TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling

18 September 2020

Papers citing "TopNet: Topology Preserving Metric Learning for Vessel Tree Reconstruction and Labelling"

9 / 9 papers shown

Title
Enhancing the automatic segmentation and analysis of 3D liver vasculature models Yassine Machta Omar S. Ali Kevin Hakkakian Ana Vlascenau Amaury Facque Nicolas Golse I. Vignon-Clementel 131 0 0 24 Nov 2024
Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks Deepak Keshwani Yoshiro Kitamura Yuanzhong Li MedIm 42 22 0 07 Sep 2018
Instance Segmentation and Tracking with Cosine Embeddings and Recurrent Hourglass Networks Christian Payer Darko Štern Thomas Neff Horst Bischof M. Urschler 70 82 0 06 Jun 2018
Recurrent Pixel Embedding for Instance Grouping Shu Kong Charless C. Fowlkes 108 180 0 22 Dec 2017
Semantic Instance Segmentation with a Discriminative Loss Function Bert De Brabandere D. Neven Luc Van Gool SSeg 165 447 0 08 Aug 2017
Semantic Instance Segmentation via Deep Metric Learning Alireza Fathi Z. Wojna V. Rathod Peng Wang Hyun Oh Song S. Guadarrama Kevin Patrick Murphy SSeg 53 203 0 30 Mar 2017
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation Özgün Çiçek Ahmed Abdulkadir S. Lienkamp Thomas Brox Olaf Ronneberger 3DV 3DPC SSeg 3DH 155 6,551 0 21 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation Fausto Milletari Nassir Navab Seyed-Ahmad Ahmadi 238 8,716 0 15 Jun 2016
Fast R-CNN Ross B. Girshick ObjD 309 25,081 0 30 Apr 2015