Abstract is missing.
- 4D Multi-atlas Label Fusion Using Longitudinal ImagesYuankai Huo, Susan M. Resnick, Bennett A. Landman. 3-11 [doi]
- Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional NetworksLongwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He, Dinggang Shen. 12-19 [doi]
- Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly PatientsAaron Carass, Muhan Shao, Xiang Li, Blake Dewey, Ari Blitz, Snehashis Roy, Dzung L. Pham, Jerry L. Prince, Lotta Maria Ellingsen. 20-28 [doi]
- Hippocampus Subfield Segmentation Using a Patch-Based Boosted Ensemble of Autocontext Neural NetworksJosé V. Manjón, Pierrick Coupé. 29-36 [doi]
- On the Role of Patch Spaces in Patch-Based Label FusionOualid M. Benkarim, Gemma Piella, Miguel Ángel González Ballester, Gerard Sanroma. 37-44 [doi]
- Learning a Sparse Database for Patch-Based Medical Image SegmentationMoti Freiman, Hannes Nickisch, Holger Schmitt, Pal Maurovich-Horvat, Patrick Donnelly, Mani Vembar, Liran Goshen. 47-54 [doi]
- Accurate and High Throughput Cell Segmentation Method for Mouse Brain Nuclei Using Cascaded Convolutional Neural NetworkQian Wang, Shaoyu Wang, Xiaofeng Zhu, Tianyi Liu, Zachary Humphrey, Vladimir Ghukasyan, Mike Conway, Erik Scott, Giulia Fragola, Kira Bradford, Mark J. Zylka, Ashok Krishnamurthy, Jason L. Stein, Guorong Wu. 55-62 [doi]
- Learning-Based Estimation of Functional Correlation Tensors in White Matter for Early Diagnosis of Mild Cognitive ImpairmentLichi Zhang, Han Zhang, Xiaobo Chen, Qian Wang 0001, Pew-Thian Yap, Dinggang Shen. 65-73 [doi]
- Early Prediction of Alzheimer's Disease with Non-local Patch-Based Longitudinal DescriptorsGerard Sanroma, Víctor Andrea, Oualid M. Benkarim, José V. Manjón, Pierrick Coupé, Oscar Camara, Gemma Piella, Miguel Ángel González Ballester. 74-81 [doi]
- Adaptive Fusion of Texture-Based Grading: Application to Alzheimer's Disease DetectionKilian Hett, Vinh-Thong Ta, José V. Manjón, Pierrick Coupé. 82-89 [doi]
- Micro-CT Guided 3D Reconstruction of Histological ImagesKai Nagara, Holger R. Roth, Shota Nakamura, Hirohisa Oda, Takayasu Moriya, Masahiro Oda, Kensaku Mori. 93-101 [doi]
- A Neural Regression Framework for Low-Dose Coronary CT Angiography (CCTA) DenoisingMichael Green, Edith M. Marom, Nahum Kiryati, Eli Konen, Arnaldo Mayer. 102-110 [doi]
- A Dictionary Learning-Based Fast Imaging Method for Ultrasound ElastographyManyou Ma, Robert Rohling, Lutz Lampe. 111-118 [doi]
- Breast Tumor Detection in Ultrasound Images Using Deep LearningZhantao Cao, Lixin Duan, Guowu Yang, Ting Yue, Qin Chen, Huazhu Fu, Yanwu Xu. 121-128 [doi]
- Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNNMaayan Frid-Adar, Idit Diamant, Eyal Klang, Michal Amitai, Jacob Goldberger, Hayit Greenspan. 129-137 [doi]
- Multiple Sclerosis Lesion Segmentation Using Joint Label FusionMengjin Dong, Ipek Oguz, Nagesh Subbana, Peter Calabresi, Russell T. Shinohara, Paul Yushkevich. 138-145 [doi]
- Deep Multimodal Case-Based Retrieval for Large Histopathology DatasetsOscar Alfonso Jiménez del Toro, Sebastian Otálora, Manfredo Atzori, Henning Müller. 149-157 [doi]
- Sparse Representation Using Block Decomposition for Characterization of Imaging PatternsKeni Zheng, Sokratis Makrogiannis. 158-166 [doi]