optim. Lett. 6(6): 1207-1218 (2012)
2011
[j3]
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Philippe E. Thomas, Roman Klinger, Laura Inés Furlong, Martin Hofmann-Apitius, Christoph M. Friedrich:
Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers. BMC Bioinform. 12(S-4): S4 (2011)
2010
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Siegfried Benkner, Antonio Arbona, Guntram Berti, Alessandro Chiarini, Robert Dunlop, Gerhard Engelbrecht, Alejandro F. Frangi, Christoph M. Friedrich, S. Hanser, Peer Hasselmeyer, Rod D. Hose, Jimison Iavindrasana, Martin Koehler, Luigi Lo Iacono, Guy Lonsdale, Rodolphe Meyer, Bob Moore, Hariharan Rajasekaran, Paul E. Summers, Alexander Wöhrer, Steven Wood:
@neurIST: Infrastructure for Advanced Disease Management Through Integration of Heterogeneous Data, Computing, and Complex Processing Services. IEEE Trans. Inf. Technol. Biomed. 14(6): 1365-1377 (2010)
2007
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Roman Klinger, Christoph M. Friedrich, Heinz-Theodor Mevissen, Juliane Fluck, Martin Hofmann-Apitius, Laura Inés Furlong, Ferran Sanz:
Identifying gene-Specific Variations in Biomedical Text. J. Bioinform. Comput. Biol. 5(6): 1277-1296 (2007)

Conference and Workshop Papers

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2024
[c75]
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Johannes Rückert, Asma Ben Abacha, Alba Garcia Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Benjamin Bracke, Hendrik Damm, Tabea Margareta Grace Pakull, Cynthia Sabrina Schmidt, Henning Müller, Christoph M. Friedrich:
Overview of ImageCLEFmedical 2024 - Caption Prediction and Concept Detection. CLEF (Working Notes) 2024: 1437-1455
[c74]
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Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich:
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. LREC/COLING 2024: 3654-3665
[c73]
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Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Ahmad Idrissi-Yaghir, Ahmedkhan Radzhabov, Alba Garcia Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Benjamin Lecouteux, Benno Stein, Cécile Macaire, Christoph M. Friedrich, Cynthia S. Schmidt, Didier Schwab, Emmanuelle Esperança-Rodier, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ioan Coman, Johanna Schöler, Johannes Kiesel, Johannes Rückert, Louise Bloch, Martin Potthast, Maximilian Heinrich, Meliha Yetisgen, Michael A. Riegler, Neal Snider, Pål Halvorsen, Raphael Brüngel, Steven Alexander Hicks, Vajira Thambawita, Vassili Kovalev, Yuri Prokopchuk, Wen-wai Yim:
Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. ECIR (6) 2024: 44-52
2023
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Bogdan Ionescu, Henning Müller, Ana-Maria Dragulinescu, Wen-wai Yim, Asma Ben Abacha, Neal Snider, Griffin Adams, Meliha Yetisgen, Johannes Rückert, Alba García Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Steven Alexander Hicks, Michael A. Riegler, Vajira Thambawita, Andrea M. Storås, Pål Halvorsen, Nikolaos Papachrysos, Johanna Schöler, Debesh Jha, Alexandra-Georgiana Andrei, Ioan Coman, Vassili Kovalev, Ahmedkhan Radzhabov, Yuri Prokopchuk, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Jérôme Deshayes, Adrian Popescu:
Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. CLEF 2023: 370-396
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Johannes Rückert, Asma Ben Abacha, Alba Garcia Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Henning Müller, Christoph M. Friedrich:
Overview of ImageCLEFmedical 2023 - Caption Prediction and Concept Detection. CLEF (Working Notes) 2023: 1328-1346
[c70]
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Benjamin Bracke, Mohammadreza Bagherifar, Louise Bloch, Christoph M. Friedrich:
Joint Feature Learning of Image Data with Embedded Metadata to Leverage Snake Species Classification. CLEF (Working Notes) 2023: 2007-2034
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Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel, Carole H. Sudre, Kimberlin M. H. van Wijnen, Martin Wagner, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai, Louise Bloch, Raphael Brüngel, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser, Bruno Oliveira, David Owen, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça, Kareem A. Wahid, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966
[c68]
