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Item type:Publication, COVID-19: Abdominal and Pelvic Imaging Findings: A Primer for Radiologists(2021) ;Sofía Palacios; ;Rosario Valdes ;Ignacio MaldonadoCristian Varela2Scopus© Citations 3 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, BacAv, a new free online platform for clinical back-averaging(2020); ;Sanaz Attaripour ;Patrick McGurrinMark HallettScopus© Citations 6 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Color Dependence Analysis in a CNN-Based Computer-Aided Diagnosis System for Middle and External Ear Diseases(2022) ;Michelle Viscaino ;Matias Talamilla ;Juan Cristóbal Maass ;Pablo HenríquezPaul H. Délano<jats:p>Artificial intelligence-assisted otologic diagnosis has been of growing interest in the scientific community, where middle and external ear disorders are the most frequent diseases in daily ENT practice. There are some efforts focused on reducing medical errors and enhancing physician capabilities using conventional artificial vision systems. However, approaches with multispectral analysis have not yet been addressed. Tissues of the tympanic membrane possess optical properties that define their characteristics in specific light spectra. This work explores color wavelengths dependence in a model that classifies four middle and external ear conditions: normal, chronic otitis media, otitis media with effusion, and earwax plug. The model is constructed under a computer-aided diagnosis system that uses a convolutional neural network architecture. We trained several models using different single-channel images by taking each color wavelength separately. The results showed that a single green channel model achieves the best overall performance in terms of accuracy (92%), sensitivity (85%), specificity (95%), precision (86%), and F1-score (85%). Our findings can be a suitable alternative for artificial intelligence diagnosis systems compared to the 50% of overall misdiagnosis of a non-specialist physician.</jats:p>Scopus© Citations 9 18 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, RSNA-STR-ACR Consensus Statement for COVID-19 CT Patterns: Interreader Agreement in 240 Consecutive Patients and Association With RT-PCR Status(2021); ;Julia Alegria ;Cristobal Ramos ;Jaime VerdugoJuan-Carlos DiazScopus© Citations 2 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Novel Technique for Thoracic Duct Access through MR Imaging/Ultrasound Fusion: Successful Percutaneous Embolization of Pulmonary Lymphatic Vessels(2020) ;Patricio Vargas ;Benjamin Horwitz ;Gian Paolo Zamboni ;Daniel HassonMaria Faure4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A semi-automated method for unbiased alveolar morphometry: Validation in a bronchopulmonary dysplasia model(2020) ;Thomas Salaets ;Bieke Tack ;André Gie ;Benjamin PavieNikhil SindhwaniScopus© Citations 23 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Virtual Unenhanced Images at Dual-Energy CT: Influence on Renal Lesion Characterization(2019) ;Mathias Meyer ;Rendon C. Nelson ;Federica Vernuccio; Alfredo E. Farjat1Scopus© Citations 66