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21st MICCAI 2018: Granada, Spain
- Alejandro F. Frangi, Julia A. Schnabel, Christos Davatzikos, Carlos Alberola-López, Gabor Fichtinger:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2018 - 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV. Lecture Notes in Computer Science 11073, Springer 2018, ISBN 978-3-030-00936-6
Computer Assisted Interventions: Image Guided Interventions and Surgery
- Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen, Wenqi Li
, David J. Hawkes, Sébastien Ourselin
Uncertainty in Multitask Learning: Joint Representations for Probabilistic MR-only Radiotherapy Planning. 3-11 - Andrea Mendizabal, Tatiana Fountoukidou, Jan Hermann, Raphael Sznitman, Stephane Cotin:
A Combined Simulation and Machine Learning Approach for Image-Based Force Classification During Robotized Intravitreal Injections. 12-20 - Shekoofeh Azizi
Learning from Noisy Label Statistics: Detecting High Grade Prostate Cancer in Ultrasound Guided Biopsy. 21-29 - Jie 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
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. 30-38 - Richard Modrzejewski, Toby Collins, Adrien Bartoli, Alexandre Hostettler, Jacques Marescaux:
Soft-Body Registration of Pre-operative 3D Models to Intra-operative RGBD Partial Body Scans. 39-46 - Jack H. Noble, Robert F. Labadie, Benoit M. Dawant:
Automatic Classification of Cochlear Implant Electrode Cavity Positioning. 47-54 - Bastian Bier, Mathias Unberath
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery. 55-63 - Ayushi Sinha
Endoscopic Navigation in the Absence of CT Imaging. 64-71 - Jagadeesan Jayender, Brian Arun Xavier
A Novel Mixed Reality Navigation System for Laparoscopy Surgery. 72-80 - Alina Giger
Respiratory Motion Modelling Using cGANs. 81-88 - Chloé Audigier, Younsu Kim, Nicholas Ellens, Emad M. Boctor:
Physics-Based Simulation to Enable Ultrasound Monitoring of HIFU Ablation: An MRI Validation. 89-97 - Mathias Unberath
DeepDRR - A Catalyst for Machine Learning in Fluoroscopy-Guided Procedures. 98-106 - Javad Fotouhi, Mathias Unberath
Exploiting Partial Structural Symmetry for Patient-Specific Image Augmentation in Trauma Interventions. 107-115 - Siming Bayer
Intraoperative Brain Shift Compensation Using a Hybrid Mixture Model. 116-124 - Carolina Raposo
Video-Based Computer Aided Arthroscopy for Patient Specific Reconstruction of the Anterior Cruciate Ligament. 125-133 - Puyang Wang, Vishal M. Patel, Ilker Hacihaliloglu:
Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN. 134-142 - Jordan Geurten, Wenyao Xia, Uditha L. Jayarathne, Terry M. Peters, Elvis C. S. Chen
Endoscopic Laser Surface Scanner for Minimally Invasive Abdominal Surgeries. 143-150 - Ahmet Tuysuzoglu, Jeremy Tan
Deep Adversarial Context-Aware Landmark Detection for Ultrasound Imaging. 151-158 - Emran Mohammad Abu Anas, Haichong K. Zhang, Jin Kang
Towards a Fast and Safe LED-Based Photoacoustic Imaging Using Deep Convolutional Neural Network. 159-167 - Herman Alexander Jaeger
An Open Framework Enabling Electromagnetic Tracking in Image-Guided Interventions. 168-175 - Masahiro Oda
Colon Shape Estimation Method for Colonoscope Tracking Using Recurrent Neural Networks. 176-184 - Zhongyi Han
