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Real-World Multi-Domain Data Applications for Generalizations to Clinical Settings
With promising results of machine learning based models in computer visi...
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Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization
We introduce a novel ensembling method, Random Bundle (RB), that improve...
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Brain Metastasis Segmentation Network Trained with Robustness to Annotations with Multiple False Negatives
Deep learning has proven to be an essential tool for medical image analy...
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Handling Missing MRI Input Data in Deep Learning Segmentation of Brain Metastases: A Multi-Center Study
The purpose was to assess the clinical value of a novel DropOut model fo...
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MRI Pulse Sequence Integration for Deep-Learning Based Brain Metastasis Segmentation
Magnetic resonance (MR) imaging is an essential diagnostic tool in clini...
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DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences
We present DeepPerimeter, a deep learning based pipeline for inferring a...
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Deep Learning Enables Automatic Detection and Segmentation of Brain Metastases on Multi-Sequence MRI
Detecting and segmenting brain metastases is a tedious and time-consumin...
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CT organ segmentation using GPU data augmentation, unsupervised labels and IOU loss
Fully-convolutional neural networks have achieved superior performance i...
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Institutionally Distributed Deep Learning Networks
Deep learning has become a promising approach for automated medical diag...
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Optimizing and Visualizing Deep Learning for Benign/Malignant Classification in Breast Tumors
Breast cancer has the highest incidence and second highest mortality rat...
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3-D Convolutional Neural Networks for Glioblastoma Segmentation
Convolutional Neural Networks (CNN) have emerged as powerful tools for l...
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