Stebėti
Andreas Maunz
Andreas Maunz
F. Hoffmann-La Roche AG, Basel
Patvirtintas el. paštas maunz.de - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
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), 92, 2019
1842019
Lazar: a modular predictive toxicology framework
A Maunz, M Gütlein, M Rautenberg, D Vorgrimmler, D Gebele, C Helma
Frontiers in pharmacology 4, 38, 2013
1292013
Collaborative development of predictive toxicology applications
B Hardy, N Douglas, C Helma, M Rautenberg, N Jeliazkova, V Jeliazkov, ...
Journal of cheminformatics 2 (1), 1-29, 2010
1262010
Machine learning-powered antibiotics phenotypic drug discovery
S Zoffmann, M Vercruysse, F Benmansour, A Maunz, L Wolf, R Blum Marti, ...
Scientific reports 9 (1), 5013, 2019
572019
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
522019
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
492008
Combinatorial QSAR modeling of human intestinal absorption
C Suenderhauf, F Hammann, A Maunz, C Helma, J Huwyler
Molecular pharmaceutics 8 (1), 213-224, 2011
342011
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
302009
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
282017
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
192009
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
132014
Efficient mining for structurally diverse subgraph patterns in large molecular databases
A Maunz, C Helma, S Kramer
Machine Learning 83, 193-218, 2011
132011
Anti-VEGF-resistant subretinal fluid is associated with better vision and reduced risk of macular atrophy
MA Zarbin, L Hill, A Maunz, M Gliem, I Stoilov
British Journal of Ophthalmology 106 (11), 1561-1566, 2022
112022
Latent structure pattern mining
A Maunz, C Helma, T Cramer, S Kramer
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2010
82010
Deep learning algorithm predicts diabetic retinopathy progression in individual patients. Npj Digital Medicine, 2 (1)
F Arcadu, F Benmansour, A Maunz, J Willis, Z Haskova, M Prunotto
Article, 2019
62019
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
52016
Combinatorial QSAR modeling of human intestinal absorption Mol
C Suenderhauf, F Hammann, A Maunz, C Helma, J Huwyler
Pharmaceutics 8 (1), 213-224, 2011
52011
Author Correction: 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 3 (1), 160, 2020
42020
Deep learning algorithm for patient-level prediction of diabetic retinopathy (DR) response to vascular endothelial growth factor (VEGF) inhibition
F Arcadu, F Benmansour, A Maunz, JR Willis, M Prunotto, Z Haskova
Investigative Ophthalmology & Visual Science 60 (9), 2806-2806, 2019
42019
Deep learning algorithm predicts diabetic retinopathy progression in individual patients. NPJ Digit. Med. 2, 92 (2019)
F Arcadu, F Benmansour, A Maunz, J Willis, Z Haskova, M Prunotto
4
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