Abstract is missing.
- Straight to the Point: Reinforcement Learning for User Guidance in UltrasoundFausto Milletari, Vighnesh Birodkar, Michal Sofka. 3-10 [doi]
- Direct Detection and Measurement of Nuchal Translucency with Neural Networks from Ultrasound ImagesTianchi Liu 0003, Mengdi Xu, Ziyu Zhang, Changping Dai, Haiyu Wang, Rui Zhang, Lei Shi, Shuang Wu. 20-28 [doi]
- Automated Left Ventricle Dimension Measurement in 2D Cardiac Ultrasound via an Anatomically Meaningful CNN ApproachAndrew Gilbert, Marit Holden, Line Eikvil, Svein Arne Aase, Eigil Samset, Kristin McLeod. 29-37 [doi]
- SPRNet: Automatic Fetal Standard Plane Recognition Network for Ultrasound ImagesJiajun Liang, Rian Huang, Peiyao Kong, Shengli Li, Tianfu Wang, Baiying Lei. 38-46 [doi]
- Representation Disentanglement for Multi-task Learning with Application to Fetal UltrasoundQingjie Meng, Nick Pawlowski, Daniel Rueckert, Bernhard Kainz. 47-55 [doi]
- Adversarial Learning for Deformable Image Registration: Application to 3D Ultrasound Image FusionZisheng Li, Masahiro Ogino. 56-64 [doi]
- Monitoring Achilles Tendon Healing Progress in Ultrasound Imaging with Convolutional Neural NetworksPiotr Woznicki, Przemyslaw Przybyszewski, Norbert Kapinski, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof Nowinski. 65-73 [doi]
- Deep Learning-Based Pneumothorax Detection in Ultrasound VideosCourosh 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 Gregory, Benjamin K. Wilson. 74-82 [doi]
- Deep Learning Based Minimum Variance Beamforming for Ultrasound ImagingRenxin Zhuang, Junying Chen. 83-91 [doi]
- Estimation of Preterm Birth Markers with U-Net Segmentation NetworkTomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki. 95-103 [doi]
- Investigating Image Registration Impact on Preterm Birth Classification: An Interpretable Deep Learning ApproachIrina Grigorescu, Lucilio Cordero-Grande, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez. 104-112 [doi]
- Dual Network Generative Adversarial Networks for Pediatric Echocardiography SegmentationLibao Guo, Yujin Hu, Baiying Lei, Jie Du, Muyi Mao, Zelong Jin, Bei Xia, Tianfu Wang. 113-122 [doi]
- Reproducibility of Functional Connectivity Estimates in Motion Corrected Fetal fMRIDaniel Sobotka, Roxane Licandro, Michael Ebner, Ernst Schwartz, Tom Vercauteren, Sébastien Ourselin, Gregor Kasprian, Daniela Prayer, Georg Langs. 123-132 [doi]
- Plug-and-Play Priors for Reconstruction-Based Placental Image RegistrationJiarui Xing, Ulugbek Kamilov, Wenjie Wu, Yong Wang, Miaomiao Zhang. 133-142 [doi]
- A Longitudinal Study of the Evolution of the Central Sulcus' Shape in Preterm Infants Using Manifold LearningHéloïse de Vareilles, Zhong Yi Sun, Manon J. N. L. Benders, Clara Fischer, François Leroy, Linda S. de Vries, Floris Groenendaal, Denis Rivière, Jessica Dubois, Jean-François Mangin. 143-152 [doi]
- Prediction of Failure of Induction of Labor from Ultrasound Images Using Radiomic FeaturesMaría Inmaculada García Ocaña, Karen López-Linares Román, Jorge Burgos San Cristóbal, Ana del Campo Real, Iván Macía Oliver. 153-160 [doi]
- Longitudinal Analysis of Fetal MRI in Patients with Prenatal Spina Bifida RepairKelly Payette, Ueli Moehrlen, Luca Mazzone, Nicole Ochsenbein-Kölble, Ruth Tuura, Raimund Kottke, Martin Meuli, András Jakab. 161-170 [doi]
- Quantifying Residual Motion Artifacts in Fetal fMRI DataAthena Taymourtash, Ernst Schwartz, Karl-Heinz Nenning, Daniel Sobotka, Mariana Diogo, Gregor Kasprian, Daniela Prayer, Georg Langs. 171-180 [doi]
- Topology-Preserving Augmentation for CNN-Based Segmentation of Congenital Heart Defects from 3D Paediatric CMRNick Byrne, James R. Clough, Isra Valverde, Giovanni Montana, Andrew P. King. 181-188 [doi]