Table of Contents

• A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal InjectionsAndrea Mendizabal, Tatiana Fountoukidou, Jan Hermann, Raphael Sznitman, Stephane Cotin. 12-20 [doi]
• Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided BiopsyShekoofeh Azizi, Pingkun Yan, Amir M. Tahmasebi, Peter A. Pinto, Bradford J. Wood, Jin Tae Kwak, Sheng Xu 0001, Baris Turkbey, Peter L. Choyke, Parvin Mousavi, Purang Abolmaesumi. 21-29 [doi]
• A Feature-Driven Active Framework for Ultrasound-Based Brain Shift CompensationJie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III. 30-38 [doi]
• Soft-Body Registration of Pre-operative 3D Models to Intra-operative RGBD Partial Body ScansRichard Modrzejewski, Toby Collins, Adrien Bartoli, Alexandre Hostettler, Jacques Marescaux. 39-46 [doi]
• Automatic Classification of Cochlear Implant Electrode Cavity PositioningJack H. Noble, Robert F. Labadie, Benoit M. Dawant. 47-54 [doi]
• X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma SurgeryBastian Bier, Mathias Unberath, Jan-Nico Zaech, Javad Fotouhi, Mehran Armand, Greg Osgood, Nassir Navab, Andreas K. Maier. 55-63 [doi]
• Endoscopic Navigation in the Absence of CT ImagingAyushi Sinha, Xingtong Liu, Austin Reiter, Masaru Ishii, Gregory D. Hager, Russell H. Taylor. 64-71 [doi]
• A Novel Mixed Reality Navigation System for Laparoscopy SurgeryJagadeesan Jayender, Brian Xavier, Franklin King, Ahmed Hosny, David Black, Steve Pieper, Ali Tavakkoli. 72-80 [doi]
• Respiratory Motion Modelling Using cGANsAlina Giger, Robin Sandkühler, Christoph Jud, Grzegorz Bauman, Oliver Bieri, Rares Salomir, Philippe C. Cattin. 81-88 [doi]
• Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation: An MRI ValidationChloé Audigier, Younsu Kim, Nicholas Ellens, Emad M. Boctor. 89-97 [doi]
• DeepDRR - A Catalyst for Machine Learning in Fluoroscopy-Guided ProceduresMathias Unberath, Jan-Nico Zaech, Sing Chun Lee, Bastian Bier, Javad Fotouhi, Mehran Armand, Nassir Navab. 98-106 [doi]
• Exploiting Partial Structural Symmetry for Patient-Specific Image Augmentation in Trauma InterventionsJavad Fotouhi, Mathias Unberath, Giacomo Taylor, Arash Ghaani Farashahi, Bastian Bier, Russell H. Taylor, Greg Osgood, Mehran Armand, Nassir Navab. 107-115 [doi]
• Intraoperative Brain Shift Compensation Using a Hybrid Mixture ModelSiming Bayer, Nishant Ravikumar, Maddalena Strumia, Xiaoguang Tong, Ying Gao, Martin Ostermeier, Rebecca Fahrig, Andreas K. Maier. 116-124 [doi]
• Video-Based Computer Aided Arthroscopy for Patient Specific Reconstruction of the Anterior Cruciate LigamentCarolina Raposo, Cristóvão Sousa, Luis Ribeiro 0003, Rui Melo, João Pedro Barreto 0001, João Oliveira, Pedro Marques, Fernando Fonseca. 125-133 [doi]
• Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNNPuyang Wang, Vishal M. Patel, Ilker Hacihaliloglu. 134-142 [doi]
• Deep Adversarial Context-Aware Landmark Detection for Ultrasound ImagingAhmet Tuysuzoglu, Jeremy Tan, Kareem Eissa, Atilla P. Kiraly, Mamadou Diallo, Ali Kamen. 151-158 [doi]
• Towards a Fast and Safe LED-Based Photoacoustic Imaging Using Deep Convolutional Neural NetworkEmran Mohammad Abu Anas, Haichong K. Zhang, Jin Kang, Emad M. Boctor. 159-167 [doi]
• An Open Framework Enabling Electromagnetic Tracking in Image-Guided InterventionsHerman Alexander Jaeger, Stephen Hinds, Pádraig Cantillon-Murphy. 168-175 [doi]
• Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural NetworksMasahiro Oda, Holger R. Roth, Takayuki Kitasaka, Kazuhiro Furukawa, Ryoji Miyahara, Yoshiki Hirooka, Hidemi Goto, Nassir Navab, Kensaku Mori. 176-184 [doi]
• Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised FrameworkZhongyi Han, Benzheng Wei, Stephanie Leung, Jonathan Chung, Shuo Li 0001. 185-193 [doi]
