Sven Koitka

17 papers Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
Diabetic foot ulcers segmentation challenge report: Benchmark and analysis.
Medical Image Anal.
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
2024 J jnl
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset.
CoRR
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
2024 J jnl
SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees.
CoRR
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
2022 — conf
Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension.
DFUC@MICCAI
Raphael Brüngel, Sven Koitka, Christoph M. Friedrich
2020 J jnl
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks.
CoRR
Sven Koitka, Lennard Kroll, Eugen Malamutmann, Arzu Oezcelik, Felix Nensa
2020 J jnl
Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks.
Medical Image Anal.
Sven Koitka, Moon S. Kim, Ming Qu, Asja Fischer, Christoph M. Friedrich, Felix Nensa
2020 J jnl
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences.
IEEE Trans. Knowl. Data Eng.
Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
2018 — conf
Radiology Objects in COntext (ROCO): A Multimodal Image Dataset.
CVII-STENT/LABELS@MICCAI
Obioma Pelka, Sven Koitka, Johannes Rückert, Felix Nensa, Christoph M. Friedrich
2018 J jnl
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences.
CoRR
Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
2018 — conf
Word Embeddings and Linguistic Metadata at the CLEF 2018 Tasks for Early Detection of Depression and Anorexia.
CLEF (Working Notes)
Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
2017 — conf
Early Detection of Depression Based on Linguistic Metadata Augmented Classifiers Revisited - Best of the eRisk Lab Submission.
CLEF
Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
2017 — conf
Improving Model Performance for Plant Image Classification With Filtered Noisy Images.
CLEF (Working Notes)
Andreas R. Ludwig, Helga Piorek, Andreas H. Kelch, David Rex, Sven Koitka, Christoph M. Friedrich
2017 — conf
Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression.
CLEF (Working Notes)
Marcel Trotzek, Sven Koitka, Christoph M. Friedrich
2017 — conf
Optimized Convolutional Neural Network Ensembles for Medical Subfigure Classification.
CLEF
Sven Koitka, Christoph M. Friedrich
2017 — conf
Recognizing Bird Species in Audio Files Using Transfer Learning.
CLEF (Working Notes)
Andreas Fritzler, Sven Koitka, Christoph M. Friedrich
2016 — conf
Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016.
CLEF (Working Notes)
Sven Koitka, Christoph M. Friedrich
2016 J jnl
nmfgpu4R: GPU-Accelerated Computation of the Non-Negative Matrix Factorization (NMF) Using CUDA Capable Hardware.
R J.
Sven Koitka, Christoph M. Friedrich