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2020 – today
- 2024
[i6]Ana Lawry Aguila, André Altmann:
A tutorial on multi-view autoencoders using the multi-view-AE library. CoRR abs/2403.07456 (2024)- [i5]Ayodeji Ijishakin, Ana Lawry Aguila, Elizabeth Levitis, Ahmed Abdulaal, André Altmann, James Cole:
Disentangled Diffusion Autoencoder for Harmonization of Multi-site Neuroimaging Data. CoRR abs/2408.15890 (2024) - 2023
- [j13]Ana Lawry Aguila
, Alejandra Jayme, Nina Montaña Brown, Vincent Heuveline, André Altmann:
Multi-view-AE: A Python package for multi-view autoencoder models. J. Open Source Softw. 8(86): 5093 (2023) - [j12]Hanyi Chen, Alexandra L. Young, Neil P. Oxtoby, Frederik Barkhof, Daniel C. Alexander, André Altmann:
Transferability of Alzheimer's disease progression subtypes to an independent population cohort. NeuroImage 271: 120005 (2023) - [c15]Ana Lawry Aguila, James Chapman, André Altmann:
Multi-modal Variational Autoencoders for Normative Modelling Across Multiple Imaging Modalities. MICCAI (1) 2023: 425-434 - [i4]Ana Lawry Aguila, James Chapman, André Altmann:
Multi-modal Variational Autoencoders for normative modelling across multiple imaging modalities. CoRR abs/2303.12706 (2023) - [i3]André Altmann, Ana C. Lawry Aguila, Neda Jahanshad, Paul M. Thompson, Marco Lorenzi:
Tackling the dimensions in imaging genetics with CLUB-PLS. CoRR abs/2309.07352 (2023) - 2022
- [j11]Suhnyoung Jun, Thomas H. Alderson, André Altmann, Sepideh Sadaghiani:
Dynamic trajectories of connectome state transitions are heritable. NeuroImage 256: 119274 (2022) - [c14]Federica Cruciani, André Altmann, Marco Lorenzi, Gloria Menegaz, Ilaria Boscolo Galazzo:
What PLS can still do for Imaging Genetics in Alzheimer's disease. BHI 2022: 1-4 - [c13]Ana Lawry Aguila, James Chapman, Mohammed Janahi, André Altmann:
Conditional VAEs for Confound Removal and Normative Modelling of Neurodegenerative Diseases. MICCAI (1) 2022: 430-440 - 2021
- [j10]Marzia Antonella Scelsi, Valerio Napolioni, Michael D. Greicius, André Altmann, Alzheimer's Disease Neuroimaging Initiative, Alzheimer's Disease Sequencing Project:
Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities. PLoS Comput. Biol. 17(1) (2021) - [j9]Leon M. Aksman, Peter A. Wijeratne, Neil P. Oxtoby, Arman Eshaghi, Cameron Shand, André Altmann, Daniel C. Alexander, Alexandra L. Young:
pySuStaIn: A Python implementation of the Subtype and Stage Inference algorithm. SoftwareX 16: 100811 (2021) - [c12]Heba Elshatoury, Federica Cruciani, Francesco Zumerle, Silvia Francesca Storti, André Altmann, Marco Lorenzi, Gholamreza Anbarjafari, Gloria Menegaz, Ilaria Boscolo Galazzo:
Disentangling the association between genetics and functional connectivity in Mild Cognitive Impairment. BHI 2021: 1-4 - [c11]Guglielmo Cerri, Manuel Tognon, André Altmann, Rosalba Giugno:
Mining genetic, transcriptomic and imaging data in Parkinson's disease. ICHI 2021: 556-557 - [c10]Liam F. Chalcroft, Jiongqi Qu, Sophie A. Martin, Iani J. M. B. Gayo, Giulio V. Minore, Imraj R. D. Singh, Shaheer U. Saeed, Qianye Yang, Zachary M. C. Baum, André Altmann, Yipeng Hu:
Development and Evaluation of Intraoperative Ultrasound Segmentation with Negative Image Frames and Multiple Observer Labels. ASMUS@MICCAI 2021: 25-34 - [i2]Liam F. Chalcroft, Jiongqi Qu, Sophie A. Martin, Iani J. M. B. Gayo, Giulio V. Minore, Imraj R. D. Singh, Shaheer U. Saeed, Qianye Yang, Zachary M. C. Baum, André Altmann, Yipeng Hu:
Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels. CoRR abs/2108.04114 (2021) - 2020
- [c9]Santiago Silva, André Altmann, Boris Gutman, Marco Lorenzi:
Fed-BioMed: A General Open-Source Frontend Framework for Federated Learning in Healthcare. DART/DCL@MICCAI 2020: 201-210
