Using Genetic Engineering to Find Modular Structures and Activation Functions for Architectures of Artificial Neural Networks. - Christoph M. Friedrich; Claudio Moraga (Fuzzy Days, 1997)

Using Genetic Engineering To Find Modular Structures for Architectures of Artificial Neural Networks. - Christoph M. Friedrich (ICANNGA, 1997)

Biomedical and Chemical Named Entity Recognition with Conditional Random Fields: The Advantage of Dictionary Features. - Christoph M. Friedrich; Thomas Revillion; Martin Hofmann 009; Juliane Fluck (SMBM, 2006)

Kombinationen evolutionär optimierter Klassifikatoren. - Christoph M. Friedrich (2006)

Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods. - Marco Hülsmann; Christoph M. Friedrich (MLDM, 2007)

Identifying gene-Specific Variations in Biomedical Text. - Roman Klinger; Christoph M. Friedrich; Heinz-Theodor Mevissen; Juliane Fluck; Martin Hofmann-Apitius; Laura Inés Furlong; Ferran Sanz (J. Bioinform. Comput. Biol., 2007)

Initial Results on Knowledge Discovery and Decision Support for Intracranial Aneurysms. - Christoph M. Friedrich; Martin Hofmann-Apitius; Robert Dunlop; Ioannis Chronakis; Miriam C. J. M. Sturkenboom; Roelof Risselada; Baldo Oliva; Ferran Sanz (HEALTHINF (1), 2008)

@neurIST - Towards a System Architecture for Advanced Disease Management through Integration of Heterogeneous Data, Computing, and Complex Processing Services. - 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; et al. (CBMS, 2008)

@neurIST - Chronic Disease Management through Integration of Heterogeneous Data and Computer-interpretable Guideline Services. - 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; et al. (HealthGrid, 2008)

@neuLink: A Service-oriented Application for Biomedical Knowledge Discovery. - Christoph M. Friedrich; Holger Dach; Tobias Gattermayer; Gerhard Engelbrecht; Siegfried Benkner; Martin Hofmann-Apitius (HealthGrid, 2008)

The @neurIST project. - 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; et al. (HealthGrid, 2008)

Detection of IUPAC and IUPAC-like chemical names. - Roman Klinger; Corinna Kolárik; Juliane Fluck; Martin Hofmann-Apitius; Christoph M. Friedrich (ISMB, 2008)

A Sales Forecast Model for the German Automobile Market Based on Time Series Analysis and Data Mining Methods. - Bernhard Brühl; Marco Hülsmann; Detlef Borscheid; Christoph M. Friedrich; Dirk Reith (ICDM, 2009)

Feature Subset Selection in Conditional Random Fields for Named Entity Recognition. - Roman Klinger; Christoph M. Friedrich (RANLP, 2009)

User's Choice of Precision and Recall in Named Entity Recognition. - Roman Klinger; Christoph M. Friedrich (RANLP, 2009)

Patent Retrieval in Chemistry Based on Semantically Tagged Named Entities. - Harsha Gurulingappa; Bernd Müller; Roman Klinger; Heinz-Theodor Mevissen; Martin Hofmann-Apitius; Juliane Fluck; Christoph M. Friedrich (TREC, 2009)

A New Approach to Explicable Sales Forecast Models for the German Automobile Market. - Marco Hülsmann; Christoph M. Friedrich; Dirk Reith (ERCIM News, 2009)

Abstracts versus Full Texts and Patents: A Quantitative Analysis of Biomedical Entities. - Bernd Müller; Roman Klinger; Harsha Gurulingappa; Heinz-Theodor Mevissen; Martin Hofmann-Apitius; Juliane Fluck; Christoph M. Friedrich (IRFC, 2010)

Prior Art Search in Chemistry Patents Based On Semantic Concepts and Co-Citation Analysis. - Harsha Gurulingappa; Bernd Müller; Roman Klinger; Heinz-Theodor Mevissen; Martin Hofmann-Apitius; Christoph M. Friedrich; Juliane Fluck (TREC, 2010)

Cross-Project Uptake of Biomedical Text Mining Results for Candidate Gene Searches. - Christoph M. Friedrich; Christian Ebeling; David Manset (ERCIM News, 2010)

