Qiang Ma

40 papers C 1Journal 30Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A novel explicit fully-discrete momentum-preserving scheme of damped nonlinear stochastic wave equation influenced by multiplicative space-time noise.
Appl. Math. Lett.
Feng Wang, Zhenyu Wang, Qiang Ma, Xiaohua Ding
2025 — conf
CardiacFlow: 3D+t Four-Chamber Cardiac Shape Completion and Generation via Flow Matching.
MICCAI (2)
Qiang Ma, Qingjie Meng, Mengyun Qiao, Paul M. Matthews, Declan P. O'Regan, Wenjia Bai
2025 — conf
Mesh4D: A Motion-Aware Multi-view Variational Autoencoder for 3D+t Mesh Reconstruction.
MICCAI (16)
Mengyun Qiao, Jin Zheng, Weitong Zhang, Qiang Ma, Liu Li, Bernhard Kainz, Declan P. O'Regan, Paul M. Matthews, Steven A. Niederer, Wenjia Bai
2025 J jnl
The Developing Human Connectome Project: A fast deep learning-based pipeline for neonatal cortical surface reconstruction.
Medical Image Anal.
Qiang Ma, Kaili Liang, Liu Li, Saga Masui, Yourong Guo, Chiara Nosarti, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert
2025 J jnl
Topology Optimization in Medical Image Segmentation With Fast χ Euler Characteristic.
IEEE Trans. Medical Imaging
Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
2025 J jnl
Topology Optimization in Medical Image Segmentation with Fast Euler Characteristic.
CoRR
Liu Li, Qiang Ma, Cheng Ouyang, Johannes C. Paetzold, Daniel Rueckert, Bernhard Kainz
2024 — conf
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis.
MICCAI (9)
Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz
2024 J jnl
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis.
CoRR
Liu Li, Hanchun Wang, Matthew Baugh, Qiang Ma, Weitong Zhang, Cheng Ouyang, Daniel Rueckert, Bernhard Kainz
2024 — conf
Weakly Supervised Learning of Cortical Surface Reconstruction from Segmentations.
MICCAI (11)
Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert
2023 — conf
Conditional Temporal Attention Networks for Neonatal Cortical Surface Reconstruction.
MICCAI (4)
Qiang Ma, Liu Li, Vanessa Kyriakopoulou, Joseph V. Hajnal, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert
2023 J jnl
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs.
IEEE Trans. Medical Imaging
Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary
2023 — conf
Robust Segmentation via Topology Violation Detection and Feature Synthesis.
MICCAI (4)
Liu Li, Qiang Ma, Cheng Ouyang, Zeju Li, Qingjie Meng, Weitong Zhang, Mengyun Qiao, Vanessa Kyriakopoulou, Joseph V. Hajnal, Daniel Rueckert, Bernhard Kainz
2022 J jnl
CAS-Net: Conditional Atlas Generation and Brain Segmentation for Fetal MRI.
CoRR
Liu Li, Qiang Ma, Matthew Sinclair, Antonios Makropoulos, Joseph V. Hajnal, A. David Edwards, Bernhard Kainz, Daniel Rueckert, Amir Alansary
2022 J jnl
CortexODE: Learning Cortical Surface Reconstruction by Neural ODEs.
CoRR
Qiang Ma, Liu Li, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary
2022 — conf
Fetal Cortex Segmentation with Topology and Thickness Loss Constraints.
EPIMI/ML-CDS@MICCAI
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
2022 J jnl
NLFFTNet: A non-local feature fusion transformer network for multi-scale object detection.
Neurocomputing
Kai Zeng, Qiang Ma, Jiawen Wu, Sijia Xiang, Tao Shen, Lei Zhang
2022 J jnl
Stabilize, Decompose, and Denoise: Self-Supervised Fluoroscopy Denoising.
CoRR
Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou
2022 — conf
Stabilize, Decompose, and Denoise: Self-supervised Fluoroscopy Denoising.
MICCAI (8)
Ruizhou Liu, Qiang Ma, Zhiwei Cheng, Yuanyuan Lyu, Jianji Wang, S. Kevin Zhou
2021 J jnl
An hp-version spectral collocation method for multi-term nonlinear fractional initial value problems with variable-order fractional derivatives.
Int. J. Comput. Math.
Rian Yan, Yujing Sun, Qiang Ma, Xiaohua Ding
2021 J jnl
Conservative difference scheme for fractional Zakharov system and convergence analysis.
Int. J. Comput. Math.
