| Multiple trajectory prediction with deep temporal and spatial convolutional neural networks J Strohbeck, V Belagiannis, J Müller, M Schreiber, M Herrmann, D Wolf, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 38 | 2020 |
| Sarcopenia–definition, radiological diagnosis, clinical significance D Vogele, S Otto, N Sollmann, B Haggenmüller, D Wolf, M Beer, ... RöFo-Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden …, 2023 | 25 | 2023 |
| Deep neural networks and machine learning radiomics modelling for prediction of relapse in mantle cell lymphoma CS Lisson, CG Lisson, MF Mezger, D Wolf, SA Schmidt, WM Thaiss, ... Cancers 14 (8), 2008, 2022 | 20 | 2022 |
| Weakly supervised learning with positive and unlabeled data for automatic brain tumor segmentation D Wolf, S Regnery, R Tarnawski, B Bobek-Billewicz, J Polańska, M Götz Applied Sciences 12 (21), 10763, 2022 | 8 | 2022 |
| Self-supervised pre-training with contrastive and masked autoencoder methods for dealing with small datasets in deep learning for medical imaging D Wolf, T Payer, CS Lisson, CG Lisson, M Beer, M Götz, T Ropinski Scientific Reports 13 (1), 20260, 2023 | 7 | 2023 |
| Longitudinal CT imaging to explore the predictive power of 3D radiomic tumour heterogeneity in precise imaging of mantle cell lymphoma (MCL) CS Lisson, CG Lisson, S Achilles, MF Mezger, D Wolf, SA Schmidt, ... Cancers 14 (2), 393, 2022 | 5 | 2022 |
| Applicability of the CT Radiomics of Skeletal Muscle and Machine Learning for the Detection of Sarcopenia and Prognostic Assessment of Disease Progression in Patients with … D Vogele, T Mueller, D Wolf, S Otto, S Manoj, M Goetz, TJ Ettrich, M Beer Diagnostics 14 (2), 198, 2024 | 4 | 2024 |
| CT Radiomics and Clinical Feature Model to Predict Lymph Node Metastases in Early-Stage Testicular Cancer CS Lisson, S Manoj, D Wolf, J Schrader, SA Schmidt, M Beer, M Goetz, ... Onco 3 (2), 65-80, 2023 | 4 | 2023 |
| Radiomics and clinicopathological characteristics for predicting lymph node metastasis in testicular cancer CS Lisson, S Manoj, D Wolf, CG Lisson, SA Schmidt, M Beer, W Thaiss, ... Cancers 15 (23), 5630, 2023 | 2 | 2023 |
| Self-supervised Pre-training for Dealing with Small Datasets in Deep Learning for Medical Imaging: Evaluation of Contrastive and Masked Autoencoder Methods D Wolf, T Payer, CS Lisson, CG Lisson, M Beer, M Götz, T Ropinski BVM Workshop, 157-157, 2024 | | 2024 |
Michael GötzJunior Professor, Section Experimental Radiology, University Hospital Ulm在 uni-ulm.de 的电子邮件经过验证
