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3rd 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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