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Zhenwei Shi
Zhenwei Shi
Research Fellow, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences
Verified email at maastro.nl - Homepage
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Cited by
Cited by
Year
Learning from scanners: Bias reduction and feature correction in radiomics
I Zhovannik, J Bussink, A Traverso, Z Shi, P Kalendralis, L Wee, A Dekker, ...
Clinical and translational radiation oncology 19, 33-38, 2019
662019
Stability of radiomic features of apparent diffusion coefficient (ADC) maps for locally advanced rectal cancer in response to image pre-processing
A Traverso, M Kazmierski, Z Shi, P Kalendralis, M Welch, HD Nissen, ...
Physica Medica 61, 44-51, 2019
612019
Distributed radiomics as a signature validation study using the Personal Health Train infrastructure
Z Shi, I Zhovannik, A Traverso, FJWM Dankers, TM Deist, P Kalendralis, ...
Scientific data 6 (1), 218, 2019
572019
A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: a multicenter cohort study
Y Cui, J Zhang, Z Li, K Wei, Y Lei, J Ren, L Wu, Z Shi, X Meng, X Yang, ...
EClinicalMedicine 46, 2022
532022
Multi-layer pseudo-supervision for histopathology tissue semantic segmentation using patch-level classification labels
C Han, J Lin, J Mai, Y Wang, Q Zhang, B Zhao, X Chen, X Pan, Z Shi, Z Xu, ...
Medical Image Analysis 80, 102487, 2022
472022
Ontology‐guided radiomics analysis workflow (O‐RAW)
Z Shi, A Traverso, J van Soest, A Dekker, L Wee
Medical Physics 46 (12), 5677-5684, 2019
442019
Multicenter CT phantoms public dataset for radiomics reproducibility tests
P Kalendralis, A Traverso, Z Shi, I Zhovannik, R Monshouwer, ...
Medical physics 46 (3), 1512-1518, 2019
352019
CKD-TransBTS: clinical knowledge-driven hybrid transformer with modality-correlated cross-attention for brain tumor segmentation
J Lin, J Lin, C Lu, H Chen, H Lin, B Zhao, Z Shi, B Qiu, X Pan, Z Xu, ...
IEEE transactions on medical imaging, 2023
302023
PDBL: Improving histopathological tissue classification with plug-and-play pyramidal deep-broad learning
J Lin, G Han, X Pan, Z Liu, H Chen, D Li, X Jia, Z Shi, Z Wang, Y Cui, H Li, ...
IEEE Transactions on Medical Imaging 41 (9), 2252-2262, 2022
292022
FAIR‐compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head‐Neck1 TCIA collections
P Kalendralis, Z Shi, A Traverso, A Choudhury, M Sloep, I Zhovannik, ...
Medical Physics 47 (11), 5931-5940, 2020
272020
External validation of a prognostic model incorporating quantitative PET image features in oesophageal cancer
KG Foley, Z Shi, P Whybra, P Kalendralis, R Larue, M Berbee, MN Sosef, ...
Radiotherapy and Oncology 133, 205-212, 2019
262019
Hover-trans: Anatomy-aware hover-transformer for roi-free breast cancer diagnosis in ultrasound images
Y Mo, C Han, Y Liu, M Liu, Z Shi, J Lin, B Zhao, C Huang, B Qiu, Y Cui, ...
IEEE Transactions on Medical Imaging, 2023
232023
Lung cancer diagnosis using deep attention‐based multiple instance learning and radiomics
J Chen, H Zeng, C Zhang, Z Shi, A Dekker, L Wee, I Bermejo
Medical physics 49 (5), 3134-3143, 2022
232022
Meta multi-task nuclei segmentation with fewer training samples
C Han, H Yao, B Zhao, Z Li, Z Shi, L Wu, X Chen, J Qu, K Zhao, R Lan, ...
Medical Image Analysis 80, 102481, 2022
212022
External validation of nodal failure prediction models including radiomics in head and neck cancer
TT Zhai, F Wesseling, JA Langendijk, Z Shi, P Kalendralis, LV van Dijk, ...
Oral Oncology 112, 105083, 2021
212021
A deep learning quantified stroma-immune score to predict survival of patients with stage II–III colorectal cancer
Z Xu, Y Li, Y Wang, S Zhang, Y Huang, S Yao, C Han, X Pan, Z Shi, ...
Cancer cell international 21, 1-12, 2021
172021
Systematic review of radiomic biomarkers for predicting immune checkpoint inhibitor treatment outcomes
C Zhang, L de AF Fonseca, Z Shi, C Zhu, A Dekker, I Bermejo, L Wee
Methods 188, 61-72, 2021
172021
MRI-based quantification of intratumoral heterogeneity for predicting treatment response to neoadjuvant chemotherapy in breast cancer
Z Shi, X Huang, Z Cheng, Z Xu, H Lin, C Liu, X Chen, C Liu, C Liang, C Lu, ...
Radiology 308 (1), e222830, 2023
152023
Methodological quality of machine learning-based quantitative imaging analysis studies in esophageal cancer: a systematic review of clinical outcome prediction after concurrent …
Z Shi, Z Zhang, Z Liu, L Zhao, Z Ye, A Dekker, L Wee
European Journal of Nuclear Medicine and Molecular Imaging, 1-20, 2022
152022
External validation of radiation-induced dyspnea models on esophageal cancer radiotherapy patients
Z Shi, KG Foley, J Pablo de Mey, E Spezi, P Whybra, T Crosby, J Soest, ...
Frontiers in oncology 9, 1411, 2019
142019
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