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10/29/2021
CvS: Classification via Segmentation For Small Datasets
Deep learning models have shown promising results in a wide range of com...
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06/07/2021
AutoPtosis
Blepharoptosis, or ptosis as it is more commonly referred to, is a condi...
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07/24/2020
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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02/23/2020
Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization
We introduce a novel ensembling method, Random Bundle (RB), that improve...
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01/26/2020
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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12/27/2019
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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12/18/2019
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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04/25/2019
DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences
We present DeepPerimeter, a deep learning based pipeline for inferring a...
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03/18/2019
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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11/27/2018
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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09/10/2017
Institutionally Distributed Deep Learning Networks
Deep learning has become a promising approach for automated medical diag...
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05/17/2017
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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11/14/2016
