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Jen-Tang Lu

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.IV2
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedDeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning

9 citations · 9 across the 1 of their papers we have counts for

collaborators

3 papers

eess.IV2019

Multimodal Volume-Aware Detection and Segmentation for Brain Metastases Radiosurgery

Szu-Yeu Hu, Wei-Hung Weng, Shao-Lun Lu +4

Stereotactic radiosurgery (SRS), which delivers high doses of irradiation in a single or few shots to small targets, has been a standard of care for brain metastases. While very ef…

eess.IV2019★ 9 cited

DeepAAA: clinically applicable and generalizable detection of abdominal aortic aneurysm using deep learning

Jen-Tang Lu, Rupert Brooks, Stefan Hahn +9

We propose a deep learning-based technique for detection and quantification of abdominal aortic aneurysms (AAAs). The condition, which leads to more than 10,000 deaths per year in…

cs.CV2018

DeepSPINE: Automated Lumbar Vertebral Segmentation, Disc-level Designation, and Spinal Stenosis Grading Using Deep Learning

Jen-Tang Lu, Stefano Pedemonte, Bernardo Bizzo +5

The high prevalence of spinal stenosis results in a large volume of MRI imaging, yet interpretation can be time-consuming with high inter-reader variability even among the most spe…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.