| 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 | 57 | 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 | 43 | 2016 |
| 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 | 30 | 2020 |
| 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 | 29 | 2018 |
| Linguistic Metadata Augmented Classifiers at the CLEF 2017 Task for Early Detection of Depression. M Trotzek, S Koitka, CM Friedrich CLEF (Working Notes), 2017 | 25 | 2017 |
| Word Embeddings and Linguistic Metadata at the CLEF 2018 Tasks for Early Detection of Depression and Anorexia. M Trotzek, S Koitka, CM Friedrich CLEF (Working Notes), 2018 | 21 | 2018 |
| Optimized convolutional neural network ensembles for medical subfigure classification S Koitka, CM Friedrich International Conference of the Cross-Language Evaluation Forum for European …, 2017 | 20 | 2017 |
| Recognizing Bird Species in Audio Files Using Transfer Learning. A Fritzler, S Koitka, CM Friedrich CLEF (Working Notes), 2017 | 10 | 2017 |
| 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 | 10 | 2016 |
| 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 | 9 | 2018 |
| 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 M Trotzek, S Koitka, CM Friedrich International Conference of the Cross-Language Evaluation Forum for European …, 2018 | 3 | 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 | 1 | 2020 |
| Big Imaging Data: Klinische Bildanalyse mit Radiomics und Deep Learning A Demircioglu, S Koitka, F Nensa Der Nuklearmediziner 42 (02), 97-111, 2019 | 1 | 2019 |
| 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 | | 2020 |
| 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 …, 2020 | | 2020 |
| Radiology Objects in Context (ROCO) O Pelka, S Koitka, J Rückert, F Nensa, C Friedrich | | 2018 |
| Package ‘nmfgpu4R’ S Koitka, CM Friedrich, MS Koitka | | 2016 |