2010 – 2019
- 2019
- [c8]Santiago Silva, Boris A. Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi:
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. ISBI 2019: 270-274 - [c7]André Altmann, Janaina Mourão Miranda:
Evidence For Bias Of Genetic Ancestry In Resting State Functional MRI. ISBI 2019: 275-279 - 2018
- [j8]Marco Lorenzi, André Altmann, Boris Gutman, Selina Wray, Charles Arber, Derrek P. Hibar, Neda Jahanshad, Jonathan M. Schott, Daniel C. Alexander, Paul M. Thompson, Sébastien Ourselin:
Susceptibility of brain atrophy to TRIB3 in Alzheimer's disease, evidence from functional prioritization in imaging genetics. Proc. Natl. Acad. Sci. USA 115(12): 3162-3167 (2018) - [i1]Santiago Silva, Boris Gutman, Eduardo Romero, Paul M. Thompson, André Altmann, Marco Lorenzi:
Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data. CoRR abs/1810.08553 (2018) - 2016
- [j7]André Altmann, Manuel S. Schröter, Victor I. Spoormaker, S. A. Kiem, Denis Jordan, Rüdiger Ilg, Edward T. Bullmore, Michael D. Greicius, Michael Czisch, Philipp G. Sämann:
Validation of non-REM sleep stage decoding from resting state fMRI using linear support vector machines. NeuroImage 125: 544-555 (2016) - [c6]Marco Lorenzi, Boris Gutman, Derrek P. Hibar, André Altmann, Neda Jahanshad, Paul M. Thompson, Sébastien Ourselin:
Partial least squares modelling for imaging-genetics in Alzheimer's disease: Plausibility and generalization. ISBI 2016: 838-841 - 2015
- [c5]Bernard Ng, Anna-Clare Milazzo, André Altmann:
Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity Graphs. MLMI 2015: 44-51 - [c4]André Altmann, Bernard Ng:
Joint Feature Extraction from Functional Connectivity Graphs with Multi-task Feature Learning. PRNI 2015: 29-32 - 2013
- [c3]Jonas Richiardi, André Altmann, Michael D. Greicius:
Two Test Statistics for Cross-Modal Graph Community Significance. PRNI 2013: 70-73 - 2011
- [j6]André Altmann, Peter Weber, Carina Quast, Monika Rex-Haffner, Elisabeth B. Binder, Bertram Müller-Myhsok:
vipR: variant identification in pooled DNA using R. Bioinform. 27(13): 77-84 (2011) - 2010
- [b1]André Altmann:
Bioinformatical approaches to ranking of anti-HIV combination therapies and planning of treatment schedules. Saarland University, 2010 - [j5]André Altmann, Laura Tolosi, Oliver Sander, Thomas Lengauer:
Permutation importance: a corrected feature importance measure. Bioinform. 26(10): 1340-1347 (2010) - [j4]Jasmina Bogojeska, Steffen Bickel, André Altmann, Thomas Lengauer:
Dealing with sparse data in predicting outcomes of HIV combination therapies. Bioinform. 26(17): 2085-2092 (2010) - [j3]Thomas Lengauer, André Altmann, Alexander Thielen, Rolf Kaiser:
Chasing the AIDS virus. Commun. ACM 53(3): 66-74 (2010)
2000 – 2009
- 2009
- [j2]Thomas Lengauer, André Altmann, Alexander Thielen:
Bioinformatische Unterstützung der Auswahl von HIV-Therapien. Inform. Spektrum 32(4): 320-331 (2009) - [c2]Juliane Perner, André Altmann, Thomas Lengauer:
Semi-Supervised Learning for Improving Prediction of HIV Drug Resistance. GCB 2009: 55-65 - 2008
- [j1]Jasmina Bogojeska, Adrian Alexa, André Altmann, Thomas Lengauer, Jörg Rahnenführer:
Rtreemix: an R package for estimating evolutionary pathways and genetic progression scores. Bioinform. 24(20): 2391-2392 (2008) - [c1]Michal Rosen-Zvi, André Altmann, Mattia Prosperi, Ehud Aharoni, Hani Neuvirth, Anders Sönnerborg, Eugen Schülter, Daniel Struck, Yardena Peres, Francesca Incardona, Rolf Kaiser, Maurizio Zazzi, Thomas Lengauer:
Selecting anti-HIV therapies based on a variety of genomic and clinical factors. ISMB 2008: 399-406
Coauthor Index
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