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A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation


Apr 22, 2021
Minh H. Vu, Gabriella Norman, Tufve Nyholm, Tommy Löfstedt


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Multi-Decoder Networks with Multi-Denoising Inputs for Tumor Segmentation


Nov 16, 2020
Minh H. Vu, Tufve Nyholm, Tommy Löfstedt


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A Question-Centric Model for Visual Question Answering in Medical Imaging


Mar 02, 2020
Minh H. Vu, Tommy Löfstedt, Tufve Nyholm, Raphael Sznitman

* Accepted at IEEE Transactions on Medical Imaging 

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Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation


Dec 22, 2019
Minh H. Vu, Guus Grimbergen, Tufve Nyholm, Tommy Löfstedt


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End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation


Oct 16, 2019
Minh H. Vu, Guus Grimbergen, Attila Simkó, Tufve Nyholm, Tommy Löfstedt

* 2019 Kidney Tumor Segmentation Challenge 

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TuNet: End-to-end Hierarchical Brain Tumor Segmentation using Cascaded Networks


Oct 11, 2019
Minh H. Vu, Tufve Nyholm, Tommy Löfstedt

* Accepted at MICCAI BrainLes 2019 

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A general multiblock method for structured variable selection


Oct 29, 2016
Tommy Löfstedt, Fouad Hadj-Selem, Vincent Guillemot, Cathy Philippe, Nicolas Raymond, Edouard Duchesney, Vincent Frouin, Arthur Tenenhaus

* 24 pages, 5 figures 

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Structured Sparse Principal Components Analysis with the TV-Elastic Net penalty


Sep 14, 2016
Amicie de Pierrefeu, Tommy Löfstedt, Fouad Hadj-Selem, Mathieu Dubois, Philippe Ciuciu, Vincent Frouin, Edouard Duchesnay

* 10 pages, 4 figures 

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