| 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 | 243 | 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 | 210 | 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 | 91 | 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 | 77* | 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 | 60 | 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 | 57 | 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 | 54 | 2020 |
| Optimized convolutional neural network ensembles for medical subfigure classification S Koitka, CM Friedrich Experimental IR Meets Multilinguality, Multimodality, and Interaction: 8th …, 2017 | 32 | 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 | 25 | 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 | 23 | 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 | 21 | 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 | 14 | 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 | 14 | 2016 |
| Recognizing Bird Species in Audio Files Using Transfer Learning. A Fritzler, S Koitka, CM Friedrich CLEF (Working Notes), 2017 | 13 | 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 | 6 | 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 | 5 | 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 | 4 | 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 | 4 | 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 | 1 | 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 | 1 | 2022 |
