| NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data A Montemurro, V Schuster, HR Povlsen, AK Bentzen, V Jurtz, ... Communications biology 4 (1), 1060, 2021 | 145 | 2021 |
| Benchmarking solutions to the T-cell receptor epitope prediction problem: IMMREP22 workshop report P Meysman, J Barton, B Bravi, L Cohen-Lavi, V Karnaukhov, E Lilleskov, ... ImmunoInformatics 9, 100024, 2023 | 51 | 2023 |
| NetTCR-2.1: Lessons and guidance on how to develop models for TCR specificity predictions A Montemurro, LE Jessen, M Nielsen Frontiers in Immunology, 7444, 2022 | 22 | 2022 |
| Benchmarking data-driven filtering for denoising of TCRpMHC single-cell data A Montemurro, HR Povlsen, LE Jessen, M Nielsen Scientific Reports 13 (1), 16147, 2023 | 3 | 2023 |
| Data-driven filtering for denoising of TCRpMHC single-cell data: a benchmark HR Povlsen, A Montemurro, LE Jessen, M Nielsen bioRxiv, 2023.02. 01.526310, 2023 | 2 | 2023 |
| IMPROVE, A FEATURE MODEL TO PREDICT NEOEPITOPE IMMUNOGENICITY THROUGH BROAD-SCALE VALIDATION OF T CELL RECOGNITION SR Hadrup, A Borch, I Carri, B Reynisson, HM Garcia Alvarez, ... Frontiers in Immunology 15, 1360281, 2023 | 1 | 2023 |
| Improved Immunoinformatic Methods for Rationale T Cell Epitope Discovery A Montemurro DTU Health Technology, 2022 | | 2022 |
| Temporal Convolutional Networks for Automatic ECG Features Extraction A Montemurro, JL Isaksen, T Hansen, A Linneberg, JK Kanters Journal of Electrocardiology 57, S106-S107, 2019 | | 2019 |