Towards Automatic Report Generation in Spine Radiology Using Weakly Supervised Framework. 185-193
Computer Assisted Interventions: Surgical Planning, Simulation and Work Flow Analysis
- Rogers Jeffrey Leo John, Jignesh M. Patel, Andrew L. Alexander, Vikas Singh, Nagesh Adluru:
A Natural Language Interface for Dissemination of Reproducible Biomedical Data Science. 197-205 - William Mandel, Olivier Turcot, Dejan Knez, Stefan Parent, Samuel Kadoury:
Spatiotemporal Manifold Prediction Model for Anterior Vertebral Body Growth Modulation Surgery in Idiopathic Scoliosis. 206-213 - Hassan Ismail Fawaz, Germain Forestier
Evaluating Surgical Skills from Kinematic Data Using Convolutional Neural Networks. 214-221 - Nils Gessert
Needle Tip Force Estimation Using an OCT Fiber and a Fused convGRU-CNN Architecture. 222-229 - Ehsan Golkar, Pramod P. Rao, Leo Joskowicz
Fast GPU Computation of 3D Isothermal Volumes in the Vicinity of Major Blood Vessels for Multiprobe Cryoablation Simulation. 230-237 - Alejandro Granados, Matteo Mancini
A Machine Learning Approach to Predict Instrument Bending in Stereotactic Neurosurgery. 238-246 - Daochang Liu
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification. 247-255 - Evangelos B. Mazomenos
Automated Performance Assessment in Transoesophageal Echocardiography with Convolutional Neural Networks. 256-264 - Odysseas Zisimopoulos, Evangello Flouty, Imanol Luengo, Petros Giataganas, Jean Nehme, Andre Chow, Danail Stoyanov
DeepPhase: Surgical Phase Recognition in CATARACTS Videos. 265-272 - Aneeq Zia, Andrew Hung, Irfan A. Essa, Anthony M. Jarc:
Surgical Activity Recognition in Robot-Assisted Radical Prostatectomy Using Deep Learning. 273-280 - Robert S. DiPietro, Gregory D. Hager:
Unsupervised Learning for Surgical Motion by Learning to Predict the Future. 281-288
Computer Assisted Interventions: Visualization and Augmented Reality
- Bhavya Ajani, Aditya Bharadwaj, Karthik Krishnan:
Volumetric Clipping Surface: Un-occluded Visualization of Structures Preserving Depth Cues into Surrounding Organs. 291-298 - Jonas Hajek
Closing the Calibration Loop: An Inside-Out-Tracking Paradigm for Augmented Reality in Orthopedic Surgery. 299-306 - Mirek Janatka, Ashwin Sridhar, John D. Kelly, Danail Stoyanov
Higher Order of Motion Magnification for Vessel Localisation in Surgical Video. 307-314 - Xiongbiao Luo, Ying Wan, Hui-Qing Zeng, Yingying Guo, Henry Chidozie Ewurum, Xiao-Bin Zhang, A. Jonathan McLeod, Terry M. Peters:
Simultaneous Surgical Visibility Assessment, Restoration, and Augmented Stereo Surface Reconstruction for Robotic Prostatectomy. 315-323 - Raabid Hussain, Alain Lalande, Roberto Marroquin, Kibrom Berihu Girum
Real-Time Augmented Reality for Ear Surgery. 324-331 - Christine Tanner, Rastislav Starkov, Michael Bajka, Orcun Goksel
Framework for Fusion of Data- and Model-Based Approaches for Ultrasound Simulation. 332-339
Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications
- Sahar Yousefi, Hessam Sokooti, Mohamed S. Elmahdy, Femke P. Peters, Mohammad T. Manzuri Shalmani, Roel T. Zinkstok, Marius Staring
Esophageal Gross Tumor Volume Segmentation Using a 3D Convolutional Neural Network. 343-351 - Zhuo Zhao, Lin Yang, Hao Zheng
Deep Learning Based Instance Segmentation in 3D Biomedical Images Using Weak Annotation. 352-360 - Firat Özdemir
