Pascal N. Tyrrell

According to our database, Pascal N. Tyrrell authored at least 6 papers between 2018 and 2023.

Collaborative distances:

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

2023

Automated screening of computed tomography using weakly supervised anomaly detection.

Atsuhiro Hibi, Michael D. Cusimano, Alexander Bilbily, Rahul G. Krishnan, Pascal N. Tyrrell

Int. J. Comput. Assist. Radiol. Surg., November, 2023

2022

Quantifying uncertainty in machine learning classifiers for medical imaging.

John Valen, Indranil Balki, Mauro Mendez, Wendi Qu, Jacob Levman, Alexander Bilbily, Pascal N. Tyrrell

Int. J. Comput. Assist. Radiol. Surg., 2022

2020

Assessing and mitigating the effects of class imbalance in machine learning with application to X-ray imaging.

Wendi Qu, Indranil Balki, Mauro Mendez, John Valen, Jacob Levman, Pascal N. Tyrrell

Int. J. Comput. Assist. Radiol. Surg., 2020

A First Glance to the Quality Assessment of Dental Photostimulable Phosphor Plates with Deep Learning.

Ariana Bermudez, Saúl Calderón Ramírez, Trevor Thang, Pascal N. Tyrrell, Armaghan Moemeni, Shengxiang Yang, Jordina Torrents-Barrena

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Using Cluster Analysis to Assess the Impact of Dataset Heterogeneity on Deep Convolutional Network Accuracy: A First Glance.

Mauro Mendez, Saúl Calderón Ramírez, Pascal N. Tyrrell

Proceedings of the High Performance Computing - 6th Latin American Conference, 2019

2018

Assessing the Impact of the Deceived Non Local Means Filter as a Preprocessing Stage in a Convolutional Neural Network Based Approach for Age Estimation Using Digital Hand X-Ray Images.

Saúl Calderón Ramírez, Fabian Fallas-Moya, Manuel Zumbado, Pascal N. Tyrrell, Hershel Stark, Ziga Emersic, Blaz Meden, Martín Solís

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018