• A Natural Language Interface for Dissemination of Reproducible Biomedical Data ScienceRogers Jeffrey Leo John, Jignesh M. Patel, Andrew L. Alexander, Vikas Singh, Nagesh Adluru. 197-205 [doi]
• Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic ScoliosisWilliam Mandel, Olivier Turcot, Dejan Knez, Stefan Parent, Samuel Kadoury. 206-213 [doi]
• Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural NetworksHassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller. 214-221 [doi]
• Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN ArchitectureNils Gessert, Torben Priegnitz, Thore Saathoff, Sven-Thomas Antoni, David Meyer, Moritz Franz Hamann, Klaus-Peter Jünemann, Christoph Otte, Alexander Schlaefer. 222-229 [doi]
• Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation SimulationEhsan Golkar, Pramod P. Rao, Leo Joskowicz, Afshin Gangi, Caroline Essert. 230-237 [doi]
• A Machine Learning Approach to Predict Instrument Bending in Stereotactic NeurosurgeryAlejandro Granados, Matteo Mancini, Sjoerd B. Vos, Oeslle Lucena, Vejay Vakharia, Roman Rodionov, Anna Miserocchi, Andrew W. McEvoy, John S. Duncan, Rachel Sparks, Sébastien Ourselin. 238-246 [doi]
• Deep Reinforcement Learning for Surgical Gesture Segmentation and ClassificationDaochang Liu, Tingting Jiang. 247-255 [doi]
• Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural NetworksEvangelos B. Mazomenos, Kamakshi Bansal, Bruce Martin, Andrew Smith, Susan Wright, Danail Stoyanov. 256-264 [doi]
• DeepPhase: Surgical Phase Recognition in CATARACTS VideosOdysseas Zisimopoulos, Evangello Flouty, Imanol Luengo, Petros Giataganas, Jean Nehme, Andre Chow, Danail Stoyanov. 265-272 [doi]
• Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy Using Deep LearningAneeq Zia, Andrew Hung, Irfan A. Essa, Anthony M. Jarc. 273-280 [doi]
• Unsupervised Learning for Surgical Motion by Learning to Predict the FutureRobert S. DiPietro, Gregory D. Hager. 281-288 [doi]
• Volumetric Clipping Surface: Un-occluded Visualization of Structures Preserving Depth Cues into Surrounding OrgansBhavya Ajani, Aditya Bharadwaj, Karthik Krishnan. 291-298 [doi]
• Closing the Calibration Loop: An Inside-Out-Tracking Paradigm for Augmented Reality in Orthopedic SurgeryJonas Hajek, Mathias Unberath, Javad Fotouhi, Bastian Bier, Sing Chun Lee, Greg Osgood, Andreas K. Maier, Mehran Armand, Nassir Navab. 299-306 [doi]
• Higher Order of Motion Magnification for Vessel Localisation in Surgical VideoMirek Janatka, Ashwin Sridhar, John D. Kelly, Danail Stoyanov. 307-314 [doi]
• Real-Time Augmented Reality for Ear SurgeryRaabid Hussain, Alain Lalande, Roberto Marroquin, Kibrom Berihu Girum, Caroline Guigou, Alexis Bozorg Grayeli. 324-331 [doi]
• Esophageal Gross Tumor Volume Segmentation Using a 3D Convolutional Neural NetworkSahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Femke P. Peters, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Marius Staring. 343-351 [doi]
• Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak AnnotationZhuo Zhao, Lin Yang, Hao Zheng, Ian H. Guldner, Siyuan Zhang, Danny Z. Chen. 352-360 [doi]
• Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and ImagesFirat Özdemir, Philipp Fürnstahl, Orçun Göksel. 361-369 [doi]
• ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image SegmentationDong Nie, Yaozong Gao, Li Wang 0026, Dinggang Shen. 370-378 [doi]
• MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution SegmentationMeet P. Shah, S. N. Merchant, Suyash P. Awate. 379-387 [doi]