@neurIST: Infrastructure for Advanced Disease Management Through Integration of Heterogeneous Data, Computing, and Complex Processing Services. - 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; et al. (IEEE Trans. Inf. Technol. Biomed., 2010)

General Sales Forecast Models for Automobile Markets Based on Time Series Analysis and Data Mining Techniques. - Marco Hülsmann; Detlef Borscheid; Christoph M. Friedrich; Dirk Reith (ICDM, 2011)

Challenges in the association of human single nucleotide polymorphism mentions with unique database identifiers. - Philippe E. Thomas; Roman Klinger; Laura Inés Furlong; Martin Hofmann-Apitius; Christoph M. Friedrich (BMC Bioinform., 2011)

Mining biomarker information in biomedical literature. - Erfan Younesi; Luca Toldo; Bernd Müller; Christoph M. Friedrich; Natalia Novac; Alexander Scheer; Martin Hofmann-Apitius; Juliane Fluck (BMC Medical Informatics Decis. Mak., 2012)

General Sales Forecast Models for Automobile Markets and their Analysis. - Marco Hülsmann; Detlef Borscheid; Christoph M. Friedrich; Dirk Reith (Trans. Mach. Learn. Data Min., 2012)

Selection of representative SNP sets for genome-wide association studies: a metaheuristic approach. - Gürkan Üstünkar; Süreyya Özögür-Akyüz; Gerhard-Wilhelm Weber; Christoph M. Friedrich; Yesim Aydin Son (Optim. Lett., 2012)

FHDO Biomedical Computer Science Group at Medical Classification Task of ImageCLEF 2015. - Obioma Pelka; Christoph M. Friedrich (CLEF (Working Notes), 2015)

Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016. - Sven Koitka; Christoph M. Friedrich (CLEF (Working Notes), 2016)

nmfgpu4R: GPU-Accelerated Computation of the Non-Negative Matrix Factorization (NMF) Using CUDA Capable Hardware. - Sven Koitka; Christoph M. Friedrich (R J., 2016)

Recognizing Bird Species in Audio Files Using Transfer Learning. - Andreas Fritzler; Sven Koitka; Christoph M. Friedrich (CLEF (Working Notes), 2017)

Optimized Convolutional Neural Network Ensembles for Medical Subfigure Classification. - Sven Koitka; Christoph M. Friedrich (CLEF, 2017)

Improving Model Performance for Plant Image Classification With Filtered Noisy Images. - Andreas R. Ludwig; Helga Piorek; Andreas H. Kelch; David Rex; Sven Koitka; Christoph M. Friedrich (CLEF (Working Notes), 2017)

Keyword Generation for Biomedical Image Retrieval with Recurrent Neural Networks. - Obioma Pelka; Christoph M. Friedrich (CLEF (Working Notes), 2017)

Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression. - Marcel Trotzek; Sven Koitka; Christoph M. Friedrich (CLEF (Working Notes), 2017)

Early Detection of Depression Based on Linguistic Metadata Augmented Classifiers Revisited - Best of the eRisk Lab Submission. - Marcel Trotzek; Sven Koitka; Christoph M. Friedrich (CLEF, 2017)

Object Detection Featuring 3D Audio Localization for Microsoft HoloLens - A Deep Learning based Sensor Substitution Approach for the Blind. - Martin Eckert; Matthias Blex; Christoph M. Friedrich (HEALTHINF, 2018)

Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval. - Obioma Pelka; Felix Nensa; Christoph M. Friedrich (BIOIMAGING, 2018)

Word Embeddings and Linguistic Metadata at the CLEF 2018 Tasks for Early Detection of Depression and Anorexia. - Marcel Trotzek; Sven Koitka; Christoph M. Friedrich (CLEF (Working Notes), 2018)

Optimizing Body Region Classification with Deep Convolutional Activation Features. - Obioma Pelka; Felix Nensa; Christoph M. Friedrich (ECCV Workshops (4), 2018)

Proof-of-Property - A Lightweight and Scalable Blockchain Protocol. - Christopher Ehmke; Florian Wessling; Christoph M. Friedrich (WETSEB@ICSE, 2018)

Radiology Objects in COntext (ROCO): A Multimodal Image Dataset. - Obioma Pelka; Sven Koitka; Johannes Rückert; Felix Nensa; Christoph M. Friedrich (CVII-STENT/LABELS@MICCAI, 2018)

ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature. - 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; et al. (CLEF, 2019)

Overview of the ImageCLEFmed 2019 Concept Detection Task. - Obioma Pelka; Christoph M. Friedrich; Alba García Seco de Herrera; Henning Müller (CLEF (Working Notes), 2019)

ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security Applications. - Bogdan Ionescu; Henning Müller; Renaud Péteri; Duc-Tien Dang-Nguyen; Luca Piras 001; Michael Riegler 001; Minh-Triet Tran; Mathias Lux; Cathal Gurrin; Yashin Dicente Cid; Vitali Liauchuk; Vassili Kovalev; et al. (ECIR (2), 2019)

A Comparative Evaluation of SteamVR Tracking and the OptiTrack System for Medical Device Tracking. - Tim Ameler; Kai Blohme; Lilith Brandt; Raphael Brüngel; Alice Hensel; Lisa Huber; Francis Kuper; Jessica Swoboda; Maren Warnecke; Michaela Warzecha; Daniel Heß; Johannes Frömke; et al. (EMBC, 2019)

Classification of Alzheimer's Disease using volumetric features of multiple MRI scans. - Louise Bloch; Christoph M. Friedrich (EMBC, 2019)

Variations on Branding with Text Occurrence for Optimized Body Parts Classification. - Obioma Pelka; Felix Nensa; Christoph M. Friedrich (EMBC, 2019)

UMLS mapping and Word embeddings for ICD code assignment using the MIMIC-III intensive care database. - Henning Schäfer; Christoph M. Friedrich (EMBC, 2019)

Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition. - Obioma Pelka; Felix Nensa; Christoph M. Friedrich (ICCV Workshops, 2019)

The Effects of Colour Enhancement and IoU Optimisation on Object Detection and Segmentation of Coral Reef Structures. - Marina Arendt; Johannes Rückert; Raphael Brüngel; Christopher Brumann; Christoph M. Friedrich (CLEF (Working Notes), 2020)

Combination of Image and Location Information for Snake Species Identification using Object Detection and EfficientNets. - Louise Bloch; Adrian Boketta; Christopher Keibel; Eric Mense; Alex Michailutschenko; Obioma Pelka; Johannes Rückert; Leon Willemeit; Christoph M. Friedrich (CLEF (Working Notes), 2020)

Overview of the ImageCLEF 2020: Multimedia Retrieval in Medical, Lifelogging, Nature, and Internet Applications. - 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; et al. (CLEF, 2020)

Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding. - Obioma Pelka; Christoph M. Friedrich; Alba García Seco de Herrera; Henning Müller (CLEF (Working Notes), 2020)

Multilingual ICD-10 Code Assignment with Transformer Architectures using MIMIC-III Discharge Summaries. - Henning Schäfer; Christoph M. Friedrich (CLEF (Working Notes), 2020)

Project-Based Learning in a Machine Learning Course with Differentiated Industrial Projects for Various Computer Science Master Programs. - Raphael Brüngel; Johannes Rückert; Christoph M. Friedrich (CSEE&T, 2020)

ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Internet Applications. - Bogdan Ionescu; Henning Müller; Renaud Péteri; Duc-Tien Dang-Nguyen; Liting Zhou; Luca Piras 001; Michael Riegler 001; Pål Halvorsen; Minh-Triet Tran; Mathias Lux; Cathal Gurrin; Jon Chamberlain; et al. (ECIR (2), 2020)

Using Bayesian Optimization to Effectively Tune Random Forest and XGBoost Hyperparameters for Early Alzheimer's Disease Diagnosis. - Louise Bloch; Christoph M. Friedrich (MobiHealth, 2020)

Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks. - Sven Koitka; Moon S. Kim 002; Ming Qu; Asja Fischer; Christoph M. Friedrich; Felix Nensa (Medical Image Anal., 2020)

Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences. - Marcel Trotzek; Sven Koitka; Christoph M. Friedrich (IEEE Trans. Knowl. Data Eng., 2020)

Developing a Machine Learning Workflow to Explain Black-box Models for Alzheimer's Disease Classification. - Louise Bloch; Christoph M. Friedrich (HEALTHINF, 2021)

Comparison of Automated Volume Extraction with FreeSurfer and FastSurfer for Early Alzheimer's Disease Detection with Machine Learning. - Louise Bloch; Christoph M. Friedrich (CBMS, 2021)

