Medical Image Computing and Computer Assisted Intervention – MICCAI 2018: 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part I

Front Matter ....Pages I-XXXI
Front Matter ....Pages 1-1
 Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear  (Jianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant)....Pages 3-11
 Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image Denoising  (Peng Liu, Yangjunyi Li, Mohammad D. El Basha, Ruogu Fang)....Pages 12-20
 Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRI  (David Owen, Andrew Melbourne, Zach Eaton-Rosen, David L. Thomas, Neil Marlow, Jonathan Rohrer et al.)....Pages 21-29
 DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual Learning  (Cagdas Ulas, Giles Tetteh, Stephan Kaczmarz, Christine Preibisch, Bjoern H. Menze)....Pages 30-38
 Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model Loss  (Cagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw et al.)....Pages 39-47
 Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNs  (Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Kerstin Kläser, Andrew Melbourne, Pawel J. Markiewicz et al.)....Pages 48-56
 Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?  (Saeed Izadi, Kathleen P. Moriarty, Ghassan Hamarneh)....Pages 57-64
 A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging  (Amir Fazlollahi, Scott Ayton, Pierrick Bourgeat, Ibrahima Diouf, Parnesh Raniga, Jurgen Fripp et al.)....Pages 65-72
 Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled Sensors  (Hongxiang Lin, Takashi Azuma, Mehmet Burcin Unlu, Shu Takagi)....Pages 73-81
 A No-Reference Quality Metric for Retinal Vessel Tree Segmentation  (Adrian Galdran, Pedro Costa, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho)....Pages 82-90
 Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected Network  (Yuhua Chen, Feng Shi, Anthony G. Christodoulou, Yibin Xie, Zhengwei Zhou, Debiao Li)....Pages 91-99
 A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRI  (Can Zhao, Aaron Carass, Blake E. Dewey, Jonghye Woo, Jiwon Oh, Peter A. Calabresi et al.)....Pages 100-108
 Gradient Profile Based Super Resolution of MR Images with Induced Sparsity  (Prabhjot Kaur, Anil Kumar Sao)....Pages 109-117
 Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D Images  (Stefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander)....Pages 118-125
 High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning  (Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alex Bronstein, Michael Zibulevsky, Oleg Michailovich et al.)....Pages 126-134
Front Matter ....Pages 135-135
 Phase-Sensitive Region-of-Interest Computed Tomography  (Lina Felsner, Martin Berger, Sebastian Kaeppler, Johannes Bopp, Veronika Ludwig, Thomas Weber et al.)....Pages 137-144
 Some Investigations on Robustness of Deep Learning in Limited Angle Tomography  (Yixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas Maier)....Pages 145-153
 Adversarial Sparse-View CBCT Artifact Reduction  (Haofu Liao, Zhimin Huo, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo)....Pages 154-162
 Nasal Mesh Unfolding – An Approach to Obtaining 2-D Skin Templates from 3-D Nose Models  (Hongying Li, Marc Robini, Zhongwei Zhou, Wei Tang, Yuemin Zhu)....Pages 163-170
 Towards Generating Personalized Volumetric Phantom from Patient’s Surface Geometry  (Yifan Wu, Vivek Singh, Brian Teixeira, Kai Ma, Birgi Tamersoy, Andreas Krauss et al.)....Pages 171-179
 Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-space  (Pengyue Zhang, Fusheng Wang, Wei Xu, Yu Li)....Pages 180-188
 A Learning-Based Metal Artifacts Correction Method for MRI Using Dual-Polarity Readout Gradients and Simulated Data  (Kinam Kwon, Dongchan Kim, HyunWook Park)....Pages 189-197
 Motion Aware MR Imaging via Spatial Core Correspondence  (Christoph Jud, Damien Nguyen, Robin Sandkühler, Alina Giger, Oliver Bieri, Philippe C. Cattin)....Pages 198-205
 Nonparametric Density Flows for MRI Intensity Normalisation  (Daniel C. Castro, Ben Glocker)....Pages 206-214
 Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted Information  (Lei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang et al.)....Pages 215-223
 Image Reconstruction by Splitting Deep Learning Regularization from Iterative Inversion  (Jiulong Liu, Tao Kuang, Xiaoqun Zhang)....Pages 224-231
 Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction  (Maximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein et al.)....Pages 232-240
 Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance Imaging  (Taejoon Eo, Hyungseob Shin, Taeseong Kim, Yohan Jun, Dosik Hwang)....Pages 241-249
 Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection  (Ilkay Oksuz, Bram Ruijsink, Esther Puyol-Antón, Aurelien Bustin, Gastao Cruz, Claudia Prieto et al.)....Pages 250-258
 Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning  (Jo Schlemper, Ozan Oktay, Wenjia Bai, Daniel C. Castro, Jinming Duan, Chen Qin et al.)....Pages 259-267
 A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image Stacks  (Giacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki et al.)....Pages 268-276
 Automatic View Planning with Multi-scale Deep Reinforcement Learning Agents  (Amir Alansary, Loic Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai et al.)....Pages 277-285
 Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural Networks  (Yu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong et al.)....Pages 286-294
 Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRI  (Jo Schlemper, Guang Yang, Pedro Ferreira, Andrew Scott, Laura-Ann McGill, Zohya Khalique et al.)....Pages 295-303
 Automatic, Fast and Robust Characterization of Noise Distributions for Diffusion MRI  (Samuel St-Jean, Alberto De Luca, Max A. Viergever, Alexander Leemans)....Pages 304-312
 An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI  (Michael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane et al.)....Pages 313-320
 Retinal Image Understanding Emerges from Self-Supervised Multimodal Reconstruction  (Álvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega)....Pages 321-328
 Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis  (Yan Wang, Luping Zhou, Lei Wang, Biting Yu, Chen Zu, David S. Lalush et al.)....Pages 329-337
 Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET Reconstruction  (Viswanath P. Sudarshan, Zhaolin Chen, Suyash P. Awate)....Pages 338-346
 Analysis of 3D Facial Dysmorphology in Genetic Syndromes from Unconstrained 2D Photographs  (Liyun Tu, Antonio R. Porras, Alec Boyle, Marius George Linguraru)....Pages 347-355
 Double Your Views – Exploiting Symmetry in Transmission Imaging  (Alexander Preuhs, Andreas Maier, Michael Manhart, Javad Fotouhi, Nassir Navab, Mathias Unberath)....Pages 356-364
 Real Time RNN Based 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip  (Olivia Paserin, Kishore Mulpuri, Anthony Cooper, Antony J. Hodgson, Rafeef Garbi)....Pages 365-373
 Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural Network  (Sitong Wu, Zhifan Gao, Zhi Liu, Jianwen Luo, Heye Zhang, Shuo Li)....Pages 374-382
 3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative Networks  (Juan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gomez, Matthew Sinclair, Jacqueline Matthew et al.)....Pages 383-391
 Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation Network  (Yuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair et al.)....Pages 392-400
 Towards Radiotherapy Enhancement and Real Time Tumor Radiation Dosimetry Through 3D Imaging of Gold Nanoparticles Using XFCT  (Caroline Vienne, Adrien Stolidi, Hermine Lemaire, Daniel Maier, Diana Renaud, Romain Grall et al.)....Pages 401-409
 Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRI  (Yongqin Zhang, Jie-Zhi Cheng, Lei Xiang, Pew-Thian Yap, Dinggang Shen)....Pages 410-417
Front Matter ....Pages 419-419
 Concurrent Spatial and Channel ‘Squeeze & Excitation’ in Fully Convolutional Networks  (Abhijit Guha Roy, Nassir Navab, Christian Wachinger)....Pages 421-429
