Zuqiang Xi - JoVE Visualize

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Pediatric Radiology|February 13, 2026

Deep learning-based cerebellar segmentation on T2-weighted fluid-attenuated inversion recovery magnetic resonance imaging for detecting cerebellar hypoplasia/atrophy in infantsQiaoqiao Zou, Kexin Wang, Zuqiang Xi, et al.

Medical Physics|November 4, 2024

Using CT images to assist the segmentation of MR images via generalization: Segmentation of the renal parenchyma of renal carcinoma patientsZhengyang Yu, Tongtong Zhao, Zuqiang Xi, et al.

Bioengineering (Basel, Switzerland)|October 28, 2023

Automatic Segmentation and Quantification of Abdominal Aortic Calcification in Lateral Lumbar Radiographs Based on Deep-Learning-Based AlgorithmsKexin Wang, Xiaoying Wang, Zuqiang Xi, et al.

BMC Medical Imaging|December 30, 2024

Using apparent diffusion coefficient maps and radiomics to predict pathological grade in upper urinary tract urothelial carcinomaRile Nai, Kexin Wang, Shuai Ma, et al.

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Showing results (1-10 of 4) with videos related to

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Pageof 1

Pediatric Radiology|February 13, 2026

Deep learning-based cerebellar segmentation on T2-weighted fluid-attenuated inversion recovery magnetic resonance imaging for detecting cerebellar hypoplasia/atrophy in infantsQiaoqiao Zou, Kexin Wang, Zuqiang Xi, et al.

Medical Physics|November 4, 2024

Using CT images to assist the segmentation of MR images via generalization: Segmentation of the renal parenchyma of renal carcinoma patientsZhengyang Yu, Tongtong Zhao, Zuqiang Xi, et al.

Bioengineering (Basel, Switzerland)|October 28, 2023

Automatic Segmentation and Quantification of Abdominal Aortic Calcification in Lateral Lumbar Radiographs Based on Deep-Learning-Based AlgorithmsKexin Wang, Xiaoying Wang, Zuqiang Xi, et al.

BMC Medical Imaging|December 30, 2024

Using apparent diffusion coefficient maps and radiomics to predict pathological grade in upper urinary tract urothelial carcinomaRile Nai, Kexin Wang, Shuai Ma, et al.

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