Abstract is missing.
- From Large to Small Organ Segmentation in CT Using Regional ContextMarie Bieth, Esther Alberts, Markus Schwaiger, Bjoern H. Menze. 1-9 [doi]
- Motion Corruption Detection in Breast DCE-MRISylvester Chiang, Sharmila Balasingham, Lara Richmond, Belinda Curpen, Mia Skarpathiotakis, Anne L. Martel. 10-18 [doi]
- Detection and Localization of Drosophila Egg Chambers in Microscopy ImagesJiri Borovec, Jan Kybic, Rodrigo Nava. 19-26 [doi]
- Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium ScoringFelix Durlak, Michael Wels, Chris Schwemmer, Michael Sühling, Stefan Steidl, Andreas Maier. 27-35 [doi]
- Atlas of Classifiers for Brain MRI SegmentationBoris Kodner, Shiri Gordon, Jacob Goldberger, Tammy Riklin-Raviv. 36-44 [doi]
- Dictionary Learning and Sparse Coding-Based Denoising for High-Resolution Task Functional Connectivity MRI AnalysisSeongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh. 45-52 [doi]
- Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's DiseaseJorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie Odile Habert, Stanley Durrleman, Theodoros Evgeniou, Olivier Colliot. 53-60 [doi]
- Multi-factorial Age Estimation from Skeletal and Dental MRI VolumesDarko Stern, Philipp Kainz, Christian Payer, Martin Urschler. 61-69 [doi]
- Automatic Classification of Proximal Femur Fractures Based on Attention ModelsAnees Kazi, Shadi Albarqouni, Amelia Jimenez Sanchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab, Diana Mateus. 70-78 [doi]
- Joint Supervoxel Classification Forest for Weakly-Supervised Organ SegmentationFahdi Kanavati, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker. 79-87 [doi]
- Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View EnsembleYani Chen, Bibo Shi, Zhewei Wang, Tao Sun, Charles D. Smith, Jundong Liu. 88-96 [doi]
- STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT PerfusionYao Xiao, Ajay Gupta, Pina C. Sanelli, Ruogu Fang. 97-105 [doi]
- Classification of Alzheimer's Disease by Cascaded Convolutional Neural Networks Using PET ImagesDanni Cheng, Manhua Liu. 106-113 [doi]
- Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography ImagesYuru Pei, Yunai Yi, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu, Hongbin Zha. 114-122 [doi]
- Multi-scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial BaseYuru Pei, Haifang Qin, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu, Hongbin Zha. 123-131 [doi]
- Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia DiagnosisTao Zhou, Kim-Han Thung, Xiaofeng Zhu, Dinggang Shen. 132-140 [doi]
- 3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data LabelsDakai Jin, Ziyue Xu, Adam P. Harrison, Kevin George, Daniel J. Mollura. 141-149 [doi]
- Efficient Groupwise Registration for Brain MRI by Fast InitializationPei-Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen. 150-158 [doi]
- Sparse Multi-view Task-Centralized Learning for ASD DiagnosisJun Wang, Qian Wang, Shitong Wang, Dinggang Shen. 159-167 [doi]
- Inter-subject Similarity Guided Brain Network Modeling for MCI DiagnosisYu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen. 168-175 [doi]
- Scalable and Fault Tolerant Platform for Distributed Learning on Private Medical DataAlborz Amir-Khalili, Soheil Kianzad, Rafeef Abugharbieh, Ivan Beschastnikh. 176-184 [doi]
- Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic ImagesSiqi Liu, Donghao Zhang, Yang Song, Hanchuan Peng, Weidong Cai. 185-193 [doi]
- Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional ConnectivityJunyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen. 194-202 [doi]
- Gradient Boosted Trees for Corrective LearningBaris U. Oguz, Russell T. Shinohara, Paul A. Yushkevich, Ipek Oguz. 203-211 [doi]
- Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging AnalysisXiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek, Jieping Ye, James Thrall, Quanzheng Li. 212-219 [doi]
- A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point LabelingJinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen. 220-228 [doi]
- Collage CNN for Renal Cell Carcinoma Detection from CTMohammad Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh. 229-237 [doi]
- Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy ImagesZhen Yu, Xudong Jiang, Tianfu Wang, Bai Ying Lei. 238-246 [doi]
- Localizing Cardiac Structures in Fetal Heart Ultrasound VideoChristopher P. Bridge, Christos Ioannou, J. Alison Noble. 247-255 [doi]
- Deformable Registration Through Learning of Context-Specific Metric AggregationEnzo Ferrante, Puneet K. Dokania, Rafael Marini, Nikos Paragios. 256-265 [doi]
- Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade FrameworkDong Nie, Li Wang, Roger Trullo, Jianfu Li, Peng Yuan, James J. Xia, Dinggang Shen. 266-273 [doi]
- 3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR ImagesGuodong Zeng, Xin Yang, Jing Li, Lequan Yu, Pheng-Ann Heng, Guoyan Zheng. 274-282 [doi]
- Indecisive Trees for Classification and Prediction of Knee OsteoarthritisLuca Minciullo, Paul A. Bromiley, David T. Felson, Timothy F. Cootes. 283-290 [doi]
- Whole Brain Segmentation and Labeling from CT Using Synthetic MR ImagesCan Zhao, Aaron Carass, Junghoon Lee, Yufan He, Jerry L. Prince. 291-298 [doi]
- Structural Connectivity Guided Sparse Effective Connectivity for MCI IdentificationYang Li, Jingyu Liu, Mei-Lin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen. 299-306 [doi]
- Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI ClassificationYang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen. 307-315 [doi]
- Novel Effective Connectivity Network Inference for MCI IdentificationYang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee, Dinggang Shen. 316-324 [doi]
- Reconstruction of Thin-Slice Medical Images Using Generative Adversarial NetworkZeju Li, Yuanyuan Wang, Jinhua Yu. 325-333 [doi]
- Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to "Virtual" High-Dose CT ImagesKenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai. 334-343 [doi]
- Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline PredictionGiles Tetteh, Markus Rempfler, Claus Zimmer, Bjoern H. Menze. 344-352 [doi]
- Product Space Decompositions for Continuous Representations of Brain ConnectivityDaniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson. 353-361 [doi]
- Identifying Autism from Resting-State fMRI Using Long Short-Term Memory NetworksNicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan. 362-370 [doi]
- Machine Learning for Large-Scale Quality Control of 3D Shape Models in NeuroimagingDmitry Petrov, Boris A. Gutman, Shih-Hua (Julie) Yu, Kathryn I. Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev, Jessica A. Turner, Theo G. M. van Erp, Lei Wang, Lianne Schmaal, Dick J. Veltman, Paul M. Thompson. 371-378 [doi]
- Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep NetworksSeyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour. 379-387 [doi]