Qiang Ma

According to our database, Qiang Ma authored at least 28 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs.

Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary

IEEE Trans. Medical Imaging, February, 2023

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction.

Qiang Ma, Liu Li, Vanessa Kyriakopoulou, Joseph V. Hajnal, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Robust Segmentation via Topology Violation Detection and Feature Synthesis.

Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

NLFFTNet: A non-local feature fusion transformer network for multi-scale object detection.

Kai Zeng, Qiang Ma, Jiawen Wu, Sijia Xiang, Tao Shen, Lei Zhang

Neurocomputing, 2022

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.

Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary

CoRR, 2022

Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising.

Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.

Liu Li, Qiang Ma, Zeju Li, Cheng Ouyang, Weitong Zhang, Anthony Price, Vanessa Kyriakopoulou, Lucilio Cordero-Grande, Antonios Makropoulos, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz, Amir Alansary

Proceedings of the Ethical and Philosophical Issues in Medical Imaging, Multimodal Learning and Fusion Across Scales for Clinical Decision Support, and Topological Data Analysis for Biomedical Imaging, 2022

2021

The parallel waveform relaxation stochastic Runge-Kutta method for stochastic differential equations.

Xuan Xin, Qiang Ma, Xiaohua Ding

J. Appl. Math. Comput., June, 2021

Energy-preserving scheme for the nonlinear fractional Klein-Gordon Schrödinger equation.

Longbin Wu, Qiang Ma, Xiaohua Ding

Math. Comput. Simul., 2021

An hp-version spectral collocation method for multi-term nonlinear fractional initial value problems with variable-order fractional derivatives.

Rian Yan, Yujing Sun, Qiang Ma, Xiaohua Ding

Int. J. Comput. Math., 2021

Conservative difference scheme for fractional Zakharov system and convergence analysis.

Yao Shi, Qiang Ma, Xiaohua Ding

Int. J. Comput. Math., 2021

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction.

Qiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary

Proceedings of the Machine Learning in Clinical Neuroimaging - 4th International Workshop, 2021

2020

Multistability of Almost Periodic Solution for Memristive Cohen-Grossberg Neural Networks With Mixed Delays.

Sitian Qin, Qiang Ma, Jiqiang Feng, Chen Xu

IEEE Trans. Neural Networks Learn. Syst., 2020

A new stable collocation method for solving a class of nonlinear fractional delay differential equations.

Lei Shi, Zhong Chen, Xiaohua Ding, Qiang Ma

Numer. Algorithms, 2020

The Magnus Expansion for Stochastic Differential Equations.

Zhenyu Wang, Qiang Ma, Zhen Yao, Xiaohua Ding

J. Nonlinear Sci., 2020

Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time.

Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

The projected explicit Itô-Taylor methods for stochastic differential equations under locally Lipschitz conditions and polynomial growth conditions.

Minggang Han, Qiang Ma, Xiaohua Ding

J. Comput. Appl. Math., 2019

Complex Zhang neural networks for complex-variable dynamic quadratic programming.

Qiang Ma, Sitian Qin, Tao Jin

Neurocomputing, 2019

A spectral collocation method for nonlinear fractional initial value problems with a variable-order fractional derivative.

Rian Yan, Minggang Han, Qiang Ma, Xiaohua Ding

Comput. Appl. Math., 2019

High-order stochastic symplectic partitioned Runge-Kutta methods for stochastic Hamiltonian systems with additive noise.

Minggang Han, Qiang Ma, Xiaohua Ding

Appl. Math. Comput., 2019

2018

Discrete gradient methods and linear projection methods for preserving a conserved quantity of stochastic differential equations.

Xiuyan Li, Chiping Zhang, Qiang Ma, Xiaohua Ding

Int. J. Comput. Math., 2018

A compact ADI Crank-Nicolson difference scheme for the two-dimensional time fractional subdiffusion equation.

Mingzhu Li, Qiang Ma, Xiaohua Ding

Int. J. Comput. Math., 2018

2017

Exponential Stability of Periodic Solution for Impulsive Memristor-Based Cohen-Grossberg Neural Networks with Mixed Delays.

Jiqiang Feng, Qiang Ma, Sitian Qin

Int. J. Pattern Recognit. Artif. Intell., 2017

2015

Stochastic symplectic partitioned Runge-Kutta methods for stochastic Hamiltonian systems with multiplicative noise.

Qiang Ma, Xiaohua Ding

Appl. Math. Comput., 2015

2014

An unconditionally positive and global stability preserving NSFD scheme for an epidemic model with vaccination.

Deqiong Ding, Qiang Ma, Xiaohua Ding

Int. J. Appl. Math. Comput. Sci., 2014

2013

The Numerical Solution of Linear Sixth Order Boundary Value Problems with Quartic B-Splines.

Mingzhu Li, Lijuan Chen, Qiang Ma

J. Appl. Math., 2013

2012

Symplectic conditions and stochastic generating functions of stochastic Runge-Kutta methods for stochastic Hamiltonian systems with multiplicative noise.

Qiang Ma, Deqiong Ding, Xiaohua Ding

Appl. Math. Comput., 2012

2010

Convergence and stability of the split-step theta-method for stochastic differential equations.

Xiaohua Ding, Qiang Ma, Lei Zhang

Comput. Math. Appl., 2010