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ORCIDMCV/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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