Ruiming Cao - RankMe

22 papers A* 3B 1Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Multi-Modal Deformable Image Registration Using Untrained Neural Networks. ISBI Quang Luong Nhat Nguyen, Ruiming Cao, Laura Waller
2024	J	`jnl`	Multi-modal deformable image registration using untrained neural networks. CoRR Quang-Dung Nguyen, Ruiming Cao, Laura Waller
2024	J	`jnl`	Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras. CoRR Ruiming Cao, Dekel Galor, Amit P. S. Kohli, Jacob L. Yates, Laura Waller
2024	—	`—`	Unknown Motion Calibration and Dynamic Imaging Reconstruction Ruiming Cao
2022	B	`conf`	Dynamic Structured Illumination Microscopy with a Neural Space-time Model. ICCP Ruiming Cao, Fanglin Linda Liu, Li-Hao Yeh, Laura Waller
2022	J	`jnl`	Dynamic Structured Illumination Microscopy with a Neural Space-time Model. CoRR Ruiming Cao, Fanglin Linda Liu, Li-Hao Yeh, Laura Waller
2021	J	`jnl`	Extraction of an Explanatory Graph to Interpret a CNN. IEEE Trans. Pattern Anal. Mach. Intell. Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu
2021	J	`jnl`	Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering. IEEE Trans. Pattern Anal. Mach. Intell. Quanshi Zhang, Jie Ren, Ge Huang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
2019	J	`jnl`	Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet. IEEE Trans. Medical Imaging Ruiming Cao, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Sepideh Shakeri, Xinran Zhong, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung
2019	—	`conf`	Prostate Cancer Detection and Segmentation in Multi-parametric MRI via CNN and Conditional Random Field. ISBI Ruiming Cao, Xinran Zhong, Sepideh Shakeri, Amirhossein Mohammadian Bajgiran, Sohrab Afshari Mirak, Dieter Enzmann, Steven S. Raman, Kyung Hyun Sung
2019	—	`conf`	Prostate Cancer Inference via Weakly-Supervised Learning using a Large Collection of Negative MRI. ICCV Workshops Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung
2019	J	`jnl`	Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI. CoRR Ruiming Cao, Xinran Zhong, Fabien Scalzo, Steven S. Raman, Kyung Hyun Sung
2019	J	`jnl`	Spatiotemporal Clustering Analysis of Bicycle Sharing System with Data Mining Approach. Inf. Xinwei Ma, Ruiming Cao, Yuchuan Jin
2018	J	`jnl`	Explanatory Graphs for CNNs. CoRR Quanshi Zhang, Xin Wang, Ruiming Cao, Ying Nian Wu, Feng Shi, Song-Chun Zhu
2018	A*	`conf`	Interpreting CNN Knowledge via an Explanatory Graph. AAAI Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu
2018	J	`jnl`	Mining Interpretable AOG Representations from Convolutional Networks via Active Question Answering. CoRR Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
2017	A*	`conf`	Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning. AAAI Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
2017	J	`jnl`	Interactively Transferring CNN Patterns for Part Localization. CoRR Quanshi Zhang, Ruiming Cao, Shengming Zhang, Mark Edmonds, Ying Nian Wu, Song-Chun Zhu
2017	J	`jnl`	Interpreting CNN knowledge via an Explanatory Graph. CoRR Quanshi Zhang, Ruiming Cao, Feng Shi, Ying Nian Wu, Song-Chun Zhu
2017	A*	`conf`	Mining Object Parts from CNNs via Active Question-Answering. CVPR Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
2017	J	`jnl`	Mining Object Parts from CNNs via Active Question-Answering. CoRR Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu
2016	J	`jnl`	Multi-Shot Mining Semantic Part Concepts in CNNs. CoRR Quanshi Zhang, Ruiming Cao, Ying Nian Wu, Song-Chun Zhu