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researcher

Le Zhang

4 papers hereh-index 28 citations7 works total

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • physics.atom-ph1
same name
  • Le Zhang — 11 papers, h 3
  • Le Zhang — 8 papers, h 9
  • Le Zhang — 8 papers, h 4
  • Le Zhang — 7 papers, h 5
  • Le Zhang — 6 papers, h 1
  • Le Zhang — 5 papers, h 1

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

collaborators

4 papers

physics.atom-ph2026

Critical Microwave Mach-Zehnder-Type Interferometry with Dual-LO Rydberg Atoms

Jun-Rong Chen, Guo-Qing Qin, Peng-Fu Liang +7

High-precision phase measurement of microwave fields underpins a wide range of applications, including wireless communications, distributed radar, plasma diagnostics, and antenna m…

eess.IV2025

DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography

Haolin He, Ce Zhu, Le Zhang +9

Brain nuclei are clusters of anatomically distinct neurons that serve as important hubs for processing and relaying information in various neural circuits. Fine-scale parcellation…

eess.IV2025

Coarse-to-Fine Joint Registration of MR and Ultrasound Images via Imaging Style Transfer

Junyi Wang, Xi Zhu, Yikun Guo +4

We developed a pipeline for registering pre-surgery Magnetic Resonance (MR) images and post-resection Ultrasound (US) images. Our approach leverages unpaired style transfer using 3…

eess.IV2025

DDEvENet: Evidence-based Ensemble Learning for Uncertainty-aware Brain Parcellation Using Diffusion MRI

Chenjun Li, Dian Yang, Shun Yao +14

In this study, we developed an Evidence-based Ensemble Neural Network, namely EVENet, for anatomical brain parcellation using diffusion MRI. The key innovation of EVENet is the des…

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