Deep learning in medical image analysis and multimodal learning for clinical decision support : third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, held in conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, Proceedings

Front Matter ....Pages I-XIX
Front Matter ....Pages 1-1
 Simultaneous Multiple Surface Segmentation Using Deep Learning  (Abhay Shah, Michael D. Abramoff, Xiaodong Wu)....Pages 3-11
 A Deep Residual Inception Network for HEp-2 Cell Classification  (Yuexiang Li, Linlin Shen)....Pages 12-20
 Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures  (Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan)....Pages 21-29
 Accelerated Magnetic Resonance Imaging by Adversarial Neural Network  (Ohad Shitrit, Tammy Riklin Raviv)....Pages 30-38
 Left Atrium Segmentation in CT Volumes with Fully Convolutional Networks  (Honghui Liu, Jianjiang Feng, Zishun Feng, Jiwen Lu, Jie Zhou)....Pages 39-46
 3D Randomized Connection Network with Graph-Based Inference  (Siqi Bao, Pei Wang, Albert C. S. Chung)....Pages 47-55
 Adversarial Training and Dilated Convolutions for Brain MRI Segmentation  (Pim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim)....Pages 56-64
 CNNs Enable Accurate and Fast Segmentation of Drusen in Optical Coherence Tomography  (Shekoufeh Gorgi Zadeh, Maximilian W. M. Wintergerst, Vitalis Wiens, Sarah Thiele, Frank G. Holz, Robert P. Finger et al.)....Pages 65-73
 Region-Aware Deep Localization Framework for Cervical Vertebrae in X-Ray Images  (S. M. Masudur Rahman Al Arif, Karen Knapp, Greg Slabaugh)....Pages 74-82
 Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology Images  (Maxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta)....Pages 83-91
 Accurate Lung Segmentation via Network-Wise Training of Convolutional Networks  (Sangheum Hwang, Sunggyun Park)....Pages 92-99
 Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms  (Fatemeh Taheri Dezaki, Neeraj Dhungel, Amir H. Abdi, Christina Luong, Teresa Tsang, John Jue et al.)....Pages 100-108
 Computationally Efficient Cardiac Views Projection Using 3D Convolutional Neural Networks  (Matthieu Le, Jesse Lieman-Sifry, Felix Lau, Sean Sall, Albert Hsiao, Daniel Golden)....Pages 109-116
 Non-rigid Craniofacial 2D-3D Registration Using CNN-Based Regression  (Yuru Pei, Yungeng Zhang, Haifang Qin, Gengyu Ma, Yuke Guo, Tianmin Xu et al.)....Pages 117-125
 A Deep Level Set Method for Image Segmentation  (Min Tang, Sepehr Valipour, Zichen Zhang, Dana Cobzas, Martin Jagersand)....Pages 126-134
 Context-Based Normalization of Histological Stains Using Deep Convolutional Features  (D. Bug, S. Schneider, A. Grote, E. Oswald, F. Feuerhake, J. Schüler et al.)....Pages 135-142
 Transitioning Between Convolutional and Fully Connected Layers in Neural Networks  (Shazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne Martel)....Pages 143-150
 Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural Networks  (Behrouz Saghafi, Prabhat Garg, Benjamin C. Wagner, S. Carrie Smith, Jianzhao Xu, Ananth J. Madhuranthakam et al.)....Pages 151-159
 Multi-stage Diagnosis of Alzheimer’s Disease with Incomplete Multimodal Data via Multi-task Deep Learning  (Kim-Han Thung, Pew-Thian Yap, Dinggang Shen)....Pages 160-168
 A Multi-scale CNN and Curriculum Learning Strategy for Mammogram Classification  (William Lotter, Greg Sorensen, David Cox)....Pages 169-177
 Analyzing Microscopic Images of Peripheral Blood Smear Using Deep Learning  (Dheeraj Mundhra, Bharath Cheluvaraju, Jaiprasad Rampure, Tathagato Rai Dastidar)....Pages 178-185
 AGNet: Attention-Guided Network for Surgical Tool Presence Detection  (Xiaowei Hu, Lequan Yu, Hao Chen, Jing Qin, Pheng-Ann Heng)....Pages 186-194
 Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random Walker  (Kevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura)....Pages 195-203
 End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural Network  (Bob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Išgum)....Pages 204-212
 Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology Images  (Azam Hamidinekoo, Reyer Zwiggelaar)....Pages 213-221
 3D FCN Feature Driven Regression Forest-Based Pancreas Localization and Segmentation  (Masahiro Oda, Natsuki Shimizu, Holger R. Roth, Ken’ichi Karasawa, Takayuki Kitasaka, Kazunari Misawa et al.)....Pages 222-230
 A Unified Framework for Tumor Proliferation Score Prediction in Breast Histopathology  (Kyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Minsoo Kim)....Pages 231-239
 Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced Segmentations  (Carole H. Sudre, Wenqi Li, Tom Vercauteren, Sebastien Ourselin, M. Jorge Cardoso)....Pages 240-248
 ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned Features  (Inwan Yoo, David G. C. Hildebrand, Willie F. Tobin, Wei-Chung Allen Lee, Won-Ki Jeong)....Pages 249-257
 Fully Convolutional Regression Network for Accurate Detection of Measurement Points  (Michal Sofka, Fausto Milletari, Jimmy Jia, Alex Rothberg)....Pages 258-266
 Fast Predictive Simple Geodesic Regression  (Zhipeng Ding, Greg Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer et al.)....Pages 267-275
 Learning Spatio-Temporal Aggregation for Fetal Heart Analysis in Ultrasound Video  (Arijit Patra, Weilin Huang, J. Alison Noble)....Pages 276-284
 Fast, Simple Calcium Imaging Segmentation with Fully Convolutional Networks  (Aleksander Klibisz, Derek Rose, Matthew Eicholtz, Jay Blundon, Stanislav Zakharenko)....Pages 285-293
 Self-supervised Learning for Spinal MRIs  (Amir Jamaludin, Timor Kadir, Andrew Zisserman)....Pages 294-302
 Skin Lesion Segmentation via Deep RefineNet  (Xinzi He, Zhen Yu, Tianfu Wang, Baiying Lei)....Pages 303-311
 Multi-scale Networks for Segmentation of Brain Magnetic Resonance Images  (Jie Wei, Yong Xia)....Pages 312-320
 Deep Learning for Automatic Detection of Abnormal Findings in Breast Mammography  (Ayelet Akselrod-Ballin, Leonid. Karlinsky, Alon Hazan, Ran Bakalo, Ami Ben Horesh, Yoel Shoshan et al.)....Pages 321-329
 Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut Connections  (Adam Porisky, Tom Brosch, Emil Ljungberg, Lisa Y. W. Tang, Youngjin Yoo, Benjamin De Leener et al.)....Pages 330-337
Front Matter ....Pages 339-339
 Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple Templates  (Johannes Hofmanninger, Bjoern Menze, Marc-André Weber, Georg Langs)....Pages 341-348
 Automated Detection of Epileptogenic Cortical Malformations Using Multimodal MRI  (Ravnoor S. Gill, Seok-Jun Hong, Fatemeh Fadaie, Benoit Caldairou, Boris Bernhardt, Neda Bernasconi et al.)....Pages 349-356
 Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical Trials  (Manon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois et al.)....Pages 357-364
 Automated Multimodal Breast CAD Based on Registration of MRI and Two View Mammography  (T. Hopp, P. Cotic Smole, N. V. Ruiter)....Pages 365-372
 EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual Function  (Shikha Chaganti, Jamie R. Robinson, Camilo Bermudez, Thomas Lasko, Louise A. Mawn, Bennett A. Landman)....Pages 373-381
 Erratum to: Fast Predictive Simple Geodesic Regression  (Zhipeng Ding, Greg Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer et al.)....Pages E1-E1
Back Matter ....Pages 383-385