DETR and YOLOv5: Exploring Performance and Self-Training for Diabetic Foot Ulcer Detection. - Raphael Brüngel; Christoph M. Friedrich (CBMS, 2021)

EfficientNets and Vision Transformers for Snake Species Identification Using Image and Location Information. - Louise Bloch; Christoph M. Friedrich (CLEF (Working Notes), 2021)

Overview of the ImageCLEF 2021: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications. - 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; et al. (CLEF, 2021)

Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task. - Obioma Pelka; Asma Ben Abacha; Alba Garcia Seco de Herrera; Janadhip Jacutprakart; Christoph M. Friedrich; Henning Müller (CLEF (Working Notes), 2021)

The 2021 ImageCLEF Benchmark: Multimedia Retrieval in Medical, Nature, Internet and Social Media Applications. - 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; et al. (ECIR (2), 2021)

Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers. - Louise Bloch; Raphael Brüngel; Christoph M. Friedrich (DFUC@MICCAI, 2021)

WisPerMed Text at TREC Clinical Trials Track 2021. - Henning Schäfer; Ahmad Idrissi-Yaghir; Wolfgang Galetzka; Marie Bexte; Christoph M. Friedrich (TREC, 2021)

Deep learning in diabetic foot ulcers detection: A comprehensive evaluation. - Moi Hoon Yap; Ryo Hachiuma; Azadeh Alavi; Raphael Brüngel; Bill Cassidy; Manu Goyal; Hongtao Zhu; Johannes Rückert; Moshe Olshansky; Xiao Huang; Hideo Saito 001; Saeed Hassanpour; et al. (Comput. Biol. Medicine, 2021)

Classification and Direction Detection of Ambient Sounds on Microsoft HoloLens to Support Hearing-impaired People. - Beauclair Dongmo Ngnintedem; Eric Mense; Johannes Rückert; Christoph M. Friedrich (HEALTHINF, 2022)

Heart Rate Estimation based on Optical Flow: Enabling Smooth Angle Changes in Ultrasound Simulation. - Henning Schäfer; Hendrik Damm; Christoph M. Friedrich (BIOSIGNALS, 2022)

Combination of Object Detection, Geospatial Data, and Feature Concatenation for Snake Species Identification. - Louise Bloch; Jan-Frederick Böckmann; Benjamin Bracke; Christoph M. Friedrich (CLEF (Working Notes), 2022)

Overview of the ImageCLEF 2022: Multimedia Retrieval in Medical, Social Media and Nature Applications. - 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; et al. (CLEF, 2022)

Overview of ImageCLEFmedical 2022 - Caption Prediction and Concept Detection. - Johannes Rückert; Asma Ben Abacha; Alba Garcia Seco de Herrera; Louise Bloch; Raphael Brüngel; Ahmad Idrissi-Yaghir; Henning Schäfer; Henning Müller; Christoph M. Friedrich (CLEF (Working Notes), 2022)

ImageCLEF 2022: Multimedia Retrieval in Medical, Nature, Fusion, and Internet Applications. - 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; et al. (ECIR (2), 2022)

Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension. - Raphael Brüngel; Sven Koitka; Christoph M. Friedrich (DFUC@MICCAI, 2022)

Bayesian network analysis reveals the interplay of intracranial aneurysm rupture risk factors. - Matteo Delucchi; Georg Ralph Spinner; Marco Scutari; Philippe Bijlenga; Sandrine Morel; Christoph M. Friedrich; Reinhard Furrer; Sven Hirsch (Comput. Biol. Medicine, 2022)

Machine Learning Workflow to Explain Black-Box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets. - Louise Bloch; Christoph M. Friedrich (SN Comput. Sci., 2022)

Joint Feature Learning of Image Data with Embedded Metadata to Leverage Snake Species Classification. - Benjamin Bracke; Mohammadreza Bagherifar; Louise Bloch; Christoph M. Friedrich (CLEF (Working Notes), 2023)

Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications. - 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; et al. (CLEF, 2023)

Overview of ImageCLEFmedical 2023 - Caption Prediction and Concept Detection. - Johannes Rückert; Asma Ben Abacha; Alba Garcia Seco de Herrera; Louise Bloch; Raphael Brüngel; Ahmad Idrissi-Yaghir; Henning Schäfer; Henning Müller; Christoph M. Friedrich (CLEF (Working Notes), 2023)

