Table of Contents

• UNet++: A Nested U-Net Architecture for Medical Image SegmentationZongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang. 3-11 [doi]
• Deep Semi-supervised Segmentation with Weight-Averaged Consistency TargetsChristian S. Perone, Julien Cohen-Adad. 12-19 [doi]
• A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography DataMohammad H. Jafari, Hany Girgis, Zhibin Liao, Delaram Behnami, Amir H. Abdi, Hooman Vaseli, Christina Luong, Robert Rohling, Ken Gin, Teresa Tsang, Purang Abolmaesumi. 29-37 [doi]
• Multi-scale Residual Network with Two Channels of Raw CT Image and Its Differential Excitation Component for Emphysema ClassificationLiying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Dan Wang, Xian-Hua Han, Yutaro Iwamoto, Yen-Wei Chen. 38-46 [doi]
• TreeNet: Multi-loss Deep Learning Network to Predict Branch Direction for Extracting 3D Anatomical TreesMengliu Zhao, Ghassan Hamarneh. 47-55 [doi]
• 3D Deep Affine-Invariant Shape Learning for Brain MR Image SegmentationZhou He, Siqi Bao, Albert C. S. Chung. 56-64 [doi]
• Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in EchocardiographyDelaram Behnami, Christina Luong, Hooman Vaseli, Amir H. Abdi, Hany Girgis, Dale Hawley, Robert Rohling, Ken Gin, Purang Abolmaesumi, Teresa Tsang. 65-73 [doi]
• MTMR-Net: Multi-task Deep Learning with Margin Ranking Loss for Lung Nodule AnalysisLihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin 0001, Pheng-Ann Heng. 74-82 [doi]
• Active Deep Learning with Fisher Information for Patch-Wise Semantic SegmentationJamshid Sourati, Ali Gholipour, Jennifer G. Dy, Sila Kurugol, Simon K. Warfield. 83-91 [doi]
• Contextual Additive Networks to Efficiently Boost 3D Image SegmentationsZhenlin Xu, Zhengyang Shen, Marc Niethammer. 92-100 [doi]
• Unsupervised Probabilistic Deformation Modeling for Robust Diffeomorphic RegistrationJulian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette. 101-109 [doi]
• Rapid Training Data Generation for Tissue Segmentation Using Global Approximate Block-Matching with Self-organizing MapsLee B. Reid, Alex M. Pagnozzi. 110-118 [doi]
• Focal Dice Loss and Image Dilation for Brain Tumor SegmentationPei Wang, Albert C. S. Chung. 119-127 [doi]
• Deep Particle Tracker: Automatic Tracking of Particles in Fluorescence Microscopy Images Using Deep LearningRoman Spilger, Thomas Wollmann, Yu Qiang, Andrea Imle, Ji Young Lee, Barbara Müller, Oliver T. Fackler, Ralf Bartenschlager, Karl Rohr. 128-136 [doi]
• 3D Convolutional Neural Networks for Classification of Functional ConnectomesMeenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu. 137-145 [doi]
• Unpaired Deep Cross-Modality Synthesis with Fast TrainingLei Xiang, Yang Li, Weili Lin, Qian Wang, Dinggang Shen. 155-164 [doi]
• UOLO - Automatic Object Detection and Segmentation in Biomedical ImagesTeresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa 0005, Ana Maria Mendonça, Aurélio Campilho. 165-173 [doi]
• Unpaired Brain MR-to-CT Synthesis Using a Structure-Constrained CycleGANHeran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, ZongBen Xu, Jerry L. Prince. 174-182 [doi]
• Weakly Supervised Localisation for Fetal Ultrasound ImagesNicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gómez, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel. 192-200 [doi]
• PIMMS: Permutation Invariant Multi-modal SegmentationThomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso. 201-209 [doi]
