| 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 | 214 | 2019 |
| Lazar: a modular predictive toxicology framework A Maunz, M Gütlein, M Rautenberg, D Vorgrimmler, D Gebele, C Helma Frontiers in pharmacology 4, 38, 2013 | 140 | 2013 |
| 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 | 128 | 2010 |
| 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 | 62 | 2019 |
| 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 | 61 | 2019 |
| 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 | 50 | 2008 |
| Combinatorial QSAR modeling of human intestinal absorption C Suenderhauf, F Hammann, A Maunz, C Helma, J Huwyler Molecular pharmaceutics 8 (1), 213-224, 2011 | 36 | 2011 |
| 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 | 31 | 2017 |
| 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 | 29 | 2009 |
| 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 | 20 | 2009 |
| 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 | 14 | 2014 |
| 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 | 13 | 2022 |
| Efficient mining for structurally diverse subgraph patterns in large molecular databases A Maunz, C Helma, S Kramer Machine Learning 83, 193-218, 2011 | 13 | 2011 |
| Unsupervised Domain Adaptation with Contrastive Learning for OCT Segmentation A Gomariz, H Lu, YY Li, T Albrecht, A Maunz, F Benmansour, ... International Conference on Medical Image Computing and Computer-Assisted
, 2022 | 8 | 2022 |
| 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 | 8 | 2020 |
| Latent structure pattern mining A Maunz, C Helma, T Cramer, S Kramer Joint European Conference on Machine Learning and Knowledge Discovery in
, 2010 | 8 | 2010 |
| Accuracy of a machine-learning algorithm for detecting and classifying choroidal neovascularization on spectral-domain optical coherence tomography A Maunz, F Benmansour, Y Li, T Albrecht, YP Zhang, F Arcadu, Y Zheng, ... Journal of Personalized Medicine 11 (6), 524, 2021 | 6 | 2021 |
| 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 | 5 | 2019 |
| 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 | 5 | 2016 |
| Combinatorial QSAR modeling of human intestinal absorption Mol C Suenderhauf, F Hammann, A Maunz, C Helma, J Huwyler Pharmaceutics 8 (1), 213-224, 2011 | 5 | 2011 |
Fethallah BenmansourPatvirtintas el. paštas roche.com
