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Mads Nielsen

FAST-AID Brain: Fast and Accurate Segmentation Tool using Artificial Intelligence Developed for Brain

Aug 30, 2022
Mostafa Mehdipour Ghazi, Mads Nielsen

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Information Bottleneck: Exact Analysis of (Quantized) Neural Networks

Jun 24, 2021
Stephan Sloth Lorenzen, Christian Igel, Mads Nielsen

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CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal Data

Apr 08, 2021
Mostafa Mehdipour Ghazi, Lauge Sørensen, Sébastien Ourselin, Mads Nielsen

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Lung Segmentation from Chest X-rays using Variational Data Imputation

May 20, 2020
Raghavendra Selvan, Erik B. Dam, Sofus Rischel, Kaining Sheng, Mads Nielsen, Akshay Pai

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* Source code, training data and the trained models are available here: https://github.com/raghavian/lungVAE/

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Multi-Domain Adaptation in Brain MRI through Paired Consistency and Adversarial Learning

Sep 17, 2019
Mauricio Orbes-Arteaga, Thomas Varsavsky, Carole H. Sudre, Zach Eaton-Rosen, Lewis J. Haddow, Lauge Sørensen, Mads Nielsen, Akshay Pai, Sébastien Ourselin, Marc Modat, Parashkev Nachev, M. Jorge Cardoso

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* Accepted at 1st International Workshop on Domain Adaptation and Representation Transfer held at MICCAI 2019

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Knowledge distillation for semi-supervised domain adaptation

Aug 16, 2019
Mauricio Orbes-Arteaga, Jorge Cardoso, Lauge Sørensen, Christian Igel, Sebastien Ourselin, Marc Modat, Mads Nielsen, Akshay Pai

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* MLCN MICCAI workshop

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