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Bogdan Ionescu, Henning Müller, Ana-Maria Claudia Dragulinescu, Adrian Popescu, Ahmad Idrissi-Yaghir, Alba García Seco de Herrera, Alexandra Andrei, Alexandru Stan, Andrea M. Storås, Asma Ben Abacha, Christoph M. Friedrich, George Ioannidis, Griffin Adams, Henning Schäfer, Hugo Manguinhas, Ihar Filipovich, Ioan Coman, Jérôme Deshayes, Johanna Schöler, Johannes Rückert, Liviu-Daniel Stefan, Louise Bloch, Meliha Yetisgen, Michael A. Riegler, Mihai Dogariu, Mihai Gabriel Constantin, Neal Snider, Nikolaos Papachrysos, Pål Halvorsen, Raphael Brüngel, Serge Kozlovski, Steven Hicks, Thomas de Lange, Vajira Thambawita, Vassili Kovalev, Wen-wai Yim:
ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. ECIR (3) 2023: 557-567
[c67]
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Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Seibold, Jianning Li, Lars Heiliger, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. EMNLP (Findings) 2023: 13801-13813
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Louise Bloch, Johannes Rückert, Christoph M. Friedrich:
PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints Using Literature Databases. TPDL 2023: 47-61
[c65]
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Raphael Brüngel, Benjamin Bracke, Johannes Rückert, Christoph M. Friedrich:
Teaching Machine Learning with Industrial Projects in a Joint Computer Science Master Course: Experiences, Challenges, Perspectives. GECon 2023: 1-6
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Katharina Meiszl, Tobias Potthast, Tessa Schulten, Marc Silberbach, Daniel Wiswede, Pegah Abbassi, Laurin Hake, Vana Hussein, Lara Kuhlmann de Canaviri, Seyedeh Delaram Mirraziroudsari, Fabian Ratert, Yannik Warnecke, Witold Schiprowski, Daniel Heß, Raphael Brüngel, Christoph M. Friedrich:
App-Guided ICAROS Pro Training via SteamVR Tracking 2.0 and Zephyr BioHarness 3.0. IDAACS 2023: 430-435
2022
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Henning Schäfer, Hendrik Damm, Christoph M. Friedrich:
Heart Rate Estimation based on Optical Flow: Enabling Smooth Angle Changes in Ultrasound Simulation. BIOSIGNALS 2022: 236-243
[c62]
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Beauclair Dongmo Ngnintedem, Eric Mense, Johannes Rückert, Christoph M. Friedrich:
Classification and Direction Detection of Ambient Sounds on Microsoft HoloLens to Support Hearing-impaired People. HEALTHINF 2022: 857-863
[c61]
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Bogdan Ionescu, Henning Müller, Renaud Péteri, Johannes Rückert, Asma Ben Abacha, Alba Garcia Seco de Herrera, Christoph M. Friedrich, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, Adrian Popescu, Jérôme Deshayes-Chossart, Hugo Schindler, Jon Chamberlain, Antonio Campello, Adrian F. Clark:
Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications. CLEF 2022: 541-564
[c60]
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Johannes Rückert, Asma Ben Abacha, Alba Garcia Seco de Herrera, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Henning Müller, Christoph M. Friedrich:
Overview of ImageCLEFmedical 2022 - Caption Prediction and Concept Detection. CLEF (Working Notes) 2022: 1294-1307
[c59]
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Louise Bloch, Jan-Frederick Böckmann, Benjamin Bracke, Christoph M. Friedrich:
Combination of Object Detection, Geospatial Data, and Feature Concatenation for Snake Species Identification. CLEF (Working Notes) 2022: 1982-2013
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Alba Garcia Seco de Herrera, Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Christoph M. Friedrich, Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Serge Kozlovski, Yashin Dicente Cid, Vassili Kovalev, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Hugo Schindler, Jérôme Deshayes, Adrian Popescu, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu:
ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications. ECIR (2) 2022: 382-389
[c57]
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Raphael Brüngel, Sven Koitka, Christoph M. Friedrich:
Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension. DFUC@MICCAI 2022: 65-79
2021
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Louise Bloch, Christoph M. Friedrich:
Developing a Machine Learning Workflow to Explain Black-box Models for Alzheimer's Disease Classification. HEALTHINF 2021: 87-99
