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20172022
most citedCA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

726 citations · 1.5k across the 28 of their papers we have counts for

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6 papers · 1 filter

cs.CV2022★ 2 cited

A multi-organ point cloud registration algorithm for abdominal CT registration

Samuel Joutard, Thomas Pheiffer, Chloe Audigier +6

Registering CT images of the chest is a crucial step for several tasks such as disease progression tracking or surgical planning. It is also a challenging step because of the heter…

cs.CV2021★ 53 cited

Image Compositing for Segmentation of Surgical Tools without Manual Annotations

Luis C. Garcia-Peraza-Herrera, Lucas Fidon, Claudia D'Ettorre +3

Producing manual, pixel-accurate, image segmentation labels is tedious and time-consuming. This is often a rate-limiting factor when large amounts of labeled images are required, s…

cs.CV2020

Active Annotation of Informative Overlapping Frames in Video Mosaicking Applications

Loic Peter, Marcel Tella-Amo, Dzhoshkun Ismail Shakir +4

Video mosaicking requires the registration of overlapping frames located at distant timepoints in the sequence to ensure global consistency of the reconstructed scene. However, ful…

cs.CV2020★ 28 cited

Scribble-based Domain Adaptation via Co-segmentation

Reuben Dorent, Samuel Joutard, Jonathan Shapey +7

Although deep convolutional networks have reached state-of-the-art performance in many medical image segmentation tasks, they have typically demonstrated poor generalisation capabi…

cs.CV2020★ 27 cited

Deep Placental Vessel Segmentation for Fetoscopic Mosaicking

Sophia Bano, Francisco Vasconcelos, Luke M. Shepherd +6

During fetoscopic laser photocoagulation, a treatment for twin-to-twin transfusion syndrome (TTTS), the clinician first identifies abnormal placental vascular connections and laser…

cs.CV2017★ 25 cited

Automatic segmentation method of pelvic floor levator hiatus in ultrasound using a self-normalising neural network

Ester Bonmati, Yipeng Hu, Nikhil Sindhwani +5

Segmentation of the levator hiatus in ultrasound allows to extract biometrics which are of importance for pelvic floor disorder assessment. In this work, we present a fully automat…