17 citations · 18 across the 6 of their papers we have counts for
6 papers
RealSynCol: a high-fidelity synthetic colon dataset for 3D reconstruction applications
Chiara Lena, Davide Milesi, Alessandro Casella +10
Deep learning has the potential to improve colonoscopy by enabling 3D reconstruction of the colon, providing a comprehensive view of mucosal surfaces and lesions, and facilitating…
Why is the winner the best?
Matthias Eisenmann, Annika Reinke, Vivienn Weru +122
International benchmarking competitions have become fundamental for the comparative performance assessment of image analysis methods. However, little attention has been given to in…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
Learning-Based Keypoint Registration for Fetoscopic Mosaicking
Alessandro Casella, Sophia Bano, Francisco Vasconcelos +7
In Twin-to-Twin Transfusion Syndrome (TTTS), abnormal vascular anastomoses in the monochorionic placenta can produce uneven blood flow between the two fetuses. In the current pract…
Placental Vessel Segmentation and Registration in Fetoscopy: Literature Review and MICCAI FetReg2021 Challenge Findings
Sophia Bano, Alessandro Casella, Francisco Vasconcelos +28
Fetoscopy laser photocoagulation is a widely adopted procedure for treating Twin-to-Twin Transfusion Syndrome (TTTS). The procedure involves photocoagulation pathological anastomos…
FetReg: Placental Vessel Segmentation and Registration in Fetoscopy Challenge Dataset
Sophia Bano, Alessandro Casella, Francisco Vasconcelos +9
Fetoscopy laser photocoagulation is a widely used procedure for the treatment of Twin-to-Twin Transfusion Syndrome (TTTS), that occur in mono-chorionic multiple pregnancies due to…