Copertina

Identifying visible tissue in intraoperative ultrasound: a method and application

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Weld, Alistair, Dixon, Luke, Anichini, Giulio, Dyck, Michael, Ranne, Alex, Camp, Sophie, Giannarou, Stamatia
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Confidence-Based Annotation Of Brain Tumours In Ultrasound
di: Weld, Alistair, et al.
Pubblicazione: (2025)

Standardisation of Convex Ultrasound Data Through Geometric Analysis and Augmentation
di: Weld, Alistair, et al.
Pubblicazione: (2025)

Navigated hepatic tumor resection using intraoperative ultrasound imaging
di: Olthof, Karin, et al.
Pubblicazione: (2025)

Towards Safe and Collaborative Robotic Ultrasound Tissue Scanning in Neurosurgery
di: Dyck, Michael, et al.
Pubblicazione: (2023)

CathFlow: Self-Supervised Segmentation of Catheters in Interventional Ultrasound Using Optical Flow and Transformers
di: Ranne, Alex, et al.
Pubblicazione: (2024)

RGB to Hyperspectral: Spectral Reconstruction for Enhanced Surgical Imaging
di: Czempiel, Tobias, et al.
Pubblicazione: (2024)

Selection of appropriate multispectral camera exposure settings and radiometric calibration methods for applications in phenotyping and precision agriculture
di: Swaminathan, Vaishali, et al.
Pubblicazione: (2024)

An unsupervised learning-based shear wave tracking method for ultrasound elastography
di: Delaunay, Remi, et al.
Pubblicazione: (2024)

Real-time guidewire tracking and segmentation in intraoperative x-ray
di: Zhang, Baochang, et al.
Pubblicazione: (2024)

UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction
di: Wu, Luohong, et al.
Pubblicazione: (2025)

Rapid patient-specific neural networks for intraoperative X-ray to volume registration
di: Gopalakrishnan, Vivek, et al.
Pubblicazione: (2025)

Evaluation of MRI to ultrasound registration methods for brain shift correction: The CuRIOUS2018 Challenge
di: Xiao, Yiming, et al.
Pubblicazione: (2019)

A texture-based framework for foundational ultrasound models
di: Grutman, Tal, et al.
Pubblicazione: (2026)

REAL-Colon: A dataset for developing real-world AI applications in colonoscopy
di: Biffi, Carlo, et al.
Pubblicazione: (2024)

A benchmark for 2D foetal brain ultrasound analysis
di: Cabezas, Mariano, et al.
Pubblicazione: (2024)

Tensorial tomographic Fourier Ptychography with applications to muscle tissue imaging
di: Xu, Shiqi, et al.
Pubblicazione: (2023)

Generative augmentations for improved cardiac ultrasound segmentation using diffusion models
di: Van De Vyver, Gilles, et al.
Pubblicazione: (2025)

Automatic segmentation of colorectal liver metastases for ultrasound-based navigated resection
di: Natali, Tiziano, et al.
Pubblicazione: (2025)

Automatic facial axes standardization of 3D fetal ultrasound images
di: Alomar, Antonia, et al.
Pubblicazione: (2024)

AGE-US: automated gestational age estimation based on fetal ultrasound images
di: Díaz-Parga, César, et al.
Pubblicazione: (2025)

PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound
di: Li, Hao, et al.
Pubblicazione: (2024)

4D-UNet improves clutter rejection in human transcranial contrast enhanced ultrasound
di: Beruard, Tristan, et al.
Pubblicazione: (2026)

Multi-modality transrectal ultrasound video classification for identification of clinically significant prostate cancer
di: Wu, Hong, et al.
Pubblicazione: (2024)

Training-free image style alignment for self-adapting domain shift on handheld ultrasound devices
di: Zeng, Hongye, et al.
Pubblicazione: (2024)

CycleULM: A unified label-free deep learning framework for ultrasound localisation microscopy
di: Yan, Su, et al.
Pubblicazione: (2026)

BUSClean: Open-source software for breast ultrasound image pre-processing and knowledge extraction for medical AI
di: Bunnell, Arianna, et al.
Pubblicazione: (2024)

Segmenting Cardiac Muscle Z-disks with Deep Neural Networks
di: Ibrahim, Mihaela Croitor, et al.
Pubblicazione: (2024)

End-to-end optimization of sparse ultrasound linear probes
di: Urrea, Sergio, et al.
Pubblicazione: (2026)

A novel framework for fully-automated co-registration of intravascular ultrasound and optical coherence tomography imaging data
di: He, Xingwei, et al.
Pubblicazione: (2025)

Synthetic magnetic resonance images for domain adaptation: Application to fetal brain tissue segmentation
di: de Dumast, Priscille, et al.
Pubblicazione: (2021)

Real-time volumetric free-hand ultrasound imaging for large-sized organs: A study of imaging the whole spine
di: Li, Caozhe, et al.
Pubblicazione: (2024)

Optimizing traffic signs and lights visibility for the teleoperation of autonomous vehicles through ROI compression
di: Dror, I., et al.
Pubblicazione: (2024)

Far-field compressive ultrasound beamforming
di: Khetan, Nikunj, et al.
Pubblicazione: (2026)

Classifier-guided registration of coronary CT angiography and intravascular ultrasound
di: van Herten, R. L. M., et al.
Pubblicazione: (2024)

GAN-HA: A generative adversarial network with a novel heterogeneous dual-discriminator network and a new attention-based fusion strategy for infrared and visible image fusion
di: Lu, Guosheng, et al.
Pubblicazione: (2024)

A multitask framework for automated interpretation of multi-frame right upper quadrant ultrasound in clinical decision support
di: Guo, Haiman, et al.
Pubblicazione: (2026)

Generation of realistic cardiac ultrasound sequences with ground truth motion and speckle decorrelation
di: Judge, Thierry, et al.
Pubblicazione: (2025)

Improved Anisotropic Gaussian Filters
di: Keilmann, Alex, et al.
Pubblicazione: (2023)

Identifying actionable driver mutations in lung cancer using an efficient Asymmetric Transformer Decoder
di: Brattoli, Biagio, et al.
Pubblicazione: (2025)

Segmentation of tibiofemoral joint tissues from knee MRI using MtRA-Unet and incorporating shape information: Data from the Osteoarthritis Initiative
di: Daydar, Akshay, et al.
Pubblicazione: (2024)