| Minimizing acquisition-related radiomics variability by image resampling and batch effect correction to allow for large-scale data analysis M Ligero, O Jordi-Ollero, K Bernatowicz, A Garcia-Ruiz, ... European radiology 31, 1460-1470, 2021 | 106 | 2021 |
| A CT-based radiomics signature is associated with response to immune checkpoint inhibitors in advanced solid tumors M Ligero, A Garcia-Ruiz, C Viaplana, G Villacampa, MV Raciti, J Landa, ... Radiology 299 (1), 109-119, 2021 | 65 | 2021 |
| Facts and hopes on the use of artificial intelligence for predictive immunotherapy biomarkers in cancer N Ghaffari Laleh, M Ligero, R Perez-Lopez, JN Kather Clinical Cancer Research 29 (2), 316-323, 2023 | 29 | 2023 |
| Precise enhancement quantification in post-operative MRI as an indicator of residual tumor impact is associated with survival in patients with glioblastoma A Garcia-Ruiz, P Naval-Baudin, M Ligero, A Pons-Escoda, J Bruna, ... Scientific Reports 11 (1), 695, 2021 | 28 | 2021 |
| Robust imaging habitat computation using voxel-wise radiomics features K Bernatowicz, F Grussu, M Ligero, A Garcia, E Delgado, R Perez-Lopez Scientific reports 11 (1), 20133, 2021 | 14 | 2021 |
| Selection of radiomics features based on their reproducibility M Ligero, G Torres, C Sanchez, K Diaz-Chito, R Perez, D Gil 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 14 | 2019 |
| Artificial intelligence combining radiomics and clinical data for predicting response to immunotherapy M Ligero, A Garcia-Ruiz, C Viaplana, MV Raciti, I Matos, JM Liberal, ... Annals of Oncology 30, v476, 2019 | 3 | 2019 |
| Hyperprogressive disease in patients with metastatic genitourinary tumors treated with immune checkpoint inhibitors. C Suárez, R Morales-Barrera, A Garcia-Ruiz, M Gonzalez, M Ligero, ... Journal of Clinical Oncology 37 (7_suppl), 448-448, 2019 | 3 | 2019 |
| In-context learning enables multimodal large language models to classify cancer pathology images D Ferber, G Wölflein, IC Wiest, M Ligero, S Sainath, NG Laleh, ... arXiv preprint arXiv:2403.07407, 2024 | 2 | 2024 |
| Identification of precise 3D CT radiomics for habitat computation by machine learning in cancer O Prior, C Macarro, V Navarro, C Monreal, M Ligero, A Garcia-Ruiz, ... Radiology: Artificial Intelligence 6 (2), e230118, 2024 | 1 | 2024 |
| Simultaneous prediction of tumor microenvironment biomarkers from pathology slides using multi-task deep regression OSE Nahhas, M Ligero, JN Kather Cancer Research 84 (6_Supplement), 6191-6191, 2024 | | 2024 |
| An accessible deep learning tool for voxel-wise classification of brain malignancies from perfusion MRI A Garcia-Ruiz, A Pons-Escoda, F Grussu, P Naval-Baudin, ... Cell Reports Medicine 5 (3), 2024 | | 2024 |
| Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology T Lenz, OSM El Nahhas, M Ligero, JN Kather arXiv preprint arXiv:2403.04558, 2024 | | 2024 |
| Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology OSM El Nahhas, G Wölflein, M Ligero, T Lenz, M van Treeck, F Khader, ... arXiv preprint arXiv:2403.03891, 2024 | | 2024 |
| A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking? B Gielen, P Cresta Morgado, O Prior, M Ligero, V Navarro Garces, ... Nature Portfolio, 2024 | | 2024 |
| A whirl of radiomics-based biomarkers in cancer immunotherapy, why is large scale validation still lacking? M Ligero, B Gielen, V Navarro, P Cresta Morgado, O Prior, R Dienstmann, ... NPJ Precision Oncology 8 (1), 42, 2024 | | 2024 |
| Weakly supervised deep learning predicts immunotherapy response in solid tumors based on PD-L1 expression M Ligero, G Serna, OSM El Nahhas, I Sansano, S Mauchanski, ... Cancer Research Communications 4 (1), 92-102, 2024 | | 2024 |
| From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology OSM El Nahhas, M van Treeck, G Wölflein, M Unger, M Ligero, T Lenz, ... arXiv preprint arXiv:2312.10944, 2023 | | 2023 |
| PET‐based radiomics signature can predict durable responses to CAR T‐cell therapy in patients with large B‐cell lymphoma M Ligero, M Simó, C Carpio, G Iacoboni, M Balaguer‐Montero, V Navarro, ... EJHaem 4 (4), 1081-1088, 2023 | | 2023 |
| 1063P Differential tumor responses are a poor prognostic factor in patients receiving immune checkpoint inhibitors C Tozzi, M Ligero, A Antolin, LM Atlagich, N Staikoglou, K Bernatowicz, ... Annals of Oncology 34, S642-S643, 2023 | | 2023 |
Raquel Perez-LopezTeam Leader, Radiomics Group, Vall d'Hebron University HospitalVerified email at vhio.net
