Zhicheng Zhang

Shenzhen, China

Last Updated: 09/26/2026

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Found 12 publications

Fluoroscopic image-driven deep learning model for predicting intussusception irreducibility during air enema in children.

Fluoroscopic image-driven deep learning model for predicting intussusception irreducibility during air enema in children.

Journal: BMC medical imaging

Published: November 19, 2025

Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions from a retrospective study.

Development of deep learning-based narrow-band imaging endocytoscopic classification for predicting colorectal lesions from a retrospective study.

Journal: Nature communications

Published: September 27, 2024

Expert guidance and partially-labeled data collaboration for multi-organ segmentation.

Expert guidance and partially-labeled data collaboration for multi-organ segmentation.

Journal: Neural networks : the official journal of the International Neural Network Society

Published: September 24, 2024

Multitask connected U-Net: automatic lung cancer segmentation from CT images using PET knowledge guidance.

Multitask connected U-Net: automatic lung cancer segmentation from CT images using PET knowledge guidance.

Journal: Frontiers in artificial intelligence

Published: April 26, 2024

Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer.

Development and interpretation of a pathomics-driven ensemble model for predicting the response to immunotherapy in gastric cancer.

Journal: Journal for immunotherapy of cancer

Published: April 24, 2024

Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer.

Comprehensive assessment of immune context and immunotherapy response via noninvasive imaging in gastric cancer.

Journal: The Journal of clinical investigation

Published: September 15, 2023

Biology-guided deep learning predicts prognosis and cancer immunotherapy response.

Biology-guided deep learning predicts prognosis and cancer immunotherapy response.

Journal: Nature communications

Published: December 21, 2022

Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study.

Predicting peritoneal recurrence and disease-free survival from CT images in gastric cancer with multitask deep learning: a retrospective study.

Journal: The Lancet. Digital health

Published: August 16, 2021

Shading correction for volumetric CT using deep convolutional neural network and adaptive filter.

Shading correction for volumetric CT using deep convolutional neural network and adaptive filter.

Journal: Quantitative imaging in medicine and surgery

Published: August 27, 2019

A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis.

A Technical Review of Convolutional Neural Network-Based Mammographic Breast Cancer Diagnosis.

Journal: Computational and mathematical methods in medicine

Published: January 14, 2019

Explicit vascular reconstruction based on adjacent vector projection.

Explicit vascular reconstruction based on adjacent vector projection.

Journal: Bioengineered

Published: October 07, 2016

A novel design of ultrafast micro-CT system based on carbon nanotube: A feasibility study in phantom.

A novel design of ultrafast micro-CT system based on carbon nanotube: A feasibility study in phantom.

Journal: Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

Published: February 01, 2016

Showing 1-12 of 12

Last Updated: 09/26/2026