Abstract is missing.
- Simultaneous Multiple Surface Segmentation Using Deep LearningAbhay Shah, Michael D. Abràmoff, Xiaodong Wu. 3-11 [doi]
- A Deep Residual Inception Network for HEp-2 Cell ClassificationYuexiang Li, LinLin Shen. 12-20 [doi]
- Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep ArchitecturesRoger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan. 21-29 [doi]
- Accelerated Magnetic Resonance Imaging by Adversarial Neural NetworkOhad Shitrit, Tammy Riklin-Raviv. 30-38 [doi]
- Left Atrium Segmentation in CT Volumes with Fully Convolutional NetworksHonghui Liu, Jianjiang Feng, Zishun Feng, Jiwen Lu, Jie Zhou. 39-46 [doi]
- 3D Randomized Connection Network with Graph-Based InferenceSiqi Bao, Pei Wang, Albert C. S. Chung. 47-55 [doi]
- Adversarial Training and Dilated Convolutions for Brain MRI SegmentationPim Moeskops, Mitko Veta, Maxime W. Lafarge, Koen A. J. Eppenhof, Josien P. W. Pluim. 56-64 [doi]
- CNNs Enable Accurate and Fast Segmentation of Drusen in Optical Coherence TomographyShekoufeh Gorgi Zadeh, Maximilian W. M. Wintergerst, Vitalis Wiens, Sarah Thiele, Frank G. Holz, Robert P. Finger, Thomas Schultz 0001. 65-73 [doi]
- Region-Aware Deep Localization Framework for Cervical Vertebrae in X-Ray ImagesS. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh. 74-82 [doi]
- Domain-Adversarial Neural Networks to Address the Appearance Variability of Histopathology ImagesMaxime W. Lafarge, Josien P. W. Pluim, Koen A. J. Eppenhof, Pim Moeskops, Mitko Veta. 83-91 [doi]
- Accurate Lung Segmentation via Network-Wise Training of Convolutional NetworksSangheum Hwang, Sunggyun Park. 92-99 [doi]
- Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from EchocardiogramsFatemeh Taheri Dezaki, Neeraj Dhungel, Amir H. Abdi, Christina Luong, Teresa Tsang, John Jue, Ken Gin, Dale Hawley, Robert Rohling, Purang Abolmaesumi. 100-108 [doi]
- Computationally Efficient Cardiac Views Projection Using 3D Convolutional Neural NetworksMatthieu Lê, Jesse Lieman-Sifry, Felix Lau, Sean Sall, Albert Hsiao, Daniel Golden. 109-116 [doi]
- Non-rigid Craniofacial 2D-3D Registration Using CNN-Based RegressionYuru Pei, Yungeng Zhang, Haifang Qin, Gengyu Ma, Yuke Guo, Tianmin Xu, Hongbin Zha. 117-125 [doi]
- A Deep Level Set Method for Image SegmentationMin Tang, Sepehr Valipour, Zichen Zhang, Dana Cobzas, Martin Jägersand. 126-134 [doi]
- Context-Based Normalization of Histological Stains Using Deep Convolutional FeaturesDaniel Bug, Steffen Schneider, Anne Grote, Eva Oswald, Friedrich Feuerhake, J. Schüler, Dorit Merhof. 135-142 [doi]
- Transitioning Between Convolutional and Fully Connected Layers in Neural NetworksShazia Akbar, Mohammad Peikari, Sherine Salama, Sharon Nofech-Mozes, Anne Martel. 143-150 [doi]
- Quantifying the Impact of Type 2 Diabetes on Brain Perfusion Using Deep Neural NetworksBehrouz Saghafi, Prabhat Garg, Benjamin C. Wagner, S. Carrie Smith, Jianzhao Xu, Ananth J. Madhuranthakam, Youngkyoo Jung, Jasmin Divers, Barry I. Freedman, Joseph A. Maldjian, Albert Montillo. 151-159 [doi]
- Multi-stage Diagnosis of Alzheimer's Disease with Incomplete Multimodal Data via Multi-task Deep LearningKim-Han Thung, Pew-Thian Yap, Dinggang Shen. 160-168 [doi]
- A Multi-scale CNN and Curriculum Learning Strategy for Mammogram ClassificationWilliam Lotter, Greg Sorensen, David Cox. 169-177 [doi]
- Analyzing Microscopic Images of Peripheral Blood Smear Using Deep LearningDheeraj Mundhra, Bharath Cheluvaraju, Jaiprasad Rampure, Tathagato Rai Dastidar. 178-185 [doi]
- AGNet: Attention-Guided Network for Surgical Tool Presence DetectionXiaowei Hu, Lequan Yu, Hao Chen, Jing Qin, Pheng-Ann Heng. 186-194 [doi]