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Louise Bloch, Christoph M. Friedrich:
Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer's Disease Detection with Machine Learning. CBMS 2021: 113-118
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Raphael Brüngel, Christoph M. Friedrich:
DETR and YOLOv5: Exploring Performance and Self-Training for Diabetic Foot Ulcer Detection. CBMS 2021: 148-153
[c53]
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Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Mourad Sarrouti, Dina Demner-Fushman, Sadid A. Hasan, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev, Obioma Pelka, Alba García Seco de Herrera, Janadhip Jacutprakart, Christoph M. Friedrich, Raul Berari, Andrei Tauteanu, Dimitri Fichou, Paul Brie, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Jon Chamberlain, Antonio Campello, Adrian F. Clark, Thomas Oliver, Hassan Moustahfid, Adrian Popescu, Jerome Deshayes-Chossart:
Overview of the ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications. CLEF 2021: 345-370
[c52]
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Obioma Pelka, Asma Ben Abacha, Alba Garcia Seco de Herrera, Janadhip Jacutprakart, Christoph M. Friedrich, Henning Müller:
Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task. CLEF (Working Notes) 2021: 1101-1112
[c51]
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Louise Bloch, Christoph M. Friedrich:
EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information. CLEF (Working Notes) 2021: 1477-1498
[c50]
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Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Dina Demner-Fushman, Sadid A. Hasan, Mourad Sarrouti, Obioma Pelka, Christoph M. Friedrich, Alba Garcia Seco de Herrera, Janadhip Jacutprakart, Vassili Kovalev, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Hassan Moustahfid, Thomas Oliver, Abigail Schulz, Paul Brie, Raul Berari, Dimitri Fichou, Andrei Tauteanu, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin, Jérôme Deshayes, Adrian Popescu:
The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications. ECIR (2) 2021: 616-623
[c49]
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Louise Bloch, Raphael Brüngel, Christoph M. Friedrich:
Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers. DFUC@MICCAI 2021: 30-49
[c48]
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Henning Schäfer, Ahmad Idrissi-Yaghir, Wolfgang Galetzka, Marie Bexte, Christoph M. Friedrich:
WisPerMed Text at TREC Clinical Trials Track 2021. TREC 2021
2020
[c47]
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Marina Arendt, Johannes Rückert, Raphael Brüngel, Christopher Brumann, Christoph M. Friedrich:
The Effects of Colour Enhancement and IoU Optimisation on Object Detection and Segmentation of Coral Reef Structures. CLEF (Working Notes) 2020
[c46]
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Louise Bloch, Adrian Boketta, Christopher Keibel, Eric Mense, Alex Michailutschenko, Obioma Pelka, Johannes Rückert, Leon Willemeit, Christoph M. Friedrich:
Combination of Image and Location Information for Snake Species Identification using Object Detection and EfficientNets. CLEF (Working Notes) 2020
[c45]
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Bogdan Ionescu, Henning Müller, Renaud Péteri, Asma Ben Abacha, Vivek V. Datla, Sadid A. Hasan, Dina Demner-Fushman, Serge Kozlovski, Vitali Liauchuk, Yashin Dicente Cid, Vassili Kovalev, Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Duc-Tien Dang-Nguyen, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Dimitri Fichou, Raul Berari, Paul Brie, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin:
Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. CLEF 2020: 311-341
[c44]
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Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Henning Müller:
Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding. CLEF (Working Notes) 2020
[c43]
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Henning Schäfer, Christoph M. Friedrich:
Multilingual ICD-10 Code Assignment with Transformer Architectures using MIMIC-III Discharge Summaries. CLEF (Working Notes) 2020
[c42]
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Raphael Brüngel, Johannes Rückert, Christoph M. Friedrich:
Project-Based Learning in a Machine Learning Course with Differentiated Industrial Projects for Various Computer Science Master Programs. CSEE&T 2020: 1-5
