Publications
Below you can find a list of some of the publications of members of the SCOPA lab.
|
|
"An operator-splitting approach for variational optimal control formulations for diffeomorphic shape matching"
by A. Mang, J. He & R. Azencott in
Journal of Computational Physics 493, 1124632023, 2023.
[doi:10.1016/j.jcp.2023.112463] |
|
|
"CLAIRE---Parallelized diffeomorphic image registration for large-scale biomedical imaging applications"
by M. Brunn, N. Himthani, J. Y. Kim, M. Schulte, A. Mang & G. Biros in
Journal of Imaging 8 (9), 251, 2022.
[doi:10.3390/jimaging8090251] |
|
|
"Stochastic neural networks for automatic cell tracking in microscopy image sequences of bacterial colonies"
by S Sarmadi, JJ Winkle, RN Alnahhas, MR Bennett, K Josić, A Mang & R. Azencott in
Mathematical and Computational Applications 27 (2), 22, 2022.
[doi:10.3390/mca27020022] |
|
|
"CLAIRE: Constrained large deformation diffeomorphic image registration on parallel computing architectures"
by M. Brunn, N. Himthani, G. Biros, M. Mehl & A. Mang in
Journal of Open Source Software, 6(61), 3038, 2021.
[doi:10.21105/joss.03038] |
|
|
"Diffeomorphic shape matching by operator splitting in 3D cardiology imaging"
by P. Zhang, A Mang, J. He, R. Azencott, K. C. El-Tallawi, & W. A. Zoghbi in
Journal of Optimization Theory and Applications, 188:143--168, 2021.
[doi:10.1007/s10957-020-01789-5] [arXiv:2011.10165] |
|
|
"Estimating glioblastoma biophysical growth parameters using deep learning regression"
by S. Pati, V. Sharma, H. Aslam, S. Thakur, H. Akbari, A. Mang, S. Subramanian, G. Biros, C. Davatzikos & S. Bakas in
Proc. International MICCAI Brainlesion Workshop, LNCS 12658, pp. 157--167, 2021.
[doi:10.1007/978-3-030-72084-1_15] |
|
|
"Fast GPU 3D diffeomorphic image registration"
by M. Brunn, N. Himthani, G. Biros, M. Mehl & A. Mang in
Journal of Parallel and Distributed Computing, 149:149--162, 2021.
[doi:10.1016/j.jpdc.2020.11.006] [arXiv:2004.08893] |
|
|
"Multi-node multi-GPU diffeomorphic image registration for large-scale imaging problems"
by M. Brunn, N. Himthani, G. Biros, M. Mehl & A. Mang in
Proc ACM/IEEE Conference on Supercomputing, pp. 523–539, 2020.
[doi:10.1109/SC41405.2020.00042] [arXiv:2008.12820] |
|
|
"Integrated biophysical modeling and image analysis: Application to neuro-oncology"
by A. Mang, S. Bakas, S. Subramanian, G. Biros & C. Davatzikos in
Annual Review of Biomedical Engineering, 22:309--341, 2020.
[doi:10.1146/annurev-bioeng-062117-121105] [arXiv:2002.09628] |
|
|
"Image-driven biophysical tumor growth model calibration"
by K. Scheufele, S. Subramanian, A. Mang, G. Biros & M. Mehl in
SIAM Journal on Scientific Computing, 42(3):B549--B580, 2020.
[doi:19M1275280] [arXiv:1907.07774] |
|
|
"CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration"
by A. Mang, A. Gholami, C. Davatzikos & G. Biros in
SIAM Journal on Scientific Computing, 41(5):C548--C584, 2019.
[doi:10.1137/18M1207818] [arXiv:1808.04487] |
|
|
"Coupling brain-tumor biophysical models and diffeomorphic image registration"
by K. Scheufele, A. Mang, A. Gholami, C. Davatzikos, G. Biros & M. Mehl in
Computer Methods in Applied Mechanics and Engineering, 347:533--567, 2019. [doi:10.1016/j.cma.2018.12.008] [arXiv:1710.06420] |
|
|
"PDE-constrained optimization in medical image analysis"
by A. Mang, A. Gholami, C. Davatzikos & G. Biros in
Optimization and Engineering, 19(3):765--812, 2018.
[doi:10.1007/s11081-018-9390-9] [arXiv:1803.00058] |
|
|
"A semi-Lagrangian two-level preconditioned Newton–Krylov solver for constrained diffeomorphic image registration"
by A. Mang & G. Biros in
SIAM Journal on Scientific Computing, 39(6):B1064--B1101, 2017.
[doi:10.1137/16M1070475] [arXiv:1604.02153] |
|
|
"A Lagrangian Gauss--Newton--Krylov solver for intensity- and mass-preserving diffeomorphic image registration"
by A. Mang & L. Ruthotto in
SIAM Journal on Scientific Computing, 39(5):B860--B885, 2017.
[doi:10.1137/17M1114132] [arXiv:1703.04446] |
|
|
"A framework for scalable biophysics-based image analysis"
by A. Gholami, A. Mang, K. Scheufele, C. Davatzikos, M. Mehl, & G. Biros in
Proc ACM/IEEE Conference on SuperComputing, 19:1–19:13, 2017.
[doi:10.1145/3126908.3126930] |
|
|
"An inverse problem formulation for parameter estimation of a reaction-diffusion model for low grade gliomas"
by A. Gholami, A. Mang & G. Biros in
Journal on Mathematical Biology, 72(1):409–433, 2016.
[doi:10.1007/s00285-015-0888-x] [arXiv:1408.6221] |
|
|
"Distributed-memory large deformation diffeomorphic 3D image registration"
by A. Mang, A. Gholami & G. Biros in
Proc ACM/IEEE Conference on SuperComputing, 72:842-853, 2016.
[doi:10.1109/SC.2016.71] [arXiv:1608.03630] |
|
|
"Constrained H1 regularization schemes for diffeomorphic image registration"
by A. Mang & G. Biros in
SIAM Journal on Imaging Sciences, 9(3):1154-1194, 2016.
[doi:10.1137/15M1010919] [arXiv:1503.00757] |
|
|
"An inexact Newton-Krylov algorithm for constrained diffeomorphic image registration"
by A. Mang & G. Biros in
SIAM Journal on Imaging Sciences, 8(2):1030-1069, 2015.
[doi:10.1137/140984002] [arXiv:1408.6299] |
|
|
"Methoden zur numerischen Simulation der Progression von Gliomen: Modellentwicklung, Numerik und Parameteridentifikation"
by A. Mang Springer, 2014.
[doi:10.1007/978-3-658-05246-1] |
|
|
"Cyclic numerical time integration in variational non-rigid image registration based on quadratic regularisation"
by A. Mang, T. A. Schuetz, S. Becker, A. Toma & T. M. Buzug in
In Proc Vision Modeling and Visualization Workshop, pages 143--150, 2012.
[doi:10.2312/PE/VMV/VMV12/143-150] |
|
|
"Biophysical modeling of brain tumor progression: From unconditionally stable explicit time integration to an inverse problem with parabolic PDE constraints for model calibration"
by A. Mang, A. Toma, T. A. Schuetz, S. Becker, C. Mohr, T. Eckey, D. Petersen & T. M. Buzug in
Medical Physics, 39(7):4444--4460, 2012.
[doi:10.1118/1.4722749] |
