Authors: Zhang, Yujia, Kampffmeyer, Michael C., Liang, Xiaodan, Zhang, Dingwen, Tan, Min, Xing, Eric P.
Subject Terms: VDP::Technology: 500, VDP::Teknologi: 500
Relation: Multimedia tools and applications; Norges forskningsråd: 239844; info:eu-repo/grantAgreement/RCN/IKTPLUSS/239844/Norway/Next Generation Kernel-Based Machine Learning for Big Missing Data Applied to Earth Observation//; Zhang Y, Kampffmeyer MC, Liang X, Zhang, Tan M, Xing EP. Dilated temporal relational adversarial network for generic video summarization. Multimedia tools and applications. 2019;78(24):35237-35261; FRIDAID 1749907; https://hdl.handle.net/10037/17624
Authors: Dong, Nanqing, Kampffmeyer, Michael C., Liang, Xiaodan, Wang, Zeya, Dai, Wei, Xing, Eric P.
Subject Terms: VDP::Mathematics and natural science: 400::Physics: 430, VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430, Breast cancer, Deep reinforcement learning, Medical image segmentation, Whole-slide images
Relation: Lecture Notes in Computer Science; Dong, N., Kampffmeyer, M., Liang, X., Wang, Z., Dai, W. & Xing, E.P. (2018). Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide Images. Lecture Notes in Computer Science . https://doi.org/10.1007/978-3-030-00889-5_36; FRIDAID 1655978; https://hdl.handle.net/10037/14733
Subject Terms: Salient segmentation, convolutional neural networks, salient instance-level segmentation, connectivity, VDP::Mathematics and natural science: 400::Physics: 430, VDP::Matematikk og Naturvitenskap: 400::Fysikk: 430
Relation: IEEE Transactions on Image Processing; Norges forskningsråd: 239844; info:eu-repo/grantAgreement/RCN/IKTPLUSS/239844/Norway/Next Generation Kernel-Based Machine Learning for Big Missing Data Applied to Earth Observation//; Kampffmeyer, M., Dong, N., Liang, X., Zhang, Y. & Xing, E.P. (2018). ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation. IEEE Transactions on Image Processing, 28 (5), 2518-2529. https://doi.org/10.1109/TIP.2018.2886997; FRIDAID 1655951; https://hdl.handle.net/10037/15212
Authors: Dong, Nanqing, Kampffmeyer, Michael C., Liang, Xiaodan, Wang, Zeya, Dai, Wei, Xing, Eric P.
Subject Terms: VDP::Technology: 500::Medical technology: 620, VDP::Teknologi: 500::Medisinsk teknologi: 620, VDP::Medical disciplines: 700::Clinical medical disciplines: 750::Cardiology: 771, VDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Kardiologi: 771
Relation: Lecture Notes in Computer Science; Dong N., Kampffmeyer M., Liang X., Wang Z., Dai W. & Xing E. (2018) Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio. In: Frangi A., Schnabel J., Davatzikos C., Alberola-López C., Fichtinger G. (eds) Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. MICCAI 2018. Lecture Notes in Computer Science, vol 11071 . Cham: Springer. https://doi.org/10.1007/978-3-030-00934-2_61; FRIDAID 1631709; https://hdl.handle.net/10037/16444