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Browsing by Author Dou, Q
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Showing results 1 to 9 of 9
Title
Author(s)
Issue Date
Views
A Two-Stage Approach for Automated Prostate Lesion Detection and Classification with Mask R-CNN and Weakly Supervised Deep Neural Network
Proceeding/Conference:
Artificial intelligence in radiation therapy: first International Workshop, AIRT 2019, held in conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings
Liu, Z
Jiang, W
Lee, KH
Lo, YL
Ng, YL
Dou, Q
Vardhanabhuti, V
Kwok, KW
2019
Deep multilevel contextual networks for biomedical image segmentation
Book:
Handbook of Medical Image Computing and Computer Assisted Intervention
Chen, H
Dou, Q
Qi, X
Cheng, J
Heng, P
2020
90
Domain Adaptive Graph Infomax via Conditional Adversarial Networks
Journal:
IEEE Transactions on Network Science and Engineering
XIAO, J
DAI, Q
Xie, X
DOU, Q
Kwok, KW
Lam, J
2022
Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study
Journal:
npj Digital Medicine
Dou, Q
So, TY
Jiang, M
Liu, Q
Vardhanabhuti, V
Kaissis, G
Li, Z
Si, W
Lee, HHC
Yu, K
Feng, Z
Dong, L
Burian, E
Jungmann, F
Braren, R
Makowski, M
Kainz, B
Rueckert, D
Glocker, B
Yu, SCH
Heng, PA
2021
Imaging-Based Deep Graph Neural Networks for Survival Analysis in Early Stage Lung Cancer Using CT: A Multicenter Study
Journal:
Frontiers in Oncology
LIAN, J
Long, Y
Huang, F
Ng, KS
Lee, FMY
Lam, CLD
Fang, B
Dou, Q
Vardhanabhuti, V
2022
Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods-A Critical Review of Literature
Journal:
Cancers
Xie, CY
Pang, CL
Chan, B
Wong, EYY
Dou, Q
Vardhanabhuti, V
2021
Overall survival prediction for stage II and stage III non-small cell lung cancer patients using a graph-based deep learning algorithm.
Proceeding/Conference:
European Congress of Radiology (ECR) Summer 2022
LIAN, J
She, Y
Long, F
Huang, F
Deng, J
Dou, Q
Chen, C
Vardhanabhuti, V
2022
Respiratory Motion Correction in Abdominal MRI using a Densely Connected U-Net with GAN-guided Training
Journal:
arXiv preprint
JIANG, W
LIU, Z
CHEN, S
Ng, YL
Dou, Q
Chang, HCC
Kwok, KW
2019
62
Robust Medical Image Classification From Noisy Labeled Data With Global and Local Representation Guided Co-Training
Journal:
IEEE Transactions on Medical Imaging
Xue, C
Yu, L
Chen, P
Dou, Q
Heng, PA
2022
2