Tufve Nyholm

Orcid: 0000-0002-8971-9788

According to our database1, Tufve Nyholm authored at least 15 papers between 2008 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Compressing the Activation Maps in Deep Convolutional Neural Networks and Its Regularizing Effect.
Trans. Mach. Learn. Res., 2024

2023
Improving MR image quality with a multi-task model, using convolutional losses.
BMC Medical Imaging, December, 2023

Reproducibility of the Methods in Medical Imaging with Deep Learning.
Proceedings of the Medical Imaging with Deep Learning, 2023

2022
A Data-Adaptive Loss Function for Incomplete Data and Incremental Learning in Semantic Image Segmentation.
IEEE Trans. Medical Imaging, 2022

Region of Interest focused MRI to Synthetic CT Translation using Regression and Classification Multi-task Network.
CoRR, 2022

MRI bias field correction with an implicitly trained CNN.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

2021
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
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CoRR, 2021

Changing the Contrast of Magnetic Resonance Imaging Signals using Deep Learning.
Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020
A Question-Centric Model for Visual Question Answering in Medical Imaging.
IEEE Trans. Medical Imaging, 2020

Multi-decoder Networks with Multi-denoising Inputs for Tumor Segmentation.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019
Evaluation of Multi-Slice Inputs to Convolutional Neural Networks for Medical Image Segmentation.
CoRR, 2019

End-to-End Cascaded U-Nets with a Localization Network for Kidney Tumor Segmentation.
CoRR, 2019

Ensemble of Streamlined Bilinear Visual Question Answering Models for the ImageCLEF 2019 Challenge in the Medical Domain.
Proceedings of the Working Notes of CLEF 2019, 2019

TuNet: End-to-End Hierarchical Brain Tumor Segmentation Using Cascaded Networks.
Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2019

2008
Radiation therapy planning and simulation with magnetic resonance images.
Proceedings of the Medical Imaging 2008: Visualization, 2008


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