578 citations · 2.5k across the 216 of their papers we have counts for
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Hands-Free Segmentation of Medical Volumes via Binary Inputs
Florian Dubost, Loic Peter, Christian Rupprecht +2
We propose a novel hands-free method to interactively segment 3D medical volumes. In our scenario, a human user progressively segments an organ by answering a series of questions o…
A Deep Metric for Multimodal Registration
Martin Simonovsky, Benjamín Gutiérrez-Becker, Diana Mateus +2
Multimodal registration is a challenging problem in medical imaging due the high variability of tissue appearance under different imaging modalities. The crucial component here is…
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari, Nassir Navab, Seyed-Ahmad Ahmadi
Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. Despite their popularity, most a…
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
Fausto Milletari, Seyed-Ahmad Ahmadi, Christine Kroll +8
In this work we propose a novel approach to perform segmentation by leveraging the abstraction capabilities of convolutional neural networks (CNNs). Our method is based on Hough vo…