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Tassilo Wald
Tassilo Wald
PhD Student, Deutsche Krebsforschungszentrum (DKFZ)
Bestätigte E-Mail-Adresse bei dkfz-heidelberg.de
Titel
Zitiert von
Zitiert von
Jahr
Sam. md: Zero-shot medical image segmentation capabilities of the segment anything model
S Roy, T Wald, G Koehler, MR Rokuss, N Disch, J Holzschuh, D Zimmerer, ...
arXiv preprint arXiv:2304.05396, 2023
532023
Extending nnU-Net is all you need
F Isensee, C Ulrich, T Wald, MH Klaus
https://arxiv.org/abs/2208.10791, 2022
152022
Multitalent: A multi-dataset approach to medical image segmentation
C Ulrich, F Isensee, T Wald, M Zenk, M Baumgartner, KH Maier-Hein
International Conference on Medical Image Computing and Computer-Assisted …, 2023
142023
Automated detection and quantification of brain metastases on clinical MRI data using artificial neural networks
I Pflüger, T Wald, F Isensee, M Schell, H Meredig, K Schlamp, ...
Neuro-oncology advances 4 (1), vdac138, 2022
142022
Sam. md: Zero-shot medical image segmentation capabilities of the segment anything model
T Wald, S Roy, G Koehler, N Disch, MR Rokuss, J Holzschuh, D Zimmerer, ...
Medical Imaging with Deep Learning, short paper track, 2023
132023
Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT
SD Almeida, T Norajitra, CT Lüth, T Wald, V Weru, M Nolden, PF Jäger, ...
European radiology, 1-14, 2023
32023
cOOpD: reformulating COPD classification on chest CT scans as anomaly detection using contrastive representations
SD Almeida, CT Lüth, T Norajitra, T Wald, M Nolden, PF Jäger, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2023
32023
Taming detection transformers for medical object detection
MK Ickler, M Baumgartner, S Roy, T Wald, KH Maier-Hein
BVM Workshop, 183-188, 2023
32023
Temporal feature networks for CNN based object detection
M Weber, T Wald, JM Zöllner
2021 IEEE Intelligent Vehicles Symposium (IV), 1478-1484, 2021
22021
Mitigating False Predictions In Unreasonable Body Regions
C Ulrich, C Knobloch, JC Holzschuh, T Wald, MR Rokuss, M Zenk, ...
arXiv preprint arXiv:2404.15718, 2024
2024
nnU-Net Revisited: A Call for Rigorous Validation in 3D Medical Image Segmentation
F Isensee, T Wald, C Ulrich, M Baumgartner, S Roy, K Maier-Hein, ...
arXiv preprint arXiv:2404.09556, 2024
2024
Skeleton Recall Loss for Connectivity Conserving and Resource Efficient Segmentation of Thin Tubular Structures
Y Kirchhoff, MR Rokuss, S Roy, B Kovacs, C Ulrich, T Wald, M Zenk, ...
arXiv preprint arXiv:2404.03010, 2024
2024
Capturing COPD heterogeneity: anomaly detection and parametric response mapping comparison for phenotyping on chest computed tomography
SD Almeida, T Norajitra, CT Lüth, T Wald, V Weru, M Nolden, PF Jäger, ...
Frontiers in Medicine 11, 1360706, 2024
2024
Reformulating COPD Classification on Chest CT Scans as Anomaly Detection using Contrastive Representations: cOOpD
SD Almeida, CT Lüth, T Norajitra, T Wald, M Nolden, PF Jäger, ...
BVM Workshop, 115-115, 2024
2024
Multi-dataset Approach to Medical Image Segmentation: MultiTalent
C Ulrich, F Isensee, T Wald, M Zenk, M Baumgartner, KH Maier-Hein
BVM Workshop, 78-78, 2024
2024
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement
G Koehler, T Wald, C Ulrich, D Zimmerer, PF Jaeger, JKH Franke, S Kohl, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
2024
Lost in Transformation: Current roadblocks for Transformers in 3D medical image segmentation
S Roy, T Wald, M Baumgartner, C Ulrich, G Koehler, D Zimmerer, ...
2023
Exploring new ways: Enforcing representational dissimilarity to learn new features and reduce error consistency
T Wald, C Ulrich, F Isensee, D Zimmerer, G Koehler, M Baumgartner, ...
arXiv preprint arXiv:2307.02516, 2023
2023
Probabilistic modeling of COPD imaging characteristics for disease severity prediction
SD Almeida, T Norajitra, C Lueth, T Wald, T Kopytova, M Nolden, ...
European Respiratory Journal 60 (suppl 66), 2022
2022
Neuro-Oncology Advances
I Pflüger, T Wald, F Isensee, M Schell, H Meredig, K Schlamp, ...
2022
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