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ORCID4th Patch-MI@MICCAI 2018: Granada, Spain
- Wenjia Bai, Gerard Sanroma, Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Pierrick Coupé:
Patch-Based Techniques in Medical Imaging - 4th International Workshop, Patch-MI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings. Lecture Notes in Computer Science 11075, Springer 2018, ISBN 978-3-030-00499-6
Image Denoising
- Michael Green, Edith M. Marom, Eli Konen, Nahum Kiryati
, Arnaldo Mayer:
Learning Real Noise for Ultra-Low Dose Lung CT Denoising. 3-11 - José V. Manjón, Pierrick Coupé:
MRI Denoising Using Deep Learning. 12-19 - Lee B. Reid, Ashley Gillman, Alex M. Pagnozzi, José V. Manjón, Jurgen Fripp:
MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching. 20-27 - Emmanuel Moebel, Charles Kervrann:
A Monte Carlo Framework for Denoising and Missing Wedge Reconstruction in Cryo-electron Tomography. 28-35
Image Registration and Matching
- Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenolé Quellec, Vincent Noblet, Fabrice Heitz:
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. 39-47 - Min-Gyu Park, Ju Hong Yoon, Youngbae Hwang:
Stereo Matching for Wireless Capsule Endoscopy Using Direct Attenuation Model. 48-56
Image Classification and Detection
- Fan Zhang, Junlin Yang, Nariman Nezami, Fabian Laage-gaupp, Julius Chapiro, Ming De Lin, James S. Duncan:
Liver Tissue Classification Using an Auto-context-based Deep Neural Network with a Multi-phase Training Framework. 59-66 - Dário Augusto Borges Oliveira, Matheus Palhares Viana:
Using 1D Patch-Based Signatures for Efficient Cascaded Classification of Lung Nodules. 67-75 - Roxane Licandro, Johannes Hofmanninger, Marc-André Weber, Björn H. Menze, Georg Langs:
Predicting Future Bone Infiltration Patterns in Multiple Myeloma. 76-84 - Jiaxing Tan, Yumei Huo, Zhengrong Liang, Lihong Li:
A Fast Automatic Juxta-pleural Lung Nodule Detection Framework Using Convolutional Neural Networks and Vote Algorithm. 85-92
Brain Image Analysis
- Pierrick Coupé, Thomas Tourdias, Pierre Linck, José E. Romero, José V. Manjón:
LesionBrain: An Online Tool for White Matter Lesion Segmentation. 95-103 - Sandra González-Villà, Yuankai Huo, Arnau Oliver, Xavier Lladó, Bennett A. Landman:
Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis. 104-113 - Léonie Borne, Jean-François Mangin, Denis Rivière:
A Patch-Based Segmentation Approach with High Level Representation of the Data for Cortical Sulci Recognition. 114-121 - Egor Krivov, Valery Kostjuchenko, Alexandra Dalechina, Boris Shirokikh, Gleb Makarchuk, Alexander Denisenko, Andrey Golanov, Mikhail Belyaev:
Tumor Delineation for Brain Radiosurgery by a ConvNet and Non-uniform Patch Generation. 122-129
Retinal Image Analysis
- Carles Ventura, Jordi Pont-Tuset, Sergi Caelles, Kevis-Kokitsi Maninis, Luc Van Gool:
Iterative Deep Retinal Topology Extraction. 133-143
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