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researcher

Ge Wang

81 papers hereh-index 7024.6k citations658 works total

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

author position
  • sole author1
  • first author4
  • middle author22
  • last author48

Across the 75 of 81 papers where every author was matched, so the position is known.

fields
  • physics.med-ph31
  • eess.IV15
  • cs.CV14
  • cs.LG9
  • q-bio.QM4
  • physics.bio-ph3
same name
  • Ge Wang — 15 papers, h 10
  • Ge Wang — 14 papers, h 12
  • Ge Wang — 13 papers, h 8
  • Ge Wang — 12 papers, h 4
  • Ge Wang — 9 papers, h 4
  • Ge Wang — 9 papers, h 3

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
20102021
most citedLow-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)

1.9k citations · 6.7k across the 80 of their papers we have counts for

collaborators
Showing q-bio.QMShow all

4 papers · 1 filter

q-bio.QM2021★ 1 cited

Stationary Multi-source AI-powered Real-time Tomography (SMART)

Weiwen Wu, Yaohui Tang, Tianling Lv +6

Over the past decades, the development of CT technologies has been largely driven by the needs for cardiac imaging but the temporal resolution remains insufficient for clinical CT…

q-bio.QM2016★ 34 cited

Deep Learning for the Classification of Lung Nodules

He Yang, Hengyong Yu, Ge Wang

Deep learning, as a promising new area of machine learning, has attracted a rapidly increasing attention in the field of medical imaging. Compared to the conventional machine learn…

q-bio.QM2016★ 6 cited

A Perspective on Deep Imaging

Ge Wang

The combination of tomographic imaging and deep learning, or machine learning in general, promises to empower not only image analysis but also image reconstruction. The latter aspe…

q-bio.QM2013★ 16 cited

Unsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity

Li Chen, Peter L. Choyke, Niya Wang +4

Intratumor heterogeneity is often manifested by vascular compartments with distinct pharmacokinetics that cannot be resolved directly by in vivo dynamic imaging. We developed tissu…

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