Weiyi Xie - RankMe

21 papers A 1B 1Journal 15Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images. WACV Weiyi Xie, Nathalie Willems, Shubham Patil, Yang Li, Mayank Kumar
2024	J	`jnl`	SAM Fewshot Finetuning for Anatomical Segmentation in Medical Images. CoRR Weiyi Xie, Nathalie Willems, Shubham Patil, Yang Li, Mayank Kumar
2024	—	`conf`	Semi-Supervised Segmentation via Embedding Matching. MIDL Weiyi Xie, Nathalie Willems, Nikolas Lessmann, Tom Gibbons, Daniele De Massari
2024	J	`jnl`	Semi-Supervised Segmentation via Embedding Matching. CoRR Weiyi Xie, Nathalie Willems, Nikolas Lessmann, Tom Gibbons, Daniele De Massari
2024	J	`jnl`	Structure and position-aware graph neural network for airway labeling. Medical Image Anal. Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
2023	J	`jnl`	2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small data. Biomed. Signal Process. Control. Xin Wang, Ruisheng Su, Weiyi Xie, Wenjin Wang, Yi Xu, Ritse Mann, Jungong Han, Tao Tan
2023	J	`jnl`	Dense regression activation maps for lesion segmentation in CT scans of COVID-19 patients. Medical Image Anal. Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
2023	J	`jnl`	Emphysema Subtyping on Thoracic Computed Tomography Scans using Deep Neural Networks. CoRR Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Dirk Jan Slebos, Bram van Ginneken
2022	J	`jnl`	Research on Automatic Identification Method of Terraces on the Loess Plateau Based on Deep Transfer Learning. Remote. Sens. Mingge Yu, Xiaoping Rui, Weiyi Xie, Xijie Xu, Wei Wei
2022	J	`jnl`	Structure and position-aware graph neural network for airway labeling. CoRR Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
2021	J	`jnl`	Deep Clustering Activation Maps for Emphysema Subtyping. CoRR Weiyi Xie, Colin Jacobs, Bram van Ginneken
2021	J	`jnl`	Dense Regression Activation Maps For Lesion Segmentation in CT scans of COVID-19 patients. CoRR Weiyi Xie, Colin Jacobs, Bram van Ginneken
2020	J	`jnl`	2.75D Convolutional Neural Network for Pulmonary Nodule Classification in Chest CT. CoRR Ruisheng Su, Weiyi Xie, Tao Tan
2020	J	`jnl`	Contextual Two-Stage U-Nets for Robust Pulmonary Lobe Segmentation in CT Scans of COVID-19 and COPD Patients. CoRR Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
2020	J	`jnl`	Relational Modeling for Robust and Efficient Pulmonary Lobe Segmentation in CT Scans. IEEE Trans. Medical Imaging Weiyi Xie, Colin Jacobs, Jean-Paul Charbonnier, Bram van Ginneken
2020	—	`conf`	Usage Intention of Internet of Vehicles Based on CAB Model: The Moderating Effect of Reference Groups. ICCCS Xiaoyu Huang, Weiyi Xie, Xiaomin Xu, Delphine Ya-Chu Chan
2020	J	`jnl`	Visualization and Outlier Detection for Multivariate Elastic Curve Data. IEEE Trans. Vis. Comput. Graph. Weiyi Xie, Oksana A. Chkrebtii, Sebastian Kurtek
2019	—	`conf`	Learning Deep Features for Giant Panda Gender Classification using Face Images. ICCV Workshops Hongnian Wang, Han Su, Peng Chen, Rong Hou, Zhihe Zhang, Weiyi Xie
2018	J	`jnl`	Structural correlates of literacy difficulties in the second language: Evidence from Mandarin-speaking children learning English. NeuroImage Hehui Li, James R. Booth, Nathalie N. Bélanger, Xiaoxia Feng, Mengyu Tian, Weiyi Xie, Manli Zhang, Yue Gao, Chen Ang, Xiujie Yang, Li Liu, Xiangzhi Meng, Guosheng Ding
2014	—	`conf`	Balance learning to rank in big data. EUSIPCO Guanqun Cao, Iftikhar Ahmad, Honglei Zhang, Weiyi Xie, Moncef Gabbouj
2014	B	`conf`	Incremental Learning with Support Vector Data Description. ICPR Weiyi Xie, Stefan Uhlmann, Serkan Kiranyaz, Moncef Gabbouj