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Efficient multi‐scale 3D CNN with fully connected CRF for accurate brain lesion segmentation
HIGHLIGHTSAn efficient 11‐layers deep, multi‐scale, 3D CNN architecture.A novel training strategy that significantly boosts performance.The first employment of a 3D fully connected CRF forExpand
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Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images
We address the problem of inferring the pose of an RGB-D camera relative to a known 3D scene, given only a single acquired image. Our approach employs a regression forest that is capable of inferringExpand
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Attention U-Net: Learning Where to Look for the Pancreas
We propose a novel attention gate (AG) model for medical imaging that automatically learns to focus on target structures of varying shapes and sizes. Models trained with AGs implicitly learn toExpand
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Dense image registration through MRFs and efficient linear programming
In this paper, we introduce a novel and efficient approach to dense image registration, which does not require a derivative of the employed cost function. In such a context, the registration problemExpand
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Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation
Incorporation of prior knowledge about organ shape and location is key to improve performance of image analysis approaches. In particular, priors can be useful in cases where images are corrupted andExpand
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ISLES 2015 ‐ A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
&NA; Ischemic stroke is the most common cerebrovascular disease, and its diagnosis, treatment, and study relies on non‐invasive imaging. Algorithms for stroke lesion segmentation from magneticExpand
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Automatic Localization and Identification of Vertebrae in Arbitrary Field-of-View CT Scans
This paper presents a new method for automatic localization and identification of vertebrae in arbitrary field-of-view CT scans. No assumptions are made about which section of the spine is visible orExpand
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Attention gated networks: Learning to leverage salient regions in medical images
Graphical abstract Figure. No Caption available. ABSTRACT We propose a novel attention gate (AG) model for medical image analysis that automatically learns to focus on target structures of varyingExpand
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Vertebrae Localization in Pathological Spine CT via Dense Classification from Sparse Annotations
Accurate localization and identification of vertebrae in spinal imaging is crucial for the clinical tasks of diagnosis, surgical planning, and post-operative assessment. The main difficulties forExpand
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Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR
We present a method for automatic segmentation of high-grade gliomas and their subregions from multi-channel MR images. Besides segmenting the gross tumor, we also differentiate between active cells,Expand
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