Tom Vercauteren · researcher · YYNN

Tom Vercauteren

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researcher

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Works
10

Weakly-supervised convolutional neural networks for multimodal image registration

scholarly article by Yipeng Hu et al published October 2018 in Medical Image Analysis

Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning

scholarly article by Guotai Wang et al published July 2018 in IEEE Transactions on Medical Imaging

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

scientific article published on 06 November 2019

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation

scientific article published on 13 August 2019

Intraoperative Organ Motion Models with an Ensemble of Conditional Generative Adversarial Networks

Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation

Freehand Ultrasound Image Simulation with Spatially-Conditioned Generative Adversarial Networks

GIFT-Grab: Real-time C++ and Python Multi-channel Video Capture, Processing and Encoding API

NiftyNet: a deep-learning platform for medical imaging.

scientific article published on 31 January 2018

Label-driven weakly-supervised learning for multimodal deformarle image registration

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