| 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 | 376 | 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 | 297 | 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 | 210 | 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 | 93 | 2020 |
| 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 | 93* | 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 | 68 | 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 | 63 | 2017 |
| 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 | 35 | 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 | 34 | 2021 |
| 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 | 29 | 2018 |
| 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 | 22 | 2021 |
| Recognizing Bird Species in Audio Files Using Transfer Learning. A Fritzler, S Koitka, CM Friedrich CLEF (Working Notes), 2017 | 22 | 2017 |
| 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 | 13 | 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 | 13 | 2022 |
| 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 | 13 | 2022 |
| 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 | 12 | 2016 |
| 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 | 10 | 2022 |
| 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 | 8 | 2023 |
| Adipopenia in body composition analysis: a promising imaging biomarker and potential predictive factor for patients undergoing transjugular intrahepatic portosystemic shunt … GL Alatzides, J Haubold, HL Steinberg, S Koitka, V Parmar, J Grueneisen, ... The British Journal of Radiology 96 (1146), 20220863, 2023 | 8 | 2023 |
