Abstract is missing.
- Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound ElastographyAli Kafaei Zad Tehrani, E. G. Sunethra Dayavansha, Yuyang Gu, Ion Candel, Michael Wang, Rimon Tadross, Yiming Xiao, Hassan Rivaz, Kai Thomenius, Anthony E. Samir. 3-13 [doi]
- Simplifying Prostate Elastography Using Micro-ultrasound and Transfer Function ImagingReid Vassallo, Tajwar Abrar Aleef, Vedanth Desaigoudar, Qi Zeng 0004, David Black, Brian Wodlinger, Miles Mannas, Peter C. Black, Septimiu E. Salcudean. 14-23 [doi]
- Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate CancerMohammad R. Salmanpour, Amin Mousavi, Yixi Xu, William B. Weeks, Ilker Hacihaliloglu. 24-34 [doi]
- PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution EnhancementFelix Duelmer, Walter Simson, Mohammad Farid Azampour, Magdalena Wysocki, Angelos Karlas, Nassir Navab. 35-44 [doi]
- PIPsUS: Self-supervised Point Tracking in UltrasoundWanwen Chen, Adam Schmidt, Eitan Prisman, Septimiu E. Salcudean. 47-57 [doi]
- Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-trainHaojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun 0020, Shaqi Luo, Shiji Song, Gao Huang 0001. 58-67 [doi]
- An Evaluation of Low-Cost Hardware on 3D Ultrasound Reconstruction AccuracyÉtienne Léger, Niki Najafi, Houssem Eddine Gueziri, D. Louis Collins, Marta Kersten-Oertel. 68-77 [doi]
- Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative UltrasoundHassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine. 78-87 [doi]
- Automatic Facial Axes Standardization of 3D Fetal Ultrasound ImagesAntònia Alomar, Ricardo Rubio, Laura Salort, Gerard Albaiges, Antoni Payà, Gemma Piella, Federico Sukno. 88-98 [doi]
- C-TRUS: A Novel Dataset and Initial Benchmark for Colon Wall Segmentation in Transabdominal UltrasoundRamona Leenings, Maximilian Konowski, Nils R. Winter, Jan Ernsting, Lukas Fisch, Carlotta B. C. Barkhau, Udo Dannlowski, Andreas Lügering, Xiaoyi Jiang 0001, Tim Hahn. 101-111 [doi]
- Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial LabellingIman Islam, Esther Puyol-Antón, Bram Ruijsink, Andrew J. Reader, Andrew P. King. 112-121 [doi]
- Introducing Anatomical Constraints in Mitral Annulus Segmentation in Transesophageal EchocardiographyBørge Solli Andreassen, Sarina Thomas, Anne H. Schistad Solberg, Eigil Samset, David Völgyes. 122-131 [doi]
- Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound ImagesHao Li, Baris U. Oguz, Gabriel Arenas, Xing Yao, Jiacheng Wang 0007, Alison M. Pouch, Brett C. Byram, Nadav Schwartz, Ipek Oguz. 132-142 [doi]
- Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-NetRohini Banerjee, Cecilia G. Morales, Artur Dubrawski. 143-153 [doi]
- Multi-site Class-Incremental Learning with Weighted Experts in EchocardiographyKit Mills Bransby, Woo-Jin Cho Kim, Jorge Oliveira, Alexander Thorley, Arian Beqiri, Alberto Gómez 0002, Agisilaos Chartsias. 157-166 [doi]
- Masked Autoencoders for Medical Ultrasound Videos Using ROI-Aware MaskingÁdám Szijártó, Bálint Magyar, Thomas Á. Szeier, Máté Tolvaj, Alexandra Fábián, Bálint Károly Lakatos, Zsuzsanna Ladányi, Zsolt Bagyura, Béla Merkely, Attila Kovács, Márton Tokodi. 167-176 [doi]
- Uncertainty-Based Multi-modal Learning for Myocardial Infarction Diagnosis Using Echocardiography and ElectrocardiogramsYingyu Yang, Marie Rocher, Pamela Moceri, Maxime Sermesant. 177-186 [doi]
- Fetal Ultrasound Video Representation Learning Using Contrastive Rubik's Cube RecoveryKangning Zhang, Jianbo Jiao, J. Alison Noble. 187-197 [doi]
- LoRIS - Weakly-Supervised Anomaly Detection for Ultrasound ImagesMarco Colussi, Dragan Ahmetovic, Gabriele Civitarese, Claudio Bettini, Aiman Solyman, Roberta Gualtierotti, Flora Peyvandi, Sergio Mascetti. 198-208 [doi]
- Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion ModelsMarkus Ditlev Sjøgren Olsen, Jakob Ambsdorf, Manxi Lin, Caroline Taksøe-Vester, Morten Bo Søndergaard Svendsen, Anders Nymark Christensen, Mads Nielsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Paraskevas Pegios. 209-219 [doi]
- Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain UltrasoundHanna Mykula, Lisa Gasser, Silvia Lobmaier, Julia A. Schnabel, Veronika A. M. Zimmer, Cosmin I. Bercea. 220-230 [doi]