Marcel Prastawa

发表

Ensemble Network for Region Identification in Breast Histopathology Slides

Bahram Marami, Marcel Prastawa, Monica Chan, 2018, ICIAR.

Brain Tumor Cell Density Estimation from Multi-modal MR Images Based on a Synthetic Tumor Growth Model

Nicholas Ayache, Ezequiel Geremia, Antonio Criminisi, 2012, MCV.

Image Registration Driven by Combined Probabilistic and Geometric Descriptors

John H. Gilmore, Guido Gerig, Cláudio T. Silva, 2010, MICCAI.

Quantifying regional growth patterns through longitudinal analysis of distances between multimodal MR intensity distributions

Guido Gerig, Marcel Prastawa, Sylvain Gouttard, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Evaluation of Brain MRI Alignment with the Robust Hausdorff Distance Measures

Guido Gerig, Ron Kikinis, Simon K. Warfield, 2008, ISVC.

BACH: Grand Challenge on Breast Cancer Histology Images

Catarina Eloy, Jin Tae Kwak, Maximilian Baust, 2018, Medical Image Anal..

A brain tumor segmentation framework based on outlier detection

Guido Gerig, Marcel Prastawa, Elizabeth Bullitt, 2004, Medical Image Anal..

Geodesic Shape Regression in the Framework of Currents

Guido Gerig, Stanley Durrleman, Marcel Prastawa, 2013, IPMI.

Proceedings of the MICCAI Challenge on Multimodal Brain Tumor Image Segmentation (BRATS) 2012

Bjoern H. Menze, Bjoern H Menze, Marcel Prastawa, 2012 .

Optimal Data-Driven Sparse Parameterization of Diffeomorphisms for Population Analysis

Guido Gerig, Sarang C. Joshi, Marcel Prastawa, 2011, IPMI.

Geodesic regression of image and shape data for improved modeling of 4D trajectories

Guido Gerig, Stanley Durrleman, Marcel Prastawa, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Topology Preserving Atlas Construction from Shape Data without Correspondence Using Sparse Parameters

Guido Gerig, Alain Trouvé, Stanley Durrleman, 2012, MICCAI.

A patient-specific segmentation framework for longitudinal MR images of traumatic brain injury

Guido Gerig, John D. Van Horn, Marcel Prastawa, 2012, Medical Imaging.

Regional characterization of longitudinal DT-MRI to study white matter maturation of the early developing brain

John H. Gilmore, Guido Gerig, P. Thomas Fletcher, 2013, NeuroImage.

Geodesic shape regression with multiple geometries and sparse parameters

Guido Gerig, Stanley Durrleman, Marcel Prastawa, 2017, Medical Image Anal..

Data-Driven Rank Aggregation with Application to Grand Challenges

Guido Gerig, Stephen R. Aylward, Marcel Prastawa, 2017, MICCAI.

Building spatiotemporal anatomical models using joint 4-D segmentation, registration, and subject-specific atlas estimation

Guido Gerig, Suyash P. Awate, Marcel Prastawa, 2012, 2012 IEEE Workshop on Mathematical Methods in Biomedical Image Analysis.

Geodesic Image Regression with a Sparse Parameterization of Diffeomorphisms

Guido Gerig, Stanley Durrleman, Marcel Prastawa, 2013, GSI.

Automatic segmentation of MR images of the developing newborn brain

John H. Gilmore, Guido Gerig, Weili Lin, 2005, Medical Image Anal..

Automatic tissue segmentation of neonate brain MR Images with subject-specific atlases

Martin Styner, Guido Gerig, Kevin Lee, 2015, Medical Imaging.

Effects of Healthy Aging Measured By Intracranial Compartment Volumes Using a Designed MR Brain Database

Guido Gerig, Donglin Zeng, Marcel Prastawa, 2005, MICCAI.

Robust Estimation for Brain Tumor Segmentation

Guido Gerig, Marcel Prastawa, Elizabeth Bullitt, 2003, MICCAI.

Towards analysis of growth trajectory through multimodal longitudinal MR imaging

John H. Gilmore, Guido Gerig, Weili Lin, 2010, Medical Imaging.

Analyzing imaging biomarkers for traumatic brain injury using 4d modeling of longitudinal MRI

Guido Gerig, John D. Van Horn, Marcel Prastawa, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Statistical growth modeling of longitudinal DT-MRI for regional characterization of early brain development

John H. Gilmore, Guido Gerig, P. Thomas Fletcher, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs

John H. Gilmore, Guido Gerig, Cláudio T. Silva, 2011, Int. J. Biomed. Imaging.

Characterizing growth patterns in longitudinal MRI using image contrast

Guido Gerig, Marcel Prastawa, Joseph Piven, 2014, Medical Imaging.

