| Transfer learning with deep convolutional neural networks for classifying cellular morphological changes A Kensert, PJ Harrison, O Spjuth SLAS Discovery: Advancing Life Sciences R&D 24 (4), 466-475, 2019 | 167 | 2019 |
| Evaluating parameters for ligand-based modeling with random forest on sparse data sets A Kensert, J Alvarsson, U Norinder, O Spjuth Journal of cheminformatics 10 (1), 49, 2018 | 39 | 2018 |
| Deep convolutional autoencoder for the simultaneous removal of baseline noise and baseline drift in chromatograms A Kensert, G Collaerts, K Efthymiadis, P Van Broeck, G Desmet, ... Journal of Chromatography A 1646, 462093, 2021 | 19 | 2021 |
| Graph convolutional networks for improved prediction and interpretability of chromatographic retention data A Kensert, R Bouwmeester, K Efthymiadis, P Van Broeck, G Desmet, ... Analytical Chemistry 93 (47), 15633-15641, 2021 | 18 | 2021 |
| Deep Q-learning for the selection of optimal isocratic scouting runs in liquid chromatography A Kensert, G Collaerts, K Efthymiadis, G Desmet, D Cabooter Journal of Chromatography A 1638, 461900, 2021 | 14 | 2021 |
| Multi‐model averaging improves the performance of model‐guided infliximab dosing in patients with inflammatory bowel diseases W Kantasiripitak, A Outtier, SG Wicha, A Kensert, Z Wang, J Sabino, ... CPT: Pharmacometrics & Systems Pharmacology 11 (8), 1045-1059, 2022 | 11 | 2022 |
| Convolutional neural network for automated peak detection in reversed-phase liquid chromatography A Kensert, E Bosten, G Collaerts, K Efthymiadis, P Van Broeck, G Desmet, ... Journal of Chromatography A 1672, 463005, 2022 | 9 | 2022 |
| Transfer learning with deep convolutional neural networks for classifying cellular morphological changes, SLAS Discov., 24 (2019), 466–475 A Kensert, PJ Harrison, O Spjuth | 3 | |
| MolGraph: a Python package for the implementation of small molecular graphs and graph neural networks with TensorFlow and Keras A Kensert, G Desmet, D Cabooter arXiv preprint arXiv:2208.09944, 2022 | 2 | 2022 |
| A perspective on the use of deep deterministic policy gradient reinforcement learning for retention time modeling in reversed-phase liquid chromatography A Kensert, G Desmet, D Cabooter Journal of Chromatography A 1713, 464570, 2024 | 1 | 2024 |
| Automated method development in high-pressure liquid chromatography B Emery, A Kensert, G Desmet, C Deirdre Journal of Chromatography A, 464577, 2023 | 1 | 2023 |
| Deep reinforcement learning for the direct optimization of gradient separations in liquid chromatography A Kensert, P Libin, G Desmet, D Cabooter Journal of Chromatography A, 464768, 2024 | | 2024 |
| Exploring deep reinforcement learning for method development in liquid chromatography D Cabooter, A Kensert, G Desmet 5th International Symposium on Advances in Pharmaceutical Analysis (APA 2023 …, 2023 | | 2023 |
| Separation Science: The State of the Art: Graph Neural Networks for Improved Retention Time Predictions A Kensert, G Desmet, D Cabooter LCGC Europe 35 (10), 410–413-410–413, 2022 | | 2022 |
| Developing machine learning algorithms for chromatographic method development A Kensert | | 2022 |
| Possibilities of machine learning for automation of method development in liquid chromatography A Kensert, E Bosten, G Collaerts, K Efthymiadis, P Van Broeck, G Desmet, ... 50th International Symposium on High Performance Liquid Phase Separations …, 2022 | | 2022 |
| Selecting optimal scouting runs for retention modelling in reversed phase liquid chromatography G Collaerts, A Kensert, E Bosten, P Van Broeck, G Desmet, D Cabooter 17th International Symposium on Hyphenated Techniques in Chromatography and …, 2022 | | 2022 |
| Segmentation-based natural cubic splines and k-nearest neighbours for automated chromatogram smoothening E Bosten, A Kensert, G Collaerts, P Van Broeck, D Cabooter 17th International Symposium on Hyphenated Techniques in Chromatography and …, 2022 | | 2022 |
| Graph neural networks for improved retention time predictions and molecular identification A Kensert, R Bouwmeester, K Efthymiadis, P Van Broeck, G Desmet, ... 17th International Symposium on Hyphenated Techniques in Chromatography and …, 2022 | | 2022 |
| Developing machine learning algorithms for chromatographic method development: focusing on applications for high-performance liquid chromatography A Kensert | | 2022 |
Kyriakos EfthymiadisPostdoctoral Researcher Vrije Universiteit BrusselAdresse e-mail validée de vub.be
