| Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis N Gaggion, L Mansilla, C Mosquera, DH Milone, E Ferrante IEEE Transactions on Medical Imaging 42 (2), 546-556, 2022 | 29 | 2022 |
| Chest x-ray automated triage: A semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning … C Mosquera, FN Diaz, F Binder, JM Rabellino, SE Benitez, AD Beresñak, ... Computer Methods and Programs in Biomedicine 206, 106130, 2021 | 10 | 2021 |
| User Satisfaction with an AI System for Chest X-Ray Analysis Implemented in a Hospital's Emergency Setting. D Rabinovich, C Mosquera, P Torrens, M Aineseder, S Benitez MIE, 8-12, 2022 | 6 | 2022 |
| Integration of a deep learning system for automated chest x-ray interpretation in the emergency department: A proof-of-concept C Mosquera, F Binder, FN Diaz, A Seehaus, G Ducrey, JA Ocantos, ... Intelligence-Based Medicine 5, 100039, 2021 | 5 | 2021 |
| Chexmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images N Gaggion, C Mosquera, L Mansilla, M Aineseder, DH Milone, E Ferrante arXiv preprint arXiv:2307.03293, 2023 | 4 | 2023 |
| Impact of class imbalance on chest x-ray classifiers: towards better evaluation practices for discrimination and calibration performance C Mosquera, L Ferrer, D Milone, D Luna, E Ferrante arXiv preprint arXiv:2112.12843, 2021 | 4 | 2021 |
| Towards unraveling calibration biases in medical image analysis MA Ricci Lara, C Mosquera, E Ferrante, R Echeveste Workshop on Clinical Image-Based Procedures, 132-141, 2023 | 3 | 2023 |
| Measuring the Delay in the Referral of Unstable Vertebral Metastasis to the Spine Surgeon: A Retrospective Study in a Latin American Institution F Landriel, FP Lichtenberger, L Ulloque-Caamaño, C Mosquera, ... Neurology India 71 (5), 902-906, 2023 | 1 | 2023 |
| Introducing Computer Vision into Healthcare Workflows C Mosquera, MAR Lara, FN Díaz, F Binder, SE Benitez Digital Health: From Assumptions to Implementations, 43-62, 2023 | 1 | 2023 |
| Three-dimensional printing and navigation in bone tumor resection LE Ritacco, C Mosquera, I Albergo, DL Muscolo, GL Farfalli, MA Ayerza, ... 3D Printing, 2018 | 1 | 2018 |
| Artificial intelligence assistance for the measurement of full alignment parameters in whole-spine lateral radiographs F Landriel, BC Franchi, C Mosquera, FP Lichtenberger, S Benitez, ... World Neurosurgery, 2024 | | 2024 |
| Towards unraveling calibration biases in medical image analysis M Agustina Ricci Lara, C Mosquera, E Ferrante, R Echeveste arXiv e-prints, arXiv: 2305.05101, 2023 | | 2023 |
| 39P OLIMPIA dataset: Radiomics to predict outcomes in EGFR-mutant non-small cell lung cancer G Pérez, JN Minatta, M Aineseder, C Mosquera, SE Benitez Annals of Oncology 33, S18, 2022 | | 2022 |
| Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis RN Gaggion Zulpo, LA Mansilla, C Mosquera, DH Milone, E Ferrante Institute of Electrical and Electronics Engineers, 2022 | | 2022 |
| P60. 05 Radiomic Signature to Predict Outcomes in EGFR-Mutant Non-Small Cell Lung Cancer JN Minatta, D Deza, M Aineseder, MM Nuñez, C Mosquera, L Lupinacci, ... Journal of Thoracic Oncology 16 (10), S1166, 2021 | | 2021 |
| 1174P Preliminary prediction of EGFR-mutant non-small cell lung cancer outcome using radiomic signature JN Minatta, C Mosquera, M Aineseder, MAM Nuñez, D Deza, L Lupinacci, ... Annals of Oncology 32, S941-S942, 2021 | | 2021 |
| Understanding the impact of class imbalance on the performance of chest x-ray image classifiers. C Mosquera, L Ferrer, DH Milone, DR Luna, E Ferrante CoRR, 2021 | | 2021 |
| Chest x-ray automated triage: a semiologic approach designed for clinical implementation, exploiting different types of labels through a combination of four Deep Learning … C Mosquera, FN Diaz, F Binder, JM Rabellino, SE Benitez, AD Beresñak, ... arXiv preprint arXiv:2012.12712, 2020 | | 2020 |
| FOUR DEEP LEARNING ARCHITECTURES. C Mosquera, F Diaz, F Binder, JM Rabellino, SE Benitez, A Beresñak, ... arXiv preprint arXiv:2012.12712, 2020 | | 2020 |
| Automated classification of chest X-rays by Deep Learning model trained on the CheXpert dataset and validation with a prospective local dataset. Initial results, challenges … FN Diaz, C Mosquera, AR Lara, S Benitez, A Beresnak, AC Seehaus European Congress of Radiology-ECR 2020, 2020 | | 2020 |
Enzo FerranteCONICETVerified email at sinc.unl.edu.ar
