Manasi Datar - researchr alias

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Viewing Publication 1 - 17 from 17

2024

Improved Pectoral Muscle Segmentation in Mammograms through Regression-Based Deep Learning and Knowledge DistillationChristian Hümmer, Ramyar Biniazan, Manasi Datar, Martin Kraus, Andreas Fieselmann, Steffen Kappler. isbi 2024: 1-5 [doi]

Towards Integrating Epistemic Uncertainty Estimation into the Radiotherapy WorkflowMarvin Tom Teichmann, Manasi Datar, Lisa Kratzke, Fernando Vega, Florin C. Ghesu. miccai 2024: 729-738 [doi]

2017

Longitudinal Parameter Estimation in 3D Electromechanical Models: Application to Cardiovascular Changes in DigestionRoch Molléro, Jakob A. Hauser, Xavier Pennec, Manasi Datar, Hervé Delingette, Alexander Jones, Nicholas Ayache, Tobias Heimann, Maxime Sermesant. fimh 2017: 432-440 [doi]

Longitudinal Analysis Using Personalised 3D Cardiac Models with Population-Based Priors: Application to Paediatric CardiomyopathiesRoch Molléro, Hervé Delingette, Manasi Datar, Tobias Heimann, Jakob A. Hauser, Dilveer Panesar, Alexander Jones, Andrew Mayall Taylor, Marcus Kelm, Titus Kühne, Marcello Chinali, Gabriele Rinelli, Nicholas Ayache, Xavier Pennec, Maxime Sermesant. miccai 2017: 350-358 [doi]

SVF-Net: Learning Deformable Image Registration Using Shape MatchingMarc-Michel Rohé, Manasi Datar, Tobias Heimann, Maxime Sermesant, Xavier Pennec. miccai 2017: 266-274 [doi]

2016

Statistical Analysis of Ensembles of Nonregular ShapesManasi Datar. PhD thesis, University of Utah, USA, 2016.

GPU accelerated, robust method for voxelization of solid objectsCosmin Nita, Iulian Stroia, Lucian Mihai Itu, Constantin Suciu, Viorel Mihalef, Manasi Datar, Saikiran Rapaka, Puneet Sharma. hpec 2016: 1-5 [doi]

Entropy-based particle correspondence for shape populationsIpek Oguz, Joshua E. Cates, Manasi Datar, Beatriz Paniagua, P. Thomas Fletcher, Clement Vachet, Martin Styner, Ross T. Whitaker. cars, 11(7):1221-1232, 2016. [doi]

2015

Propagation of Myocardial Fibre Architecture Uncertainty on Electromechanical Model Parameter Estimation: A Case StudyRoch Molléro, Dominik Neumann, Marc-Michel Rohé, Manasi Datar, Hervé Lombaert, Nicholas Ayache, Dorin Comaniciu, Olivier Ecabert, Marcello Chinali, Gabriele Rinelli, Xavier Pennec, Maxime Sermesant, Tommaso Mansi. fimh 2015: 448-456 [doi]

2013

Geodesic Distances to Landmarks for Dense Correspondence on Ensembles of Complex ShapesManasi Datar, Ilwoo Lyu, Sun-hyung Kim, Joshua E. Cates, Martin Andreas Styner, Ross T. Whitaker. miccai 2013: 19-26 [doi]

2012

Mixed-Effects Shape Models for Estimating Longitudinal Changes in AnatomyManasi Datar, Prasanna Muralidharan, Abhishek Kumar, Sylvain Gouttard, Joseph Piven, Guido Gerig, Ross T. Whitaker, P. Thomas Fletcher. miccai 2012: 76-87 [doi]

2011

Geometric Correspondence for Ensembles of Nonregular ShapesManasi Datar, Yaniv Gur, Beatriz Paniagua, Martin Styner, Ross T. Whitaker. miccai 2011: 368-375 [doi]

2009

Particle Based Shape Regression of Open Surfaces with Applications to Developmental NeuroimagingManasi Datar, Joshua E. Cates, P. Thomas Fletcher, Sylvain Gouttard, Guido Gerig, Ross T. Whitaker. miccai 2009: 167-174 [doi]

2008

Color and texture based segmentation of molecular pathology images usING HSOMSManasi Datar, Dirk R. Padfield, Harvey Cline. isbi 2008: 292-295 [doi]

Deformable registration with spatially varying degrees of freedom constraintsJames V. Miller, Girish Gopalakrishnan, Manasi Datar, Paulo R. S. Mendonça, Rakesh Mullick. isbi 2008: 1163-1166 [doi]

2006

Natural Scene Segmentation Based on Information Fusion and Homogeneity PropertyHeng-Da Cheng, Manasi Datar, Wen Ju. jcis 2006: [doi]

Anatomically Guided Registration for Multimodal ImagesManasi Datar, Girish Gopalakrishnan, Sohan Ranjan, Rakesh Mullick. aipr 2006: 10 [doi]

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