Why is the Winner the Best? - 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; et al. (CVPR, 2023)

ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Claudia Dragulinescu; Adrian Popescu 001; Ahmad Idrissi-Yaghir; Alba García Seco de Herrera; Alexandra Andrei; Alexandru Stan; Andrea M. Storås; Asma Ben Abacha; Christoph M. Friedrich; George Ioannidis; et al. (ECIR (3), 2023)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Seibold; Jianning Li 002; Lars Heiliger; Christoph M. Friedrich; Daniel Truhn; Jan Egger; Jiang Bian 001; et al. (EMNLP (Findings), 2023)

PreprintResolver: Improving Citation Quality by Resolving Published Versions of ArXiv Preprints Using Literature Databases. - Louise Bloch; Johannes Rückert; Christoph M. Friedrich (TPDL, 2023)

Teaching Machine Learning with Industrial Projects in a Joint Computer Science Master Course: Experiences, Challenges, Perspectives. - Raphael Brüngel; Benjamin Bracke; Johannes Rückert; Christoph M. Friedrich (GECon, 2023)

App-Guided ICAROS Pro Training via SteamVR Tracking 2.0 and Zephyr BioHarness 3.0. - 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; et al. (IDAACS, 2023)

On the Impact of Cross-Domain Data on German Language Models. - Amin Dada; Aokun Chen; Cheng Peng 009; Kaleb E. Smith; Ahmad Idrissi-Yaghir; Constantin Marc Seibold; Jianning Li 002; Lars Heiliger; Xi Yang 015; Christoph M. Friedrich; Daniel Truhn; Jan Egger; et al. (CoRR, 2023)

Medication event extraction in clinical notes: Contribution of the WisPerMed team to the n2c2 2022 challenge. - Henning Schäfer; Ahmad Idrissi-Yaghir; Jeanette Bewersdorff; Sameh Frihat; Christoph M. Friedrich; Torsten Zesch (J. Biomed. Informatics, 2023)

Static and Dynamic Accuracy and Occlusion Robustness of SteamVR Tracking 2.0 in Multi-Base Station Setups. - 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; et al. (Sensors, 2023)

Domain Adaptation of Transformer-Based Models Using Unlabeled Data for Relevance and Polarity Classification of German Customer Feedback. - Ahmad Idrissi-Yaghir; Henning Schäfer; Nadja Bauer; Christoph M. Friedrich (SN Comput. Sci., 2023)

ROCOv2: Radiology Objects in COntext Version 2, An Updated Multimodal Image Dataset. - 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; et al. (Zenodo, 2023)

ROCOv2: Radiology Objects in COntext Version 2, An Updated Multimodal Image Dataset. - 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; et al. (Zenodo, 2023)

WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV. - Hendrik Damm; Tabea Margareta Grace Pakull; Bahadir Eryilmaz; Helmut Becker; Ahmad Idrissi-Yaghir; Henning Schäfer; Sergej Schultenkämper; Christoph M. Friedrich (BioNLP@ACL, 2024)

WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles. - Tabea Margareta Grace Pakull; Hendrik Damm; Ahmad Idrissi-Yaghir; Henning Schäfer; Peter A. Horn; Christoph M. Friedrich (BioNLP@ACL, 2024)

Overview of the ImageCLEF 2024: Multimedia Retrieval in Medical Applications. - Bogdan Ionescu; Henning Müller; Ana-Maria Dragulinescu; Johannes Rückert; Asma Ben Abacha; Alba García Seco de Herrera; Louise Bloch; Raphael Brüngel; Ahmad Idrissi-Yaghir; Henning Schäfer; Cynthia Sabrina Schmidt; Tabea Margareta Grace Pakull; et al. (CLEF (2), 2024)

Overview of ImageCLEFmedical 2024 - Caption Prediction and Concept Detection. - 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; et al. (CLEF (Working Notes), 2024)

Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. - Ahmad Idrissi-Yaghir; Amin Dada; Henning Schäfer; Kamyar Arzideh; Giulia Baldini 001; Jan Trienes; Max Hasin; Jeanette Bewersdorff; Cynthia S. Schmidt; Marie Bauer; Kaleb E. Smith; Jiang Bian 001; et al. (LREC/COLING, 2024)