• How to Exploit Weaknesses in Biomedical Challenge Design and OrganizationAnnika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic, Bennett A. Landman, Oskar Maier, Bjoern H. Menze, Gregory C. Sharp, Korsuk Sirinukunwattana, Stefanie Speidel, Fons van der Sommen, Guoyan Zheng, Henning Müller, Michal Kozubek, Tal Arbel, Andrew P. Bradley, Pierre Jannin, Annette Kopp-Schneider, Lena Maier-Hein. 388-395 [doi]
• Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECISTJinzheng Cai, Youbao Tang, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao, Lin Yang, Ronald M. Summers. 396-404 [doi]
• Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural NetworksYoubao Tang, Adam P. Harrison, Mohammadhadi Bagheri, Jing Xiao, Ronald M. Summers. 405-413 [doi]
• A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ SegmentationHolger R. Roth, Chen Shen, Hirohisa Oda, Takaaki Sugino, Masahiro Oda, Yuichiro Hayashi, Kazunari Misawa, Kensaku Mori. 417-425 [doi]
• 3D U-JAPA-Net: Mixture of Convolutional Networks for Abdominal Multi-organ CT SegmentationHideki Kakeya, Toshiyuki Okada, Yukio Oshiro. 426-433 [doi]
• Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident BoundYan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille. 434-442 [doi]
• Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion NetYingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille. 445-453 [doi]
• Segmentation of Renal Structures for Image-Guided SurgeryJunning Li, Pechin Lo, Ahmed Taha, Hang Wu, Tao Zhao. 454-462 [doi]
• Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-VolumesAhmed Taha, Pechin Lo, Junning Li, Tao Zhao. 463-471 [doi]
• Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular CarcinomaTianyou Dou, Lijuan Zhang, Hairong Zheng, Wu Zhou 0002. 472-479 [doi]
• A Novel Bayesian Model Incorporating Deep Neural Network and Statistical Shape Model for Pancreas SegmentationJingting Ma, Feng Lin, Stefan Wesarg, Marius Erdt. 480-487 [doi]
• Fine-Grained Segmentation Using Hierarchical Dilated Neural NetworksSihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang 0026, Jianping Yin, Dinggang Shen. 488-496 [doi]
• Generalizing Deep Models for Ultrasound Image SegmentationXin Yang 0009, Haoran Dou, Ran Li, Xu Wang, Cheng Bian, Shengli Li, Dong Ni, Pheng-Ann Heng. 497-505 [doi]
• Inter-site Variability in Prostate Segmentation Accuracy Using Deep LearningEli Gibson, Yipeng Hu, Nooshin Ghavami, Hashim Uddin Ahmed, Caroline M. Moore, Mark Emberton, Henkjan J. Huisman, Dean C. Barratt. 506-514 [doi]
• Deep Learning-Based Boundary Detection for Model-Based Segmentation with Application to MR Prostate SegmentationTom Brosch, Jochen Peters, Alexandra Groth, Thomas Stehle, Jürgen Weese. 515-522 [doi]
• Deep Attentional Features for Prostate Segmentation in UltrasoundYi Wang, Zijun Deng, Xiaowei Hu, Lei Zhu 0003, Xin Yang 0009, Xuemiao Xu, Pheng-Ann Heng, Dong Ni. 523-530 [doi]
• Accurate and Robust Segmentation of the Clinical Target Volume for Prostate BrachytherapyDavood Karimi, Qi Zeng, Prateek Mathur, Apeksha Avinash, Sara Mahdavi, Ingrid Spadinger, Purang Abolmaesumi, Septimiu Salcudean. 531-539 [doi]
• Hashing-Based Atlas Ranking and Selection for Multiple-Atlas SegmentationAmin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth Clarkson, Nassir Navab. 543-551 [doi]
• Corners Detection for Bioresorbable Vascular Scaffolds Segmentation in IVOCT ImagesLinlin Yao, Yihui Cao, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li, Rui Zhu 0005. 552-560 [doi]
• The Deep Poincaré Map: A Novel Approach for Left Ventricle SegmentationYuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo. 561-568 [doi]
• Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR ImagesZenglin Shi, Guodong Zeng, Le Zhang, Xiahai Zhuang, Lei Li, Guang Yang, Guoyan Zheng. 569-577 [doi]
