Search Results for author: Ruibin Feng

Found 5 papers, 3 papers with code

Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework

no code implementations30 May 2018 Hao Wang, Ruibin Feng, Chi-Sing Leung

Simulation results show that the proposed sparse approximation method has the real-time solutions with satisfactory MSEs.

l0-norm Based Centers Selection for Training Fault Tolerant RBF Networks and Selecting Centers

no code implementations30 May 2018 Hao Wang, Chi-Sing Leung, Hing Cheung So, Ruibin Feng, Zifa Han

The aim of this paper is to train an RBF neural network and select centers under concurrent faults.

Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization

1 code implementation ICCV 2019 Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh, Ruibin Feng, Michael B. Gotway, Yoshua Bengio, Jianming Liang

Qualitative and quantitative evaluations demonstrate that the proposed method outperforms the state of the art in multi-domain image-to-image translation and that it surpasses predominant weakly-supervised localization methods in both disease detection and localization.

domain classification Image-to-Image Translation +1

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

2 code implementations19 Aug 2019 Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee, Ruibin Feng, Nima Tajbakhsh, Michael B. Gotway, Jianming Liang

More importantly, learning a model from scratch simply in 3D may not necessarily yield performance better than transfer learning from ImageNet in 2D, but our Models Genesis consistently top any 2D approaches including fine-tuning the models pre-trained from ImageNet as well as fine-tuning the 2D versions of our Models Genesis, confirming the importance of 3D anatomical information and significance of our Models Genesis for 3D medical imaging.

Anatomy Brain Tumor Segmentation +6

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