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ORCID23rd MICCAI 2020: Lima, Peru - Part III
- Anne L. Martel
, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz:
Medical Image Computing and Computer Assisted Intervention - MICCAI 2020 - 23rd International Conference, Lima, Peru, October 4-8, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12263, Springer 2020, ISBN 978-3-030-59715-3
CAI Applications
- Xingtong Liu, Maia Stiber, Jindan Huang, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Reconstructing Sinus Anatomy from Endoscopic Video - Towards a Radiation-Free Approach for Quantitative Longitudinal Assessment. 3-13 - Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi, Garry Gold, Rebecca Fahrig, Björn M. Eskofier, Andreas K. Maier:
Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee. 14-23 - Alfredo Illanes, Axel Boese, Michael Friebe, Christian Hansen:
Feasibility Check: Can Audio Be a Simple Alternative to Force-Based Feedback for Needle Guidance? 24-33 - Erin Bratu, Robert T. Dwyer, Jack H. Noble:
A Graph-Based Method for Optimal Active Electrode Selection in Cochlear Implants. 34-43 - Amoon Jamzad, Alireza Sedghi, Alice M. L. Santilli, Natasja N. Y. Janssen, Martin Kaufmann, Kevin Yi Mi Ren, Kaitlin Vanderbeck, Ami Wang, Doug McKay, John F. Rudan, Gabor Fichtinger, Parvin Mousavi:
Improved Resection Margins in Surgical Oncology Using Intraoperative Mass Spectrometry. 44-53 - Sontje Ihler, Felix Kuhnke, Max-Heinrich Laves, Tobias Ortmaier:
Self-Supervised Domain Adaptation for Patient-Specific, Real-Time Tissue Tracking. 54-64 - Ehsan Azimi, Zhiyuan Niu, Maia Stiber, Nicholas Greene, Ruby Liu, Camilo A. Molina, Judy Huang, Chien-Ming Huang, Peter Kazanzides:
An Interactive Mixed Reality Platform for Bedside Surgical Procedures. 65-75 - Eimear O' Sullivan, Lara van de Lande, Antonia Osolos, Silvia Schievano, David J. Dunaway, Neil Bulstrode, Stefanos Zafeiriou:
Ear Cartilage Inference for Reconstructive Surgery with Convolutional Mesh Autoencoders. 76-85 - Fan Yang, Ren Li, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Haibin Ling, Ziyan Wu:
Robust Multi-modal 3D Patient Body Modeling. 86-95 - Xiongbiao Luo:
A New Electromagnetic-Video Endoscope Tracking Method via Anatomical Constraints and Historically Observed Differential Evolution. 96-104 - Xiaoshuang Li, Lei Bi, Jinman Kim, Tingyao Li, Peng Li, Ye Tian, Bin Sheng, Dagan Feng:
Malocclusion Treatment Planning via PointNet Based Spatial Transformation Network. 105-114 - Fernando Pérez-García, Roman Rodionov, Ali Alim-Marvasti, Rachel Sparks, John S. Duncan, Sébastien Ourselin:
Simulation of Brain Resection for Cavity Segmentation Using Self-supervised and Semi-supervised Learning. 115-125 - Dingkun Liu, Tianyu Fu, Danni Ai, Jingfan Fan, Hong Song, Jian Yang:
Local Contractive Registration for Quantification of Tissue Shrinkage in Assessment of Microwave Ablation. 126-134 - Emanuel Joos, Fabien Péan, Orcun Goksel:
Reinforcement Learning of Musculoskeletal Control from Functional Simulations. 135-145
Image Registration
- Xinzhe Luo, Xiahai Zhuang:
MvMM-RegNet: A New Image Registration Framework Based on Multivariate Mixture Model and Neural Network Estimation. 149-159 - Pierre-Louis Antonsanti, Thomas Benseghir, Vincent Jugnon, Joan Glaunès:
Database Annotation with Few Examples: An Atlas-Based Framework Using Diffeomorphic Registration of 3D Trees. 160-170 - Dongdong Gu, Xiaohuan Cao, Shanshan Ma, Lei Chen, Guocai Liu, Dinggang Shen, Zhong Xue:
