Andreas Mang - RankMe

60 papers A 3B 1Journal 37Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Tensorial Reduced-Order Models for Parametric Coupled Reaction-Diffusion Systems: Application to Brain Tumor Growth Modeling. CoRR Asikul Islam, Md Rezwan Bin Mizan, Maxim A. Olshanskii, Andreas Mang
2025	J	`jnl`	A Unified Framework for Lifted Training and Inversion Approaches. CoRR Xiaoyu Wang, Alexandra Valavanis, Azhir Mahmood, Andreas Mang, Martin Benning, Audrey Repetti
2025	J	`jnl`	Fast k-means clustering in Riemannian manifolds via Fréchet maps: Applications to large-dimensional SPD matrices. CoRR Ji Shi, Nicolas Charon, Andreas Mang, Demetrio Labate, Robert Azencott
2025	J	`jnl`	Neural Networks for Bayesian Inverse Problems Governed by a Nonlinear ODE. CoRR German Villalobos, Johann Rudi, Andreas Mang
2025	J	`jnl`	VPREG: An Optimal Control Formulation for Diffeomorphic Image Registration Based on the Variational Principle Grid Generation Method. CoRR Zicong Zhou, Baihan Zhao, Andreas Mang, Guojun Liao
2024	J	`jnl`	CLAIRE: Scalable GPU-Accelerated Algorithms for Diffeomorphic Image Registration in 3D. CoRR Andreas Mang
2024	J	`jnl`	Classification of Deformable Smooth Shapes Through Geodesic Flows of Diffeomorphisms. J. Math. Imaging Vis. Hossein Dabirian, Radmir Sultamuratov, James Herring, K. Carlos El-Tallawi, William A. Zoghbi, Andreas Mang, Robert Azencott
2023	J	`jnl`	An Operator-Splitting Approach for Variational Optimal Control Formulations for Diffeomorphic Shape Matching. CoRR Andreas Mang, Jiwen He, Robert Azencott
2023	J	`jnl`	An operator-splitting approach for variational optimal control formulations for diffeomorphic shape matching. J. Comput. Phys. Andreas Mang, Jiwen He, Robert Azencott
2023	J	`jnl`	Inverse Biophysical Modeling and Machine Learning in Personalized Oncology (Dagstuhl Seminar 23022). Dagstuhl Reports George Biros, Andreas Mang, Björn H. Menze, Miriam Schulte
2022	J	`jnl`	Automatic classification of deformable shapes. CoRR Hossein Dabirian, Radmir Sultamuratov, James Herring, K. Carlos El-Tallawi, William A. Zoghbi, Andreas Mang, Robert Azencott
2022	J	`jnl`	CLAIRE - Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications. CoRR Naveen Himthani, Malte Brunn, Jae-Youn Kim, Miriam Schulte, Andreas Mang, George Biros
2022	J	`jnl`	CLAIRE - Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications. J. Imaging Naveen Himthani, Malte Brunn, Jae-Youn Kim, Miriam Schulte, Andreas Mang, George Biros
2021	J	`jnl`	CLAIRE: Constrained Large Deformation Diffeomorphic Image Registration on Parallel Computing Architectures. J. Open Source Softw. Malte Brunn, Naveen Himthani, George Biros, Miriam Mehl, Andreas Mang
2021	J	`jnl`	Diffeomorphic Shape Matching by Operator Splitting in 3D Cardiology Imaging. J. Optim. Theory Appl. Peng Zhang, Andreas Mang, Jiwen He, Robert Azencott, K. Carlos El-Tallawi, William A. Zoghbi
2021	J	`jnl`	Fast GPU 3D diffeomorphic image registration. J. Parallel Distributed Comput. Malte Brunn, Naveen Himthani, George Biros, Miriam Mehl, Andreas Mang
2021	J	`jnl`	Stochastic Neural Networks for Automatic Cell Tracking in Microscopy Image Sequences of Bacterial Colonies. CoRR Sorena Sarmadi, James J. Winkle, Razan N. Alnahhas, Matthew R. Bennett, Kresimir Josic, Andreas Mang, Robert Azencott
2020	—	`conf`	Estimating Glioblastoma Biophysical Growth Parameters Using Deep Learning Regression. BrainLes@MICCAI (1) Sarthak Pati, Vaibhav Sharma, Heena Aslam, Siddhesh P. Thakur, Hamed Akbari, Andreas Mang, Shashank Subramanian, George Biros, Christos Davatzikos, Spyridon Bakas
2020	J	`jnl`	Fast GPU 3D Diffeomorphic Image Registration. CoRR Malte Brunn, Naveen Himthani, George Biros, Miriam Mehl, Andreas Mang
2020	J	`jnl`	Image-Driven Biophysical Tumor Growth Model Calibration. SIAM J. Sci. Comput. Klaudius Scheufele, Shashank Subramanian, Andreas Mang, George Biros, Miriam Mehl
