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10/20/2022
Reproducibility of the Methods in Medical Imaging with Deep Learning
Concerns about the reproducibility of deep learning research are more pr...
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03/30/2022
Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network
In this work, we present a method for synthetic CT (sCT) generation from...
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04/22/2021
A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation
In the last years, deep learning has dramatically improved the performan...
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12/19/2019
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation
When using Convolutional Neural Networks (CNNs) for segmentation of orga...
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10/16/2019
End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation
Kidney tumor segmentation emerges as a new frontier of computer vision i...
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10/11/2019
TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks
Glioma is one of the most common types of brain tumors arising in the gl...
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07/07/2016