• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 22 matches

• 2025
• 
  Alberto Gómez, Bishesh Khanal, Andrew P. King, Ana I. L. Namburete:
  Simplifying Medical Ultrasound - 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings. Lecture Notes in Computer Science 15186, Springer 2025, ISBN 978-3-031-73646-9 [contents]
• 2024
• 
  Antònia Alomar, Ricardo Rubio, Laura Salort, Gerard Albaiges, Antoni Payà, Gemma Piella, Federico Sukno:
  Automatic Facial Axes Standardization of 3D Fetal Ultrasound Images. ASMUS@MICCAI 2024: 88-98
• 
  Børge Solli Andreassen, Sarina Thomas, Anne H. Schistad Solberg, Eigil Samset, David Völgyes:
  Introducing Anatomical Constraints in Mitral Annulus Segmentation in Transesophageal Echocardiography. ASMUS@MICCAI 2024: 122-131
• 
  Rohini Banerjee, Cecilia G. Morales, Artur Dubrawski:
  Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net. ASMUS@MICCAI 2024: 143-153
• 
  Kit Mills Bransby, Woo-Jin Cho Kim, Jorge Oliveira, Alexander Thorley, Arian Beqiri, Alberto Gómez, Agisilaos Chartsias:
  Multi-site Class-Incremental Learning with Weighted Experts in Echocardiography. ASMUS@MICCAI 2024: 157-166
• 
  Wanwen Chen, Adam Schmidt, Eitan Prisman, Septimiu E. Salcudean:
  PIPsUS: Self-supervised Point Tracking in Ultrasound. ASMUS@MICCAI 2024: 47-57
• 
  Marco Colussi, Dragan Ahmetovic, Gabriele Civitarese, Claudio Bettini, Aiman Solyman, Roberta Gualtierotti, Flora Peyvandi, Sergio Mascetti:
  LoRIS - Weakly-Supervised Anomaly Detection for Ultrasound Images. ASMUS@MICCAI 2024: 198-208
• 
  Felix Duelmer, Walter Simson, Mohammad Farid Azampour, Magdalena Wysocki, Angelos Karlas, Nassir Navab:
  PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement. ASMUS@MICCAI 2024: 35-44
• 
  Iman Islam, Esther Puyol-Antón, Bram Ruijsink, Andrew J. Reader, Andrew P. King:
  Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets with Domain Shift and Partial Labelling. ASMUS@MICCAI 2024: 112-121
• 
  Haojun Jiang, Meng Li, Zhenguo Sun, Ning Jia, Yu Sun, Shaqi Luo, Shiji Song, Gao Huang:
  Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train. ASMUS@MICCAI 2024: 58-67
• 
  Ramona Leenings, Maximilian Konowski, Nils R. Winter, Jan Ernsting, Lukas Fisch, Carlotta B. C. Barkhau, Udo Dannlowski, Andreas Lügering, Xiaoyi Jiang, Tim Hahn:
  C-TRUS: A Novel Dataset and Initial Benchmark for Colon Wall Segmentation in Transabdominal Ultrasound. ASMUS@MICCAI 2024: 101-111
• 
  Étienne Léger, Niki Najafi, Houssem-Eddine Gueziri, D. Louis Collins, Marta Kersten-Oertel:
  An Evaluation of Low-Cost Hardware on 3D Ultrasound Reconstruction Accuracy. ASMUS@MICCAI 2024: 68-77
• 
  Hao Li, Baris U. Oguz, Gabriel Arenas, Xing Yao, Jiacheng Wang, Alison M. Pouch, Brett C. Byram, Nadav Schwartz, Ipek Oguz:
  Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound Images. ASMUS@MICCAI 2024: 132-142
• 
  Hanna Mykula, Lisa Gasser, Silvia Lobmaier, Julia A. Schnabel, Veronika A. M. Zimmer, Cosmin I. Bercea:
  Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound. ASMUS@MICCAI 2024: 220-230
• 
  Markus 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:
  Unsupervised Detection of Fetal Brain Anomalies Using Denoising Diffusion Models. ASMUS@MICCAI 2024: 209-219
• 
  Hassan Rasheed, Reuben Dorent, Maximilian Fehrentz, Tina Kapur, William M. Wells III, Alexandra J. Golby, Sarah F. Frisken, Julia A. Schnabel, Nazim Haouchine:
  Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound. ASMUS@MICCAI 2024: 78-87
• 
  Mohammad R. Salmanpour, Amin Mousavi, Yixi Xu, William B. Weeks, Ilker Hacihaliloglu:
  Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer. ASMUS@MICCAI 2024: 24-34
• 
  Ádám Szijártó, Bálint Magyar, Thomas Á. Szeier, Máté Tolvaj, Alexandra Fábián, Bálint Károly Lakatos, Zsuzsanna Ladányi, Zsolt Bagyura, Béla Merkely, Attila Kovács, Márton Tokodi:
  Masked Autoencoders for Medical Ultrasound Videos Using ROI-Aware Masking. ASMUS@MICCAI 2024: 167-176
• 
  Ali Kafaei Zad Tehrani, E. G. Sunethra Dayavansha, Yuyang Gu, Ion Candel, Michael Wang, Rimon Tadross, Yiming Xiao, Hassan Rivaz, Kai Thomenius, Anthony E. Samir:
  Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound Elastography. ASMUS@MICCAI 2024: 3-13
• 
  Reid Vassallo, Tajwar Abrar Aleef, Vedanth Desaigoudar, Qi Zeng, David G. Black, Brian Wodlinger, Miles Mannas, Peter C. Black, Septimiu E. Salcudean:
  Simplifying Prostate Elastography Using Micro-ultrasound and Transfer Function Imaging. ASMUS@MICCAI 2024: 14-23
• 
  Yingyu Yang, Marie Rocher, Pamela Moceri, Maxime Sermesant:
  Uncertainty-Based Multi-modal Learning for Myocardial Infarction Diagnosis Using Echocardiography and Electrocardiograms. ASMUS@MICCAI 2024: 177-186
• 
  Kangning Zhang, Jianbo Jiao, J. Alison Noble:
  Fetal Ultrasound Video Representation Learning Using Contrastive Rubik's Cube Recovery. ASMUS@MICCAI 2024: 187-197