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). SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder. Retrieved May 24, 2026, from https://4ort.xyz/entity/segae-unsupervised-white-matter-lesion-segmentation-from-brain-mris-using-a-cnn-autoencoder
MLA“SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/segae-unsupervised-white-matter-lesion-segmentation-from-brain-mris-using-a-cnn-autoencoder.
BibTeX@misc{4ortxyz_segae-unsupervised-white-matter-lesion-segmentation-from-brain-mris-using-a-cnn-autoencoder_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder}}, year = {2026}, url = {https://4ort.xyz/entity/segae-unsupervised-white-matter-lesion-segmentation-from-brain-mris-using-a-cnn-autoencoder}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SegAE: Unsupervised white matter lesion segmentation from brain MRIs using a CNN autoencoder — https://4ort.xyz/entity/segae-unsupervised-white-matter-lesion-segmentation-from-brain-mris-using-a-cnn-autoencoder (retrieved 2026-05-24)