Advancing Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications with ImageCLEF 2024. - 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 001; et al. (ECIR (6), 2024)

Diabetic Foot Ulcer Grand Challenge 2024: Overview and Baseline Methods. - Raphael Brüngel; Connah Kendrick; Bill Cassidy; Benjamin Bracke; Christoph M. Friedrich; Neil D. Reeves; Joseph M. Pappachan; Moi Hoon Yap (DFUC@MICCAI, 2024)

ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset. - 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; et al. (CoRR, 2024)

SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees. - Sven Koitka; Giulia Baldini 001; Cynthia S. Schmidt; Olivia B. Pollok; Obioma Pelka; Judith Kohnke; Katarzyna Borys; Christoph M. Friedrich; Benedikt M. Schaarschmidt; Michael Forsting; Lale Umutlu; Johannes Haubold; et al. (CoRR, 2024)

Diabetic foot ulcers segmentation challenge report: Benchmark and analysis. - 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; et al. (Medical Image Anal., 2024)

Systematic comparison of 3D Deep learning and classical machine learning explanations for Alzheimer's Disease detection. - Louise Bloch; Christoph M. Friedrich (Comput. Biol. Medicine, 2024)

Monitoring Flow-Forming Processes Using Design of Experiments and a Machine Learning Approach Based on Randomized-Supervised Time Series Forest and Recursive Feature Elimination. - Leroy Anozie; Bodo Fink; Christoph M. Friedrich; Christoph Engels (Sensors, 2024)

Overview of ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - Bogdan Ionescu; Henning Müller; Dan-Cristian Stanciu; Alexandra-Georgiana Andrei; Ahmedkhan Radzhabov; Yuri Prokopchuk; Liviu-Daniel Stefan; Mihai Gabriel Constantin; Mihai Dogariu; Vassili Kovalev; Hendrik Damm; Johannes Rückert; et al. (CLEF, 2025)

ImageCLEF 2025: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications. - Bogdan Ionescu; Henning Müller; Dan-Cristian Stanciu; Ahmad Idrissi-Yaghir; Ahmedkhan Radzhabov; Alba García Seco de Herrera; Alexandra Andrei; Andrea M. Storås; Asma Ben Abacha; Benjamin Bracke; Benjamin Lecouteux; Benno Stein 001; et al. (ECIR (5), 2025)

From BERT to generative AI - Comparing encoder-only vs. large language models in a cohort of lung cancer patients for named entity recognition in unstructured medical reports. - Kamyar Arzideh; Henning Schäfer; Héctor Allende-Cid; Giulia Baldini 001; Thomas Hilser; Ahmad Idrissi-Yaghir; Katharina Laue; Nilesh Chakraborty; Niclas Doll; Dario Antweiler; Katrin Klug; Niklas Beck; et al. (Comput. Biol. Medicine, 2025)

An enhanced harmonic densely connected hybrid transformer network architecture for chronic wound segmentation utilising multi-colour space tensor merging. - Bill Cassidy; Christian McBride; Connah Kendrick; Neil D. Reeves; Joseph M. Pappachan; Cornelius J. Fernandez; Elias Chacko; Raphael Brüngel; Christoph M. Friedrich; Metib Alotaibi; Abdullah Abdulaziz AlWabel; Mohammad Alderwish; et al. (Comput. Biol. Medicine, 2025)

A Multimodal Pipeline for Clinical Data Extraction: Applying Vision-Language Models to Scans of Transfusion Reaction Reports. - Henning Schäfer; Cynthia S. Schmidt; Johannes Wutzkowsky; Kamil Lorek; Lea Reinartz; Johannes Rückert; Christian Temme; Britta Böckmann; Peter A. Horn; Christoph M. Friedrich (CoRR, 2025)

Evaluating Compliance with Visualization Guidelines in Diagrams for Scientific Publications Using Large Vision Language Models. - Johannes Rückert; Louise Bloch; Christoph M. Friedrich (CoRR, 2025)

Comparative Analysis of CNN and Transformer Architectures with Heart Cycle Normalization for Automated Phonocardiogram Classification. - Martin Sondermann; Pinar Bisgin; Niklas Tschorn; Anja Burmann; Christoph M. Friedrich (CoRR, 2025)