 SPNet: Shape Prediction Using a Fully Convolutional Neural Network  (S. M. Masudur Rahman Al Arif, Karen Knapp, Greg Slabaugh)....Pages 430-439
 Roto-Translation Covariant Convolutional Networks for Medical Image Analysis  (Erik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits)....Pages 440-448
 Bimodal Network Architectures for Automatic Generation of Image Annotation from Text  (Mehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer Syeda-Mahmood)....Pages 449-456
 Multimodal Recurrent Model with Attention for Automated Radiology Report Generation  (Yuan Xue, Tao Xu, L. Rodney Long, Zhiyun Xue, Sameer Antani, George R. Thoma et al.)....Pages 457-466
 Magnetic Resonance Spectroscopy Quantification Using Deep Learning  (Nima Hatami, Michaël Sdika, Hélène Ratiney)....Pages 467-475
 A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols  (Neerav Karani, Krishna Chaitanya, Christian Baumgartner, Ender Konukoglu)....Pages 476-484
 Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations  (Guannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu)....Pages 485-492
 Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial Examples  (Magdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab)....Pages 493-501
 Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a Vector  (Sumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank Sciurba, Barnabas Poczos, Kayhan N. Batmanghelich)....Pages 502-510
 3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion Detection  (Ke Yan, Mohammadhadi Bagheri, Ronald M. Summers)....Pages 511-519
 Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks  (Hyo-Eun Kim, Seungwook Kim, Jaehwan Lee)....Pages 520-528
 Distribution Matching Losses Can Hallucinate Features in Medical Image Translation  (Joseph Paul Cohen, Margaux Luck, Sina Honari)....Pages 529-536
 Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient Generation  (Jialei Chen, Yujia Xie, Kan Wang, Zih Huei Wang, Geet Lahoti, Chuck Zhang et al.)....Pages 537-545
 Training Medical Image Analysis Systems like Radiologists   (Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro)....Pages 546-554
 Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer’s Disease  (Lodewijk Brand, Hua Wang, Heng Huang, Shannon Risacher, Andrew Saykin, Li Shen et al.)....Pages 555-562
 Fast Multiple Landmark Localisation Using a Patch-Based Iterative Network  (Yuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew et al.)....Pages 563-571
 Omni-Supervised Learning: Scaling Up to Large Unlabelled Medical Datasets  (Ruobing Huang, J. Alison Noble, Ana I. L. Namburete)....Pages 572-580
 Recurrent Neural Networks for Classifying Human Embryonic Stem Cell-Derived Cardiomyocytes  (Carolina Pacheco, René Vidal)....Pages 581-589
 Group-Driven Reinforcement Learning for Personalized mHealth Intervention  (Feiyun Zhu, Jun Guo, Zheng Xu, Peng Liao, Liu Yang, Junzhou Huang)....Pages 590-598
 Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain Multiplexes   (Rory Raeper, Anna Lisowska, Islem Rekik, The Alzheimer’s Disease Neuroimaging Initiative)....Pages 599-607
Front Matter ....Pages 609-609
 FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis  (Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang)....Pages 611-619
 Order-Sensitive Deep Hashing for Multimorbidity Medical Image Retrieval  (Zhixiang Chen, Ruojin Cai, Jiwen Lu, Jianjiang Feng, Jie Zhou)....Pages 620-628
 Exact Combinatorial Inference for Brain Images  (Moo K. Chung, Zhan Luo, Alex D. Leow, Andrew L. Alexander, Richard J. Davidson, H. Hill Goldsmith)....Pages 629-637
 Statistical Inference with Ensemble of Clustered Desparsified Lasso  (Jérôme-Alexis Chevalier, Joseph Salmon, Bertrand Thirion)....Pages 638-646
 Low-Rank Representation for Multi-center Autism Spectrum Disorder Identification  (Mingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu)....Pages 647-654
 Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and Segmentation  (Tanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel)....Pages 655-663
 Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo Sampling  (Abhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger)....Pages 664-672
 Perfect MCMC Sampling in Bayesian MRFs for Uncertainty Estimation in Segmentation  (Saurabh Garg, Suyash P. Awate)....Pages 673-681
 On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation  (Alain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest et al.)....Pages 682-690
 Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions  (Zach Eaton-Rosen, Felix Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso)....Pages 691-699
Front Matter ....Pages 701-701
 Registration-Based Patient-Specific Musculoskeletal Modeling Using High Fidelity Cadaveric Template Model  (Yoshito Otake, Masaki Takao, Norio Fukuda, Shu Takagi, Naoto Yamamura, Nobuhiko Sugano et al.)....Pages 703-710
 Atlas Propagation Through Template Selection  (Hongzhi Wang, Rui Zhang)....Pages 711-719
 Spatio-Temporal Atlas of Bone Mineral Density Ageing  (Mohsen Farzi, Jose M. Pozo, Eugene McCloskey, Richard Eastell, J. Mark Wilkinson, Alejandro F. Frangi)....Pages 720-728
 Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration  (Adrian V. Dalca, Guha Balakrishnan, John Guttag, Mert R. Sabuncu)....Pages 729-738
 Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based Registration  (Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen)....Pages 739-746
 Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real Surgeries  (Sandy Engelhardt, Raffaele De Simone, Peter M. Full, Matthias Karck, Ivo Wolf)....Pages 747-755
 Computing CNN Loss and Gradients for Pose Estimation with Riemannian Geometry  (Benjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven McDonagh et al.)....Pages 756-764
 GDL-FIRE\(^\text {4D}\): Deep Learning-Based Fast 4D CT Image Registration  (Thilo Sentker, Frederic Madesta, René Werner)....Pages 765-773
 Adversarial Deformation Regularization for Training Image Registration Neural Networks  (Yipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton et al.)....Pages 774-782
 Fast Registration by Boundary Sampling and Linear Programming  (Jan Kybic, Jiří Borovec)....Pages 783-791
 Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis  (Nikolas Hesse, Sergi Pujades, Javier Romero, Michael J. Black, Christoph Bodensteiner, Michael Arens et al.)....Pages 792-800
 Consistent Correspondence of Cone-Beam CT Images Using Volume Functional Maps  (Yungeng Zhang, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha)....Pages 801-809
 Elastic Registration of Geodesic Vascular Graphs  (Stefano Moriconi, Maria A. Zuluaga, H. Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso)....Pages 810-818
 Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set Shrinkage  (Pei Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen)....Pages 819-826
 Initialize Globally Before Acting Locally: Enabling Landmark-Free 3D US to MRI Registration  (Julia Rackerseder, Maximilian Baust, Rüdiger Göbl, Nassir Navab, Christoph Hennersperger)....Pages 827-835
 Solving the Cross-Subject Parcel Matching Problem Using Optimal Transport  (Guillermo Gallardo, Nathalie T. H. Gayraud, Rachid Deriche, Maureen Clerc, Samuel Deslauriers-Gauthier, Demian Wassermann)....Pages 836-843
 GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal Transport  (Rena Elkin, Saad Nadeem, Eldad Haber, Klara Steklova, Hedok Lee, Helene Benveniste et al.)....Pages 844-852
 Hierarchical Spherical Deformation for Shape Correspondence  (Ilwoo Lyu, Martin A. Styner, Bennett A. Landman)....Pages 853-861
 Diffeomorphic Brain Shape Modelling Using Gauss-Newton Optimisation  (Yaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner)....Pages 862-870
 Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention Maps  (Yifan Cai, Harshita Sharma, Pierre Chatelain, J. Alison Noble)....Pages 871-879
 Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification  (Jian Wang, William M. Wells III, Polina Golland, Miaomiao Zhang)....Pages 880-888
Back Matter ....Pages 889-894