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Weibin Wang
Weibin Wang
Zhejianglab
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Year
Medical image classification using deep learning
W Wang, D Liang, Q Chen, Y Iwamoto, XH Han, Q Zhang, H Hu, L Lin, ...
Deep learning in healthcare: paradigms and applications, 33-51, 2020
972020
Classification of focal liver lesions using deep learning with fine-tuning
W Wang, Y Iwamoto, X Han, YW Chen, Q Chen, D Liang, L Lin, H Hu, ...
Proceedings of the 2018 International Conference on digital medicine and …, 2018
352018
Deep learning-based radiomics models for early recurrence prediction of hepatocellular carcinoma with multi-phase CT images and clinical data
W Weibin, C Qingqing, Y Iwamoto, HAN Xianhua, Q Zhang, HU Hongjie, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
302019
Deep fusion models of multi-phase CT and selected clinical data for preoperative prediction of early recurrence in hepatocellular carcinoma
W Wang, Q Chen, Y Iwamoto, P Aonpong, L Lin, H Hu, Q Zhang, ...
IEEE Access 8, 139212-139220, 2020
152020
Hand-crafted and deep learning-based radiomics models for recurrence prediction of non-small cells lung cancers
P Aonpong, Y Iwamoto, W Wang, L Lin, YW Chen
Innovation in Medicine and Healthcare: Proceedings of 8th KES-InMed 2020 …, 2020
132020
Phase Attention Model for Prediction of Early Recurrence of Hepatocellular Carcinoma with Multi-phase CT Images and Clinical Data
W Wang, F Wang, Q Chen, S Ouyang, Y Iwamoto, X Han, L Lin, H Hu, ...
Frontiers in radiology 2, 856460, 2022
72022
Residual multilayer perceptrons for genotype-guided recurrence prediction of non-small cell lung cancer
Y Ai, P Aonpong, W Wang, Y Li, Y Iwamoto, X Han, YW Chen
2022 44th Annual International Conference of the IEEE Engineering in …, 2022
22022
A Transformer-Based Model for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Muti-modality MRI
G Zhan, F Wang, W Wang, Y Li, Q Chen, H Hu, YW Chen
Asian Conference on Computer Vision, 185-194, 2022
12022
Deep Learning-based Risk Prediction Model for Recurrence-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image
W Wang, F Wang, Y Yang, Y Li, J Liu, X Han, L Lin, R Tong, H Hu, ...
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE), 926-929, 2022
12022
A Unified Framework for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma with Multi-phase CT Images
S Ouyang, Y Xu, W Wang, Y Li, F Wang, Q Chen, L Lin, YW Chen, H Hu
Innovation in Medicine and Healthcare: Proceedings of 10th KES-InMed 2022 …, 2022
12022
Computer-aided diagnosis of liver cancers using deep learning with fine-tuning
W Wang, D Liang, L Lin, H Hu, Q Zhang, Q Chen, X Han, YW Chen
IEICE Technical Report; IEICE Tech. Rep. 118 (219), 139-140, 2018
12018
ModalityFormer for Preoperative Early Recurrence Prediction of Hepatocellular Carcinoma Using Multimodality MRI or CT and Clinical Data
Z Gan, W Fang, LI Yinhao, W Weibin, C Qingqing, LIN Lanfen, ...
IIEEJ transactions on image electronics and visual computing 11 (2), 30-37, 2023
2023
Deep Learning-based Prediction Models of Early Recurrence and Recurrence-free Survival in Hepatocellular Carcinoma with Multi-phase CT
W Weibin
2022
Prediction Model of Early Recurrence of Hepatocellular Carcinoma Based on Deep Learning with Attention Module
W Wang, F Wang, Q Chen, Y Iwamoto, X Han, Y Chen
IEICE Technical Report; IEICE Tech. Rep. 121 (304), 195-198, 2021
2021
Genomics-Based Models for Recurrence Prediction of Non-small Cells Lung Cancers
P Aonpong, Y Iwamoto, W Wang, L Lin, YW Chen
Innovation in Medicine and Healthcare: Proceedings of 9th KES-InMed 2021, 41-49, 2021
2021
Prediction of microvascular invasion in hepatocellular carcinoma based on radiomics method using MRI
W Wang, Q Chen, F Wang, Y Iwamoto, X Han, H Hu, L Lin, YW Chen
IEICE Technical Report; IEICE Tech. Rep. 120 (156), 25-26, 2020
2020
Deep Learning-based Risk Prediction Model for Disease-free Survival in Patients with Hepatocellular Carcinoma Using Multi-phase CT Image
W Wang, F Wang, Y Yang, Y Li, X Han, L Lin, R Tong, H Hu, Y Chen
IEICE Technical Report; IEICE Tech. Rep., 0
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