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ORCIDASMUS@MICCAI 2023: Vancouver, BC, Canada
- Bernhard Kainz
, J. Alison Noble, Julia A. Schnabel, Bishesh Khanal, Johanna P. Müller, Thomas G. Day:
Simplifying Medical Ultrasound - 4th International Workshop, ASMUS 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Lecture Notes in Computer Science 14337, Springer 2023, ISBN 978-3-031-44520-0
Advanced Imaging, Segmentation, and Ultrasound Techniques
- He Zhao, Qianhui Men, Alexander D. Gleed, Aris T. Papageorghiou, J. Alison Noble:
Ultrasound Video Segmentation with Adaptive Temporal Memory. 3-12 - Chun Kit Wong, Manxi Lin, Alberto Raheli, Zahra Bashir, Morten Bo Søndergaard Svendsen, Martin Grønnebæk Tolsgaard, Aasa Feragen, Anders Nymark Christensen:
An Automatic Guidance and Quality Assessment System for Doppler Imaging of Umbilical Artery. 13-22 - Hariharan Ravishankar, Rohan Patil, Vikram Melapudi, Pavan Annangi:
SonoSAM - Segment Anything on Ultrasound Images. 23-33 - David Stojanovski, Uxio Hermida, Pablo Lamata, Arian Beqiri, Alberto Gómez:
Echo from Noise: Synthetic Ultrasound Image Generation Using Diffusion Models for Real Image Segmentation. 34-43 - Sarina Thomas, Cristiana Tiago, Børge Solli Andreassen, Svein Arne Aase, Jurica Sprem, Erik Normann Steen, Anne H. Schistad Solberg, Guy Ben-Yosef:
Graph Convolutional Neural Networks for Automated Echocardiography View Recognition: A Holistic Approach. 44-54
Predictive Analysis, Learning, and Classification
- Paraskevas Pegios, Emilie Pi Fogtmann Sejer, Manxi Lin, Zahra Bashir, Morten Bo Søndergaard Svendsen, Mads Nielsen, Eike Petersen, Anders Nymark Christensen, Martin Grønnebæk Tolsgaard, Aasa Feragen:
Leveraging Shape and Spatial Information for Spontaneous Preterm Birth Prediction. 57-67 - Joseph Geo Benjamin, Mothilal Asokan, Amna Alhosani, Hussain Alasmawi, Werner Gerhard Diehl, Leanne Bricker, Karthik Nandakumar, Mohammad Yaqub:
Leveraging Self-supervised Learning for Fetal Cardiac Planes Classification Using Ultrasound Scan Videos. 68-78 - Yuyue Zhou, Jessica Knight, Banafshe Felfeliyan, Shrimanti Ghosh, Fatima Alves-Pereira, Christopher Keen, Abhilash Rakkunedeth Hareendranathan, Jacob L. Jaremko:
Self-Supervised Learning to More Efficiently Generate Segmentation Masks for Wrist Ultrasound. 79-88 - Rabin Adhikari, Manish Dhakal, Safal Thapaliya, Kanchan Poudel, Prasiddha Bhandari, Bishesh Khanal:
Synthetic Boost: Leveraging Synthetic Data for Enhanced Vision-Language Segmentation in Echocardiography. 89-99 - Juan Carlos Prieto, Chiraz BenAbdelkader, Teeranan Pokaprakarn, Hina Shah, Yuri Sebastião, Qing Dan, Nariman Almnini, Arieska Nicole Diaz, Srihari Chari, Harmony Chi, Elizabeth M. Stringer, Jeffrey S. A. Stringer:
SimNorth: A Novel Contrastive Learning Approach for Clustering Prenatal Ultrasound Images. 100-108
Multimodal Imaging, Reconstruction, and Real-time Applications
- Kian Wei Ng, Yujia Gao, Shaheryar Mohammed Furqan, Zachery Yeo, Joel Lau, Kee Yuan Ngiam, Eng Tat Khoo:
HoloPOCUS: Portable Mixed-Reality 3D Ultrasound Tracking, Reconstruction and Overlay. 111-120 - Indrani Bhattacharya, Sulaiman Vesal, Hassan Jahanandish, Moonhyung Choi, Steve Ran Zhou, Zachary Kornberg, Elijah Richard Sommer, Richard E. Fan, James D. Brooks, Geoffrey A. Sonn, Mirabela Rusu:
MIC-CUSP: Multimodal Image Correlations for Ultrasound-Based Prostate Cancer Detection. 121-131 - Marco Colussi, Sergio Mascetti, Dragan Ahmetovic, Gabriele Civitarese, Marco Cacciatori, Flora Peyvandi, Roberta Gualtierotti, Sara Arcudi, Claudio Bettini:
GAJA - Guided self-Acquisition of Joint ultrAsound images. 132-141 - Qi Li, Ziyi Shen, Qian Li, Dean C. Barratt, Thomas Dowrick, Matthew J. Clarkson, Tom Vercauteren, Yipeng Hu:
Privileged Anatomical and Protocol Discrimination in Trackerless 3D Ultrasound Reconstruction. 142-151
Diagnostic Enhancements and Novel Ultrasound Innovations
- Rohit Singla, Cailin Ringstrom, Grace Hu, Victoria A. Lessoway, Janice Reid, Christopher Y. Nguan, Robert Rohling:
The Open Kidney Ultrasound Data Set. 155-164 - Zhijie Fang, Hervé Delingette, Nicholas Ayache:
Anatomical Landmark Detection for Initializing US and MR Image Registration. 165-174 - Vanessa Gonzalez Duque, Leonhard Zirus, Yordanka Velikova, Nassir Navab, Diana Mateus:
Can Ultrasound Confidence Maps Predict Sonographers' Labeling Variability? 175-184 - Jerome Charton, Hui Ren, Sekeun Kim, Carola Maraboto Gonzalez, Jay Khambhati, Justin Cheng, Jeena DeFrancesco, Anam A. Waheed, Sylwia Marciniak, Filipe Moura, Rhanderson Cardoso, Bruno B. Lima, Michael H. Picard, Xiang Li, Quanzheng Li:
Multi-task Learning for Hierarchically-Structured Images: Study on Echocardiogram View Classification. 185-194 - Matteo Tafuro, Gino Jansen, Ivana Isgum:
Temporally Consistent Segmentations from Sparsely Labeled Echocardiograms Using Image Registration for Pseudo-labels Generation. 195-204
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