Shengdong Nie

University of Shanghai for Science and Technology — China

Medicine · Health Sciences

23h-index1.6kcitations159works1.82yr avg
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Research Topics

Radiomics and Machine Learning in Medical Imaging(54), Lung Cancer Diagnosis and Treatment(34), Medical Image Segmentation Techniques(22), Advanced MRI Techniques and Applications(20), AI in cancer detection(17)

Publications159 total

[Artificial intelligence in predicting pathological complete response to neoadjuvant chemotherapy for breast cancer: current advances and challenges].
PubMed·2025
Disulfidptosis OXSM serves as a potential prognostic biomarker and correlates with immune infiltrates in glioma
Discover Oncology·2025· 1 citedOpen Access
Multi-task learning for joint prediction of breast cancer histological indicators in dynamic contrast-enhanced magnetic resonance imaging
Computer Methods and Programs in Biomedicine·2025
Toxicity mechanism analysis of cGAS-STING-TBK1 signaling pathway small molecule modulator based on network toxicology and molecular docking strategy: quinacrine acetate as an example
Frontiers in Chemistry·2025· 5 citedOpen Access
A CNN–transformer fusion network for predicting high‐grade patterns in stage IA invasive lung adenocarcinoma
Medical Physics·2025· 1 cited
Short-term peri- and intra-tumoral CT radiomics to predict immunotherapy response in advanced non-small cell lung cancer
Translational Lung Cancer Research·2025· 2 citedOpen Access
Improved differentiation of prostate cancer using advanced diffusion models: a comparative study of mono-exponential, fractional-order-calculus, and multi-compartment models
Abdominal Radiology·2025Open Access
Identification of Parkinson’s disease using MRI and genetic data from the PPMI cohort: an improved machine learning fusion approach
Frontiers in Aging Neuroscience·2025· 8 citedOpen Access
Improved Differentiation of Prostate Cancer Using Advanced Diffusion Models: A Comparative Study of Mono-Exponential, Fractional-Order-Calculus, and Multi-Compartment Models
2024Open Access
A method for EPI acceleration acquisition and ghost correction by multiple variable density GRAPPA and additional phase labeling
Biomedical Signal Processing and Control·2024
Sex-Specific Imaging Biomarkers for Parkinson’s Disease Diagnosis: A Machine Learning Analysis
Journal of Imaging Informatics in Medicine·2024· 2 cited
Automated Cerebrovascular Segmentation and Visualization of Intracranial Time-of-Flight Magnetic Resonance Angiography Based on Deep Learning
Journal of Imaging Informatics in Medicine·2024· 3 citedOpen Access
Enhancing prostate cancer segmentation on multiparametric magnetic resonance imaging with background information and gland masks
Medical Physics·2024
Res-TransNet: A Hybrid deep Learning Network for Predicting Pathological Subtypes of lung Adenocarcinoma in CT Images
Journal of Imaging Informatics in Medicine·2024· 2 citedOpen Access
Prognostic value and drug sensitivity of F‑box and leucine‑rich repeat protein 6 in glioma
Oncology Letters·2024· 1 citedOpen Access
Automatic assessment of DWI‐ASPECTS for acute ischemic stroke based on deep learning
Medical Physics·2024· 4 cited
Feature Fusion for Multi-Coil Compressed MR Image Reconstruction
Journal of Imaging Informatics in Medicine·2024Open Access
Identifying Leukoaraiosis with Mild Cognitive Impairment by Fusing Multiple MRI Morphological Metrics and Ensemble Machine Learning
Journal of Imaging Informatics in Medicine·2024· 4 citedOpen Access
Segmentation of lung nodules based on a refined segmentation network
Medical Physics·2023· 3 cited
A deep learning and radiomics based Alberta stroke program early CT score method on CTA to evaluate acute ischemic stroke
Journal of X-Ray Science and Technology·2023· 4 citedOpen Access
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Frequent Co-authors

Xuewen Hou(12), Huihong Duan(7), Yang Chen(7), Jing Gong(6), Xin Wang(6), Guanqun Su(5), Yifeng Yang(5), Lijia Wang(5), Gang Huang(5), Xiaodan Ye(5), Ying Hu(4), Xinmin Ge(4), Xiaobing Li(4), Zhaoxue Chen(4), Liangyun Hu(3), Xiaolong Zhou(3), Long Wei(3), Rong Sun(3), Yiren Fan(3), Xiwen Sun(3)