[c41]
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Bogdan Ionescu, Henning Müller, Renaud Péteri, Duc-Tien Dang-Nguyen, Liting Zhou, Luca Piras, Michael Riegler, Pål Halvorsen, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Jon Chamberlain, Adrian F. Clark, Antonio Campello, Alba Garcia Seco de Herrera, Asma Ben Abacha, Vivek V. Datla, Sadid A. Hasan, Joey Liu, Dina Demner-Fushman, Obioma Pelka, Christoph M. Friedrich, Yashin Dicente Cid, Serge Kozlovski, Vitali Liauchuk, Vassili Kovalev, Raul Berari, Paul Brie, Dimitri Fichou, Mihai Dogariu, Liviu-Daniel Stefan, Mihai Gabriel Constantin:
ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. ECIR (2) 2020: 533-541
[c40]
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Louise Bloch, Christoph M. Friedrich:
Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer's Disease Diagnosis. MobiHealth 2020: 285-299
2019
[c39]
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Bogdan Ionescu, Henning Müller, Renaud Péteri, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Dzmitri Klimuk, Aleh Tarasau, Asma Ben Abacha, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Dina Demner-Fushman, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Obioma Pelka, Christoph M. Friedrich, Alba Garcia Seco de Herrera, Narciso García, Ergina Kavallieratou, Carlos Roberto del-Blanco, Carlos Cuevas, Nikos Vasilopoulos, Konstantinos Karampidis, Jon Chamberlain, Adrian F. Clark, Antonio Campello:
ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature. CLEF 2019: 358-386
[c38]
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Obioma Pelka, Christoph M. Friedrich, Alba García Seco de Herrera, Henning Müller:
Overview of the ImageCLEFmed 2019 Concept Detection Task. CLEF (Working Notes) 2019
[c37]
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Bogdan Ionescu, Henning Müller, Renaud Péteri, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Asma Ben Abacha, Sadid A. Hasan, Vivek V. Datla, Joey Liu, Dina Demner-Fushman, Obioma Pelka, Christoph M. Friedrich, Jon Chamberlain, Adrian F. Clark, Alba Garcia Seco de Herrera, Narciso García, Ergina Kavallieratou, Carlos Roberto del-Blanco, Carlos Cuevas, Nikos Vasilopoulos, Konstantinos Karampidis:
ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications. ECIR (2) 2019: 301-308
[c36]
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Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Variations on Branding with Text Occurrence for Optimized Body Parts Classification. EMBC 2019: 890-894
[c35]
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Tim Ameler, Kai Blohme, Lilith Brandt, Raphael Brüngel, Alice Hensel, Lisa Huber, Francis Kuper, Jessica Swoboda, Maren Warnecke, Michaela Warzecha, Daniel Heß, Johannes Frömke, Annette Schmitz-Stolbrink, Christoph M. Friedrich:
A Comparative Evaluation of SteamVR Tracking and the OptiTrack System for Medical Device Tracking. EMBC 2019: 1465-1470
[c34]
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Louise Bloch, Christoph M. Friedrich:
Classification of Alzheimer's Disease using volumetric features of multiple MRI scans. EMBC 2019: 2396-2401
[c33]
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Henning Schäfer, Christoph M. Friedrich:
UMLS mapping and Word embeddings for ICD code assignment using the MIMIC-III intensive care database. EMBC 2019: 6089-6092
[c32]
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Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition. ICCV Workshops 2019: 467-475
2018
[c31]
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Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval. BIOIMAGING 2018: 179-187
[c30]
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Martin Eckert, Matthias Blex, Christoph M. Friedrich:
Object Detection Featuring 3D Audio Localization for Microsoft HoloLens - A Deep Learning based Sensor Substitution Approach for the Blind. HEALTHINF 2018: 555-561
[c29]
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Marcel Trotzek, Sven Koitka, Christoph M. Friedrich:
Word Embeddings and Linguistic Metadata at the CLEF 2018 Tasks for Early Detection of Depression and Anorexia. CLEF (Working Notes) 2018
[c28]
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Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Optimizing Body Region Classification with Deep Convolutional Activation Features. ECCV Workshops (4) 2018: 699-704
