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 | 338 | 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 | 282 | 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 | 178 | 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 | 90* | 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 | 86 | 2020 |
Traditional Feature Engineering and Deep Learning Approaches at Medical Classification Task of ImageCLEF 2016. S Koitka, CM Friedrich CLEF (Working Notes), 304-317, 2016 | 65 | 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 |
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 | 33 | 2021 |
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 | 33 | 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 | 28 | 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 | 19 | 2021 |
Recognizing Bird Species in Audio Files Using Transfer Learning. A Fritzler, S Koitka, CM Friedrich CLEF (Working Notes), 2017 | 19 | 2017 |
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 | 12 | 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 |
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 | 9 | 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 | 8 | 2022 |
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 | 7 | 2022 |
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 | 7 | 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 | 7 | 2017 |