Table of Contents

• Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the EarJianing Wang, Yiyuan Zhao, Jack H. Noble, Benoit M. Dawant. 3-11 [doi]
• Neural Network Evolution Using Expedited Genetic Algorithm for Medical Image DenoisingPeng Liu, Yangjunyi Li, Mohammad D. El Basha, Ruogu Fang. 12-20 [doi]
• Deep Convolutional Filtering for Spatio-Temporal Denoising and Artifact Removal in Arterial Spin Labelling MRIDavid Owen 0001, Andrew Melbourne, Zach Eaton-Rosen, David L. Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin. 21-29 [doi]
• DeepASL: Kinetic Model Incorporated Loss for Denoising Arterial Spin Labeled MRI via Deep Residual LearningCagdas Ulas, Giles Tetteh, Stephan Kaczmarz, Christine Preibisch, Bjoern H. Menze. 30-38 [doi]
• Direct Estimation of Pharmacokinetic Parameters from DCE-MRI Using Deep CNN with Forward Physical Model LossCagdas Ulas, Giles Tetteh, Michael J. Thrippleton, Paul A. Armitage, Stephen D. Makin, Joanna M. Wardlaw, Mike E. Davies, Bjoern H. Menze. 39-47 [doi]
• Short Acquisition Time PET/MR Pharmacokinetic Modelling Using CNNsCatherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Kerstin Kläser, Andrew Melbourne, Pawel J. Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin. 48-56 [doi]
• Can Deep Learning Relax Endomicroscopy Hardware Miniaturization Requirements?Saeed Izadi, Kathleen P. Moriarty, Ghassan Hamarneh. 57-64 [doi]
• A Framework to Objectively Identify Reference Regions for Normalizing Quantitative ImagingAmir Fazlollahi, Scott Ayton, Pierrick Bourgeat, Ibrahima Diouf, Parnesh Raniga, Jurgen Fripp, James Doecke, David Ames, Colin L. Masters, Christopher C. Rowe, Victor L. Villemagne, Ashley I. Bush, Olivier Salvado. 65-72 [doi]
• Evaluation of Adjoint Methods in Photoacoustic Tomography with Under-Sampled SensorsHongxiang Lin, Takashi Azuma, Mehmet Burcin Unlu, Shu Takagi. 73-81 [doi]
• A No-Reference Quality Metric for Retinal Vessel Tree SegmentationAdrian Galdran, Pedro Costa 0005, Alessandro Bria, Teresa Araújo, Ana Maria Mendonça, Aurélio Campilho. 82-90 [doi]
• Efficient and Accurate MRI Super-Resolution Using a Generative Adversarial Network and 3D Multi-level Densely Connected NetworkYuhua Chen, Feng Shi, Anthony G. Christodoulou, Yibin Xie, Zhengwei Zhou, Debiao Li. 91-99 [doi]
• A Deep Learning Based Anti-aliasing Self Super-Resolution Algorithm for MRICan Zhao, Aaron Carass, Blake E. Dewey, Jonghye Woo, Jiwon Oh, Peter A. Calabresi, Daniel S. Reich, Pascal Sati, Dzung L. Pham, Jerry L. Prince. 100-108 [doi]
• Gradient Profile Based Super Resolution of MR Images with Induced SparsityPrabhjot Kaur, Anil Kumar Sao. 109-117 [doi]
• Deeper Image Quality Transfer: Training Low-Memory Neural Networks for 3D ImagesStefano B. Blumberg, Ryutaro Tanno, Iasonas Kokkinos, Daniel C. Alexander. 118-125 [doi]
• High Frame-Rate Cardiac Ultrasound Imaging with Deep LearningOrtal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim. 126-134 [doi]
• Phase-Sensitive Region-of-Interest Computed TomographyLina Felsner, Martin Berger, Sebastian Kaeppler, Johannes Bopp, Veronika Ludwig, Thomas Weber 0001, Georg Pelzer, Thilo Michel, Andreas K. Maier, Gisela Anton, Christian Riess. 137-144 [doi]