Yao Shi, Qiang Ma, Xiaohua Ding
2021 J jnl
Energy-preserving scheme for the nonlinear fractional Klein-Gordon Schrödinger equation.
Math. Comput. Simul.
Longbin Wu, Qiang Ma, Xiaohua Ding
2021 — conf
PialNN: A Fast Deep Learning Framework for Cortical Pial Surface Reconstruction.
MLCN@MICCAI
Qiang Ma, Emma C. Robinson, Bernhard Kainz, Daniel Rueckert, Amir Alansary
2021 J jnl
The parallel waveform relaxation stochastic Runge-Kutta method for stochastic differential equations.
J. Appl. Math. Comput.
Xuan Xin, Qiang Ma, Xiaohua Ding
2020 J jnl
A new stable collocation method for solving a class of nonlinear fractional delay differential equations.
Numer. Algorithms
Lei Shi, Zhong Chen, Xiaohua Ding, Qiang Ma
2020 C conf
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time.
ICMLA
Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell
2020 J jnl
Learning to Solve Combinatorial Optimization Problems on Real-World Graphs in Linear Time.
CoRR
Iddo Drori, Anant Kharkar, William R. Sickinger, Brandon Kates, Qiang Ma, Suwen Ge, Eden Dolev, Brenda Dietrich, David P. Williamson, Madeleine Udell
2020 J jnl
Multistability of Almost Periodic Solution for Memristive Cohen-Grossberg Neural Networks With Mixed Delays.
IEEE Trans. Neural Networks Learn. Syst.
Sitian Qin, Qiang Ma, Jiqiang Feng, Chen Xu
2020 J jnl
The Magnus Expansion for Stochastic Differential Equations.
J. Nonlinear Sci.
Zhenyu Wang, Qiang Ma, Zhen Yao, Xiaohua Ding
2019 J jnl
A spectral collocation method for nonlinear fractional initial value problems with a variable-order fractional derivative.
Comput. Appl. Math.
Rian Yan, Minggang Han, Qiang Ma, Xiaohua Ding
2019 J jnl
Complex Zhang neural networks for complex-variable dynamic quadratic programming.
Neurocomputing
Qiang Ma, Sitian Qin, Tao Jin
2019 J jnl
High-order stochastic symplectic partitioned Runge-Kutta methods for stochastic Hamiltonian systems with additive noise.
Appl. Math. Comput.
Minggang Han, Qiang Ma, Xiaohua Ding
2019 J jnl
The projected explicit Itô-Taylor methods for stochastic differential equations under locally Lipschitz conditions and polynomial growth conditions.
J. Comput. Appl. Math.
Minggang Han, Qiang Ma, Xiaohua Ding
2018 J jnl
A compact ADI Crank-Nicolson difference scheme for the two-dimensional time fractional subdiffusion equation.
Int. J. Comput. Math.
Mingzhu Li, Qiang Ma, Xiaohua Ding
2018 J jnl
Discrete gradient methods and linear projection methods for preserving a conserved quantity of stochastic differential equations.
Int. J. Comput. Math.
Xiuyan Li, Chiping Zhang, Qiang Ma, Xiaohua Ding
2017 J jnl
Exponential Stability of Periodic Solution for Impulsive Memristor-Based Cohen-Grossberg Neural Networks with Mixed Delays.
Int. J. Pattern Recognit. Artif. Intell.
Jiqiang Feng, Qiang Ma, Sitian Qin
2015 J jnl
Stochastic symplectic partitioned Runge-Kutta methods for stochastic Hamiltonian systems with multiplicative noise.
Appl. Math. Comput.
Qiang Ma, Xiaohua Ding
2014 J jnl
An unconditionally positive and global stability preserving NSFD scheme for an epidemic model with vaccination.
Int. J. Appl. Math. Comput. Sci.
Deqiong Ding, Qiang Ma, Xiaohua Ding
2013 J jnl
The Numerical Solution of Linear Sixth Order Boundary Value Problems with Quartic B-Splines.
J. Appl. Math.
Mingzhu Li, Lijuan Chen, Qiang Ma
2012 J jnl
Symplectic conditions and stochastic generating functions of stochastic Runge-Kutta methods for stochastic Hamiltonian systems with multiplicative noise.
Appl. Math. Comput.
Qiang Ma, Deqiong Ding, Xiaohua Ding
2010 J jnl
Convergence and stability of the split-step theta-method for stochastic differential equations.
Comput. Math. Appl.
Xiaohua Ding, Qiang Ma, Lei Zhang