activity
20192023
most citedCommunity-developed checklists for publishing images and image analysis

87 citations · 141 across the 8 of their papers we have counts for

collaborators

8 papers

eess.IV2023★ 14 cited

Synthetic white balancing for intra-operative hyperspectral imaging

Anisha Bahl, Conor C. Horgan, Mirek Janatka +10

Hyperspectral imaging shows promise for surgical applications to non-invasively provide spatially-resolved, spectral information. For calibration purposes, a white reference image…

eess.IV2023★ 7 cited

Hyperspectral Image Segmentation: A Preliminary Study on the Oral and Dental Spectral Image Database (ODSI-DB)

Luis C. Garcia-Peraza-Herrera, Conor Horgan, Sebastien Ourselin +2

Visual discrimination of clinical tissue types remains challenging, with traditional RGB imaging providing limited contrast for such tasks. Hyperspectral imaging (HSI) is a promisi…

q-bio.OT2023★ 87 cited

Community-developed checklists for publishing images and image analysis

Christopher Schmied, Michael Nelson, Sergiy Avilov +51

Images document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. H…

cs.CV2022★ 1 cited

Motion Correction and Volumetric Reconstruction for Fetal Functional Magnetic Resonance Imaging Data

Daniel Sobotka, Michael Ebner, Ernst Schwartz +8

Motion correction is an essential preprocessing step in functional Magnetic Resonance Imaging (fMRI) of the fetal brain with the aim to remove artifacts caused by fetal movement an…

eess.IV2021

Deep Learning Approach for Hyperspectral Image Demosaicking, Spectral Correction and High-resolution RGB Reconstruction

Peichao Li, Michael Ebner, Philip Noonan +5

Hyperspectral imaging is one of the most promising techniques for intraoperative tissue characterisation. Snapshot mosaic cameras, which can capture hyperspectral data in a single…

cs.CV2021★ 28 cited

Distributionally Robust Segmentation of Abnormal Fetal Brain 3D MRI

Lucas Fidon, Michael Aertsen, Nada Mufti +13

The performance of deep neural networks typically increases with the number of training images. However, not all images have the same importance towards improved performance and ro…

physics.optics2021★ 3 cited

Methodology development and evaluation of optical properties characterisation of small size tissue samples

Yijing Xie, Jonathan Shapey, Eli Nabavi +4

Integrating sphere (IS) techniques combined with an inverse adding doubling (IAD) algorithm have been widely used for determination of optical properties of ex vivo tissues. Semi-i…

eess.IV2019★ 1 cited

Incompressible image registration using divergence-conforming B-splines

Lucas Fidon, Michael Ebner, Luis C. Garcia-Peraza-Herrera +3

Anatomically plausible image registration often requires volumetric preservation. Previous approaches to incompressible image registration have exploited relaxed constraints, ad ho…