Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling (original) (raw)

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IEEE Transactions on Medical Imaging, 2021

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Neural Parameters Estimation for Brain Tumor Growth Modeling

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A DCE-MRI Driven 3-D Reaction-Diffusion Model of Solid Tumor Growth

Thais Roque

IEEE transactions on medical imaging, 2018

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Real-time Bayesian personalization via a learnable brain tumor growth model

Jana Lipkova

ArXiv, 2020

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Macroscopic Cerebral Tumor Growth Modeling From Medical Images: A Review

Yousry AbdulAzeem

IEEE Access, 2018

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Initial Condition Assessment for Reaction-Diffusion Glioma Growth Models: A Translational MRI-Histology (In)Validation Study

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Mathematics and Computers in Simulation, 2009

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Learning the Cell-Graphs: Macroscopic Modeling of Brain Tumors

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Learning a Classification-based Glioma Growth Model Using MRI Data

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Journal of Computers, 2006

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In vivo mathematical modeling of tumor growth from imaging data: Soon to come in the future?

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Diagnostic and Interventional Imaging, 2013

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Bayesian Inference of Tissue Heterogeneity for Individualized Prediction of Glioma Growth

Baoshan Liang

Cornell University - arXiv, 2022

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Personalized Radiotherapy Design for Glioblastoma: Integrating Mathematical Tumor Models, Multimodal Scans and Bayesian Inference

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IEEE Transactions on Medical Imaging

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Towards an identification of tumor growth parameters from time series of images

Maxime Sermesant

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention, 2007

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Multiscale Modeling for Image Analysis of Brain Tumor Studies

G. Stamatakos

IEEE Transactions on Biomedical Engineering, 2000

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Integration of machine learning and mechanistic models accurately predicts variation in cell density of glioblastoma using multiparametric MRI

Yanzhe Xu

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Graphical and mathematical modeling of tumor shape

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Personalized Radiotherapy Design for Glioblastoma Using Mathematical Models, Multimodal Scans and Bayesian Inference

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arXiv (Cornell University), 2018

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Computational modeling of brain tumors: discrete, continuum or hybrid?

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Lecture Notes in Computational Science and Engineering, 2008

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Mathematical modeling of brain glioma growth using modified reaction–diffusion equation on brain MR images

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Computers in Biology and Medicine, 2013

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Toward Predictive Multiscale Modeling of Vascular Tumor Growth

danial faghihi

Archives of Computational Methods in Engineering, 2015

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Visualization and modeling of cancer progression

Maria Papadogiorgaki

2013 IEEE International Conference on Imaging Systems and Techniques (IST), 2013

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Glioma Diusion Model using MRI Data

Russell Greiner

2000

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Biocomputing: numerical simulation of glioblastoma growth using diffusion tensor imaging

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Physics in Medicine and Biology, 2008

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Glioma Dynamics and Computational Models: A Review of Segmentation, Registration, and In Silico Growth Algorithms and their Clinical Applications

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Current Medical Imaging Reviews, 2007

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Modeling Clinical Tumors to Create Reference Data for Tumor Volume Measurement

Alden Dima

2010

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Personalized Tumor Growth Prediction with Multiscale Tumor Modeling

Kemal Turhan

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Evaluation framework for the multilevel macroscopic models of solid tumor growth in the glioma case

I. Karatzanis, Kostas Marias

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010

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