Home ›
Entities
› academia
› Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation
Research article (IEEE Transactions on Medical Imaging, 2016) · cited 468× · AI/ML
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation
Summary
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation is a scholarly article[1].
Key Facts
Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-3d-convolutional-encoder-networks-with-shortcuts-for-multiscale-feature-integration-applied-to-multiple-sclerosis-l
MLA“Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-3d-convolutional-encoder-networks-with-shortcuts-for-multiscale-feature-integration-applied-to-multiple-sclerosis-l.
BibTeX@misc{4ortxyz_deep-3d-convolutional-encoder-networks-with-shortcuts-for-multiscale-feature-integration-applied-to-multiple-sclerosis-l_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/deep-3d-convolutional-encoder-networks-with-shortcuts-for-multiscale-feature-integration-applied-to-multiple-sclerosis-l}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation — https://4ort.xyz/entity/deep-3d-convolutional-encoder-networks-with-shortcuts-for-multiscale-feature-integration-applied-to-multiple-sclerosis-l (retrieved 2026-05-24)