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

Front Matter ....Pages i-xvii
Front Matter ....Pages 1-1
 Straight to the Point: Reinforcement Learning for User Guidance in Ultrasound  (Fausto Milletari, Vighnesh Birodkar, Michal Sofka)....Pages 3-10
 Registration of Untracked 2D Laparoscopic Ultrasound Liver Images to CT Using Content-Based Retrieval and Kinematic Priors  (João Ramalhinho, Henry Tregidgo, Moustafa Allam, Nikolina Travlou, Kurinchi Gurusamy, Brian Davidson et al.)....Pages 11-19
 Direct Detection and Measurement of Nuchal Translucency with Neural Networks from Ultrasound Images  (Tianchi Liu, Mengdi Xu, Ziyu Zhang, Changping Dai, Haiyu Wang, Rui Zhang et al.)....Pages 20-28
 Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN Approach  (Andrew Gilbert, Marit Holden, Line Eikvil, Svein Arne Aase, Eigil Samset, Kristin McLeod)....Pages 29-37
 SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound Images  (Jiajun Liang, Rian Huang, Peiyao Kong, Shengli Li, Tianfu Wang, Baiying Lei)....Pages 38-46
 Representation Disentanglement for Multi-task Learning with Application to Fetal Ultrasound  (Qingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz)....Pages 47-55
 Adversarial Learning for Deformable Image Registration: Application to 3D Ultrasound Image Fusion  (Zisheng Li, Masahiro Ogino)....Pages 56-64
 Monitoring Achilles Tendon Healing Progress in Ultrasound Imaging with Convolutional Neural Networks  (Piotr Woznicki, Przemyslaw Przybyszewski, Norbert Kapinski, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz Borucki et al.)....Pages 65-73
 Deep Learning-Based Pneumothorax Detection in Ultrasound Videos  (Courosh Mehanian, Sourabh Kulhare, Rachel Millin, Xinliang Zheng, Cynthia Gregory, Meihua Zhu et al.)....Pages 74-82
 Deep Learning Based Minimum Variance Beamforming for Ultrasound Imaging  (Renxin Zhuang, Junying Chen)....Pages 83-91
Front Matter ....Pages 93-93
 Estimation of Preterm Birth Markers with U-Net Segmentation Network  (Tomasz Włodarczyk, Szymon Płotka, Tomasz Trzciński, Przemysław Rokita, Nicole Sochacki-Wójcicka, Michał Lipa et al.)....Pages 95-103
 Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning Approach  (Irina Grigorescu, Lucilio Cordero-Grande, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez)....Pages 104-112
 Dual Network Generative Adversarial Networks for Pediatric Echocardiography Segmentation  (Libao Guo, Yujin Hu, Baiying Lei, Jie Du, Muyi Mao, Zelong Jin et al.)....Pages 113-122
 Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRI  (Daniel Sobotka, Roxane Licandro, Michael Ebner, Ernst Schwartz, Tom Vercauteren, Sebastien Ourselin et al.)....Pages 123-132
 Plug-and-Play Priors for Reconstruction-Based Placental Image Registration  (Jiarui Xing, Ulugbek Kamilov, Wenjie Wu, Yong Wang, Miaomiao Zhang)....Pages 133-142
 A Longitudinal Study of the Evolution of the Central Sulcus’ Shape in Preterm Infants Using Manifold Learning  (Héloïse de Vareilles, Zhongyi Sun, Manon Benders, Clara Fischer, François Leroy, Linda de Vries et al.)....Pages 143-152
 Prediction of Failure of Induction of Labor from Ultrasound Images Using Radiomic Features  (María Inmaculada García Ocaña, Karen López-Linares Román, Jorge Burgos San Cristóbal, Ana del Campo Real, Iván Macía Oliver)....Pages 153-160
 Longitudinal Analysis of Fetal MRI in Patients with Prenatal Spina Bifida Repair  (Kelly Payette, Ueli Moehrlen, Luca Mazzone, Nicole Ochsenbein-Kölble, Ruth Tuura, Raimund Kottke et al.)....Pages 161-170
 Quantifying Residual Motion Artifacts in Fetal fMRI Data  (Athena Taymourtash, Ernst Schwartz, Karl-Heinz Nenning, Daniel Sobotka, Mariana Diogo, Gregor Kasprian et al.)....Pages 171-180
 Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMR  (Nick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King)....Pages 181-188
Back Matter ....Pages 189-190