44 citations · 62 across the 7 of their papers we have counts for
7 papers
Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization
Md Mahfuzur Rahman Siddiquee, Zongwei Zhou, Nima Tajbakhsh +4
Generative adversarial networks (GANs) have ushered in a revolution in image-to-image translation. The development and proliferation of GANs raises an interesting question: can we…
Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
Zongwei Zhou, Vatsal Sodha, Md Mahfuzur Rahman Siddiquee +4
Transfer learning from natural image to medical image has established as one of the most practical paradigms in deep learning for medical image analysis. However, to fit this parad…
Robust Real-time Ellipse Fitting Based on Lagrange Programming Neural Network and Locally Competitive Algorithm
Hao Wang, Chi-Sing Leung, Hing Cheung So +3
Given a set of 2-dimensional (2-D) scattering points, which are usually obtained from the edge detection process, the aim of ellipse fitting is to construct an elliptic equation th…
Robust MIMO Radar Target Localization based on Lagrange Programming Neural Network
Hao Wang, Chi-Sing Leung, Hing Cheung So +3
This paper focuses on target localization in a widely distributed multiple-input-multiple-output (MIMO) radar system. In this system, range measurements, which include the sum of d…
Fast L1-Minimization Algorithm for Sparse Approximation Based on an Improved LPNN-LCA framework
Hao Wang, Ruibin Feng, Chi-Sing Leung
The aim of sparse approximation is to estimate a sparse signal according to the measurement matrix and an observation vector. It is widely used in data analytics, image processing,…
l0-norm Based Centers Selection for Training Fault Tolerant RBF Networks and Selecting Centers
Hao Wang, Chi-Sing Leung, Hing Cheung So +2
The aim of this paper is to train an RBF neural network and select centers under concurrent faults. It is well known that fault tolerance is a very attractive property for neural n…
Neural-networks-based Photon-Counting Data Correction: Pulse Pileup Effect
Ruibin Feng, David Rundle, Ge Wang
Compared with the start-of-art energy integration detectors (EIDs), photon-counting detectors (PCDs) with energy discrimination capabilities have demonstrated great potentials in v…