• Some Investigations on Robustness of Deep Learning in Limited Angle TomographyYixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier. 145-153 [doi]
• Adversarial Sparse-View CBCT Artifact ReductionHaofu Liao, Zhimin Huo, William J. Sehnert, Shaohua Kevin Zhou, Jiebo Luo. 154-162 [doi]
• Nasal Mesh Unfolding - An Approach to Obtaining 2-D Skin Templates from 3-D Nose ModelsHongying Li, Marc C. Robini, Zhongwei Zhou, Wei Tang, Yuemin Zhu. 163-170 [doi]
• Towards Generating Personalized Volumetric Phantom from Patient's Surface GeometryYifan Wu, Vivek Singh, Brian Teixeira, Kai Ma, Birgi Tamersoy, Andreas Krauss, Terrence Chen. 171-179 [doi]
• Multi-channel Generative Adversarial Network for Parallel Magnetic Resonance Image Reconstruction in K-spacePengyue Zhang, Fusheng Wang, Wei Xu, Yu Li. 180-188 [doi]
• A Learning-Based Metal Artifacts Correction Method for MRI Using Dual-Polarity Readout Gradients and Simulated DataKinam Kwon, Dongchan Kim, HyunWook Park. 189-197 [doi]
• Motion Aware MR Imaging via Spatial Core CorrespondenceChristoph Jud, Damien Nguyen, Robin Sandkühler, Alina Giger, Oliver Bieri, Philippe C. Cattin. 198-205 [doi]
• Nonparametric Density Flows for MRI Intensity NormalisationDaniel C. Castro, Ben Glocker. 206-214 [doi]
• Ultra-Fast T2-Weighted MR Reconstruction Using Complementary T1-Weighted InformationLei Xiang, Yong Chen, Weitang Chang, Yiqiang Zhan, Weili Lin, Qian Wang, Dinggang Shen. 215-223 [doi]
• Image Reconstruction by Splitting Deep Learning Regularization from Iterative InversionJiulong Liu, Tao Kuang, Xiaoqun Zhang. 224-231 [doi]
• Adversarial and Perceptual Refinement for Compressed Sensing MRI ReconstructionMaximilian Seitzer, Guang Yang, Jo Schlemper, Ozan Oktay, Tobias Würfl, Vincent Christlein, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Daniel Rueckert, Andreas K. Maier. 232-240 [doi]
• Translation of 1D Inverse Fourier Transform of K-space to an Image Based on Deep Learning for Accelerating Magnetic Resonance ImagingTaejoon Eo, Hyungseob Shin, Taeseong Kim, Yohan Jun, Dosik Hwang. 241-249 [doi]
• Deep Learning Using K-Space Based Data Augmentation for Automated Cardiac MR Motion Artefact DetectionIlkay Öksüz, Bram Ruijsink, Esther Puyol-Antón, Aurélien Bustin, Gastao Cruz, Claudia Prieto, Daniel Rueckert, Julia A. Schnabel, Andrew P. King. 250-258 [doi]
• Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation LearningJo Schlemper, Ozan Oktay, Wenjia Bai, Daniel C. Castro, Jinming Duan, Chen Qin, Joseph V. Hajnal, Daniel Rueckert. 259-267 [doi]
• A Comprehensive Approach for Learning-Based Fully-Automated Inter-slice Motion Correction for Short-Axis Cine Cardiac MR Image StacksGiacomo Tarroni, Ozan Oktay, Matthew Sinclair, Wenjia Bai, Andreas Schuh, Hideaki Suzuki, Antonio de Marvao, Declan P. O'Regan, Stuart A. Cook, Daniel Rueckert. 268-276 [doi]
