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Esophageal Tumor Segmentation in CT Images using a 3D Convolutional Neural Network
Manual or automatic delineation of the esophageal tumor in CT images is ...
12/06/2020 ∙ by Sahar Yousefi, et al. ∙
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A Cross-Stitch Architecture for Joint Registration and Segmentation in Adaptive Radiotherapy
Recently, joint registration and segmentation has been formulated in a d...
04/17/2020 ∙ by Laurens Beljaards, et al. ∙
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An Adaptive Intelligence Algorithm for Undersampled Knee MRI Reconstruction: Application to the 2019 fastMRI Challenge
Adaptive intelligence aims at empowering machine learning techniques wit...
04/15/2020 ∙ by Nicola Pezzotti, et al. ∙
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Patient-Specific Finetuning of Deep Learning Models for Adaptive Radiotherapy in Prostate CT
Contouring of the target volume and Organs-At-Risk (OARs) is a crucial s...
02/17/2020 ∙ by Mohamed S. Elmahdy, et al. ∙
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Fast Dynamic Perfusion and Angiography Reconstruction using an end-to-end 3D Convolutional Neural Network
Hadamard time-encoded pseudo-continuous arterial spin labeling (te-pCASL...
08/24/2019 ∙ by Sahar Yousefi, et al. ∙
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Adversarial optimization for joint registration and segmentation in prostate CT radiotherapy
Joint image registration and segmentation has long been an active area o...
06/28/2019 ∙ by Mohamed S. Elmahdy, et al. ∙
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