Tommy Löfstedt

Orcid: 0000-0001-7119-7646

According to our database1, Tommy Löfstedt authored at least 27 papers between 2010 and 2024.

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

Timeline

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Links

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Bibliography

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

Compressing regularised dynamics improves link prediction in sparse networks.
CoRR, 2024

A Cost-Aware Approach to Adversarial Robustness in Neural Networks.
CoRR, 2024

A Correlation- and Mean-Aware Loss Function and Benchmarking Framework to Improve GAN-based Tabular Data Synthesis.
CoRR, 2024

Synthesizing multi-log grasp poses.
CoRR, 2024

A Systematic Approach to Robustness Modelling for Deep Convolutional Neural Networks.
CoRR, 2024

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

Safety-critical computer vision: an empirical survey of adversarial evasion attacks and defenses on computer vision systems.
Artif. Intell. Rev., October, 2023

LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space.
CoRR, 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

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

Network Regularization in Imaging Genetics Improves Prediction Performances and Model Interpretability on Alzheimer's Disease.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 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

2018
Structured Sparse Principal Components Analysis With the TV-Elastic Net Penalty.
IEEE Trans. Medical Imaging, 2018

Continuation of Nesterov's Smoothing for Regression With Structured Sparsity in High-Dimensional Neuroimaging.
IEEE Trans. Medical Imaging, 2018

Interpretable and stable prediction of schizophrenia on a large multisite dataset using machine learning with structured sparsity.
Proceedings of the 2018 International Workshop on Pattern Recognition in Neuroimaging, 2018

2014
Predictive support recovery with TV-Elastic Net penalty and logistic regression: An application to structural MRI.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2014

2012
Dynamic ultrasound imaging - A multivariate approach for the analysis and comparison of time-dependent musculoskeletal movements.
BMC Medical Imaging, 2012

2010
Modelling human musculoskeletal functional movements using ultrasound imaging.
BMC Medical Imaging, 2010


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