Pair-Wise and Group-Wise Deformation Consistency in Deep Registration Network. 171-180 - Liyun Chen, Xiaohuan Cao, Lei Chen, Yaozong Gao, Dinggang Shen, Qian Wang, Zhong Xue:
Semantic Hierarchy Guided Registration Networks for Intra-subject Pulmonary CT Image Alignment. 181-189 - Mattias P. Heinrich, Lasse Hansen:
Highly Accurate and Memory Efficient Unsupervised Learning-Based Discrete CT Registration Using 2.5D Displacement Search. 190-200 - Gyoeng Min Lee, Kwang-deok Seo, Hye Ju Song, Dong-Geun Park, Ga Hyung Ryu, Min Sagong, Sang Hyun Park:
Unsupervised Learning Model for Registration of Multi-phase Ultra-Widefield Fluorescein Angiography. 201-210 - Tony C. W. Mok, Albert C. S. Chung:
Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks. 211-221 - Zhe Xu, Jie Luo, Jiangpeng Yan, Ritvik Pulya, Xiu Li, William M. Wells III, Jayender Jagadeesan:
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration. 222-232 - Wangbin Ding, Lei Li, Xiahai Zhuang, Liqin Huang:
Cross-Modality Multi-atlas Segmentation Using Deep Neural Networks. 233-242 - Qianye Yang, Yunguan Fu, Francesco Giganti, Nooshin Ghavami, Qingchao Chen, J. Alison Noble, Tom Vercauteren, Dean C. Barratt, Yipeng Hu:
Longitudinal Image Registration with Temporal-Order and Subject-Specificity Discrimination. 243-252 - Mikael Brudfors, Yaël Balbastre, Guillaume Flandin, Parashkev Nachev, John Ashburner:
Flexible Bayesian Modelling for Nonlinear Image Registration. 253-263 - Jie Luo, Sarah F. Frisken, Duo Wang, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
Are Registration Uncertainty and Error Monotonically Associated? 264-274 - Bart R. Thomson, Jasper N. Smit, Oleksandra V. Ivashchenko, Niels F. M. Kok, Koert Kuhlmann, Theodoor Jacques Marie Ruers, Matteo Fusaglia:
MR-to-US Registration Using Multiclass Segmentation of Hepatic Vasculature with a Reduced 3D U-Net. 275-284 - Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. 285-295 - Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert:
Biomechanics-Informed Neural Networks for Myocardial Motion Tracking in MRI. 296-306 - Lin Tian, Connor Puett, Peirong Liu, Zhengyang Shen, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer:
Fluid Registration Between Lung CT and Stationary Chest Tomosynthesis Images. 307-317 - Zhengyang Shen, Zhenlin Xu, Sahin Olut, Marc Niethammer:
Anatomical Data Augmentation via Fluid-Based Image Registration. 318-328 - Cong Gao, Xingtong Liu, Wenhao Gu, Benjamin Killeen, Mehran Armand, Russell H. Taylor, Mathias Unberath:
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration. 329-339
Instrumentation and Surgical Phase Detection
- Tobias Czempiel, Magdalini Paschali, Matthias Keicher, Walter Simson, Hubertus Feussner, Seong Tae Kim, Nassir Navab:
TeCNO: Surgical Phase Recognition with Multi-stage Temporal Convolutional Networks. 343-352 - Mirek Janatka, Hani J. Marcus, Neil L. Dorward, Danail Stoyanov:
Surgical Video Motion Magnification with Suppression of Instrument Artefacts. 353-363 - Chinedu Innocent Nwoye, Cristians Gonzalez, Tong Yu, Pietro Mascagni, Didier Mutter, Jacques Marescaux, Nicolas Padoy:
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets. 364-374 - David Kügler, Marc Uecker, Arjan Kuijper, Anirban Mukhopadhyay:
AutoSNAP: Automatically Learning Neural Architectures for Instrument Pose Estimation. 375-384 - Aidean Sharghi, Helene Haugerud, Daniel Oh, Omid Mohareri:
Automatic Operating Room Surgical Activity Recognition for Robot-Assisted Surgery. 385-395
Navigation and Visualization