2020	J	`jnl`	Multi-Node Multi-GPU Diffeomorphic Image Registration for Large-Scale Imaging Problems. CoRR Malte Brunn, Naveen Himthani, George Biros, Miriam Mehl, Andreas Mang
2020	A	`conf`	Multi-node multi-GPU diffeomorphic image registration for large-scale imaging problems. SC Malte Brunn, Naveen Himthani, George Biros, Miriam Mehl, Andreas Mang
2019	J	`jnl`	CLAIRE: A Distributed-Memory Solver for Constrained Large Deformation Diffeomorphic Image Registration. SIAM J. Sci. Comput. Andreas Mang, Amir Gholami, Christos Davatzikos, George Biros
2018	J	`jnl`	CLAIRE: A distributed-memory solver for constrained large deformation diffeomorphic image registration. CoRR Andreas Mang, Amir Gholami, Christos Davatzikos, George Biros
2018	J	`jnl`	PDE-constrained optimization in medical image analysis. CoRR Andreas Mang, Amir Gholami, Christos Davatzikos, George Biros
2017	J	`jnl`	A Lagrangian Gauss-Newton-Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration. CoRR Andreas Mang, Lars Ruthotto
2017	J	`jnl`	A Lagrangian Gauss-Newton-Krylov Solver for Mass- and Intensity-Preserving Diffeomorphic Image Registration. SIAM J. Sci. Comput. Andreas Mang, Lars Ruthotto
2017	J	`jnl`	A Semi-Lagrangian Two-Level Preconditioned Newton-Krylov Solver for Constrained Diffeomorphic Image Registration. SIAM J. Sci. Comput. Andreas Mang, George Biros
2017	A	`conf`	A framework for scalable biophysics-based image analysis. SC Amir Gholami, Andreas Mang, Klaudius Scheufele, Christos Davatzikos, Miriam Mehl, George Biros
2016	J	`jnl`	A Semi-Lagrangian two-level preconditioned Newton-Krylov solver for constrained diffeomorphic image registration. CoRR Andreas Mang, George Biros
2016	J	`jnl`	Constrained H SIAM J. Imaging Sci. Andreas Mang, George Biros
2016	A	`conf`	Distributed-memory large deformation diffeomorphic 3D image registration. SC Andreas Mang, Amir Gholami, George Biros
2016	J	`jnl`	Distributed-memory large deformation diffeomorphic 3D image registration. CoRR Andreas Mang, Amir Gholami, George Biros
2015	J	`jnl`	An Inexact Newton-Krylov Algorithm for Constrained Diffeomorphic Image Registration. SIAM J. Imaging Sci. Andreas Mang, George Biros
2015	J	`jnl`	Controlling the deformation map in diffeomorphic image registration. CoRR Andreas Mang, George Biros
2014	J	`jnl`	An inexact Newton-Krylov algorithm for constrained diffeomorphic image registration. CoRR Andreas Mang, George Biros
2014	J	`jnl`	Identification of Crucial Parameters in a Mathematical Multiscale Model of Glioblastoma Growth. Comput. Math. Methods Medicine Tina Anne Schütz, Andreas Mang, Stefan Becker, Alina Toma, Thorsten M. Buzug
2013	—	`conf`	Personalisierte Modellierung der Progression primärer Hirntumoren als Optimierungsproblem mit Differentialgleichungsnebenbedingung. Bildverarbeitung für die Medizin Andreas Mang, Jenny Stritzel, Alina Toma, Stefan Becker, Tina A. Schütz, Thorsten M. Buzug
2012	J	`jnl`	A Novel Method for Simulating the Extracellular Matrix in Models of Tumour Growth. Comput. Math. Methods Medicine Alina Toma, Andreas Mang, Tina A. Schütz, Stefan Becker, Thorsten M. Buzug
2012	—	`conf`	A computational multiscale model of glioblastoma growth: Regulation of cell migration and proliferation via microRNA-451, LKB1 and AMPK. EMBC Tina A. Schütz, Stefan Becker, Andreas Mang, Alina Toma, Thorsten M. Buzug
2012	—	`conf`	An efficient, variational non-parametric model of tumour induced brain deformation to aid non-diffeomorphic image registration. ISBI Andreas Mang, Tina A. Schütz, Alina Toma, Stefan Becker, Thorsten M. Buzug
2012	—	`conf`	Cyclic Numerical Time Integration in Variational Non-Rigid Image Registration based on Quadratic Regularisation. VMV Andreas Mang, Tina Anne Schütz, Stefan Becker, Alina Toma, Thorsten M. Buzug
