Darvin Yi

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Magic Leap, Inc. ∙ Stanford University ∙ University of Illinois at Chicago

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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...
07/24/2020 ∙ by Nooshin Mojab, et al. ∙ 0 ∙ share

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Random Bundle: Brain Metastases Segmentation Ensembling through Annotation Randomization

We introduce a novel ensembling method, Random Bundle (RB), that improve...
02/23/2020 ∙ by Darvin Yi, et al. ∙ 0 ∙ share

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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...
01/26/2020 ∙ by Darvin Yi, et al. ∙ 0 ∙ share

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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...
12/27/2019 ∙ by Endre Grøvik, et al. ∙ 11 ∙ share

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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...
12/18/2019 ∙ by Darvin Yi, et al. ∙ 24 ∙ share

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DeepPerimeter: Indoor Boundary Estimation from Posed Monocular Sequences

We present DeepPerimeter, a deep learning based pipeline for inferring a...
04/25/2019 ∙ by Ameya Phalak, et al. ∙ 10 ∙ share

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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...
03/18/2019 ∙ by Endre Grøvik, et al. ∙ 0 ∙ share

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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...
11/27/2018 ∙ by Blaine Rister, et al. ∙ 0 ∙ share

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Institutionally Distributed Deep Learning Networks

Deep learning has become a promising approach for automated medical diag...
09/10/2017 ∙ by Ken Chang, et al. ∙ 0 ∙ share

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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...
05/17/2017 ∙ by Darvin Yi, et al. ∙ 0 ∙ share

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3-D Convolutional Neural Networks for Glioblastoma Segmentation

Convolutional Neural Networks (CNN) have emerged as powerful tools for l...
11/14/2016 ∙ by Darvin Yi, et al. ∙ 0 ∙ share

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