- Caroline Brendle, Laura Schütz, Javier Esteban, Sandro M. Krieg, Ulrich Eck, Nassir Navab:
Can a Hand-Held Navigation Device Reduce Cognitive Load? A User-Centered Approach Evaluated by 18 Surgeons. 399-408 - Jinglu Zhang, Yinyu Nie, Yao Lyu, Hailin Li, Jian Chang, Xiaosong Yang, Jian-Jun Zhang:
Symmetric Dilated Convolution for Surgical Gesture Recognition. 409-418 - Ryo Hachiuma, Tomohiro Shimizu, Hideo Saito, Hiroki Kajita, Yoshifumi Takatsume:
Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings. 419-428 - Florian Heinrich, Kai Bornemann, Kai Lawonn, Christian Hansen:
Interacting with Medical Volume Data in Projective Augmented Reality. 429-439 - Fang You, Rutvik Khakhar, Thomas Picht, David Dobbelstein:
VR Simulation of Novel Hands-Free Interaction Concepts for Surgical Robotic Visualization Systems. 440-450 - Alexander Winkler, Ulrich Eck, Nassir Navab:
Spatially-Aware Displays for Computer Assisted Interventions. 451-460
Ultrasound Imaging
- Hengtao Guo, Sheng Xu, Bradford J. Wood, Pingkun Yan:
Sensorless Freehand 3D Ultrasound Reconstruction via Deep Contextual Learning. 463-472 - Pramit Saha, Yadong Liu, Bryan Gick, Sidney S. Fels:
Ultra2Speech - A Deep Learning Framework for Formant Frequency Estimation and Tracking from Ultrasound Tongue Images. 473-482 - Tianrui Liu, Qingjie Meng, Athanasios Vlontzos, Jeremy Tan, Daniel Rueckert, Bernhard Kainz:
Ultrasound Video Summarization Using Deep Reinforcement Learning. 483-492 - Lauren Erdman, Marta Skreta, Mandy Rickard, Carson McLean, Aziz Mezlini, Daniel T. Keefe, Anne-Sophie Blais, Michael Brudno, Armando J. Lorenzo, Anna Goldenberg:
Predicting Obstructive Hydronephrosis Based on Ultrasound Alone. 493-503 - Ali Kafaei Zad Tehrani, Morteza Mirzaei, Hassan Rivaz:
Semi-supervised Training of Optical Flow Convolutional Neural Networks in Ultrasound Elastography. 504-513 - Wolfgang Wein, Mattia Lupetti, Oliver Zettinig, Simon Jagoda, Mehrdad Salehi, Viktoria Markova, Dornoosh Zonoobi, Raphael Prevost:
Three-Dimensional Thyroid Assessment from Untracked 2D Ultrasound Clips. 514-523 - Golara Javadi, Minh Nguyen Nhat To, Samareh Samadi, Sharareh Bayat, Samira Sojoudi, Antonio Hurtado, Silvia D. Chang, Peter C. Black, Parvin Mousavi, Purang Abolmaesumi:
Complex Cancer Detector: Complex Neural Networks on Non-stationary Time Series for Guiding Systematic Prostate Biopsy. 524-533 - Jianbo Jiao, Yifan Cai, Mohammad Alsharid, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Self-Supervised Contrastive Video-Speech Representation Learning for Ultrasound. 534-543 - Alex Grimwood, Helen McNair, Yipeng Hu, Ester Bonmati, Dean C. Barratt, Emma J. Harris:
Assisted Probe Positioning for Ultrasound Guided Radiotherapy Using Image Sequence Classification. 544-552 - Yuhao Huang, Xin Yang, Rui Li, Jikuan Qian, Xiaoqiong Huang, Wenlong Shi, Haoran Dou, Chaoyu Chen, Yuanji Zhang, Huanjia Luo, Alejandro Frangi, Yi Xiong, Dong Ni:
Searching Collaborative Agents for Multi-plane Localization in 3D Ultrasound. 553-562 - Haoming Li, Xin Yang, Jiamin Liang, Wenlong Shi, Chaoyu Chen, Haoran Dou, Rui Li, Rui Gao, Guangquan Zhou, Jinghui Fang, Xiaowen Liang, Ruobing Huang, Alejandro Frangi, Zhiyi Chen, Dong Ni:
Contrastive Rendering for Ultrasound Image Segmentation. 563-572 - Rémi Delaunay, Yipeng Hu, Tom Vercauteren:
An Unsupervised Approach to Ultrasound Elastography with End-to-end Strain Regularisation. 573-582 - Richard Droste, Lior Drukker, Aris T. Papageorghiou, J. Alison Noble:
Automatic Probe Movement Guidance for Freehand Obstetric Ultrasound. 583-592