• Unsupervised Feature Learning for Outlier Detection with Stacked Convolutional Autoencoders, Siamese Networks and Wasserstein Autoencoders: Application to Epilepsy DetectionZara Alaverdyan, Jiazheng Chai, Carole Lartizien. 210-217 [doi]
• Semi-automated Extraction of Crohns Disease MR Imaging Markers Using a 3D Residual CNN with Distance PriorYechiel Lamash, Sila Kurugol, Simon K. Warfield. 218-226 [doi]
• Learning Optimal Deep Projection of ^18 F-FDG PET Imaging for Early Differential Diagnosis of Parkinsonian SyndromesShubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang, Igor Yakushev, Stefan Förster, Markus Schwaiger, Sung-Cheng Huang, Axel Rominger, Chuantao Zuo, Kuangyu Shi. 227-235 [doi]
• Learning to Segment Medical Images with Scribble-Supervision AloneYigit Baran Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner. 236-244 [doi]
• Learning to Decode 7T-Like MR Image Reconstruction from 3T MR ImagesAditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar. 245-253 [doi]
• Nonlinear Adaptively Learned Optimization for Object Localization in 3D Medical ImagesMayalen Etcheverry, Bogdan Georgescu, Benjamin Odry, Thomas J. Re, Shivam Kaushik, Bernhard Geiger, Mariappan S. Nadar, Sasa Grbic, Dorin Comaniciu. 254-262 [doi]
• SCAN: Structure Correcting Adversarial Network for Organ Segmentation in Chest X-RaysWei Dai 0003, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing. 263-273 [doi]
• Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image ClassificationMarc Combalia, Verónica Vilaplana. 274-281 [doi]
• Automatic Segmentation of Pulmonary Lobes Using a Progressive Dense V-NetworkAbdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh. 282-290 [doi]
• Computed Tomography Image Enhancement Using 3D Convolutional Neural NetworkMeng Li, Shiwen Shen, Wen Gao 0001, William Hsu, Jason Cong. 291-299 [doi]
• Paediatric Bone Age Assessment Using Deep Convolutional Neural NetworksVladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey A. Shvets. 300-308 [doi]
• Automatic Myocardial Strain Imaging in Echocardiography Using Deep LearningAndreas Østvik, Erik Smistad, Torvald Espeland, Erik Andreas Rye Berg, Lasse Løvstakken. 309-316 [doi]
• Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-Slide ImagesNanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai 0003, Eric Xing. 317-325 [doi]
• Longitudinal Detection of Radiological Abnormalities with Time-Modulated LSTMRuggiero Santeramo, Samuel Withey, Giovanni Montana. 326-333 [doi]
• Iterative Segmentation from Limited Training Data: Applications to Congenital Heart DiseaseDanielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese, Mehdi H. Moghari, Polina Golland. 334-342 [doi]
• ScarGAN: Chained Generative Adversarial Networks to Simulate Pathological Tissue on Cardiovascular MR ScansFelix Lau, Tom Hendriks, Jesse Lieman-Sifry, Sean Sall, Daniel Golden. 343-350 [doi]
• A Multi-scale Multiple Sclerosis Lesion Change Detection in a Multi-sequence MRIMyra Cheng, Alfiia Galimzianova, Ziga Lesjak, Ziga Spiclin, Christopher B. Lock, Daniel L. Rubin. 353-360 [doi]
• Multi-task Sparse Low-Rank Learning for Multi-classification of Parkinson's DiseaseHaijun Lei, Yujia Zhao, Baiying Lei. 361-368 [doi]
• Optic Disc Segmentation in Retinal Fundus Images Using Fully Convolutional Network and Removal of False-Positives Based on Shape FeaturesSandip Sadhukhan, Goutam Kumar Ghorai, Souvik Maiti, Vikrant Anilrao Karale, Gautam Sarkar, Ashis Kumar Dhara. 369-376 [doi]
• Integrating Deformable Modeling with 3D Deep Neural Network SegmentationHui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer F. Syeda-Mahmood. 377-384 [doi]