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)

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)

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)

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)

Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks. - Sven Koitka; Lennard Kroll; Eugen Malamutmann; Arzu Oezcelik; Felix Nensa (CoRR, 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)

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

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)

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)