- Pathological Pulmonary Lobe Segmentation from CT Images Using Progressive Holistically Nested Neural Networks and Random WalkerKevin George, Adam P. Harrison, Dakai Jin, Ziyue Xu, Daniel J. Mollura. 195-203 [doi]
- End-to-End Unsupervised Deformable Image Registration with a Convolutional Neural NetworkBob D. de Vos, Floris F. Berendsen, Max A. Viergever, Marius Staring, Ivana Isgum. 204-212 [doi]
- Stain Colour Normalisation to Improve Mitosis Detection on Breast Histology ImagesAzam Hamidinekoo, Reyer Zwiggelaar. 213-221 [doi]
- 3D FCN Feature Driven Regression Forest-Based Pancreas Localization and SegmentationMasahiro Oda, Natsuki Shimizu, Holger R. Roth, Kenichi Karasawa, Takayuki Kitasaka, Kazunari Misawa, Michitaka Fujiwara, Daniel Rueckert, Kensaku Mori. 222-230 [doi]
- A Unified Framework for Tumor Proliferation Score Prediction in Breast HistopathologyKyunghyun Paeng, Sangheum Hwang, Sunggyun Park, Minsoo Kim. 231-239 [doi]
- Generalised Dice Overlap as a Deep Learning Loss Function for Highly Unbalanced SegmentationsCarole H. Sudre, Wenqi Li, Tom Vercauteren, Sébastien Ourselin, M. Jorge Cardoso. 240-248 [doi]
- ssEMnet: Serial-Section Electron Microscopy Image Registration Using a Spatial Transformer Network with Learned FeaturesInwan Yoo, David G. C. Hildebrand, Willie F. Tobin, Wei-Chung Allen Lee, Won-Ki Jeong. 249-257 [doi]
- Fully Convolutional Regression Network for Accurate Detection of Measurement PointsMichal Sofka, Fausto Milletari, Jimmy Jia, Alex Rothberg. 258-266 [doi]
- Fast Predictive Simple Geodesic RegressionZhipeng Ding, Greg M. Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer. 267-275 [doi]
- Learning Spatio-Temporal Aggregation for Fetal Heart Analysis in Ultrasound VideoArijit Patra, Weilin Huang, J. Alison Noble. 276-284 [doi]
- Fast, Simple Calcium Imaging Segmentation with Fully Convolutional NetworksAleksander Klibisz, Derek Rose, Matthew Eicholtz, Jay Blundon, Stanislav Zakharenko. 285-293 [doi]
- Self-supervised Learning for Spinal MRIsAmir Jamaludin, Timor Kadir, Andrew Zisserman. 294-302 [doi]
- Skin Lesion Segmentation via Deep RefineNetXinzi He, Zhen Yu, Tianfu Wang, Baiying Lei. 303-311 [doi]
- Multi-scale Networks for Segmentation of Brain Magnetic Resonance ImagesJie Wei, Yong Xia. 312-320 [doi]
- Deep Learning for Automatic Detection of Abnormal Findings in Breast MammographyAyelet Akselrod-Ballin, Leonid Karlinsky, Alon Hazan, Ran Bakalo, Ami Ben Horesh, Yoel Shoshan, Ella Barkan. 321-329 [doi]
- Grey Matter Segmentation in Spinal Cord MRIs via 3D Convolutional Encoder Networks with Shortcut ConnectionsAdam Porisky, Tom Brosch, Emil Ljungberg, Lisa Y. W. Tang, Youngjin Yoo, Benjamin De Leener, Anthony Traboulsee, Julien Cohen-Adad, Roger C. Tam. 330-337 [doi]
- Mapping Multi-Modal Routine Imaging Data to a Single Reference via Multiple TemplatesJohannes Hofmanninger, Bjoern H. Menze, Marc-André Weber, Georg Langs. 341-348 [doi]
- Automated Detection of Epileptogenic Cortical Malformations Using Multimodal MRIRavnoor S. Gill, Seok-Jun Hong, Fatemeh Fadaie, Benoît Caldairou, Boris C. Bernhardt, Neda Bernasconi, Andrea Bernasconi. 349-356 [doi]
- Prediction of Amyloidosis from Neuropsychological and MRI Data for Cost Effective Inclusion of Pre-symptomatic Subjects in Clinical TrialsManon Ansart, Stéphane Epelbaum, Geoffroy Gagliardi, Olivier Colliot, Didier Dormont, Bruno Dubois, Harald Hampel, Stanley Durrleman. 357-364 [doi]
- Automated Multimodal Breast CAD Based on Registration of MRI and Two View MammographyTorsten Hopp, P. Cotic Smole, Nicole V. Ruiter. 365-372 [doi]
- EMR-Radiological Phenotypes in Diseases of the Optic Nerve and Their Association with Visual FunctionShikha Chaganti, Jamie R. Robinson, Camilo Bermudez, Thomas Lasko, Louise A. Mawn, Bennett A. Landman. 373-381 [doi]