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Simplifying Medical Ultrasound : 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
Simplifying Medical Ultrasound : 5th International Workshop, ASMUS 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings
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ISBN No.: 9783031736469
Pages: xiii, 233
Year: 202410
Format: Trade Paper
Price: $ 89.69
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

- Image Acquisition, Synthesis and Enhancement.- Unsupervised Physics-Inspired Shear Wave Speed Estimation in Ultrasound Elastography.- Simplifying Prostate Elastography Using Micro-Ultrasound and Transfer Function Imaging.- Do High-Performance Image-to-Image Translation Networks Enable the Discovery of Radiomic Features? Application to MRI Synthesis from Ultrasound in Prostate Cancer.- PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement.- Tracking, Registration and Image-guided Interventions.- PIPsUS: Self-Supervised Point Tracking in Ultrasound.- Structure-aware World Model for Probe Guidance via Large-scale Selfsupervised Pre-train.


- An Evaluation of Low-Cost Hardware on 3D Ultrasound Reconstruction Accuracy.- Learning to Match 2D Keypoints Across Preoperative MR and Intraoperative Ultrasound.- Automatic facial axes standardization of 3D fetal ultrasound images.- Segmentation.- C-TRUS: A Novel Dataset and Initial Benchmark For Colon Wall Segmentation in Transabdominal Ultrasound.- Label Dropout: Improved Deep Learning Echocardiography Segmentation Using Multiple Datasets With Domain Shift and Partial Labelling.- Introducing Anatomical Constraints in Mitral Annulus Segmentation in Transesophageal Echocardiography.- Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound Images.


- Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net.- Classification and Detection.- Multi-Site Class-Incremental Learning with Weighted Experts in Echocardiography.- Masked autoencoders for medical ultrasound videos using ROI-aware masking.- Uncertainty-based Multi-modal Learning for Myocardial Infarction Diagnosis using Echocardiography and Electrocardiograms.- Fetal Ultrasound Video Representation Learning using Contrastive Rubik's Cube Recovery.- LoRIS - Weakly-supervised Anomaly Detection for Ultrasound Images.- Unsupervised Detection of Fetal Brain Anomalies using Denoising Diffusion Models.


- Diffusion Models for Unsupervised Anomaly Detection in Fetal Brain Ultrasound.


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