[c27]
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Christopher Ehmke, Florian Wessling, Christoph M. Friedrich:
Proof-of-Property - A Lightweight and Scalable Blockchain Protocol. WETSEB@ICSE 2018: 48-51
[c26]
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Obioma Pelka, Sven Koitka, Johannes Rückert, Felix Nensa, Christoph M. Friedrich:
Radiology Objects in COntext (ROCO): A Multimodal Image Dataset. CVII-STENT/LABELS@MICCAI 2018: 180-189
2017
[c25]
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Andreas Fritzler, Sven Koitka, Christoph M. Friedrich:
Recognizing Bird Species in Audio Files Using Transfer Learning. CLEF (Working Notes) 2017
[c24]
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  - conf/clef/KoitkaF17
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Sven Koitka, Christoph M. Friedrich:
Optimized Convolutional Neural Network Ensembles for Medical Subfigure Classification. CLEF 2017: 57-68
[c23]
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Andreas R. Ludwig, Helga Piorek, Andreas H. Kelch, David Rex, Sven Koitka, Christoph M. Friedrich:
Improving Model Performance for Plant Image Classification With Filtered Noisy Images. CLEF (Working Notes) 2017
[c22]
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Obioma Pelka, Christoph M. Friedrich:
Keyword Generation for Biomedical Image Retrieval with Recurrent Neural Networks. CLEF (Working Notes) 2017
[c21]
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Marcel Trotzek, Sven Koitka, Christoph M. Friedrich:
Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression. CLEF (Working Notes) 2017
[c20]
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Marcel Trotzek, Sven Koitka, Christoph M. Friedrich:
Early Detection of Depression Based on Linguistic Metadata Augmented Classifiers Revisited - Best of the eRisk Lab Submission. CLEF 2017: 191-202
2016
[c19]
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Sven Koitka, Christoph M. Friedrich:
Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016. CLEF (Working Notes) 2016: 304-317
2015
[c18]
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Obioma Pelka, Christoph M. Friedrich:
FHDO Biomedical Computer Science Group at Medical Classification Task of ImageCLEF 2015. CLEF (Working Notes) 2015
2011
[c17]
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  - conf/incdm/HulsmannBFR11
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Marco Hülsmann, Detlef Borscheid, Christoph M. Friedrich, Dirk Reith:
General Sales Forecast Models for Automobile Markets Based on Time Series Analysis and Data Mining Techniques. ICDM 2011: 255-269
2010
[c16]
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Bernd Müller, Roman Klinger, Harsha Gurulingappa, Heinz-Theodor Mevissen, Martin Hofmann-Apitius, Juliane Fluck, Christoph M. Friedrich:
Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities. IRFC 2010: 152-165
[c15]
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Harsha Gurulingappa, Bernd Müller, Roman Klinger, Heinz-Theodor Mevissen, Martin Hofmann-Apitius, Christoph M. Friedrich, Juliane Fluck:
Prior Art Search in Chemistry Patents Based On Semantic Concepts and Co-Citation Analysis. TREC 2010
2009
[c14]
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Bernhard Brühl, Marco Hülsmann, Detlef Borscheid, Christoph M. Friedrich, Dirk Reith:
A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods. ICDM 2009: 146-160
[c13]
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Roman Klinger, Christoph M. Friedrich:
Feature Subset Selection in Conditional Random Fields for Named Entity Recognition. RANLP 2009: 185-191
[c12]
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Roman Klinger, Christoph M. Friedrich:
User's Choice of Precision and Recall in Named Entity Recognition. RANLP 2009: 192-196
[c11]
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Harsha Gurulingappa, Bernd Müller, Roman Klinger, Heinz-Theodor Mevissen, Martin Hofmann-Apitius, Juliane Fluck, Christoph M. Friedrich:
Patent Retrieval in Chemistry Based on Semantically Tagged Named Entities. TREC 2009
2008
[c10]
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Christoph M. Friedrich, Martin Hofmann-Apitius, Robert Dunlop, Ioannis Chronakis, Miriam C. J. M. Sturkenboom, Roelof Risselada, Baldo Oliva, Ferran Sanz:
Initial Results on Knowledge Discovery and Decision Support for Intracranial Aneurysms. HEALTHINF (1) 2008: 265-272