Learn the New, Keep the Old: Extending Pretrained Models with New Anatomy and Images. 361-369 - Dong Nie, Yaozong Gao, Li Wang
ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. 370-378 - Meet P. Shah, S. N. Merchant, Suyash P. Awate
MS-Net: Mixed-Supervision Fully-Convolutional Networks for Full-Resolution Segmentation. 379-387 - Annika Reinke, Matthias Eisenmann, Sinan Onogur, Marko Stankovic, Patrick Scholz, Peter M. Full, Hrvoje Bogunovic
How to Exploit Weaknesses in Biomedical Challenge Design and Organization. 388-395 - Jinzheng Cai, Youbao Tang, Le Lu
Accurate Weakly-Supervised Deep Lesion Segmentation Using Large-Scale Clinical Annotations: Slice-Propagated 3D Mask Generation from 2D RECIST. 396-404 - Youbao Tang, Adam P. Harrison
Semi-automatic RECIST Labeling on CT Scans with Cascaded Convolutional Neural Networks. 405-413
Image Segmentation Methods: Multi-organ Segmentation
- Holger R. Roth
A Multi-scale Pyramid of 3D Fully Convolutional Networks for Abdominal Multi-organ Segmentation. 417-425 - Hideki Kakeya
3D U-JAPA-Net: Mixture of Convolutional Networks for Abdominal Multi-organ CT Segmentation. 426-433 - Yan Wang, Yuyin Zhou
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. 434-442
Image Segmentation Methods: Abdominal Segmentation Methods
- Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. 445-453 - Junning Li, Pechin Lo, Ahmed Taha
Segmentation of Renal Structures for Image-Guided Surgery. 454-462 - Ahmed Taha
Kid-Net: Convolution Networks for Kidney Vessels Segmentation from CT-Volumes. 463-471 - Tianyou Dou, Lijuan Zhang, Hairong Zheng, Wu Zhou:
Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular Carcinoma. 472-479 - Jingting Ma, Feng Lin, Stefan Wesarg, Marius Erdt
A Novel Bayesian Model Incorporating Deep Neural Network and Statistical Shape Model for Pancreas Segmentation. 480-487 - Sihang Zhou
Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. 488-496 - Xin Yang, Haoran Dou
Generalizing Deep Models for Ultrasound Image Segmentation. 497-505 - Eli Gibson
Inter-site Variability in Prostate Segmentation Accuracy Using Deep Learning. 506-514 - Tom Brosch, Jochen Peters, Alexandra Groth, Thomas Stehle, Jürgen Weese:
Deep Learning-Based Boundary Detection for Model-Based Segmentation with Application to MR Prostate Segmentation. 515-522 - Yi Wang, Zijun Deng, Xiaowei Hu
Deep Attentional Features for Prostate Segmentation in Ultrasound. 523-530 - Davood Karimi, Qi Zeng, Prateek Mathur, Apeksha Avinash, Sara Mahdavi, Ingrid Spadinger, Purang Abolmaesumi, Septimiu E. Salcudean:
Accurate and Robust Segmentation of the Clinical Target Volume for Prostate Brachytherapy. 531-539
Image Segmentation Methods: Cardiac Segmentation Methods
- Amin Katouzian, Hongzhi Wang, Sailesh Conjeti, Hui Tang, Ehsan Dehghan, Alexandros Karargyris, Anup Pillai, Kenneth L. Clarkson, Nassir Navab:
Hashing-Based Atlas Ranking and Selection for Multiple-Atlas Segmentation. 543-551 - Linlin Yao, Yihui Cao, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li, Rui Zhu:
Corners Detection for Bioresorbable Vascular Scaffolds Segmentation in IVOCT Images. 552-560 - Yuanhan Mo, Fangde Liu, Douglas McIlwraith, Guang Yang, Jingqing Zhang, Taigang He, Yike Guo:
The Deep Poincaré Map: A Novel Approach for Left Ventricle Segmentation. 561-568 - Zenglin Shi, Guodong Zeng, Le Zhang
Bayesian VoxDRN: A Probabilistic Deep Voxelwise Dilated Residual Network for Whole Heart Segmentation from 3D MR Images. 569-577 - Robert Robinson, Ozan Oktay, Wenjia Bai, Vanya V. Valindria
Real-Time Prediction of Segmentation Quality. 578-585 - Wenjia Bai, Hideaki Suzuki, Chen Qin
Recurrent Neural Networks for Aortic Image Sequence Segmentation with Sparse Annotations. 586-594 - Jinming Duan
Deep Nested Level Sets: Fully Automated Segmentation of Cardiac MR Images in Patients with Pulmonary Hypertension. 595-603 - Fuping Wu
Atrial Fibrosis Quantification Based on Maximum Likelihood Estimator of Multivariate Images. 604-612 - Wenjun Yan, Yuanyuan Wang, Zeju Li, Rob J. van der Geest, Qian Tao:
Left Ventricle Segmentation via Optical-Flow-Net from Short-Axis Cine MRI: Preserving the Temporal Coherence of Cardiac Motion. 613-621 - Suyu Dong, Gongning Luo
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination. 622-629 - Markus A. Degel, Nassir Navab, Shadi Albarqouni
Domain and Geometry Agnostic CNNs for Left Atrium Segmentation in 3D Ultrasound. 630-637
Image Segmentation Methods: Chest, Lung and Spine Segmentation
- Na Wang, Cheng Bian
Densely Deep Supervised Networks with Threshold Loss for Cancer Detection in Automated Breast Ultrasound. 641-648 - Anjany Sekuboyina, Markus Rempfler, Jan Kukacka
Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. 649-657 - Maria Vakalopoulou, Guillaume Chassagnon, Norbert Bus, Rafael Marini, Evangelia I. Zacharaki, Marie-Pierre Revel, Nikos Paragios:
AtlasNet: Multi-atlas Non-linear Deep Networks for Medical Image Segmentation. 658-666 - Fausto Milletari, Nicola Rieke
CFCM: Segmentation via Coarse to Fine Context Memory. 667-674
Image Segmentation Methods: Other Segmentation Applications
- Tianyi Zhao, Zhaozheng Yin
Pyramid-Based Fully Convolutional Networks for Cell Segmentation. 677-685 - Erica M. Rutter, John H. Lagergren
Automated Object Tracing for Biomedical Image Segmentation Using a Deep Convolutional Neural Network. 686-694 - Mo Zhang, Xiang Li
RBC Semantic Segmentation for Sickle Cell Disease Based on Deformable U-Net. 695-702 - Dongqing Zhang, Jianing Wang, Jack H. Noble, Benoit M. Dawant:
Accurate Detection of Inner Ears in Head CTs Using a Deep Volume-to-Volume Regression Network with False Positive Suppression and a Shape-Based Constraint. 703-711 - Andreas Wirtz, Sudesh Ganapati Mirashi, Stefan Wesarg:
Automatic Teeth Segmentation in Panoramic X-Ray Images Using a Coupled Shape Model in Combination with a Neural Network. 712-719 - Miaoyun Zhao, Li Wang
Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. 720-727 - Diego Alberto Patiño Cortes
Automatic Skin Lesion Segmentation on Dermoscopic Images by the Means of Superpixel Merging. 728-736 - Zahra Mirikharaji, Ghassan Hamarneh
Star Shape Prior in Fully Convolutional Networks for Skin Lesion Segmentation. 737-745 - Tejas Sudharshan Mathai, Lingbo Jin, Vijay Gorantla, John M. Galeotti:
Fast Vessel Segmentation and Tracking in Ultra High-Frequency Ultrasound Images. 746-754 - Pengyue Zhang, Fusheng Wang
Deep Reinforcement Learning for Vessel Centerline Tracing in Multi-modality 3D Volumes. 755-763
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