• Automatic View Planning with Multi-scale Deep Reinforcement Learning AgentsAmir Alansary, Loïc Le Folgoc, Ghislain Vaillant, Ozan Oktay, Yuanwei Li, Wenjia Bai, Jonathan Passerat-Palmbach, Ricardo Guerrero, Konstantinos Kamnitsas, Benjamin Hou, Steven G. McDonagh, Ben Glocker, Bernhard Kainz, Daniel Rueckert. 277-285 [doi]
• Towards MR-Only Radiotherapy Treatment Planning: Synthetic CT Generation Using Multi-view Deep Convolutional Neural NetworksYu Zhao, Shu Liao, Yimo Guo, Liang Zhao, Zhennan Yan, Sungmin Hong, Gerardo Hermosillo, Tianming Liu, Xiang Sean Zhou, Yiqiang Zhan. 286-294 [doi]
• Stochastic Deep Compressive Sensing for the Reconstruction of Diffusion Tensor Cardiac MRIJo Schlemper, Guang Yang, Pedro Ferreira, Andrew Scott, Laura-Ann McGill, Zohya Khalique, Margarita Gorodezky, Malte Roehl, Jennifer Keegan, Dudley Pennell, David N. Firmin, Daniel Rueckert. 295-303 [doi]
• Automatic, Fast and Robust Characterization of Noise Distributions for Diffusion MRISamuel St-Jean, Alberto De Luca, Max A. Viergever, Alexander Leemans. 304-312 [doi]
• An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRIMichael Ebner, Guotai Wang, Wenqi Li, Michael Aertsen, Premal A. Patel, Rosalind Aughwane, Andrew Melbourne, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren. 313-320 [doi]
• Retinal Image Understanding Emerges from Self-Supervised Multimodal ReconstructionÁlvaro S. Hervella, José Rouco, Jorge Novo, Marcos Ortega. 321-328 [doi]
• Locality Adaptive Multi-modality GANs for High-Quality PET Image SynthesisYan Wang, Luping Zhou, Lei Wang 0001, Biting Yu, Chen Zu, David S. Lalush, Weili Lin, Xi Wu 0004, Jiliu Zhou, Dinggang Shen. 329-337 [doi]
• Joint PET+MRI Patch-Based Dictionary for Bayesian Random Field PET ReconstructionViswanath P. Sudarshan, Zhaolin Chen, Suyash P. Awate. 338-346 [doi]
• Analysis of 3D Facial Dysmorphology in Genetic Syndromes from Unconstrained 2D PhotographsLiyun Tu, Antonio R. Porras, Alec Boyle, Marius George Linguraru. 347-355 [doi]
• Double Your Views - Exploiting Symmetry in Transmission ImagingAlexander Preuhs, Andreas K. Maier, Michael Manhart, Javad Fotouhi, Nassir Navab, Mathias Unberath. 356-364 [doi]
• Real Time RNN Based 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the HipOlivia Paserin, Kishore Mulpuri, Anthony Cooper, Antony J. Hodgson, Rafeef Garbi. 365-373 [doi]
• Direct Reconstruction of Ultrasound Elastography Using an End-to-End Deep Neural NetworkSitong Wu, Zhifan Gao, Zhi Liu, Jianwen Luo, Heye Zhang, Shuo Li 0001. 374-382 [doi]
• 3D Fetal Skull Reconstruction from 2DUS via Deep Conditional Generative NetworksJuan J. Cerrolaza, Yuanwei Li, Carlo Biffi, Alberto Gómez, Matthew Sinclair, Jacqueline Matthew, Caronline Knight, Bernhard Kainz, Daniel Rueckert. 383-391 [doi]
• Standard Plane Detection in 3D Fetal Ultrasound Using an Iterative Transformation NetworkYuanwei Li, Bishesh Khanal, Benjamin Hou, Amir Alansary, Juan J. Cerrolaza, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert. 392-400 [doi]
• Towards Radiotherapy Enhancement and Real Time Tumor Radiation Dosimetry Through 3D Imaging of Gold Nanoparticles Using XFCTCaroline Vienne, Adrien Stolidi, Hermine Lemaire, Daniel Maier, Diana Renaud, Romain Grall, Sylvie Chevillard, Emilie Brun, Cécile Sicard, Olivier Limousin. 401-409 [doi]
