Convergence and stability of the split-step theta-method for stochastic differential equations. - Xiaohua Ding; Qiang Ma 004; Lei Zhang (Comput. Math. Appl., 2010)

Symplectic conditions and stochastic generating functions of stochastic Runge-Kutta methods for stochastic Hamiltonian systems with multiplicative noise. - Qiang Ma 004; Deqiong Ding; Xiaohua Ding (Appl. Math. Comput., 2012)

The Numerical Solution of Linear Sixth Order Boundary Value Problems with Quartic B-Splines. - Mingzhu Li; Lijuan Chen; Qiang Ma 004 (J. Appl. Math., 2013)

An unconditionally positive and global stability preserving NSFD scheme for an epidemic model with vaccination. - Deqiong Ding; Qiang Ma 004; Xiaohua Ding (Int. J. Appl. Math. Comput. Sci., 2014)

Stochastic symplectic partitioned Runge-Kutta methods for stochastic Hamiltonian systems with multiplicative noise. - Qiang Ma 004; Xiaohua Ding (Appl. Math. Comput., 2015)

Exponential Stability of Periodic Solution for Impulsive Memristor-Based Cohen-Grossberg Neural Networks with Mixed Delays. - Jiqiang Feng; Qiang Ma 004; Sitian Qin (Int. J. Pattern Recognit. Artif. Intell., 2017)

A compact ADI Crank-Nicolson difference scheme for the two-dimensional time fractional subdiffusion equation. - Mingzhu Li; Qiang Ma 004; Xiaohua Ding (Int. J. Comput. Math., 2018)

Discrete gradient methods and linear projection methods for preserving a conserved quantity of stochastic differential equations. - Xiuyan Li; Chiping Zhang; Qiang Ma 004; Xiaohua Ding (Int. J. Comput. Math., 2018)

High-order stochastic symplectic partitioned Runge-Kutta methods for stochastic Hamiltonian systems with additive noise. - Minggang Han; Qiang Ma 004; Xiaohua Ding (Appl. Math. Comput., 2019)

A spectral collocation method for nonlinear fractional initial value problems with a variable-order fractional derivative. - Rian Yan; Minggang Han; Qiang Ma 004; Xiaohua Ding (Comput. Appl. Math., 2019)

Complex Zhang neural networks for complex-variable dynamic quadratic programming. - Qiang Ma 004; Sitian Qin; Tao Jin (Neurocomputing, 2019)

The projected explicit Itô-Taylor methods for stochastic differential equations under locally Lipschitz conditions and polynomial growth conditions. - Minggang Han; Qiang Ma 004; Xiaohua Ding (J. Comput. Appl. Math., 2019)

Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time. - Iddo Drori; Anant Kharkar; William R. Sickinger; Brandon Kates; Qiang Ma 004; Suwen Ge; Eden Dolev; Brenda Dietrich; David P. Williamson; Madeleine Udell (ICMLA, 2020)

The Magnus Expansion for Stochastic Differential Equations. - Zhenyu Wang; Qiang Ma 004; Zhen Yao; Xiaohua Ding (J. Nonlinear Sci., 2020)

A new stable collocation method for solving a class of nonlinear fractional delay differential equations. - Lei Shi; Zhong Chen 001; Xiaohua Ding; Qiang Ma 004 (Numer. Algorithms, 2020)

Multistability of Almost Periodic Solution for Memristive Cohen-Grossberg Neural Networks With Mixed Delays. - Sitian Qin; Qiang Ma 004; Jiqiang Feng; Chen Xu 004 (IEEE Trans. Neural Networks Learn. Syst., 2020)

PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction. - Qiang Ma 004; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (MLCN@MICCAI, 2021)

Conservative difference scheme for fractional Zakharov system and convergence analysis. - Yao Shi; Qiang Ma 004; Xiaohua Ding (Int. J. Comput. Math., 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 004; Xiaohua Ding (Int. J. Comput. Math., 2021)

Energy-preserving scheme for the nonlinear fractional Klein-Gordon Schrödinger equation. - Longbin Wu; Qiang Ma 004; Xiaohua Ding (Math. Comput. Simul., 2021)

The parallel waveform relaxation stochastic Runge-Kutta method for stochastic differential equations. - Xuan Xin; Qiang Ma 004; Xiaohua Ding (J. Appl. Math. Comput., 2021)

Fetal Cortex Segmentation with Topology and Thickness Loss Constraints. - Liu Li; Qiang Ma 004; Zeju Li; Cheng Ouyang; Weitong Zhang; Anthony Price; Vanessa Kyriakopoulou; Lucilio Cordero-Grande; Antonios Makropoulos; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz; et al. (EPIMI/ML-CDS@MICCAI, 2022)

Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising. - Ruizhou Liu; Qiang Ma 004; Zhiwei Cheng; Yuanyuan Lyu; Jianji Wang 003; S. Kevin Zhou (MICCAI (8), 2022)

CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI. - Liu Li; Qiang Ma 004; Matthew Sinclair; Antonios Makropoulos; Joseph V. Hajnal; A. David Edwards; Bernhard Kainz; Daniel Rueckert; Amir Alansary (CoRR, 2022)

NLFFTNet: A non-local feature fusion transformer network for multi-scale object detection. - Kai Zeng; Qiang Ma 004; Jiawen Wu; Sijia Xiang; Tao Shen 004; Lei Zhang 110 (Neurocomputing, 2022)

Robust Segmentation via Topology Violation Detection and Feature Synthesis. - Liu Li; Qiang Ma 004; Cheng Ouyang; Zeju Li; Qingjie Meng; Weitong Zhang; Mengyun Qiao; Vanessa Kyriakopoulou; Joseph V. Hajnal; Daniel Rueckert; Bernhard Kainz (MICCAI (4), 2023)

Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction. - Qiang Ma 004; Liu Li; Vanessa Kyriakopoulou; Joseph V. Hajnal; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (MICCAI (4), 2023)

CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs. - Qiang Ma 004; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert; Amir Alansary (IEEE Trans. Medical Imaging, 2023)

Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis. - Liu Li; Hanchun Wang; Matthew Baugh; Qiang Ma 004; Weitong Zhang; Cheng Ouyang; Daniel Rueckert; Bernhard Kainz (MICCAI (9), 2024)

Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations. - Qiang Ma 004; Liu Li; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (MICCAI (11), 2024)

A novel explicit fully-discrete momentum-preserving scheme of damped nonlinear stochastic wave equation influenced by multiplicative space-time noise. - Feng Wang; Zhenyu Wang; Qiang Ma 004; Xiaohua Ding (Appl. Math. Lett., 2025)

The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction. - Qiang Ma 004; Kaili Liang; Liu Li; Saga Masui; Yourong Guo; Chiara Nosarti; Emma C. Robinson; Bernhard Kainz; Daniel Rueckert (Medical Image Anal., 2025)

Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic. - Liu Li; Qiang Ma 004; Cheng Ouyang; Johannes C. Paetzold; Daniel Rueckert; Bernhard Kainz (CoRR, 2025)