| 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 | 133 | 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 | 82 | 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 | 47 | 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 | 31 | 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 | 22 | 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 | 17 | 2019 |
| From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology OSM El Nahhas, M van Treeck, G Wölflein, M Unger, M Ligero, T Lenz, ... Nature Protocols, 1-24, 2024 | 11 | 2024 |
| In-context learning enables multimodal large language models to classify cancer pathology images D Ferber, G Wölflein, IC Wiest, M Ligero, S Sainath, N Ghaffari Laleh, ... Nature Communications 15 (1), 10104, 2024 | 9 | 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 | 8 | 2024 |
| 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 | 7 | 2023 |
| 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 | 5 | 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 | 5 | 2024 |
| 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 | 4 | 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 |
| 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 | 2 | 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, ... International Conference on Medical Image Computing and Computer-Assisted …, 2024 | 1 | 2024 |
| Radiomics and outcome prediction to antiangiogenic treatment in advanced gastroenteropancreatic neuroendocrine tumours: findings from the phase II TALENT trial M Ligero, J Hernando, E Delgado, A Garcia-Ruiz, X Merino-Casabiel, ... BJC Reports 1 (1), 9, 2023 | 1 | 2023 |
| Abnormality-Driven Representation Learning for Radiology Imaging M Ligero, T Lenz, G Wölflein, OSM El Nahhas, D Truhn, JN Kather arXiv preprint arXiv:2411.16803, 2024 | | 2024 |
| Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning T Lenz, P Neidlinger, M Ligero, G Wölflein, M van Treeck, JN Kather arXiv preprint arXiv:2411.13623, 2024 | | 2024 |
| Erratum for: 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 (3), e249001, 2024 | | 2024 |
Raquel Perez-LopezTeam Leader, Radiomics Group, Vall d'Hebron University Hospital在 vhio.net 的电子邮件经过验证
