Sven Koitka
Sven Koitka
University Hospital Essen, Institute of Diagnostic and Interventional Radiology and Neuroradiology, Essen, Germany
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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
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
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
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
Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016.
S Koitka, CM Friedrich
CLEF (Working Notes), 304-317, 2016
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
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
Optimized convolutional neural network ensembles for medical subfigure classification
S Koitka, CM Friedrich
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017
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
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
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
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
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
Recognizing Bird Species in Audio Files Using Transfer Learning.
A Fritzler, S Koitka, CM Friedrich
CLEF (Working Notes), 2017
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
Early Detection of Depression Based on Linguistic Metadata Augmented Classifiers Revisited: Best of the eRisk Lab Submission
M Trotzek, S Koitka, CM Friedrich
Experimental IR Meets Multilinguality, Multimodality, and Interaction: 9th …, 2018
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
Differentiation between anteroposterior and posteroanterior chest X-ray view position with convolutional neural networks
R Hosch, L Kroll, F Nensa, S Koitka
RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2021
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
Biomarkers extracted by fully automated body composition analysis from chest CT correlate with SARS-CoV-2 outcome severity
R Hosch, S Kattner, MM Berger, T Brenner, J Haubold, J Kleesiek, ...
Scientific Reports 12 (1), 16411, 2022
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