• Dual-Domain Cascaded Regression for Synthesizing 7T from 3T MRIYongqin Zhang, Jie-Zhi Cheng, Lei Xiang, Pew-Thian Yap, Dinggang Shen. 410-417 [doi]
• Concurrent Spatial and Channel 'Squeeze & Excitation' in Fully Convolutional NetworksAbhijit Guha Roy, Nassir Navab, Christian Wachinger. 421-429 [doi]
• SPNet: Shape Prediction Using a Fully Convolutional Neural NetworkS. M. Masudur Rahman Al-Arif, Karen Knapp, Greg G. Slabaugh. 430-439 [doi]
• Roto-Translation Covariant Convolutional Networks for Medical Image AnalysisErik J. Bekkers, Maxime W. Lafarge, Mitko Veta, Koen A. J. Eppenhof, Josien P. W. Pluim, Remco Duits. 440-448 [doi]
• Bimodal Network Architectures for Automatic Generation of Image Annotation from TextMehdi Moradi, Ali Madani, Yaniv Gur, Yufan Guo, Tanveer F. Syeda-Mahmood. 449-456 [doi]
• Multimodal Recurrent Model with Attention for Automated Radiology Report GenerationYuan Xue, Tao Xu, L. Rodney Long, Zhiyun Xue, Sameer K. Antani, George R. Thoma, Xiaolei Huang. 457-466 [doi]
• Magnetic Resonance Spectroscopy Quantification Using Deep LearningNima Hatami, Michaël Sdika, Hélène Ratiney. 467-475 [doi]
• A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and ProtocolsNeerav Karani, Krishna Chaitanya, Christian F. Baumgartner, Ender Konukoglu. 476-484 [doi]
• Respond-CAM: Analyzing Deep Models for 3D Imaging Data by VisualizationsGuannan Zhao, Bo Zhou, Kaiwen Wang, Rui Jiang, Min Xu. 485-492 [doi]
• Generalizability vs. Robustness: Investigating Medical Imaging Networks Using Adversarial ExamplesMagdalini Paschali, Sailesh Conjeti, Fernando Navarro, Nassir Navab. 493-501 [doi]
• Subject2Vec: Generative-Discriminative Approach from a Set of Image Patches to a VectorSumedha Singla, Mingming Gong, Siamak Ravanbakhsh, Frank C. Sciurba, Barnabás Póczos, Kayhan N. Batmanghelich. 502-510 [doi]
• 3D Context Enhanced Region-Based Convolutional Neural Network for End-to-End Lesion DetectionKe Yan, Mohammadhadi Bagheri, Ronald M. Summers. 511-519 [doi]
• Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural NetworksHyo-Eun Kim, Seungwook Kim, Jaehwan Lee. 520-528 [doi]
• Distribution Matching Losses Can Hallucinate Features in Medical Image TranslationJoseph Paul Cohen, Margaux Luck, Sina Honari. 529-536 [doi]
• Generative Invertible Networks (GIN): Pathophysiology-Interpretable Feature Mapping and Virtual Patient GenerationJialei Chen, Yujia Xie, Kan (Kevin) Wang, Zih Huei Wang, Geet Lahoti, Chuck Zhang, Mani A. Vannan, Ben Wang, Zhen Qian. 537-545 [doi]
• Training Medical Image Analysis Systems like RadiologistsGabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian D. Reid 0001, Gustavo Carneiro. 546-554 [doi]
• Joint High-Order Multi-Task Feature Learning to Predict the Progression of Alzheimer's DiseaseLodewijk Brand, Hua Wang, Heng Huang, Shannon L. Risacher, Andrew J. Saykin, Li Shen 0001. 555-562 [doi]