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge pdf

et al., Mahbubul Alam, Antonio Albiol, 2018, ArXiv.

Joint Longitudinal Modeling of Brain Appearance in Multimodal MRI for the Characterization of Early Brain Developmental Processes

Guido Gerig, Marcel Prastawa, Joseph Piven, 2014, STIA.

Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI

John H. Gilmore, Guido Gerig, Weili Lin, 2003, MICCAI.

Modeling 4D pathological changes by leveraging normative models

Avishek Saha, Guido Gerig, Wei Liu, 2016, Comput. Vis. Image Underst..

Synthetic Ground Truth for Validation of Brain Tumor MRI Segmentation

Guido Gerig, Marcel Prastawa, Elizabeth Bullitt, 2005, MICCAI.

Modeling longitudinal MRI changes in populations using a localized, information-theoretic measure of contrast

Guido Gerig, Marcel Prastawa, Joseph Piven, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

Analysis of Longitudinal Shape Variability via Subject Specific Growth Modeling

Guido Gerig, Stanley Durrleman, Marcel Prastawa, 2012, MICCAI.

Constrained Data Decomposition and Regression for Analyzing Healthy Aging from Fiber Tract Diffusion Properties

Guido Gerig, Weili Lin, Marcel Prastawa, 2009, MICCAI.

A joint framework for 4D segmentation and estimation of smooth temporal appearance changes

Martin Styner, Guido Gerig, Yang Gao, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

Morphometry of anatomical shape complexes with dense deformations and sparse parameters

Guido Gerig, Alain Trouvé, Stanley Durrleman, 2014, NeuroImage.

Multimodal Brain Image Analysis

Avishek Saha, Guido Gerig, Valerio Pascucci, 2011, Lecture Notes in Computer Science.

Multi-modal image set registration and atlas formation

Peter Lorenzen, Guido Gerig, Sarang C. Joshi, 2006, Medical Image Anal..

Automatic Segmentation of Neonatal Brain MRI

John H. Gilmore, Guido Gerig, Weili Lin, 2004, MICCAI.

Simulation of brain tumors in MR images for evaluation of segmentation efficacy

Guido Gerig, Marcel Prastawa, Elizabeth Bullitt, 2009, Medical Image Anal..

Subject-Specific Prediction Using Nonlinear Population Modeling: Application to Early Brain Maturation from DTI

John H. Gilmore, Guido Gerig, P. Thomas Fletcher, 2014, MICCAI.

Deformetrica: a software for statistical analysis of anatomical shapes

Stanley Durrleman, Marcel Prastawa, Benjamin Charlier, 2015 .

Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy

Marcel Prastawa, Gerardo Fernandez, Jack Zeineh, 2019, Laboratory Investigation.

Multivariate modeling of longitudinal MRI in early brain development with confidence measures

John H. Gilmore, Guido Gerig, P. Thomas Fletcher, 2013, 2013 IEEE 10th International Symposium on Biomedical Imaging.

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

Brian B. Avants, D. Louis Collins, Hervé Delingette, 2015, IEEE Transactions on Medical Imaging.

Modeling 4D Changes in Pathological Anatomy Using Domain Adaptation: Analysis of TBI Imaging Using a Tumor Database

Avishek Saha, Guido Gerig, Valerio Pascucci, 2013, MBIA.

Segmentation of serial MRI of TBI patients using personalized atlas construction and topological change estimation

Guido Gerig, Suyash P. Awate, John D. Van Horn, 2012, 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI).

Brain Lesion Segmentation through Physical Model Estimation

Guido Gerig, Marcel Prastawa, G. Gerig, 2008, ISVC.

4D active cut: An interactive tool for pathological anatomy modeling

Guido Gerig, P. Thomas Fletcher, John D. Van Horn, 2014, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI).

A new framework for analyzing white matter maturation in early brain development

John H. Gilmore, Guido Gerig, Weili Lin, 2010, 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Automatic brain tumor segmentation by subject specific modification of atlas priors.

Guido Gerig, Marcel Prastawa, Elizabeth Bullitt, 2003, Academic radiology.

Assessment of Reliability of Multi-site Neuroimaging Via Traveling Phantom Study

Martin Styner, Guido Gerig, Marcel Prastawa, 2008, MICCAI.

Comparison of compressed sensing diffusion spectrum imaging and diffusion tensor imaging in patients with intracranial masses.

Luca Marinelli, Kyung K Peck, Andrei I Holodny, 2017, Magnetic resonance imaging.

Dark regions of no-reflow on late gadolinium enhancement magnetic resonance imaging result in scar formation after atrial fibrillation ablation.

Nassir Marrouche, Joshua J. E. Blauer, Marcel Prastawa, 2011, Journal of the American College of Cardiology.