Machine learning in medical imaging : 8th International Workshop, MLMI 2017, held in conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings

Front Matter ....Pages VII-XIX
 From Large to Small Organ Segmentation in CT Using Regional Context  (Marie Bieth, Esther Alberts, Markus Schwaiger, Bjoern Menze)....Pages 1-9
 Motion Corruption Detection in Breast DCE-MRI  (Sylvester Chiang, Sharmila Balasingham, Lara Richmond, Belinda Curpen, Mia Skarpathiotakis, Anne Martel)....Pages 10-18
 Detection and Localization of Drosophila Egg Chambers in Microscopy Images  (Jiří Borovec, Jan Kybic, Rodrigo Nava)....Pages 19-26
 Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring  (Felix Durlak, Michael Wels, Chris Schwemmer, Michael Sühling, Stefan Steidl, Andreas Maier)....Pages 27-35
 Atlas of Classifiers for Brain MRI Segmentation  (Boris Kodner, Shiri Gordon, Jacob Goldberger, Tammy Riklin Raviv)....Pages 36-44
 Dictionary Learning and Sparse Coding-Based Denoising for High-Resolution Task Functional Connectivity MRI Analysis  (Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh)....Pages 45-52
 Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer’s Disease  (Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie-Odile Habert, Stanley Durrleman et al.)....Pages 53-60
 Multi-factorial Age Estimation from Skeletal and Dental MRI Volumes  (Darko Štern, Philipp Kainz, Christian Payer, Martin Urschler)....Pages 61-69
 Automatic Classification of Proximal Femur Fractures Based on Attention Models  (Anees Kazi, Shadi Albarqouni, Amelia Jimenez Sanchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab et al.)....Pages 70-78
 Joint Supervoxel Classification Forest for Weakly-Supervised Organ Segmentation  (Fahdi Kanavati, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker)....Pages 79-87
 Accurate and Consistent Hippocampus Segmentation Through Convolutional LSTM and View Ensemble  (Yani Chen, Bibo Shi, Zhewei Wang, Tao Sun, Charles D. Smith, Jundong Liu)....Pages 88-96
 STAR: Spatio-Temporal Architecture for Super-Resolution in Low-Dose CT Perfusion  (Yao Xiao, Ajay Gupta, Pina C. Sanelli, Ruogu Fang)....Pages 97-105
 Classification of Alzheimer’s Disease by Cascaded Convolutional Neural Networks Using PET Images  (Danni Cheng, Manhua Liu)....Pages 106-113
 Finding Dense Supervoxel Correspondence of Cone-Beam Computed Tomography Images  (Yuru Pei, Yunai Yi, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu et al.)....Pages 114-122
 Multi-scale Volumetric ConvNet with Nested Residual Connections for Segmentation of Anterior Cranial Base  (Yuru Pei, Haifang Qin, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu et al.)....Pages 123-131
 Feature Learning and Fusion of Multimodality Neuroimaging and Genetic Data for Multi-status Dementia Diagnosis  (Tao Zhou, Kim-Han Thung, Xiaofeng Zhu, Dinggang Shen)....Pages 132-140
 3D Convolutional Neural Networks with Graph Refinement for Airway Segmentation Using Incomplete Data Labels  (Dakai Jin, Ziyue Xu, Adam P. Harrison, Kevin George, Daniel J. Mollura)....Pages 141-149
 Efficient Groupwise Registration for Brain MRI by Fast Initialization  (Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen)....Pages 150-158
 Sparse Multi-view Task-Centralized Learning for ASD Diagnosis  (Jun Wang, Qian Wang, Shitong Wang, Dinggang Shen)....Pages 159-167
 Inter-subject Similarity Guided Brain Network Modeling for MCI Diagnosis  (Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen)....Pages 168-175
 Scalable and Fault Tolerant Platform for Distributed Learning on Private Medical Data  (Alborz Amir-Khalili, Soheil Kianzad, Rafeef Abugharbieh, Ivan Beschastnikh)....Pages 176-184
