Ultrasound elastography in the evaluation of thyroid nodules: evolution of a promising diagnostic tool for predicting the risk of malignancy

od Moraes, Pedro Henrique de Marqui, Sigrist, Rosa, Takahashi, Marcelo Straus, Schelini, Marcelo, Chammas, Maria Cristina
izdano v Radiol Bras (2019)

Regarding “Serial Quantitative Chest CT Assessment of COVID-19: Deep-Learning Approach”

od Takahashi, Marcelo Straus, Ribeiro Furtado de Mendonça, Matheus, Pan, Ian, Pinetti, Rogerio Zaia, Kitamura, Felipe C
izdano v Radiol Cardiothorac Imaging (2020)

Contrast-enhanced ultrasound of the pediatric bowel

od Gokli, Ami, Dillman, Jonathan R., Humphries, Paul D., Ključevšek, Damjana, Mentzel, Hans-Joachim, Rubesova, Erika, Takahashi, Marcelo S., Anupindi, Sudha A.
izdano v Pediatr Radiol (2021)

Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19

od Li, Matthew D, Arun, Nishanth T, Aggarwal, Mehak, Gupta, Sharut, Singh, Praveer, Little, Brent P, Mendoza, Dexter P, Corradi, Gustavo C.A., Takahashi, Marcelo S, Ferraciolli, Suely F, Succi, Marc D, Lang, Min, Bizzo, Bernardo C, Dayan, Ittai, Kitamura, Felipe C, Kalpathy-Cramer, Jayashree
izdano v medRxiv (2020)

Automated coronary calcium scoring using deep learning with multicenter external validation

od Eng, David, Chute, Christopher, Khandwala, Nishith, Rajpurkar, Pranav, Long, Jin, Shleifer, Sam, Khalaf, Mohamed H., Sandhu, Alexander T., Rodriguez, Fatima, Maron, David J., Seyyedi, Saeed, Marin, Daniele, Golub, Ilana, Budoff, Matthew, Kitamura, Felipe, Takahashi, Marcelo Straus, Filice, Ross W., Shah, Rajesh, Mongan, John, Kallianos, Kimberly, Langlotz, Curtis P., Lungren, Matthew P., Ng, Andrew Y., Patel, Bhavik N.
izdano v NPJ Digit Med (2021)