Piella, Gemma

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · Apollo - University of Cambridge Repository

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 1,441

Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the brats challenge

Bakas, S., Reyes, M., Jakab, A., Bauer, S., Rempfler, M., Crimi, A., Shinohara, R. T., Berger, C., Ha, S. M., Rozycki, M., et al. (2018) · arXiv

Brain Tumor Detection and ClassificationMedical Image Segmentation Techniques

Cited by 1,441

Memory-aware curriculum federated learning for breast cancer classification

Jiménez-Sánchez, A., Tardy, M., González Ballester, M. A., Mateus, D., & Piella, G. (2023) · Computer Methods and Programs in Biomedicine

AI in cancer detectionPrivacy-Preserving Technologies in Data

Cited by 114

Segmentation and classification in MRI and US fetal imaging: Recent trends and future prospects

Torrents-Barrena, J., Piella, G., Masoller, N., Gratacós, E., Eixarch, E., Ceresa, M., & Ballester, M. Á. G. (2019) · Medical Image Analysis

Medical Image Segmentation TechniquesFetal and Pediatric Neurological Disorders

Cited by 97

A survey on machine and statistical learning for longitudinal analysis of neuroimaging data in Alzheimer’s disease

Martí-Juan, G., Sanroma-Guell, G., & Piella, G. (2020) · Computer Methods and Programs in Biomedicine

Dementia and Cognitive Impairment ResearchFunctional Brain Connectivity Studies

Cited by 85

Assessment of Radiomics and Deep Learning for the Segmentation of Fetal and Maternal Anatomy in Magnetic Resonance Imaging and Ultrasound

Torrents-Barrena, J., Monill, N., Piella, G., Gratacós, E., Eixarch, E., Ceresa, M., & González Ballester, M. A. (2021) · Academic Radiology

Medical Image Segmentation TechniquesRadiomics and Machine Learning in Medical Imaging

Cited by 42

TTTS-GPS: Patient-specific preoperative planning and simulation platform for twin-to-twin transfusion syndrome fetal surgery

Torrents-Barrena, J., López-Velazco, R., Piella, G., Masoller, N., Valenzuela-Alcaraz, B., Gratacós, E., Eixarch, E., Ceresa, M., & Ángel González Ballester, M. (2019) · Computer Methods and Programs in Biomedicine

Surgical Simulation and TrainingAnatomy and Medical Technology

Cited by 25

Uncertainty-aware segmentation quality prediction via deep learning Bayesian Modeling: Comprehensive evaluation and interpretation on skin cancer and liver segmentation

O.K., S., Riera-Marín, M., Galdran, A., López, J. G., Rodríguez-Comas, J., Piella, G., & Ballester, M. A. G. (2025) · Computerized Medical Imaging and Graphics

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 11

Automatic Segmentation Of the Placenta and its Peripheral Vasculature in Volumetric Ultrasound for TTTS Fetal Surgery

Torrents-Barrena, J., Piella, G., Masoller, N., Gratacos, E., Eixarch, E., Ceresa, M., & Ballester, M. A. G. (2019) · 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)

Medical Image Segmentation TechniquesArtificial Intelligence in Healthcare and Education

Cited by 9

Prediction of low birth weight from fetal ultrasound and clinical characteristics: a comparative study between a low- and middle-income and a high-income country

Sanchez-Martinez, S., Marti-Castellote, P. M., Hoodbhoy, Z., Bernardino, G., Prats-Valero, J., Aguado, A. M., Testa, L., Piella, G., Crovetto, F., Snyder, C., et al. (2024) · BMJ Global Health

Pregnancy and preeclampsia studiesMaternal and Neonatal Healthcare

Cited by 9

Uncertainty Aware Segmentation Quality Assessment in Medical Images

O K, S., Galdran, A., Riera-Marin, M., García, J., Rodríguez-Comas, J., Piella, G., & González Ballester, M. A. (2024) · 2024 IEEE International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 4