activity
20162024
most citedSpatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations

178 citations · 428 across the 21 of their papers we have counts for

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Showing 2018Show all

8 papers · 1 filter

q-bio.NC2018

Comparison of Brain Networks based on Predictive Models of Connectivity

Fani Deligianni, Jonathan D. Clayden, Guang-Zhong Yang

In this study we adopt predictive modelling to identify simultaneously commonalities and differences in multi-modal brain networks acquired within subjects. Typically, predictive m…

cs.CV2018

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks

Yulei Qin, Juan Wen, Hao Zheng +6

Chromosome classification is critical for karyotyping in abnormality diagnosis. To expedite the diagnosis, we present a novel method named Varifocal-Net for simultaneous classifica…

cs.CV2018

3D Path Planning from a Single 2D Fluoroscopic Image for Robot Assisted Fenestrated Endovascular Aortic Repair

Jian-Qing Zheng, Xiao-Yun Zhou, Celia Riga +1

The current standard of intra-operative navigation during Fenestrated Endovascular Aortic Repair (FEVAR) calls for need of 3D alignments between inserted devices and aortic branche…

cs.CV2018

Normalization in Training U-Net for 2D Biomedical Semantic Segmentation

Xiao-Yun Zhou, Guang-Zhong Yang

2D biomedical semantic segmentation is important for robotic vision in surgery. Segmentation methods based on Deep Convolutional Neural Network (DCNN) can out-perform conventional…

physics.med-ph2018

Translational Motion Compensation for Soft Tissue Velocity Images

Christina Koutsoumpa, Jennifer Keegan, David Firmin +2

Purpose: Advancements in MRI Tissue Phase Velocity Mapping (TPM) allow for the acquisition of higher quality velocity cardiac images providing better assessment of regional myocard…

cs.RO2018

Intraoperative robotic-assisted large-area high-speed microscopic imaging and intervention

Petros Giataganas, Michael Hughes, Christopher J. Payne +3

Objective: Probe-based confocal endomicroscopy is an emerging high-magnification optical imaging technique that provides in vivo and in situ cellular-level imaging for real-time as…