| Combining 3D image and tabular data via the dynamic affine feature map transform S Pölsterl, TN Wolf, C Wachinger Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 37 | 2021 |
| Daft: A universal module to interweave tabular data and 3d images in cnns TN Wolf, S Pölsterl, C Wachinger, ... NeuroImage 260, 119505, 2022 | 20 | 2022 |
| Don’t panic: Prototypical additive neural network for interpretable classification of alzheimer’s disease TN Wolf, S Pölsterl, C Wachinger International Conference on Information Processing in Medical Imaging, 82-94, 2023 | 4 | 2023 |
| Deep learning for the prediction of type 2 diabetes mellitus from neck-to-knee Dixon MRI in the UK biobank C Wachinger, TN Wolf, S Pölsterl Heliyon 9 (11), 2023 | 1 | 2023 |
| Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning TN Wolf, F Bongratz, AM Rickmann, S Pölsterl, C Wachinger Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5921-5929, 2024 | | 2024 |
| From Barlow Twins to Triplet Training: Differentiating Dementia with Limited Data Y Li, TN Wolf, S Pölsterl, I Yakushev, DM Hedderich, C Wachinger Medical Imaging with Deep Learning, 2024 | | 2024 |
| HALOS: Hallucination-Free Organ Segmentation After Organ Resection Surgery AM Rickmann, M Xu, TN Wolf, O Kovalenko, C Wachinger International Conference on Information Processing in Medical Imaging, 667-678, 2023 | | 2023 |
Christian WachingerMIT, Harvard medical schoolVerified email at csail.mit.edu
