André Altmann

Orcid: 0000-0002-9265-2393

According to our database1, André Altmann authored at least 31 papers between 2008 and 2024.

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

Timeline

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PhD thesis 
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Bibliography

2024
A tutorial on multi-view autoencoders using the multi-view-AE library.
CoRR, 2024

2023
Multi-view-AE: A Python package for multi-view autoencoder models.
J. Open Source Softw., June, 2023

Transferability of Alzheimer's disease progression subtypes to an independent population cohort.
NeuroImage, May, 2023

Tackling the dimensions in imaging genetics with CLUB-PLS.
CoRR, 2023

Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging Modalities.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Dynamic trajectories of connectome state transitions are heritable.
NeuroImage, 2022

Conditional VAEs for Confound Removal and Normative Modelling of Neurodegenerative Diseases.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

What PLS can still do for Imaging Genetics in Alzheimer's disease.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm.
SoftwareX, 2021

Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities.
PLoS Comput. Biol., 2021

Development and Evaluation of Intraoperative Ultrasound Segmentation with Negative Image Frames and Multiple Observer Labels.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021

Mining genetic, transcriptomic and imaging data in Parkinson's disease.
Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021

2020
Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

2019
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Evidence For Bias Of Genetic Ancestry In Resting State Functional MRI.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018
Susceptibility of brain atrophy to <i>TRIB3</i> in Alzheimer's disease, evidence from functional prioritization in imaging genetics.
Proc. Natl. Acad. Sci. USA, 2018

2016
Validation of non-REM sleep stage decoding from resting state fMRI using linear support vector machines.
NeuroImage, 2016

Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Joint Feature Extraction from Functional Connectivity Graphs with Multi-task Feature Learning.
Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity Graphs.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

2013
Two Test Statistics for Cross-Modal Graph Community Significance.
Proceedings of the International Workshop on Pattern Recognition in Neuroimaging, 2013

2011
vipR: variant identification in pooled DNA using R.
Bioinform., 2011

2010
Bioinformatical approaches to ranking of anti-HIV combination therapies and planning of treatment schedules.
PhD thesis, 2010

Chasing the AIDS virus.
Commun. ACM, 2010

Dealing with sparse data in predicting outcomes of HIV combination therapies.
Bioinform., 2010

Permutation importance: a corrected feature importance measure.
Bioinform., 2010

2009
Bioinformatische Unterstützung der Auswahl von HIV-Therapien.
Inform. Spektrum, 2009

Semi-Supervised Learning for Improving Prediction of HIV Drug Resistance.
Proceedings of the German Conference on Bioinformatics 2009, 2009

2008
Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores.
Bioinform., 2008

Selecting anti-HIV therapies based on a variety of genomic and clinical factors.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008


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