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Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans
Research article (International Journal of Computer Assisted Radiology and Surgery, 2019) · cited 20× · AI/ML
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans
Summary
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans is a scholarly article[1].
Key Facts
Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans. Retrieved May 24, 2026, from https://4ort.xyz/entity/memory-efficient-2-5d-convolutional-transformer-networks-for-multi-modal-deformable-registration-with-weak-label-supervi
MLA“Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/memory-efficient-2-5d-convolutional-transformer-networks-for-multi-modal-deformable-registration-with-weak-label-supervi.
BibTeX@misc{4ortxyz_memory-efficient-2-5d-convolutional-transformer-networks-for-multi-modal-deformable-registration-with-weak-label-supervi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans}}, year = {2026}, url = {https://4ort.xyz/entity/memory-efficient-2-5d-convolutional-transformer-networks-for-multi-modal-deformable-registration-with-weak-label-supervi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Memory-efficient 2.5D convolutional transformer networks for multi-modal deformable registration with weak label supervision applied to whole-heart CT and MRI scans — https://4ort.xyz/entity/memory-efficient-2-5d-convolutional-transformer-networks-for-multi-modal-deformable-registration-with-weak-label-supervi (retrieved 2026-05-24)