• Fast Multiple Landmark Localisation Using a Patch-Based Iterative NetworkYuanwei Li, Amir Alansary, Juan J. Cerrolaza, Bishesh Khanal, Matthew Sinclair, Jacqueline Matthew, Chandni Gupta, Caroline L. Knight, Bernhard Kainz, Daniel Rueckert. 563-571 [doi]
• Omni-Supervised Learning: Scaling Up to Large Unlabelled Medical DatasetsRuobing Huang, J. Alison Noble, Ana I. L. Namburete. 572-580 [doi]
• Recurrent Neural Networks for Classifying Human Embryonic Stem Cell-Derived CardiomyocytesCarolina Pacheco, René Vidal. 581-589 [doi]
• Group-Driven Reinforcement Learning for Personalized mHealth InterventionFeiyun Zhu, Jun Guo, Zheng Xu 0005, Peng Liao, Liu Yang, JunZhou Huang. 590-598 [doi]
• Joint Correlational and Discriminative Ensemble Classifier Learning for Dementia Stratification Using Shallow Brain MultiplexesRory Raeper, Anna Lisowska, Islem Rekik. 599-607 [doi]
• FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage AnalysisXinwei Sun 0001, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang. 611-619 [doi]
• Order-Sensitive Deep Hashing for Multimorbidity Medical Image RetrievalZhixiang Chen, Ruojin Cai, Jiwen Lu, Jianjiang Feng, Jie Zhou 0001. 620-628 [doi]
• Exact Combinatorial Inference for Brain ImagesMoo K. Chung, Zhan Luo, Alex D. Leow, Andrew L. Alexander, Richard J. Davidson, H. Hill Goldsmith. 629-637 [doi]
• Statistical Inference with Ensemble of Clustered Desparsified LassoJérôme-Alexis Chevalier, Joseph Salmon, Bertrand Thirion. 638-646 [doi]
• Low-Rank Representation for Multi-center Autism Spectrum Disorder IdentificationMingliang Wang, Daoqiang Zhang, Jiashuang Huang, Dinggang Shen, Mingxia Liu. 647-654 [doi]
• Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and SegmentationTanya Nair, Doina Precup, Douglas L. Arnold, Tal Arbel. 655-663 [doi]
• Inherent Brain Segmentation Quality Control from Fully ConvNet Monte Carlo SamplingAbhijit Guha Roy, Sailesh Conjeti, Nassir Navab, Christian Wachinger. 664-672 [doi]
• Perfect MCMC Sampling in Bayesian MRFs for Uncertainty Estimation in SegmentationSaurabh Garg, Suyash P. Awate. 673-681 [doi]
• On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image SegmentationAlain Jungo, Raphael Meier, Ekin Ermis, Marcela Blatti-Moreno, Evelyn Herrmann, Roland Wiest, Mauricio Reyes 0001. 682-690 [doi]
• Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network PredictionsZach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso. 691-699 [doi]
• Registration-Based Patient-Specific Musculoskeletal Modeling Using High Fidelity Cadaveric Template ModelYoshito Otake, Masaki Takao, Norio Fukuda, Shu Takagi, Naoto Yamamura, Nobuhiko Sugano, Yoshinobu Sato. 703-710 [doi]
• Atlas Propagation Through Template SelectionHongzhi Wang, Rui Zhang. 711-719 [doi]
• Spatio-Temporal Atlas of Bone Mineral Density AgeingMohsen Farzi, Jose M. Pozo, Eugene V. McCloskey, Richard Eastell, J. Mark Wilkinson, Alejandro F. Frangi. 720-728 [doi]
• Unsupervised Learning for Fast Probabilistic Diffeomorphic RegistrationAdrian V. Dalca, Guha Balakrishnan, John V. Guttag, Mert R. Sabuncu. 729-738 [doi]
