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Sven Koitka
Sven Koitka
University Hospital Essen, Institute of Diagnostic and Interventional Radiology and Neuroradiology, Essen, Germany
Verified email at uk-essen.de
Title
Cited by
Cited by
Year
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...
JAMA network open 3 (3), e200265-e200265, 2020
3262020
Utilizing neural networks and linguistic metadata for early detection of depression indications in text sequences
M Trotzek, S Koitka, CM Friedrich
IEEE Transactions on Knowledge and Data Engineering 32 (3), 588-601, 2018
2722018
Radiology objects in context (roco): a multimodal image dataset
O Pelka, S Koitka, J Rückert, F Nensa, CM Friedrich
Intravascular Imaging and Computer Assisted Stenting and Large-Scale …, 2018
1692018
Word embeddings and linguistic metadata at the CLEF 2018 Tasks for early detection of depression and anorexia: FHDO Biomedical Science Group (BCSG)
M Trotzek, S Koitka, CM Friedrich
Experimental IR meets multilinguality, multimodality, and interaction: 9th …, 2018
89*2018
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks
S Koitka, L Kroll, E Malamutmann, A Oezcelik, F Nensa
European Radiology, doi 10.1007/s00330-020-07147-3, 2020
782020
Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016.
S Koitka, CM Friedrich
CLEF (Working Notes), 304-317, 2016
642016
Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression.
M Trotzek, S Koitka, CM Friedrich
CLEF (working notes), 2017, 2017
632017
Optimized convolutional neural network ensembles for medical subfigure classification
S Koitka, CM Friedrich
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017
322017
Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network
J Haubold, R Hosch, L Umutlu, A Wetter, P Haubold, A Radbruch, ...
European Radiology 31, 6087-6095, 2021
312021
Mimicking the radiologists’ workflow: Estimating pediatric hand bone age with stacked deep neural networks
S Koitka, MS Kim, M Qu, A Fischer, CM Friedrich, F Nensa
Medical image analysis 64, 101743, 2020
312020
Ossification area localization in pediatric hand radiographs using deep neural networks for object detection
S Koitka, A Demircioglu, MS Kim, CM Friedrich, F Nensa
PloS one 13 (11), e0207496, 2018
282018
Recognizing Bird Species in Audio Files Using Transfer Learning.
A Fritzler, S Koitka, CM Friedrich
CLEF (Working Notes), 2017
192017
Assessing the role of pericardial fat as a biomarker connected to coronary calcification—a deep learning based approach using fully automated body composition analysis
L Kroll, K Nassenstein, M Jochims, S Koitka, F Nensa
Journal of Clinical Medicine 10 (2), 356, 2021
172021
nmfgpu4R: GPU-Accelerated Computation of the Non-Negative Matrix Factorization (NMF) Using CUDA Capable Hardware.
S Koitka, CM Friedrich
R J. 8 (2), 382, 2016
122016
CT-derived body composition analysis could possibly replace DXA and BIA to monitor NET-patients
L Kroll, A Mathew, G Baldini, R Hosch, S Koitka, J Kleesiek, C Rischpler, ...
Scientific Reports 12 (1), 13419, 2022
92022
Fully automated preoperative liver volumetry incorporating the anatomical location of the central hepatic vein
S Koitka, P Gudlin, JM Theysohn, A Oezcelik, DP Hoyer, M Dayangac, ...
Scientific Reports 12 (1), 16479, 2022
82022
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
R Hosch, M Weber, M Sraieb, N Flaschel, J Haubold, MS Kim, L Umutlu, ...
European journal of nuclear medicine and molecular imaging 49 (13), 4503-4515, 2022
72022
Early Detection of Depression Based on Linguistic Metadata Augmented Classifiers Revisited: Best of the eRisk Lab Submission
M Trotzek, S Koitka, CM Friedrich
International Conference of the Cross-Language Evaluation Forum for European …, 2018
72018
Improving Model Performance for Plant Image Classification With Filtered Noisy Images.
AR Ludwig, H Piorek, AH Kelch, D Rex, S Koitka, CM Friedrich
CLEF (Working Notes), 2017
72017
FHIR-PYrate: a data science friendly Python package to query FHIR servers
R Hosch, G Baldini, V Parmar, K Borys, S Koitka, M Engelke, K Arzideh, ...
BMC Health Services Research 23 (1), 734, 2023
62023
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