 Triple-Crossing 2.5D Convolutional Neural Network for Detecting Neuronal Arbours in 3D Microscopic Images  (Siqi Liu, Donghao Zhang, Yang Song, Hanchuan Peng, Weidong Cai)....Pages 185-193
 Longitudinally-Consistent Parcellation of Infant Population Cortical Surfaces Based on Functional Connectivity  (Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen)....Pages 194-202
 Gradient Boosted Trees for Corrective Learning  (Baris U. Oguz, Russell T. Shinohara, Paul A. Yushkevich, Ipek Oguz)....Pages 203-211
 Self-paced Convolutional Neural Network for Computer Aided Detection in Medical Imaging Analysis  (Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek et al.)....Pages 212-219
 A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling  (Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen)....Pages 220-228
 Collage CNN for Renal Cell Carcinoma Detection from CT  (Mohammad Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh)....Pages 229-237
 Aggregating Deep Convolutional Features for Melanoma Recognition in Dermoscopy Images  (Zhen Yu, Xudong Jiang, Tianfu Wang, Baiying Lei)....Pages 238-246
 Localizing Cardiac Structures in Fetal Heart Ultrasound Video  (Christopher P. Bridge, Christos Ioannou, J. Alison Noble)....Pages 247-255
 Deformable Registration Through Learning of Context-Specific Metric Aggregation  (Enzo Ferrante, Puneet K. Dokania, Rafael Marini, Nikos Paragios)....Pages 256-265
 Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework  (Dong Nie, Li Wang, Roger Trullo, Jianfu Li, Peng Yuan, James Xia et al.)....Pages 266-273
 3D U-net with Multi-level Deep Supervision: Fully Automatic Segmentation of Proximal Femur in 3D MR Images  (Guodong Zeng, Xin Yang, Jing Li, Lequan Yu, Pheng-Ann Heng, Guoyan Zheng)....Pages 274-282
 Indecisive Trees for Classification and Prediction of Knee Osteoarthritis  (Luca Minciullo, Paul A. Bromiley, David T. Felson, Timothy F. Cootes)....Pages 283-290
 Whole Brain Segmentation and Labeling from CT Using Synthetic MR Images  (Can Zhao, Aaron Carass, Junghoon Lee, Yufan He, Jerry L. Prince)....Pages 291-298
 Structural Connectivity Guided Sparse Effective Connectivity for MCI Identification  (Yang Li, Jingyu Liu, Meilin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim et al.)....Pages 299-306
 Fusion of High-Order and Low-Order Effective Connectivity Networks for MCI Classification  (Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee et al.)....Pages 307-315
 Novel Effective Connectivity Network Inference for MCI Identification  (Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee et al.)....Pages 316-324
 Reconstruction of Thin-Slice Medical Images Using Generative Adversarial Network  (Zeju Li, Yuanyuan Wang, Jinhua Yu)....Pages 325-333
 Neural Network Convolution (NNC) for Converting Ultra-Low-Dose to “Virtual” High-Dose CT Images  (Kenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai)....Pages 334-343
 Deep-FExt: Deep Feature Extraction for Vessel Segmentation and Centerline Prediction  (Giles Tetteh, Markus Rempfler, Claus Zimmer, Bjoern H. Menze)....Pages 344-352
 Product Space Decompositions for Continuous Representations of Brain Connectivity  (Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson)....Pages 353-361
 Identifying Autism from Resting-State fMRI Using Long Short-Term Memory Networks  (Nicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan)....Pages 362-370
 Machine Learning for Large-Scale Quality Control of 3D Shape Models in Neuroimaging  (Dmitry Petrov, Boris A. Gutman, Shih-Hua (Julie) Yu, Kathryn Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev et al.)....Pages 371-378
 Tversky Loss Function for Image Segmentation Using 3D Fully Convolutional Deep Networks  (Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour)....Pages 379-387
Back Matter ....Pages 389-391