activity
20172023
most citedInteractive Medical Image Segmentation using Deep Learning with Image-specific Fine-tuning

869 citations · 3.4k across the 24 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

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…

eess.IV2020★ 726 cited

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

Ran Gu, Guotai Wang, Tao Song +6

Accurate medical image segmentation is essential for diagnosis and treatment planning of diseases. Convolutional Neural Networks (CNNs) have achieved state-of-the-art performance f…

cs.CV2020★ 92 cited

Real-Time Segmentation of Non-Rigid Surgical Tools based on Deep Learning and Tracking

Luis C. García-Peraza-Herrera, Wenqi Li, Caspar Gruijthuijsen +7

Real-time tool segmentation is an essential component in computer-assisted surgical systems. We propose a novel real-time automatic method based on Fully Convolutional Networks (FC…

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…

eess.IV2020★ 32 cited

Uncertainty-Guided Efficient Interactive Refinement of Fetal Brain Segmentation from Stacks of MRI Slices

Guotai Wang, Michael Aertsen, Jan Deprest +3

Segmentation of the fetal brain from stacks of motion-corrupted fetal MRI slices is important for motion correction and high-resolution volume reconstruction. Although Convolutiona…