Sven Koitka
Orcid: 0000-0001-9704-1180
According to our database1,
Sven Koitka
authored at least 14 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
Dataset, November, 2023
2022
Unconditionally Generated and Pseudo-Labeled Synthetic Images for Diabetic Foot Ulcer Segmentation Dataset Extension.
Proceedings of the Diabetic Foot Ulcers Grand Challenge - Third Challenge, 2022
2020
Utilizing Neural Networks and Linguistic Metadata for Early Detection of Depression Indications in Text Sequences.
IEEE Trans. Knowl. Data Eng., 2020
Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks.
Medical Image Anal., 2020
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks.
CoRR, 2020
2018
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018
Word Embeddings and Linguistic Metadata at the CLEF 2018 Tasks for Early Detection of Depression and Anorexia.
Proceedings of the Working Notes of CLEF 2018, 2018
2017
Early Detection of Depression Based on Linguistic Metadata Augmented Classifiers Revisited - Best of the eRisk Lab Submission.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017
Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression.
Proceedings of the Working Notes of CLEF 2017, 2017
Improving Model Performance for Plant Image Classification With Filtered Noisy Images.
Proceedings of the Working Notes of CLEF 2017, 2017
Optimized Convolutional Neural Network Ensembles for Medical Subfigure Classification.
Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2017
Proceedings of the Working Notes of CLEF 2017, 2017
2016
nmfgpu4R: GPU-Accelerated Computation of the Non-Negative Matrix Factorization (NMF) Using CUDA Capable Hardware.
R J., 2016
Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016.
Proceedings of the Working Notes of CLEF 2016, 2016