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Hariharan Rajasekaran, Luigi Lo Iacono, Peer Hasselmeyer, Jochen Fingberg, Paul E. Summers, Siegfried Benkner, Gerhard Engelbrecht, Antonio Arbona, Alessandro Chiarini, Christoph M. Friedrich, Martin Hofmann-Apitius, Kai Kumpf, Bob Moore, Philippe Bijlenga, Jimison Iavindrasana, Henning Müller, Rod D. Hose, Robert Dunlop, Alejandro F. Frangi:
@neurIST - Towards a System Architecture for Advanced Disease Management through Integration of Heterogeneous Data, Computing, and Complex Processing Services. CBMS 2008: 361-366
[c8]
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Jimison Iavindrasana, Luigi Lo Iacono, Henning Müller, Ivan Periz, Paul E. Summers, Jessica Wright, Christoph M. Friedrich, Holger Dach, Tobias Gattermayer, Gerhard Engelbrecht, Siegfried Benkner, Martin Hofmann-Apitius, Robert Dunlop, Antonio Arbona, Hariharan Rajasekaran, Jochen Fingberg, Alessandro Chiarini, Bob Moore, Philippe Bijlenga, Rod D. Hose, Alejandro F. Frangi:
The @neurIST project. HealthGrid 2008: 161-164
[c7]
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Christoph M. Friedrich, Holger Dach, Tobias Gattermayer, Gerhard Engelbrecht, Siegfried Benkner, Martin Hofmann-Apitius:
@neuLink: A Service-oriented Application for Biomedical Knowledge Discovery. HealthGrid 2008: 165-172
[c6]
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Robert Dunlop, Antonio Arbona, Hariharan Rajasekaran, Luigi Lo Iacono, Jochen Fingberg, Paul E. Summers, Siegfried Benkner, Gerhard Engelbrecht, Alessandro Chiarini, Christoph M. Friedrich, Bob Moore, Philippe Bijlenga, Jimison Iavindrasana, Rod D. Hose, Alejandro F. Frangi:
@neurIST - Chronic Disease Management through Integration of Heterogeneous Data and Computer-interpretable Guideline Services. HealthGrid 2008: 173-177
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Roman Klinger, Corinna Kolárik, Juliane Fluck, Martin Hofmann-Apitius, Christoph M. Friedrich:
Detection of IUPAC and IUPAC-like chemical names. ISMB 2008: 268-276
2007
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Marco Hülsmann, Christoph M. Friedrich:
Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods. MLDM 2007: 17-31
2006
[c3]
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Christoph M. Friedrich, Thomas Revillion, Martin Hofmann, Juliane Fluck:
Biomedical and Chemical Named Entity Recognition with Conditional Random Fields: The Advantage of Dictionary Features. SMBM 2006
1997
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Christoph M. Friedrich, Claudio Moraga:
Using Genetic Engineering to Find Modular Structures and Activation Functions for Architectures of Artificial Neural Networks. Fuzzy Days 1997: 150-161
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Christoph M. Friedrich:
Using Genetic Engineering To Find Modular Structures for Architectures of Artificial Neural Networks. ICANNGA 1997: 373-377

Data and Artifacts

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2023
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Johannes Rückert, Christoph Balada, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia S. Schmidt, Sven Koitka, Obioma Pelka, Asma Ben Abacha, Alba Garcia Seco de Herrera, Henning Müller, Peter A. Horn, Felix Nensa, Christoph M. Friedrich:
ROCOv2: Radiology Objects in COntext Version 2, An Updated Multimodal Image Dataset. Version 2.0. Zenodo, 2023 [all versions]
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Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia S. Schmidt, Sven Koitka, Obioma Pelka, Asma Ben Abacha, Alba Garcia Seco de Herrera, Henning Müller, Peter A. Horn, Felix Nensa, Christoph M. Friedrich:
ROCOv2: Radiology Objects in COntext Version 2, An Updated Multimodal Image Dataset. Version 2.0.1. Zenodo, 2023 [all versions]

Informal and Other Publications

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2024
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  - journals/corr/abs-2404-05694
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Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich:
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. CoRR abs/2404.05694 (2024)
[i13]
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Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia S. Schmidt, Sven Koitka, Obioma Pelka, Asma Ben Abacha, Alba García Seco de Herrera, Henning Müller, Peter A. Horn, Felix Nensa, Christoph M. Friedrich:
