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Jun Zhou

14 papers hereh-index 6110 citations38 works total

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

author position
  • middle author7
  • last author5

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • physics.med-ph12
  • cs.CV2
same name
  • Jun Zhou — 18 papers, h 10
  • Jun Zhou — 16 papers, h 6
  • Jun Zhou — 13 papers, h 5
  • Jun Zhou — 13 papers, h 5
  • Jun Zhou — 12 papers, h 5
  • Jun Zhou — 9 papers, h 5

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
20242026
collaborators
Showing 2024Show all

4 papers · 1 filter

physics.med-ph2024

Photon-Counting CT in Cancer Radiotherapy: Technological Advances and Clinical Benefits

Keyur D. Shah, Jun Zhou, Justin Roper +4

Photon-counting computed tomography (PCCT) marks a significant advancement over conventional energy-integrating detector (EID) CT systems. This review highlights PCCT's superior sp…

physics.med-ph2024

Using Modularized Pin Ridge Filter in Proton FLASH Planning for Liver Stereotactic Ablative Body Radiotherapy

Chaoqiong Ma, Xiaofeng Yang, Yinan Wang +3

We previously developed a FLASH planning framework for streamlined pin-ridge-filter (pin-RF) design, demonstrating its feasibility for single-energy proton FLASH planning. In this…

physics.med-ph2024

Adaptive Proton Therapy Using CBCT-Guided Digital Twins

Chih-Wei Chang, Zhen Tian, Richard L. J. Qiu +8

This study aims to develop a digital twin (DT) framework to enhance adaptive proton stereotactic body radiation therapy (SBRT) for prostate cancer. Prostate SBRT has emerged as a l…

cs.CV2024

Diffeomorphic Transformer-based Abdomen MRI-CT Deformable Image Registration

Yang Lei, Luke A. Matkovic, Justin Roper +6

This paper aims to create a deep learning framework that can estimate the deformation vector field (DVF) for directly registering abdominal MRI-CT images. The proposed method assum…

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