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20212026
most citedLong-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker

20 citations · 74 across the 22 of their papers we have counts for

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10 papers · 1 filter

eess.IV2026

Spatial Feature-wise Linear Modulation (SpFiLM) for Contrast Agent-Aware Brain Parcellation

Pushpendra Singh, Joshua R. Astley, Roman Rodionov +3

Most automated brain parcellation tools are developed and validated on T1-weighted (T1w) MRI. Yet, some clinical workflows for which parcellation is relevant only use contrast-enha…

eess.IV2025

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023

Navodini Wijethilake, Reuben Dorent, Marina Ivory +38

The cross-Modality Domain Adaptation (crossMoDA) challenge series, initiated in 2021 in conjunction with the International Conference on Medical Image Computing and Computer Assist…

eess.IV2025

A generalisable head MRI defacing pipeline: Evaluation on 2,566 meningioma scans

Lorena Garcia-Foncillas Macias, Aaron Kujawa, Aya Elshalakany +2

Reliable MRI defacing techniques to safeguard patient privacy while preserving brain anatomy are critical for research collaboration. Existing methods often struggle with incomplet…

eess.IV2024

Scribble-Based Interactive Segmentation of Medical Hyperspectral Images

Zhonghao Wang, Junwen Wang, Charlie Budd +3

Hyperspectral imaging (HSI) is an advanced medical imaging modality that captures optical data across a broad spectral range, providing novel insights into the biochemical composit…

eess.IV2024

A self-supervised and adversarial approach to hyperspectral demosaicking and RGB reconstruction in surgical imaging

Peichao Li, Oscar MacCormac, Jonathan Shapey +1

Hyperspectral imaging holds promises in surgical imaging by offering biological tissue differentiation capabilities with detailed information that is invisible to the naked eye. Fo…

eess.IV2024★ 3 cited

Nonrigid Reconstruction of Freehand Ultrasound without a Tracker

Qi Li, Ziyi Shen, Qianye Yang +4

Reconstructing 2D freehand Ultrasound (US) frames into 3D space without using a tracker has recently seen advances with deep learning. Predicting good frame-to-frame rigid transfor…

eess.IV2023★ 8 cited

A 3D generative model of pathological multi-modal MR images and segmentations

Virginia Fernandez, Walter Hugo Lopez Pinaya, Pedro Borges +3

Generative modelling and synthetic data can be a surrogate for real medical imaging datasets, whose scarcity and difficulty to share can be a nuisance when delivering accurate deep…

eess.IV2023★ 1 cited

A Clinical Guideline Driven Automated Linear Feature Extraction for Vestibular Schwannoma

Navodini Wijethilake, Steve Connor, Anna Oviedova +3

Vestibular Schwannoma is a benign brain tumour that grows from one of the balance nerves. Patients may be treated by surgery, radiosurgery or with a conservative "wait-and-scan" st…

eess.IV2023★ 20 cited

Long-term Dependency for 3D Reconstruction of Freehand Ultrasound Without External Tracker

Qi Li, Ziyi Shen, Qian Li +5

Objective: Reconstructing freehand ultrasound in 3D without any external tracker has been a long-standing challenge in ultrasound-assisted procedures. We aim to define new ways of…

eess.IV2021

Robust joint registration of multiple stains and MRI for multimodal 3D histology reconstruction: Application to the Allen human brain atlas

Adrià Casamitjana, Marco Lorenzi, Sebastiano Ferraris +6

Joint registration of a stack of 2D histological sections to recover 3D structure (``3D histology reconstruction'') finds application in areas such as atlas building and validation…