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset. CoRR abs/2405.10004 (2024)
[i12]
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  - journals/corr/abs-2405-11255
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Hendrik Damm, Tabea Margareta Grace Pakull, Bahadir Eryilmaz, Helmut Becker, Ahmad Idrissi-Yaghir, Henning Schäfer, Sergej Schultenkämper, Christoph M. Friedrich:
WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV. CoRR abs/2405.11255 (2024)
[i11]
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  - journals/corr/abs-2405-11950
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Tabea Margareta Grace Pakull, Hendrik Damm, Ahmad Idrissi-Yaghir, Henning Schäfer, Peter A. Horn, Christoph M. Friedrich:
WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles. CoRR abs/2405.11950 (2024)
[i10]
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  - journals/corr/abs-2407-08878
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Sven Koitka, Giulia Baldini, Cynthia S. Schmidt, Olivia B. Pollok, Obioma Pelka, Judith Kohnke, Katarzyna Borys, Christoph M. Friedrich, Benedikt M. Schaarschmidt, Michael Forsting, Lale Umutlu, Johannes Haubold, Felix Nensa, René Hosch:
SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees. CoRR abs/2407.08878 (2024)
2023
[i9]
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  - journals/corr/abs-2309-01373
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Louise Bloch, Johannes Rückert, Christoph M. Friedrich:
PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints using Literature Databases. CoRR abs/2309.01373 (2023)
[i8]
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  - journals/corr/abs-2310-07321
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Amin Dada, Aokun Chen, Cheng Peng, Kaleb E. Smith, Ahmad Idrissi-Yaghir, Constantin Marc Seibold, Jianning Li, Lars Heiliger, Xi Yang, Christoph M. Friedrich, Daniel Truhn, Jan Egger, Jiang Bian, Jens Kleesiek, Yonghui Wu:
On the Impact of Cross-Domain Data on German Language Models. CoRR abs/2310.07321 (2023)
2022
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  - journals/corr/abs-2205-05907
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Louise Bloch, Christoph M. Friedrich:
Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets. CoRR abs/2205.05907 (2022)
[i6]
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  - journals/corr/abs-2212-05764
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Ahmad Idrissi-Yaghir, Henning Schäfer, Nadja Bauer, Christoph M. Friedrich:
Domain Adaptation of Transformer-Based Models using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback. CoRR abs/2212.05764 (2022)
2021
[i5]
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  - journals/corr/abs-2112-00065
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Louise Bloch, Raphael Brüngel, Christoph M. Friedrich:
Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers. CoRR abs/2112.00065 (2021)
2020
[i4]
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  - journals/corr/abs-2010-03341
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Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi, Raphael Brüngel, Manu Goyal, Hongtao Zhu, Bill Cassidy, Johannes Rückert, Moshe Olshansky, Xiao Huang, Hideo Saito, Saeed Hassanpour, Christoph M. Friedrich, David B. Ascher, Anping Song, Hiroki Kajita, David Gillespie, Neil D. Reeves, Joseph Pappachan, Claire O'Shea, Eibe Frank:
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation. CoRR abs/2010.03341 (2020)
2018
[i3]
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  - journals/corr/abs-1804-07000
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Marcel Trotzek, Sven Koitka, Christoph M. Friedrich:
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences. CoRR abs/1804.07000 (2018)
2010
[i2]
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Christoph M. Friedrich, Christian Ebeling, David Manset:
Cross-Project Uptake of Biomedical Text Mining Results for Candidate Gene Searches. ERCIM News 2010(82): 45-46 (2010)
2009
[i1]
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Marco Hülsmann, Christoph M. Friedrich, Dirk Reith:
A New Approach to Explicable Sales Forecast Models for the German Automobile Market. ERCIM News 2009(78) (2009)

Coauthor Index

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