Video Image Analysis
- Cristina González, Laura Bravo Sánchez, Pablo Arbeláez:
ISINet: An Instance-Based Approach for Surgical Instrument Segmentation. 595-605 - Bowen Li, Ke Yan, Dar-In Tai, Yuankai Huo, Le Lu, Jing Xiao, Adam P. Harrison:
Reliable Liver Fibrosis Assessment from Ultrasound Using Global Hetero-Image Fusion and View-Specific Parameterization. 606-615 - Mingli Yu, Tongan Cai, Xiaolei Huang, Kelvin K. Wong, John Volpi, James Z. Wang, Stephen T. C. Wong:
Toward Rapid Stroke Diagnosis with Multimodal Deep Learning. 616-626 - Mobarakol Islam, Seenivasan Lalithkumar, Lim Chwee Ming, Hongliang Ren:
Learning and Reasoning with the Graph Structure Representation in Robotic Surgery. 627-636 - Mandy Lu, Kathleen L. Poston, Adolf Pfefferbaum, Edith V. Sullivan, Li Fei-Fei, Kilian M. Pohl, Juan Carlos Niebles, Ehsan Adeli:
Vision-Based Estimation of MDS-UPDRS Gait Scores for Assessing Parkinson's Disease Motor Severity. 637-647 - Daniil Pakhomov, Nassir Navab:
Searching for Efficient Architecture for Instrument Segmentation in Robotic Surgery. 648-656 - Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li:
Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion. 657-667 - Tianyu Wang, Yijie Wang, Mian Li:
Towards Accurate and Interpretable Surgical Skill Assessment: A Video-Based Method Incorporating Recognized Surgical Gestures and Skill Levels. 668-678 - Zixu Zhao, Yueming Jin, Xiaojie Gao, Qi Dou, Pheng-Ann Heng:
Learning Motion Flows for Semi-supervised Instrument Segmentation from Robotic Surgical Video. 679-689 - Marcel Bengs, Nils Gessert, Wiebke Laffers, Dennis Eggert, Stephan Westermann, Nina A. Müller, Andreas O. H. Gerstner, Christian Betz, Alexander Schlaefer:
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification. 690-699 - Emanuele Colleoni, Philip J. Edwards, Danail Stoyanov:
Synthetic and Real Inputs for Tool Segmentation in Robotic Surgery. 700-710 - Sergiy Zhuk, Jonathan P. Epperlein, Rahul Nair, Seshu Tirupathi, Pól Mac Aonghusa, Donal O'Shea, Ronan A. Cahill:
Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures. 711-721 - Zijian Zhang, Hong Shang, Han Zheng, Xiaoning Wang, Jiajun Wang, Zhongqian Sun, Junzhou Huang, Jianhua Yao:
Asynchronous in Parallel Detection and Tracking (AIPDT): Real-Time Robust Polyp Detection. 722-731 - Jiabo Xu, Saeed Anwar, Nick Barnes, Florian Grimpen, Olivier Salvado, Stuart Anderson, Mohammad Ali Armin:
OfGAN: Realistic Rendition of Synthetic Colonoscopy Videos. 732-741 - Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes:
Two-Stream Deep Feature Modelling for Automated Video Endoscopy Data Analysis. 742-751 - Dominik Rivoir, Sebastian Bodenstedt, Isabel Funke, Felix von Bechtolsheim, Marius Distler, Jürgen Weitz, Stefanie Speidel:
Rethinking Anticipation Tasks: Uncertainty-Aware Anticipation of Sparse Surgical Instrument Usage for Context-Aware Assistance. 752-762 - Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd, Emmanuel B. Vander Poorten, Tom Vercauteren, Sébastien Ourselin, Anna L. David, Jan Deprest, Danail Stoyanov:
Deep Placental Vessel Segmentation for Fetoscopic Mosaicking. 763-773 - Gwangbin Bae, Ignas Budvytis, Chung-Kwong Yeung, Roberto Cipolla:
Deep Multi-view Stereo for Dense 3D Reconstruction from Monocular Endoscopic Video. 774-783 - Manish Sahu, Ronja Strömsdörfer, Anirban Mukhopadhyay, Stefan Zachow:
Endo-Sim2Real: Consistency Learning-Based Domain Adaptation for Instrument Segmentation. 784-794
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