• Real-Time Prediction of Segmentation QualityRobert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria, Mihir M. Sanghvi, Nay Aung, José Miguel Paiva, Filip Zemrak, Kenneth Fung, Elena Lukaschuk, Aaron M. Lee, Valentina Carapella, Young-Jin Kim, Bernhard Kainz, Stefan K. Piechnik, Stefan Neubauer, Steffen E. Petersen, Chris Page, Daniel Rueckert, Ben Glocker. 578-585 [doi]
• Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse AnnotationsWenjia Bai, Hideaki Suzuki, Chen Qin, Giacomo Tarroni, Ozan Oktay, Paul M. Matthews, Daniel Rueckert. 586-594 [doi]
• Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary HypertensionJinming Duan, Jo Schlemper, Wenjia Bai, Timothy J. W. Dawes, Ghalib Bello, Georgia Doumou, Antonio M. Simoes Monteiro de Marvao, Declan P. O'Regan, Daniel Rueckert. 595-603 [doi]
• Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate ImagesFuping Wu, Lei Li, Guang Yang, Tom Wong, Raad Mohiaddin, David N. Firmin, Jennifer Keegan, Lingchao Xu, Xiahai Zhuang. 604-612 [doi]
• Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac MotionWenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao. 613-621 [doi]
• VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel DiscriminationSuyu Dong, Gongning Luo, Kuanquan Wang, Shaodong Cao, Ashley Mercado, Olga Shmuilovich, Henggui Zhang, Shuo Li 0001. 622-629 [doi]
• Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D UltrasoundMarkus A. Degel, Nassir Navab, Shadi Albarqouni. 630-637 [doi]
• Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast UltrasoundNa Wang, Cheng Bian, Yi Wang, Min Xu, Chenchen Qin, Xin Yang 0009, Tianfu Wang, Anhua Li, Dinggang Shen, Dong Ni. 641-648 [doi]
• Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine PriorAnjany Sekuboyina, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze. 649-657 [doi]
• AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image SegmentationMaria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, R. Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios. 658-666 [doi]
• CFCM: Segmentation via Coarse to Fine Context MemoryFausto Milletari, Nicola Rieke, Maximilian Baust, Marco Esposito, Nassir Navab. 667-674 [doi]
• Pyramid-Based Fully Convolutional Networks for Cell SegmentationTianyi Zhao, Zhaozheng Yin. 677-685 [doi]
• Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural NetworkErica M. Rutter, John H. Lagergren, Kevin B. Flores. 686-694 [doi]
• RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-NetMo Zhang, Xiang Li, Mengjia Xu, Quanzheng Li. 695-702 [doi]
• Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based ConstraintDongQing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant. 703-711 [doi]
• Automatic Teeth Segmentation in Panoramic X-Ray Images Using a Coupled Shape Model in Combination with a Neural NetworkAndreas Wirtz, Sudesh Ganapati Mirashi, Stefan Wesarg. 712-719 [doi]
• Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial LearningMiaoyun Zhao, Li Wang 0026, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James J. Xia, Dinggang Shen. 720-727 [doi]
• Automatic Skin Lesion Segmentation on Dermoscopic Images by the Means of Superpixel MergingDiego Patiño, Jonathan Avendaño, John Willian Branch. 728-736 [doi]
• Star Shape Prior in Fully Convolutional Networks for Skin Lesion SegmentationZahra Mirikharaji, Ghassan Hamarneh. 737-745 [doi]
• Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound ImagesTejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla, John M. Galeotti. 746-754 [doi]
• Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D VolumesPengyue Zhang, Fusheng Wang, Yefeng Zheng. 755-763 [doi]