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ORCID3rd Patch-MI@MICCAI 2017: Quebec City, QC, Canada
- Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Wenjia Bai, Gerard Sanroma, Pierrick Coupé:
Patch-Based Techniques in Medical Imaging - Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings. Lecture Notes in Computer Science 10530, Springer 2017, ISBN 978-3-319-67433-9
Multi-atlas Segmentation
- Yuankai Huo, Susan M. Resnick, Bennett A. Landman:
4D Multi-atlas Label Fusion Using Longitudinal Images. 3-11 - Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He
, Dinggang Shen:
Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks. 12-19 - Aaron Carass, Muhan Shao, Xiang Li, Blake Dewey, Ari Blitz, Snehashis Roy, Dzung L. Pham, Jerry L. Prince, Lotta Maria Ellingsen:
Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients. 20-28 - José V. Manjón, Pierrick Coupé:
Hippocampus Subfield Segmentation Using a Patch-Based Boosted Ensemble of Autocontext Neural Networks. 29-36 - Oualid M. Benkarim, Gemma Piella, Miguel Ángel González Ballester, Gerard Sanroma:
On the Role of Patch Spaces in Patch-Based Label Fusion. 37-44
Segmentation
- Moti Freiman, Hannes Nickisch, Holger Schmitt, Pál Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen:
Learning a Sparse Database for Patch-Based Medical Image Segmentation. 47-54 - Qian Wang, Shaoyu Wang, Xiaofeng Zhu, Tianyi Liu, Zachary Humphrey, Vladimir Ghukasyan, Mike Conway, Erik Scott, Giulia Fragola, Kira Bradford, Mark J. Zylka, Ashok K. Krishnamurthy, Jason L. Stein, Guorong Wu:
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network. 55-62
Alzheimer's Disease
- Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen:
Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment. 65-73 - Gerard Sanroma, Víctor Andrea, Oualid M. Benkarim, José V. Manjón, Pierrick Coupé, Oscar Camara, Gemma Piella, Miguel Ángel González Ballester:
Early Prediction of Alzheimer's Disease with Non-local Patch-Based Longitudinal Descriptors. 74-81 - Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé:
Adaptive Fusion of Texture-Based Grading: Application to Alzheimer's Disease Detection. 82-89
Reconstruction, Denoising, Super-Resolution
- Kai Nagara, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Takayasu Moriya, Masahiro Oda, Kensaku Mori:
Micro-CT Guided 3D Reconstruction of Histological Images. 93-101 - Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer:
A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising. 102-110 - Manyou Ma, Robert Rohling, Lutz Lampe:
A Dictionary Learning-Based Fast Imaging Method for Ultrasound Elastography. 111-118
Tumor, Lesion
- Zhantao Cao, Lixin Duan, Guowu Yang, Ting Yue, Qin Chen, Huazhu Fu, Yanwu Xu:
Breast Tumor Detection in Ultrasound Images Using Deep Learning. 121-128 - Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan:
Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN. 129-137 - Mengjin Dong, Ipek Oguz, Nagesh Subbana, Peter A. Calabresi, Russell T. Shinohara, Paul A. Yushkevich:
Multiple Sclerosis Lesion Segmentation Using Joint Label Fusion. 138-145
Classification, Retrieval
- Oscar Alfonso Jiménez del Toro, Sebastian Otálora, Manfredo Atzori, Henning Müller:
Deep Multimodal Case-Based Retrieval for Large Histopathology Datasets. 149-157 - Keni Zheng, Sokratis Makrogiannis:
Sparse Representation Using Block Decomposition for Characterization of Imaging Patterns. 158-166
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