Paula de Toledo

Universidad Carlos III de Madrid — Spain

Computer Science · Physical Sciences

14h-index1.1kcitations47works1.02yr avg
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Research Topics

Context-Aware Activity Recognition Systems(13), Healthcare Technology and Patient Monitoring(7), Lymphoma Diagnosis and Treatment(6), IoT and Edge/Fog Computing(6), Cancer Genomics and Diagnostics(5)

Publications47 total

Timestamp Supervision for Surgical Phase Recognition Using Semi-Supervised Deep Learning
Applied Sciences·2025Open Access
Improving surgical phase recognition using self-supervised deep learning
Scientific Reports·2025· 1 citedOpen Access
Attention in surgical phase recognition for endoscopic pituitary surgery: Insights from real-world data
Computers in Biology and Medicine·2025· 7 citedOpen Access
Digital Health and Artificial Intelligence System for Surgical Wound Monitoring
Brain and Spine·2025Open Access
Automatic Phase Detection in Surgical Videos using Artificial Intelligence Tools
Brain and Spine·2025Open Access
Author Correction: Detection of kinase domain mutations in BCR::ABL1 leukemia by ultra-deep sequencing of genomic DNA
Scientific Reports·2024Open Access
Corrigendum: Personalized monitoring of circulating tumor DNA with a specific signature of trackable mutations after chimeric antigen receptor T-cell therapy in follicular lymphoma patients
Frontiers in Immunology·2024Open Access
Attention in Surgical Phase Recognition for Endoscopic Pituitary Surgery: Insights from Real-World Data
SSRN Electronic Journal·2024· 1 citedOpen Access
Outcome Prediction in Traumatic Brain Injury Using Traditional and Machine Learning Algorithms.
Brain and Spine·2024Open Access
Corrigendum: Personalized monitoring of circulating tumor DNA with a specific signature of trackable mutations after chimeric antigen receptor T-cell therapy in follicular lymphoma patients
Frontiers in Immunology·2023· 1 citedOpen Access
Personalized monitoring of circulating tumor DNA with a specific signature of trackable mutations after chimeric antigen receptor T-cell therapy in follicular lymphoma patients
Frontiers in Immunology·2023· 6 citedOpen Access
Real-life disease monitoring in follicular lymphoma patients using liquid biopsy ultra-deep sequencing and PET/CT
Leukemia·2023· 35 citedOpen Access
Dynamic Response Assesment Combining Liquid Biopsy MRD and PET/CT in Follicular Lymphoma Patients Including CAR-T Cell Therapy
Blood·2022
Real-Life Disease Monitoring in Follicular Lymphoma Patients Using Liquid Biopsy Ultra-Deep Sequencing and PET/CT
Research Square (Research Square)·2022· 4 citedOpen Access
Detection of kinase domain mutations in BCR::ABL1 leukemia by ultra-deep sequencing of genomic DNA
Scientific Reports·2022· 12 citedOpen Access
Detection of Kinase Domain Mutations in BCR-ABL1 Leukemia by Ultra-deep Sequencing of Genomic DNA
Research Square (Research Square)·2022· 2 citedOpen Access
Prediction of patient evolution in terms of Clinical Risk Groups form routinely collected data using machine learning
2019Open Access
Mining Disease Courses across Organizations: A Methodology Based on Process Mining of Diagnosis Events Datasets
2019· 8 citedOpen Access
Sensor-based Bayesian detection of anomalous living patterns in a home setting
Personal and Ubiquitous Computing·2014· 77 citedOpen Access
Table of contents
IEEE Pervasive Computing·2014Open Access
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Frequent Co-authors

S. Jiménez‐Fernández(13), Araceli Sanchis(11), Francisco del Pozo(11), Alfonso Lagares(10), Ana Jiménez Ubieto(9), Sara Dorado(9), Laura Rufián(9), Joaquín Martínez‐López(9), Santiago Barrio(9), Chongwu Wang(8), Luís Serrano(7), Ignacio Martínez Ruiz(7), Alejandro Martín-Muñoz(7), Fco. Javier Ordóñez(6), M. Galarraga(6), María Poza(6), Yanira Ruiz‐Heredia(6), Gloria Figaredo(6), María Calbacho(6), Tycho Baumann(6)