• Adversarial Similarity Network for Evaluating Image Alignment in Deep Learning Based RegistrationJingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen. 739-746 [doi]
• Improving Surgical Training Phantoms by Hyperrealism: Deep Unpaired Image-to-Image Translation from Real SurgeriesSandy Engelhardt, Raffaele De Simone, Peter M. Full, Matthias Karck, Ivo Wolf. 747-755 [doi]
• Computing CNN Loss and Gradients for Pose Estimation with Riemannian GeometryBenjamin Hou, Nina Miolane, Bishesh Khanal, Matthew C. H. Lee, Amir Alansary, Steven G. McDonagh, Joseph V. Hajnal, Daniel Rueckert, Ben Glocker, Bernhard Kainz. 756-764 [doi]
• GDL-FIRE ^\text 4D : Deep Learning-Based Fast 4D CT Image RegistrationThilo Sentker, Frederic Madesta, René Werner. 765-773 [doi]
• Adversarial Deformation Regularization for Training Image Registration Neural NetworksYipeng Hu, Eli Gibson, Nooshin Ghavami, Ester Bonmati, Caroline M. Moore, Mark Emberton, Tom Vercauteren, J. Alison Noble, Dean C. Barratt. 774-782 [doi]
• Fast Registration by Boundary Sampling and Linear ProgrammingJan Kybic, Jirí Borovec. 783-791 [doi]
• Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion AnalysisNikolas Hesse, Sergi Pujades, Javier Romero 0002, Michael J. Black, Christoph Bodensteiner, Michael Arens, Ulrich G. Hofmann, Uta Tacke, Mijna Hadders-Algra, Raphael Weinberger, Wolfgang Müller-Felber, A. Sebastian Schroeder. 792-800 [doi]
• Consistent Correspondence of Cone-Beam CT Images Using Volume Functional MapsYungeng Zhang, Yuru Pei, Yuke Guo, Gengyu Ma, Tianmin Xu, Hongbin Zha. 801-809 [doi]
• Elastic Registration of Geodesic Vascular GraphsStefano Moriconi, Maria A. Zuluaga, H. Rolf Jäger, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso. 810-818 [doi]
• Efficient Groupwise Registration of MR Brain Images via Hierarchical Graph Set ShrinkagePei-Dong, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen. 819-826 [doi]
• Initialize Globally Before Acting Locally: Enabling Landmark-Free 3D US to MRI RegistrationJulia Rackerseder, Maximilian Baust, Rüdiger Göbl, Nassir Navab, Christoph Hennersperger. 827-835 [doi]
• Solving the Cross-Subject Parcel Matching Problem Using Optimal TransportGuillermo Gallardo, Nathalie T. H. Gayraud, Rachid Deriche, Maureen Clerc, Samuel Deslauriers-Gauthier, Demian Wassermann. 836-843 [doi]
• GlymphVIS: Visualizing Glymphatic Transport Pathways Using Regularized Optimal TransportRena Elkin, Saad Nadeem, Eldad Haber, Klara Steklova, Hedok Lee, Helene Benveniste, Allen R. Tannenbaum. 844-852 [doi]
• Hierarchical Spherical Deformation for Shape CorrespondenceIlwoo Lyu, Martin A. Styner, Bennett A. Landman. 853-861 [doi]
• Diffeomorphic Brain Shape Modelling Using Gauss-Newton OptimisationYaël Balbastre, Mikael Brudfors, Kevin Bronik, John Ashburner. 862-870 [doi]
• Multi-task SonoEyeNet: Detection of Fetal Standardized Planes Assisted by Generated Sonographer Attention MapsYifan Cai, Harshita Sharma, Pierre Chatelain, J. Alison Noble. 871-879 [doi]
• Efficient Laplace Approximation for Bayesian Registration Uncertainty QuantificationJian Wang, William M. Wells III, Polina Golland, Miaomiao Zhang. 880-888 [doi]