MCV/BAMBI@MICCAI

Keyphrases

Publications

volume 10081, 2017

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging - MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers MCV/BAMBI@MICCAI 10081 (2017)

2016

Giorgos Sfikas, Christophoros Nikou
Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data. MCV/BAMBI@MICCAI (2016)
Akshay Pai, Stefan Sommer, Lars Lau Rakêt, Line Kühnel, Sune Darkner, Lauge Sørensen, Mads Nielsen
A Statistical Model for Simultaneous Template Estimation, Bias Correction, and Registration of 3D Brain Images. MCV/BAMBI@MICCAI (2016)
Ender Konukoglu, Ben Glocker
Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases. MCV/BAMBI@MICCAI (2016)
Peifei Zhu, Zisheng Li
Guideline-Based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound. MCV/BAMBI@MICCAI (2016)
Vincent Beliveau, Georgios Papoutsakis, Jesper Løve Hinrich, Morten Mørup
Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data. MCV/BAMBI@MICCAI (2016)
Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Raúl San José Estépar, Michael H. Cho, William M. Wells III
Inferring Disease Status by Non-parametric Probabilistic Embedding. MCV/BAMBI@MICCAI (2016)
Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. MCV/BAMBI@MICCAI (2016)
Yashin Dicente Cid, Henning Müller, Alexandra Platon, Jean-Paul Janssens, Frédéric Lador, Pierre-Alexandre Poletti, Adrien Depeursinge
A Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images. MCV/BAMBI@MICCAI (2016)
Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia
Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. MCV/BAMBI@MICCAI (2016)
Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. MCV/BAMBI@MICCAI (2016)
Marc Fournier, Lindsay B. Lewis, Alan C. Evans
BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases. MCV/BAMBI@MICCAI (2016)
Gijs van Tulder, Marleen de Bruijne
Representation Learning for Cross-Modality Classification. MCV/BAMBI@MICCAI (2016)
Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke, R. Graham Barr, Andrew F. Laine
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study. MCV/BAMBI@MICCAI (2016)
Nitin Agarwal, Xiangmin Xu, Meenakshisundaram Gopi
Automatic Detection of Histological Artifacts in Mouse Brain Slice Images. MCV/BAMBI@MICCAI (2016)
Janine Thoma, Firat Özdemir, Orcun Goksel
Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker. MCV/BAMBI@MICCAI (2016)
Saurabh Jain, Annemie Ribbens, Diana Maria Sima, Sabine Van Huffel, Frederik Maes, Dirk Smeets
Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. MCV/BAMBI@MICCAI (2016)
Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante
Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields. MCV/BAMBI@MICCAI (2016)
Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen
LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images. MCV/BAMBI@MICCAI (2016)
Bartlomiej W. Papiez, Adam Szmul, Vicente Grau, J. Michael Brady, Julia A. Schnabel
Non-local Graph-Based Regularization for Deformable Image Registration. MCV/BAMBI@MICCAI (2016)