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Showing results 1 to 11 of 11

	Title	Author(s)	Issue Date
	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
	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
	Intelligent Shape Decoding of a Soft Optical Waveguide Sensor Journal:Advanced Intelligent Systems	Mak, CH Li, YQ Wang, K Wu, MJ Ho, JDL Dou, Q Sze, KY Althoefer, K Kwok, KW	20-Jul-2023
	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
	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
	The Liver Tumor Segmentation Benchmark (LiTS) Journal:Medical Image Analysis	Bilic, P Christ, P Li, HB Vorontsov, E Ben-Cohen, A Kaissis, G Szeskin, A Jacobs, C Mamani, GEH Chartrand, G Lohofer, F Holch, JW Sommer, W Hofmann, F Hostettler, A Lev-Cohain, N Drozdzal, M Amitai, MM Vivanti, R Sosna, J Ezhov, I Sekuboyina, A Navarro, F Kofler, F Paetzold, JC Shit, S Hu, XB Lipkova, J Rempfler, M Piraud, M Kirschke, J Wiestler, B Zhang, ZH Hulsemeyer, C Beetz, M Ettlinger, F Antonelli, M Bae, W Bellver, M Bi, L Chen, H Chlebus, G Dam, EB Dou, Q Fu, CW Georgescu, B Giro-I-Nieto, X Gruen, F Han, X Heng, PA Hesser, J Moltz, JH Igel, C Isensee, F Jager, P Jia, FC Kaluva, KC Khened, M Kim, I Kim, JH Kim, S Kohl, S Konopczynski, T Kori, A Krishnamurthi, G Li, F Li, HC Li, JB Li, XM Lowengrub, J Ma, J Maier-Hein, K Maninis, KK Meine, H Merhof, D Pai, A Perslev, M Petersen, J Pont-Tuset, J Qi, J Qi, XJ Rippel, O Roth, K Sarasua, I Schenk, A Shen, ZM Torres, J Wachinger, C Wang, CL Weninger, L Wu, JR Xu, DG Yang, XP Yu, SCH Yuan, YD Yue, M Zhang, LP Cardoso, J Bakas, S Braren, R Heinemann, V Pal, C Tang, A Kadoury, S Soler, L van Ginneken, B Greenspan, H Joskowicz, L Menze, B	1-Feb-2023

Showing results 1 to 11 of 11