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researcher

Le Lu

Ant Group

105 papers hereh-index 5728k citations271 works total

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

author position
  • middle author89
  • last author15

Across the 104 of 105 papers where every author was matched, so the position is known.

fields
  • cs.CV73
  • eess.IV30
  • cs.CL1
  • cs.LG1
affiliations
  • Ant Group
Homepage
same name
  • Le Lu — 20 papers, h 9
  • Le Lu — 9 papers, h 8
  • Le Lu — 6 papers, h 2
  • Le Lu — 6 papers, h 2
  • Le Lu — 4 papers, h 3
  • Le Lu — 2 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132023
most citedTransUNet: Transformers Make Strong Encoders for Medical Image Segmentation

4k citations · 10.8k across the 105 of their papers we have counts for

collaborators
Showing 2019 · eess.IVShow all

3 papers · 2 filters

eess.IV2019★ 1 cited

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

Bo Zhou, Adam P. Harrison, Jiawen Yao +4

As the demand for more descriptive machine learning models grows within medical imaging, bottlenecks due to data paucity will exacerbate. Thus, collecting enough large-scale data w…

eess.IV2019★ 2 cited

Deep Esophageal Clinical Target Volume Delineation using Encoded 3D Spatial Context of Tumors, Lymph Nodes, and Organs At Risk

Dakai Jin, Dazhou Guo, Tsung-Ying Ho +4

Clinical target volume (CTV) delineation from radiotherapy computed tomography (RTCT) images is used to define the treatment areas containing the gross tumor volume (GTV) and/or su…

eess.IV2019★ 13 cited

Accurate Esophageal Gross Tumor Volume Segmentation in PET/CT using Two-Stream Chained 3D Deep Network Fusion

Dakai Jin, Dazhou Guo, Tsung-Ying Ho +4

Gross tumor volume (GTV) segmentation is a critical step in esophageal cancer radiotherapy treatment planning. Inconsistencies across oncologists and prohibitive labor costs motiva…

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