Front Matter ....Pages I-XI
Front Matter ....Pages 1-1
4D Multi-atlas Label Fusion Using Longitudinal Images (Yuankai Huo, Susan M. Resnick, Bennett A. Landman)....Pages 3-11
Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks (Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He et al.)....Pages 12-19
Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients (Aaron Carass, Muhan Shao, Xiang Li, Blake E. Dewey, Ari M. Blitz, Snehashis Roy et al.)....Pages 20-28
Hippocampus Subfield Segmentation Using a Patch-Based Boosted Ensemble of Autocontext Neural Networks (José V. Manjón, Pierrick Coupe)....Pages 29-36
On the Role of Patch Spaces in Patch-Based Label Fusion (Oualid M. Benkarim, Gemma Piella, Miguel Angel González Ballester, Gerard Sanroma)....Pages 37-44
Front Matter ....Pages 45-45
Learning a Sparse Database for Patch-Based Medical Image Segmentation (Moti Freiman, Hannes Nickisch, Holger Schmitt, Pal Maurovich-Horvat, Patrick Donnelly, Mani Vembar et al.)....Pages 47-54
Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural Network (Qian Wang, Shaoyu Wang, Xiaofeng Zhu, Tianyi Liu, Zachary Humphrey, Vladimir Ghukasyan et al.)....Pages 55-62
Front Matter ....Pages 63-63
Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive Impairment (Lichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang, Pew-Thian Yap, Dinggang Shen)....Pages 65-73
Early Prediction of Alzheimer’s Disease with Non-local Patch-Based Longitudinal Descriptors (Gerard Sanroma, Víctor Andrea, Oualid M. Benkarim, José V. Manjón, Pierrick Coupé, Oscar Camara et al.)....Pages 74-81
Adaptive Fusion of Texture-Based Grading: Application to Alzheimer’s Disease Detection (Kilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé, the Alzheimer’s Disease Neuroimaging Initiative)....Pages 82-89
Front Matter ....Pages 91-91
Micro-CT Guided 3D Reconstruction of Histological Images (Kai Nagara, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Takayasu Moriya, Masahiro Oda et al.)....Pages 93-101
A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) Denoising (Michael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer)....Pages 102-110
A Dictionary Learning-Based Fast Imaging Method for Ultrasound Elastography (Manyou Ma, Robert Rohling, Lutz Lampe)....Pages 111-118
Front Matter ....Pages 119-119
Breast Tumor Detection in Ultrasound Images Using Deep Learning (Zhantao Cao, Lixin Duan, Guowu Yang, Ting Yue, Qin Chen, Huazhu Fu et al.)....Pages 121-128
Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN (Maayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan)....Pages 129-137
Multiple Sclerosis Lesion Segmentation Using Joint Label Fusion (Mengjin Dong, Ipek Oguz, Nagesh Subbana, Peter Calabresi, Russell T. Shinohara, Paul Yushkevich)....Pages 138-145
Front Matter ....Pages 147-147
Deep Multimodal Case–Based Retrieval for Large Histopathology Datasets (Oscar Jimenez-del-Toro, Sebastian Otálora, Manfredo Atzori, Henning Müller)....Pages 149-157
Sparse Representation Using Block Decomposition for Characterization of Imaging Patterns (Keni Zheng, Sokratis Makrogiannis)....Pages 158-166
Back Matter ....Pages 167-168