Zekun Jiang
Jinan, 250022, China
Last Updated: 09/26/2026
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Found 13 publications
A remarkable membrane-permeable fluorescent probe for real-time imaging of mitochondrial SO2 with high fidelity during ferroptosis.
Journal: Analytical methods : advancing methods and applications
Published: August 27, 2024
A pH-response-based fluorescent probe for detecting the mitophagy process by tracing changes in colocalization coefficients.
Journal: Analytical methods : advancing methods and applications
Published: March 27, 2024
A difficulty-aware and task-augmentation method based on meta-learning model for few-shot diabetic retinopathy classification.
Journal: Quantitative imaging in medicine and surgery
Published: April 24, 2023
A fast fluorescent probe for tracing endoplasmic reticulum-located carboxylesterase in living cells.
A fast fluorescent probe for tracing endoplasmic reticulum-located carboxylesterase in living cells.
Journal: Luminescence : the journal of biological and chemical luminescence
Published: June 15, 2022
Radiomics for Predicting Response of Neoadjuvant Chemotherapy in Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis.
Journal: Frontiers in oncology
Published: March 10, 2022
Semi-supervised classification of fundus images combined with CNN and GCN.
Journal: Journal of applied clinical medical physics
Published: December 04, 2021
Generative adversarial networks in medical image segmentation: A review.
Journal: Computers in biology and medicine
Published: September 24, 2021
Differentiation of Brain Abscess From Cystic Glioma Using Conventional MRI Based on Deep Transfer Learning Features and Hand-Crafted Radiomics Features.
Journal: Frontiers in medicine
Published: July 27, 2021
Multimodality MRI-based radiomics approach to predict the posttreatment response of lung cancer brain metastases to gamma knife radiosurgery.
Journal: European radiology
Published: July 03, 2021
Handcrafted and Deep Learning-Based Radiomic Models Can Distinguish GBM from Brain Metastasis.
Journal: Journal of oncology
Published: February 26, 2021
CT-Based Hand-crafted Radiomic Signatures Can Predict PD-L1 Expression Levels in Non-small Cell Lung Cancer: a Two-Center Study.
Journal: Journal of digital imaging
Published: December 28, 2020
Last Updated: 09/26/2026