Lorenna Vidal

According to our database, Lorenna Vidal authored at least 2 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Training the next generation of physicians for artificial intelligence-assisted clinical neuroradiology: ASNR MICCAI Brain Tumor Segmentation (BraTS) 2025 Lighthouse Challenge education platform.

Raisa Amiruddin, Nikolay Yordanov, Nazanin Maleki, Pascal Fehringer, Athanasios Gkampenis, Anastasia Janas, Kiril Krantchev, Ahmed W. Moawad, Fabian Umeh, Salma Abosabie, Sara Abosabie, Albara Alotaibi, Mohamed Ghonim, Mohanad Ghonim, Sedra Abou Ali Mhana, Nathan Page, Marko Jakovljevic, Yasaman Sharifi, Prisha Bhatia, Amirreza Manteghinejad, Melisa Guelen, Michael Veronesi, Virginia Hill, Tiffany So, Mark Krycia, Bojan Petrovic, Fatima Memon, Justin Cramer, Elizabeth Schrickel, Vilma Kosovic, Lorenna Vidal, Gerard Thompson, Ichiro Ikuta, Basimah Albalooshy, Ali Nabavizadeh, Nourel Hoda Tahon, Karuna Shekdar, Aashim Bhatia, Claudia Kirsch, Gennaro D'Anna, Philipp Lohmann, Amal Saleh Nour, Andriy Myronenko, Adam Goldman-Yassen, Janet R. Reid, Sanjay Aneja, Spyridon Bakas, Mariam Aboian

CoRR, September, 2025

2022

Automated segmentation of pediatric brain tumors based on multi-parametric MRI and deep learning.

Rachel Madhogarhia, Anahita Fathi Kazerooni, Sherjeel Arif, Jeffrey B. Ware, Ariana M. Familiar, Lorenna Vidal, Sina Bagheri, Hannah Anderson, Debanjan Haldar, Sophie Yagoda, Erin Graves, Michael Spadola, Rachel Yan, Nadia Dahmane, Chiharu Sako, Arastoo Vossough, Phillip B. Storm, Adam C. Resnick, Christos Davatzikos, Ali Nabavizadeh

Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022