2012	—	`conf`	Ein dämonenartiger Ansatz zur Modellierung tumorinduzierter Gewebedeformation als Prior für die nicht-rigide Bildregistrierung. Bildverarbeitung für die Medizin Andreas Mang, Tina A. Schütz, Alina Toma, Stefan Becker, Thorsten M. Buzug
2012	—	`conf`	Eine effiziente Parallel-Implementierung eines stabilen Euler-Cauchy-Verfahrens für die Modellierung von Tumorwachstum. Bildverarbeitung für die Medizin Andreas Mang, Alina Toma, Tina A. Schütz, Stefan Becker, Thorsten M. Buzug
2012	—	`conf`	In-silico Modellierung der Immunantwort auf Hirntumorwachstum. Bildverarbeitung für die Medizin Alina Toma, Anne Régnier-Vigouroux, Andreas Mang, Tina A. Schütz, Stefan Becker, Thorsten M. Buzug
2011	—	`conf`	A model of tumour induced brain deformation as bio-physical prior for non-rigid image registration. ISBI Andreas Mang, Stefan Becker, Alina Toma, Tina A. Schütz, Jan Küchler, Volker M. Tronnier, Matteo Mario Bonsanto, Thorsten M. Buzug
2011	—	`conf`	Ein diskreter Ansatz zur Modellierung von Tumorwachstum und Strahlentherapie. Bildverarbeitung für die Medizin Y. Schröder, Stefan Becker, Alina Toma, Andreas Mang, Tina A. Schütz, Thorsten M. Buzug
2011	—	`conf`	Ein kontinuierlicher Ansatz zur Modellierung von Tumorwachstum und Strahlentherapie. Bildverarbeitung für die Medizin Anna K. Heye, Stefan Becker, Andreas Mang, Tina A. Schütz, Alina Toma, Thorsten M. Buzug
2011	—	`conf`	Is it Necessary to Model the Matrix Degrading Enzymes for Simulating Tumour Growth?. VMV Alina Toma, Andreas Mang, Tina A. Schütz, Stefan Becker, Thorsten M. Buzug
2011	—	`conf`	Modellierung tumorinduzierter Gewebedeformation als Optimierungsproblem mit weicher Nebenbedingung. Bildverarbeitung für die Medizin Andreas Mang, Stefan Becker, Alina Toma, Thomas Polzin, Tina A. Schütz, Thorsten M. Buzug
2010	—	`conf`	Approximating tumor induced brain deformation using directly manipulated free form deformation. ISBI Stefan Becker, Andreas Mang, Alina Toma, Thorsten M. Buzug
2010	—	`conf`	Approximation des Tumormasseeffekts mittels direkt-manipulierender Free-Form Deformation. Bildverarbeitung für die Medizin Stefan Becker, Andreas Mang, Thorsten M. Buzug
2010	B	`conf`	Coupling tumor growth with brain deformation: a constrained parametric non-rigid registration problem. Image Processing Andreas Mang, Stefan Becker, Alina Toma, Thorsten M. Buzug
2010	J	`jnl`	In-silico oncology: an approximate model of brain tumor mass effect based on directly manipulated free form deformation. Int. J. Comput. Assist. Radiol. Surg. Stefan Becker, Andreas Mang, Alina Toma, Thorsten M. Buzug
2009	—	`conf`	In-Silico Modellierung von Tumorwachstum: Approximation des Tumormasseeffektes mittels Thin-Plate-Splines. GI Jahrestagung Stefan Becker, Andreas Mang, Jan Ole Jungmann, Thorsten M. Buzug
2009	—	`conf`	Tumor-Wachstumsmodellierung als parametrisches Bildregistrierproblem. Bildverarbeitung für die Medizin Stefan Becker, Jan Ole Jungmann, Andreas Mang, Thorsten M. Buzug
2008	J	`jnl`	Consistency of parametric registration in serial MRI studies of brain tumor progression. Int. J. Comput. Assist. Radiol. Surg. Andreas Mang, Julia A. Schnabel, William R. Crum, Marc Modat, Oscar Camara-Rey, Christoph Palm, Gisele Brasil-Caseiras, Hans Rolf Jäger, Sébastien Ourselin, Thorsten M. Buzug, David J. Hawkes
2007	—	`conf`	Registration of Rcbv and Adc Maps with Structural and Physiological Mr Images in Glioma Patients: Study and Validation. ISBI Andreas Mang, Oscar Camara, Gisele Brasil-Caseiras, William R. Crum, Julia A. Schnabel, Thorsten M. Buzug, Jeremy Rees, John S. Thornton, Hans Rolf Jäger, David J. Hawkes
2006	J	`jnl`	A Multi-Modality Computer-Aided Framework Towards Postmortem Identification. J. Comput. Inf. Technol. Andreas Mang, Jan Müller, Thorsten M. Buzug
2006	—	`conf`	Restoration of the Sphere-Cortex Homeomorphism. Bildverarbeitung für die Medizin Andreas Mang, Michael Wagner, Jan Müller, Manfred Fuchs, Thorsten M. Buzug