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ORCIDSUSI/PIPPI@MICCAI 2019: Shenzhen, China
- Qian Wang, Alberto Gómez, Jana Hutter, Kristin McLeod, Veronika A. M. Zimmer, Oliver Zettinig, Roxane Licandro, Emma C. Robinson, Daan Christiaens, Esra Abaci Turk, Andrew Melbourne:
Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis - First International Workshop, SUSI 2019, and 4th International Workshop, PIPPI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13 and 17, 2019, Proceedings. Lecture Notes in Computer Science 11798, Springer 2019, ISBN 978-3-030-32874-0
First Workshop on Smart UltraSound Imaging
- Fausto Milletari, Vighnesh Birodkar, Michal Sofka:
Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound. 3-10 - João Ramalhinho
, Henry F. J. Tregidgo, Moustafa Allam, Nikolina Travlou, Kurinchi Gurusamy, Brian R. Davidson, David J. Hawkes, Dean C. Barratt, Matthew J. Clarkson:
Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT Using Content-Based Retrieval and Kinematic Priors. 11-19 - Tianchi Liu, Mengdi Xu, Ziyu Zhang, Changping Dai, Haiyu Wang, Rui Zhang, Lei Shi, Shuang Wu:
Direct Detection and Measurement of Nuchal Translucency with Neural Networks from Ultrasound Images. 20-28 - Andrew Gilbert, Marit Holden, Line Eikvil, Svein Arne Aase, Eigil Samset, Kristin McLeod:
Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach. 29-37 - Jiajun Liang, Rian Huang, Peiyao Kong, Shengli Li, Tianfu Wang, Baiying Lei:
SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images. 38-46 - Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz:
Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound. 47-55 - Zisheng Li, Masahiro Ogino:
Adversarial Learning for Deformable Image Registration: Application to 3D Ultrasound Image Fusion. 56-64 - Piotr Woznicki, Przemyslaw Przybyszewski, Norbert Kapinski, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof Nowinski:
Monitoring Achilles Tendon Healing Progress in Ultrasound Imaging with Convolutional Neural Networks. 65-73 - Courosh Mehanian, Sourabh Kulhare, Rachel Millin, Xinliang Zheng, Cynthia Gregory, Meihua Zhu, Hua Xie, James McAndrew Jones, Jack Lazar, Amber Halse, Todd Graham, Mike Stone, Kenton W. Gregory, Benjamin K. Wilson:
Deep Learning-Based Pneumothorax Detection in Ultrasound Videos. 74-82 - Renxin Zhuang, Junying Chen:
Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging. 83-91
4th Workshop on Perinatal, Preterm and Paediatric Image Analysis
- Tomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki:
Estimation of Preterm Birth Markers with U-Net Segmentation Network. 95-103 - Irina Grigorescu, Lucilio Cordero-Grande, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez:
Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach. 104-112 - Libao Guo, Yujin Hu, Baiying Lei, Jie Du, Muyi Mao, Zelong Jin, Bei Xia, Tianfu Wang:
Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation. 113-122 - Daniel Sobotka, Roxane Licandro, Michael Ebner, Ernst Schwartz, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs:
Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI. 123-132 - Jiarui Xing, Ulugbek Kamilov, Wenjie Wu, Yong Wang, Miaomiao Zhang:
Plug-and-Play Priors for Reconstruction-Based Placental Image Registration. 133-142 - Héloïse de Vareilles, Zhongyi Sun, Manon J. N. L. Benders, Clara Fischer, François Leroy, Linda S. de Vries, Floris Groenendaal, Denis Rivière, Jessica Dubois, Jean-François Mangin:
A Longitudinal Study of the Evolution of the Central Sulcus' Shape in Preterm Infants Using Manifold Learning. 143-152 - María Inmaculada García Ocaña, Karen López-Linares Román, Jorge Burgos San Cristóbal, Ana del Campo Real, Iván Macía Oliver:
Prediction of Failure of Induction of Labor from Ultrasound Images Using Radiomic Features. 153-160 - Kelly Payette, Ueli Moehrlen, Luca Mazzone, Nicole Ochsenbein-Kölble, Ruth Tuura, Raimund Kottke, Martin Meuli, András Jakab:
Longitudinal Analysis of Fetal MRI in Patients with Prenatal Spina Bifida Repair. 161-170 - Athena Taymourtash, Ernst Schwartz, Karl-Heinz Nenning, Daniel Sobotka, Mariana Diogo, Gregor Kasprian, Daniela Prayer, Georg Langs:
Quantifying Residual Motion Artifacts in Fetal fMRI Data. 171-180 - Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King:
Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR. 181-188
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