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MCV/BAMBI@MICCAI 2016: Athens, Greece
- Henning Müller, B. Michael Kelm, Tal Arbel, Weidong Cai, Manual Jorge Cardoso, Georg Langs, Bjoern H. Menze, Dimitris N. Metaxas, Albert Montillo, William M. Wells III, Shaoting Zhang, Albert C. S. Chung, Mark Jenkinson, Annemie Ribbens:
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. Lecture Notes in Computer Science 10081, Springer 2017, ISBN 978-3-319-61187-7
MCV Workshop: Brain Imaging
- Ender Konukoglu, Ben Glocker:
Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases. 3-13 - Marc Fournier, Lindsay B. Lewis, Alan C. Evans:
BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases. 14-25 - 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. 26-34 - Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen:
Landmark-Based Alzheimer's Disease Diagnosis Using Longitudinal Structural MR Images. 35-45
MCV Workshop: Lung Imaging
- Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Raúl San José Estépar, Michael H. Cho, William M. Wells III:
Inferring Disease Status by Non-parametric Probabilistic Embedding. 49-57 - 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. 58-68 - 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. 69-80
MCV Workshop: Segmentation, Detection, and Classification
- Janine Thoma, Firat Özdemir, Orcun Goksel:
Automatic Segmentation of Abdominal MRI Using Selective Sampling and Random Walker. 83-93 - Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth C. Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci:
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. 94-104 - Nitin Agarwal, Xiangmin Xu, Meenakshisundaram Gopi:
Automatic Detection of Histological Artifacts in Mouse Brain Slice Images. 105-115 - Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia:
Lung Nodule Classification by Jointly Using Visual Descriptors and Deep Features. 116-125 - Gijs van Tulder, Marleen de Bruijne:
Representation Learning for Cross-Modality Classification. 126-136 - Peifei Zhu, Zisheng Li:
Guideline-Based Machine Learning for Standard Plane Extraction in 3D Cardiac Ultrasound. 137-147
BAMBI Workshop
- 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. 151-159 - Giorgos Sfikas, Christophoros Nikou:
Bayesian Multiview Manifold Learning Applied to Hippocampus Shape and Clinical Score Data. 160-171 - Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante:
Rigid Slice-To-Volume Medical Image Registration Through Markov Random Fields. 172-185 - Vincent Beliveau, Georgios Papoutsakis, Jesper Løve Hinrich, Morten Mørup:
Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data. 186-198 - Bartlomiej W. Papiez, Adam Szmul, Vicente Grau, J. Michael Brady, Julia A. Schnabel:
Non-local Graph-Based Regularization for Deformable Image Registration. 199-207 - Saurabh Jain, Annemie Ribbens, Diana Maria Sima, Sabine Van Huffel, Frederik Maes, Dirk Smeets:
Unsupervised Framework for Consistent Longitudinal MS Lesion Segmentation. 208-219
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