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Sven Koitka

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2020 – today

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2024
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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)
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  - journals/corr/abs-2405-10004
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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)
[i3]
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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
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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]
2022
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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
2020
[j3]
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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)
[j2]
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  - journals/tkde/TrotzekKF20
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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)
[i2]
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  - journals/corr/abs-2002-10776
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Sven Koitka, Lennard Kroll, Eugen Malamutmann, Arzu Oezcelik, Felix Nensa:
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks. CoRR abs/2002.10776 (2020)

2010 – 2019

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2018
[c8]
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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
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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
[i1]
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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)
2017
[c6]
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Andreas Fritzler, Sven Koitka, Christoph M. Friedrich:
Recognizing Bird Species in Audio Files Using Transfer Learning. CLEF (Working Notes) 2017
[c5]
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Sven Koitka, Christoph M. Friedrich:
Optimized Convolutional Neural Network Ensembles for Medical Subfigure Classification. CLEF 2017: 57-68
[c4]
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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
[c3]
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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
[c2]
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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
[j1]
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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)
[c1]
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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

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