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20172021
most citedThe challenges of deploying artificial intelligence models in a rapidly evolving pandemic

85 citations · 169 across the 4 of their papers we have counts for

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7 papers · 1 filter

cs.CV2021★ 69 cited

Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks

Patrick Brandao, Odysseas Zisimopoulos, Evangelos Mazomenos +9

Early diagnosis is essential for the successful treatment of bowel cancers including colorectal cancer (CRC) and capsule endoscopic imaging with robotic actuation can be a valuable…

cs.CV2019

Reproducibility of an airway tapering measurement in CT with application to bronchiectasis

Kin Quan, Ryutaro Tanno, Rebecca J. Shipley +4

Purpose: This paper proposes a pipeline to acquire a scalar tapering measurement from the carina to the most distal point of an individual airway visible on CT. We show the applica…

cs.CV2019★ 15 cited

Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation

Rene Lacher, Francisco Vasconcelos, Norman Williams +4

Accounting for 26% of all new cancer cases worldwide, breast cancer remains the most common form of cancer in women. Although early breast cancer has a favourable long-term prognos…

cs.CV2018

Uncertainty in multitask learning: joint representations for probabilistic MR-only radiotherapy planning

Felix J. S. Bragman, Ryutaro Tanno, Zach Eaton-Rosen +6

Multi-task neural network architectures provide a mechanism that jointly integrates information from distinct sources. It is ideal in the context of MR-only radiotherapy planning a…

cs.CV2018

Augmented Reality needle ablation guidance tool for Irreversible Electroporation in the pancreas

Timur Kuzhagaliyev, Neil T. Clancy, Mirek Janatka +7

Irreversible electroporation (IRE) is a soft tissue ablation technique suitable for treatment of inoperable tumours in the pancreas. The process involves applying a high voltage el…

cs.CV2018

A Log-Euclidean and Total Variation based Variational Framework for Computational Sonography

Jyotirmoy Banerjee, Premal A. Patel, Fred Ushakov +5

We propose a spatial compounding technique and variational framework to improve 3D ultrasound image quality by compositing multiple ultrasound volumes acquired from different probe…