| Comparison of deep learning approaches for multi-label chest X-ray classification IM Baltruschat, H Nickisch, M Grass, T Knopp, A Saalbach Scientific reports 9 (1), 1-10, 2019 | 136 | 2019 |
| Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting N Gessert, T Sentker, F Madesta, R Schmitz, H Kniep, I Baltruschat, ... arXiv preprint arXiv:1808.01694, 2018 | 34 | 2018 |
| Skin lesion classification using cnns with patch-based attention and diagnosis-guided loss weighting N Gessert, T Sentker, F Madesta, R Schmitz, H Kniep, I Baltruschat, ... IEEE Transactions on Biomedical Engineering 67 (2), 495-503, 2019 | 26 | 2019 |
| Deep Learning for Pneumothorax Detection and Localization in Chest Radiographs A Gooßen, H Deshpande, T Harder, E Schwab, I Baltruschat, ... arXiv preprint arXiv:1907.07324, 2019 | 7 | 2019 |
| When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification? IM Baltruschat, L Steinmeister, H Ittrich, G Adam, H Nickisch, A Saalbach, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 6 | 2019 |
| Pneumothorax detection and localization in chest radiographs: A comparison of deep learning approaches A Gooßen, H Deshpande, T Harder, E Schwab, I Baltruschat, ... Medical Imaging with Deep Learning (MIDL), 2019 | 2 | 2019 |
| Orientation regression in hand radiographs: a transfer learning approach IM Baltruschat, A Saalbach, MP Heinrich, H Nickisch, S Jockel Medical Imaging 2018: Image Processing 10574, 105741W, 2018 | 1 | 2018 |
| System and method for image decomposition of a projection image IM Baltruschat, T Knopp, H Nickisch, A Saalbach US Patent App. 16/962,548, 2020 | | 2020 |
| Smart chest X-ray worklist prioritization using artificial intelligence: a clinical workflow simulation I Baltruschat, L Steinmeister, H Nickisch, A Saalbach, M Grass, G Adam, ... European Radiology, 1-9, 2020 | | 2020 |
| 3d-SMRnet: Achieving a new quality of MPI system matrix recovery by deep learning IM Baltruschat, P Szwargulski, F Griese, M Grosser, R Werner, T Knopp International Conference on Medical Image Computing and Computer-Assisted …, 2020 | | 2020 |
| Smart Chest X-ray Worklist Prioritization using Artificial Intelligence: A Clinical Workflow Simulation IM Baltruschat, L Steinmeister, H Nickisch, A Saalbach, M Grass, G Adam, ... arXiv preprint arXiv:2001.08625, 2020 | | 2020 |
| Intelligent Chest X-Ray Worklist Prioritization by Deep Learning L Steinmeister, IM Baltruschat, H Ittrich, A Saalbach, H Nickisch, M Grass, ... European Congress of Radiology-ECR 2020, 2020 | | 2020 |
| Wrestling the Devil of Wasting Time: MPI System Matrix Recovery by Deep Learning IM Baltruschat, F Griese, P Szwargulski, R Werner, T Knopp IWMPI, 2019 | | 2019 |
| Neuronale Netze zur Pathologiedetektion bei Röntgenthoraxuntersuchungen: Verbesserung durch intelligente Vorverarbeitung I Baltruschat, M Grass, A Saalbach, H Nickisch, J von Berg, L Steinmeister, ... RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2019 | | 2019 |
| Effect of advanced image preprocessing for multi-label chest X-ray classification M Grass, IM Baltruschat, A Saalbach, H Nickisch, J von Berg, H Ittrich, ... European Congress of Radiology-ECR 2019, 2019 | | 2019 |
| Does Bone Suppression and Lung Detection Improve Chest Disease Classification? IM Baltruschat, LA Steinmeister, H Ittrich, G Adam, H Nickisch, A Saalbach, ... Bildverarbeitung für die Medizin 2019, 184-184, 2019 | | 2019 |
Tobias KnoppProfessor for Biomedical Imaging, University Medical Center Hamburg-Eppendorf and Hamburg UniversityVerified email at knoppweb.de
