Xianwu Zeng

Lanzhou, China

Last Updated: 09/26/2026

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Found 13 publications

DBFANet: a dual-branch feature alignment network for automated detection of breast cancer bone metastasis.

DBFANet: a dual-branch feature alignment network for automated detection of breast cancer bone metastasis.

Journal: Physics in medicine and biology

Published: November 03, 2025

BSc-DARTS: Neural Architecture Search for Automatic Diagnosis of Bone Metastases in Bone Scintigrams

BSc-DARTS: Neural Architecture Search for Automatic Diagnosis of Bone Metastases in Bone Scintigrams

Journal: Current medical imaging

Published: May 05, 2025

MSA-Net: a multi-scale and adversarial learning network for segmenting bone metastases in low-resolution SPECT imaging.

MSA-Net: a multi-scale and adversarial learning network for segmenting bone metastases in low-resolution SPECT imaging.

Journal: EJNMMI physics

Published: January 27, 2025

Interactive segmentation for accurately isolating metastatic lesions from low-resolution, large-size bone scintigrams.

Interactive segmentation for accurately isolating metastatic lesions from low-resolution, large-size bone scintigrams.

Journal: Physics in medicine and biology

Published: September 29, 2024

Doxorubicin-loaded PEGylated liposome modified with ANGPT2-specific peptide for integrative glioma-targeted imaging and therapy.

Doxorubicin-loaded PEGylated liposome modified with ANGPT2-specific peptide for integrative glioma-targeted imaging and therapy.

Journal: Materials today. Bio

Published: July 16, 2024

Metastasis lesion segmentation from bone scintigrams using encoder-decoder architecture model with multi-attention and multi-scale learning.

Metastasis lesion segmentation from bone scintigrams using encoder-decoder architecture model with multi-attention and multi-scale learning.

Journal: Quantitative imaging in medicine and surgery

Published: June 20, 2024

Multimodal Data-Driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans Using Deep Learning.

Multimodal Data-Driven Segmentation of Bone Metastasis Lesions in SPECT Bone Scans Using Deep Learning.

Journal: Current medical imaging

Published: May 11, 2024

Automated Diagnosis of Bone Metastasis by Classifying Bone Scintigrams Using a Self-defined Deep Learning Model.

Automated Diagnosis of Bone Metastasis by Classifying Bone Scintigrams Using a Self-defined Deep Learning Model.

Journal: Current medical imaging

Published: September 27, 2023

Detecting multiple lesions of lung cancer-caused metastasis with bone scans using a self-defined object detection model based on SSD framework.

Detecting multiple lesions of lung cancer-caused metastasis with bone scans using a self-defined object detection model based on SSD framework.

Journal: Physics in medicine and biology

Published: April 30, 2022

Automated detection of lung cancer-caused metastasis by classifying scintigraphic images using convolutional neural network with residual connection and hybrid attention mechanism.

Automated detection of lung cancer-caused metastasis by classifying scintigraphic images using convolutional neural network with residual connection and hybrid attention mechanism.

Journal: Insights into imaging

Published: November 03, 2021

Automated detection of skeletal metastasis of lung cancer with bone scans using convolutional nuclear network.

Automated detection of skeletal metastasis of lung cancer with bone scans using convolutional nuclear network.

Journal: Physics in medicine and biology

Published: September 17, 2021

Tumor-targeting and imaging micelles for pH-triggered anticancer drug release and combined photodynamic therapy.

Tumor-targeting and imaging micelles for pH-triggered anticancer drug release and combined photodynamic therapy.

Journal: Journal of biomaterials science. Polymer edition

Published: April 30, 2020

Showing 1-12 of 13

Last Updated: 09/26/2026