Andreas Maunz
Andreas Maunz
F. Hoffmann-La Roche AG, Basel
Email verificata su - Home page
Citata da
Citata da
Collaborative development of predictive toxicology applications
B Hardy, N Douglas, C Helma, M Rautenberg, N Jeliazkova, V Jeliazkov, ...
Journal of cheminformatics 2 (1), 7, 2010
Lazar: a modular predictive toxicology framework
A Maunz, M Gütlein, M Rautenberg, D Vorgrimmler, D Gebele, C Helma
Frontiers in pharmacology 4, 38, 2013
Prediction of chemical toxicity with local support vector regression and activity-specific kernels
A Maunz, C Helma
SAR and QSAR in Environmental Research 19 (5-6), 413-431, 2008
Deep learning algorithm predicts diabetic retinopathy progression in individual patients
F Arcadu, F Benmansour, A Maunz, J Willis, Z Haskova, M Prunotto
NPJ digital medicine 2 (1), 1-9, 2019
Combinatorial QSAR modeling of human intestinal absorption
C Suenderhauf, F Hammann, A Maunz, C Helma, J Huwyler
Molecular pharmaceutics 8 (1), 213-224, 2011
Development of decision tree models for substrates, inhibitors, and inducers of p-glycoprotein
F Hammann, H Gutmann, U Jecklin, A Maunz, C Helma, J Drewe
Current drug metabolism 10 (4), 339-346, 2009
Deep learning predicts OCT measures of diabetic macular thickening from color fundus photographs
F Arcadu, F Benmansour, A Maunz, J Michon, Z Haskova, D McClintock, ...
Investigative ophthalmology & visual science 60 (4), 852-857, 2019
Large-scale graph mining using backbone refinement classes
A Maunz, C Helma, S Kramer
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
Efficient mining for structurally diverse subgraph patterns in large molecular databases
A Maunz, C Helma, S Kramer
Machine Learning 83 (2), 193-218, 2011
Machine learning-powered antibiotics phenotypic drug discovery
S Zoffmann, M Vercruysse, F Benmansour, A Maunz, L Wolf, RB Marti, ...
Scientific reports 9 (1), 1-14, 2019
Inhibition of EGF uptake by nephrotoxic antisense drugs in vitro and implications for preclinical safety profiling
A Moisan, M Gubler, JD Zhang, Y Tessier, KD Erichsen, S Sewing, ...
Molecular Therapy-Nucleic Acids 6, 89-105, 2017
Automated and reproducible read-across like models for predicting carcinogenic potency
EL Piparo, A Maunz, C Helma, D Vorgrimmler, B Schilter
Regulatory Toxicology and Pharmacology 70 (1), 370-378, 2014
Latent structure pattern mining
A Maunz, C Helma, T Cramer, S Kramer
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2010
Innovative strategies to develop chemical categories using a combination of structural and toxicological properties
M Batke, M Gütlein, F Partosch, U Gundert-Remy, C Helma, S Kramer, ...
Frontiers in pharmacology 7, 321, 2016
Multi‐label‐classification to predict repeated dose toxicity in the context of REACH
M Batke, A Bitsch, U Gundert‐Remy, M Guetlein, C Helma, S Kramer, ...
Naunyn Schmiedebergs Arch Pharmacol 387, S45, 2014
Prediction of toxic effects of pharmaceutical agents
A Maunz, C Helma
Pharmaceutical Data Mining, 145, 2010
A machine learning approach to predict response to anti-VEGF treatment in patients with neovascular age-related macular degeneration using SD-OCT
JN Sahni, A Maunz, F Arcadu, YP Zhang_Schaerer, Y Li, T Albrecht, ...
Investigative Ophthalmology & Visual Science 60 (11), PB094-PB094, 2019
Deep learning predicts OCT measures of diabetic macular thickening from color fundus photographs
JR Willis, F Arcadu, F Benmansour, A Maunz, J Michon, Z Haskova, ...
Investigative Ophthalmology & Visual Science 60 (9), 1538-1538, 2019
Extracting information from support vector machines for pattern-based classification
M Seeland, A Maunz, A Karwath, S Kramer
Proceedings of the 29th Annual ACM Symposium on Applied Computing, 129-136, 2014
Development and External Validation of a Machine Learning Model for Predicting Response to anti-VEGF Treatment in Patients with neovascular AMD
IL Jones, A Maunz, T Albrecht, H Lu, Y Li, F Benmansour, JN Sahni, ...
Investigative Ophthalmology & Visual Science 61 (9), PP007-PP007, 2020
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