RC

Ruiming Cao

0000-0002-0936-114X

cs.CVeess.IVcs.LGphysics.opticsDeep Learningautomatic cancer detectionbiophysicsClinically significant lesion classificationcs.GRdeep learning

On Valency

published · living versions

A Better Critic Matters for Distribution Matching Distillation

with Zongze Wu, Xianbang Wang, Zhengyang Geng, Mingdeng Cao +3

1 version

W_enwf5tu9v1 · current

Preprints & journals

20 papers in the corpus · 2016–2026

Sparse Light Field Sampling Improves Casual 3D and 4D Reconstruction

Shamus Li, Ruiming Cao, Laura Waller et al.

0 citations

2608.20602v12026arXiv

Perturbative Fourier ptychographic microscopy for fast quantitative phase imaging.

Zach, Martin, Shen, Kuan-Chen, Cao, Ruiming et al.

4 citations

409842912025Optics express. 2025;33(18):38984-38996

Sample motion for structured illumination fluorescence microscopy.

Cao, Ruiming, Meng, Guanghan, Waller, Laura

0 citations

405129462025Optics letters. 2025;50(12):4074-4077

Multi-modal deformable image registration using untrained neural networks

Quang Luong Nhat Nguyen, Ruiming Cao, Laura Waller

0 citations

2411.02672v22024arXiv

Neural space-time model for dynamic multi-shot imaging.

Cao, Ruiming, Divekar, Nikita S, Nuñez, James K et al.

29 citations

393177292024Nature methods. 2024;21(12):2336-2341

Space-time reconstruction for lensless imaging using implicit neural representations.

Chien, Tiffany, Cao, Ruiming, Liu, Fanglin Linda et al.

6 citations

405149262025Optics express. 2024;32(20):35725-35732

Noise2Image: Noise-Enabled Static Scene Recovery for Event Cameras

Ruiming Cao, Dekel Galor, Amit Kohli et al.

24 citations

2404.01298v22024Optica 12 (2025) 46-55

Neural space-time model for dynamic scene recovery in multi-shot computational imaging systems

Cao, R., Divekar, N. S., Nunez, J. et al.

2 citations

10.1101/2024.01.16.575950v22024bioRxiv

Dynamic Structured Illumination Microscopy with a Neural Space-time Model

Ruiming Cao, Fanglin Linda Liu, Li-Hao Yeh et al.

18 citations

2206.01397v22022IEEE International Conference on Computational Photography (ICCP) 2022

Extraction of an Explanatory Graph to Interpret a CNN.

Zhang, Quanshi, Wang, Xin, Cao, Ruiming et al.

40 citations

323861382021IEEE transactions on pattern analysis and machine intelligence. 2021;43(11):3863-3877

Mining Interpretable AOG Representations From Convolutional Networks via Active Question Answering.

Zhang, Quanshi, Ren, Jie, Huang, Ge et al.

13 citations

323960712021IEEE transactions on pattern analysis and machine intelligence. 2021;43(11):3949-3963

Performance of Deep Learning and Genitourinary Radiologists in Detection of Prostate Cancer Using 3-T Multiparametric Magnetic Resonance Imaging.

Cao, Ruiming, Zhong, Xinran, Afshari, Sohrab et al.

33 citations

337095322021Journal of magnetic resonance imaging : JMRI. 2021;54(2):474-483

Prostate cancer inference via weakly-supervised learning using a large collection of negative MRI

Ruiming Cao, Xinran Zhong, Fabien Scalzo et al.

7 citations

1910.02185v12019arXiv

Deep transfer learning-based prostate cancer classification using 3 Tesla multi-parametric MRI.

Zhong, Xinran, Cao, Ruiming, Shakeri, Sepideh et al.

93 citations

304605292020Abdominal radiology (New York). 2019;44(6):2030-2039

Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet.

Cao, Ruiming, Mohammadian Bajgiran, Amirhossein, Afshari Mirak, Sohrab et al.

219 citations

308352182020IEEE transactions on medical imaging. 2019;38(11):2496-2506

Explanatory Graphs for CNNs

Quanshi Zhang, Xin Wang, Ruiming Cao et al.

3 citations

1812.07997v12018arXiv

Interactively Transferring CNN Patterns for Part Localization

Quanshi Zhang, Ruiming Cao, Shengming Zhang et al.

12 citations

1708.01783v22017arXiv

Interpreting CNN Knowledge via an Explanatory Graph

Quanshi Zhang, Ruiming Cao, Feng Shi et al.

221 citations

1708.01785v32017arXiv

Mining Object Parts from CNNs via Active Question-Answering

Quanshi Zhang, Ruiming Cao, Ying Nian Wu et al.

23 citations

1704.03173v12017Quanshi Zhang, Ruiming Cao, Ying Nian Wu, and Song-Chun Zhu, "Mining Object Parts from CNNs via Active Question-Answering" in CVPR 2017

Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning

Quanshi Zhang, Ruiming Cao, Ying Nian Wu et al.

64 citations

1611.04246v22016arXiv

Career total: 50 works. 20 are in this corpus.

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