Leonardo Kayat Bittencourt

According to our database, Leonardo Kayat Bittencourt authored at least 8 papers between 2016 and 2026.

Collaborative distances:

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

2026

Comp2Comp: Open-Source Software with FDA-Cleared Artificial Intelligence Algorithms for Computed Tomography Image Analysis.

Adrit Rao, Malte E. K. Jensen, Andrea Fisher, Louis Blankemeier, Pauline Berens, Arash Fereydooni, Seth Lirette, Eren Alkan, Felipe C. Kitamura, Juan Manuel Zambrano Chaves, Eduardo Pontes Reis, Arjun D. Desai, Marc H. Willis, Jason Hom, Andrew Johnston, Leon Lenchik, Robert D. Boutin, Eduardo Moreno Júdice de Mattos Farina, Augusto Sarquis Serpa, Marcelo Straus Takahashi, Jordan Perchik, Steven Rothenberg, Jamie Lee Schroeder, Ross W. Filice, Leonardo Kayat Bittencourt, Hari Trivedi, Marly van Assen, John Mongan, Kimberly Kallianos, Oliver O. Aalami, Akshay S. Chaudhari

CoRR, February, 2026

2024

The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.

Jeffrey D. Rudie, Hui-Ming Lin, Robyn L. Ball, Sabeena Jalal, Luciano M. Prevedello, Savvas Nicolaou, Brett S. Marinelli, Adam E. Flanders, Kirti Magudia, George Shih, Melissa A. Davis, John Mongan, Peter D. Chang, Ferco H. Berger, Sebastiaan Hermans, Meng Law, Tyler Richards, Jan-Peter Grunz, Andreas Steven Kunz, Shobhit Mathur, Sandro Galea-Soler, Andrew D. Chung, Saif Afat, Chin-Chi Kuo, Layal Aweidah, Ana Villanueva Campos, Arjuna Somasundaram, Felipe Antonio Sanchez Tijmes, Attaporn Jantarangkoon, Leonardo Kayat Bittencourt, Michael Brassil, Ayoub El Hajjami, Hakan Dogan, Muris Becircic, Agrahara G. Bharatkumar, Eduardo Moreno Júdice de Mattos Farina, Dataset Curator Group, Dataset Contributor Group, Dataset Annotator Group, Errol Colak

CoRR, 2024

2023

Spatiotemporal knowledge teacher-student reinforcement learning to detect liver tumors without contrast agents.

Chenchu Xu, Yuhong Song, Dong Zhang, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, Shuo Li

Medical Image Anal., December, 2023

2022

Contrast-Free Liver Tumor Detection Using Ternary Knowledge Transferred Teacher-Student Deep Reinforcement Learning.

Chenchu Xu, Dong Zhang, Yuhui Song, Leonardo Kayat Bittencourt, Sree Harsha Tirumani, Shuo Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Evaluating the sensitivity of deep learning to inter-reader variations in lesion delineations on bi-parametric MRI in identifying clinically significant prostate cancer.

Ansh Roge, Amogh Hiremath, Michael Sobota, Sree Harsha Tirumani, Leonardo Kayat Bittencourt, Justin Ream, Ryan Ward, Halimat Olaniyan, Sadhna Verma, Andrei S. Purysko, Anant Madabhushi, Rakesh Shiradkar

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

2018

Haptic forces and gamification on epidural anesthesia skill gain.

Andre Luiz Brazil, Aura Conci, Esteban Clua, Leonardo Kayat Bittencourt, Lúcia Blondet Baruque, Nathalia da Silva Conci

Entertain. Comput., 2018

2017

A virtual environment for breast exams practice with Haptics and gamification.

Andre Luiz Brazil, Aura Conci, Esteban Clua, Leonardo Kayat Bittencourt, Lúcia Blondet Baruque

Proceedings of the 5th IEEE International Conference on Serious Games and Applications for Health, 2017

2016

Force modeling and gamification for Epidural Anesthesia training.

Andre Luiz Brazil, Aura Conci, Esteban Clua, Noel Rodriguez-Hernandez, Leonardo Kayat Bittencourt, Reinaldo Rodríguez-Ramos

Proceedings of the 2016 IEEE International Conference on Serious Games and Applications for Health, 2016