Rafe McBeth

According to our database, Rafe McBeth authored at least 11 papers between 2019 and 2024.

Collaborative distances:

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

2024

Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation.

Hai Siong Tan, Kuancheng Wang, Rafe McBeth

CoRR, 2024

From Generalist to Specialist: Improving Large Language Models for Medical Physics Using ARCoT.

Jace Grandinetti, Rafe McBeth

CoRR, 2024

Deep Evidential Learning for Dose Prediction.

Hai Siong Tan, Kuancheng Wang, Rafe McBeth

CoRR, 2024

Deep evidential learning for radiotherapy dose prediction.

Hai Siong Tan, Kuancheng Wang, Rafe McBeth

Comput. Biol. Medicine, 2024

Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation.

Hai Siong Tan, Kuancheng Wang, Rafe McBeth

Comput. Biol. Medicine, 2024

2023

Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments.

Kuancheng Wang, Hai Siong Tan, Rafe McBeth

CoRR, 2023

2022

Prediction of Type and Recurrence of Atrial Fibrillation after Catheter Ablation via Left Atrial Electroanatomical Voltage Mapping Registration and Multilayer Perceptron Classification: A Retrospective Study.

Qiyuan An, Rafe McBeth, Houliang Zhou, Bryan Lawlor, Dan Nguyen, Steve B. Jiang, Mark S. Link, Yingying Zhu

Sensors, 2022

2021

A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision.

Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang

CoRR, 2021

Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks.

Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, Xinran Zhong, Azar Sadeghnejad-Barkousaraie, Rafe McBeth, Mu-Han Lin, Steve B. Jiang, Dan Nguyen

CoRR, 2021

2020

Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks.

Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve B. Jiang

CoRR, 2020

2019

Incorporating human and learned domain knowledge into training deep neural networks: A differentiable dose volume histogram and adversarial inspired framework for generating Pareto optimal dose distributions in radiation therapy.

Dan Nguyen, Rafe McBeth, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve B. Jiang

CoRR, 2019