Rafe McBeth

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 10

Top Topics

Radiation Therapy

Top Venues

Comput. Biol. Medicine

Publications

Hai Siong Tan, Kuancheng Wang, Rafe McBeth
Deep Evidential Learning for Dose Prediction. CoRR (2024)
Hai Siong Tan, Kuancheng Wang, Rafe McBeth
Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation. Comput. Biol. Medicine 176 (2024)
Jace Grandinetti, Rafe McBeth
From Generalist to Specialist: Improving Large Language Models for Medical Physics Using ARCoT. CoRR (2024)
Kuancheng Wang, Hai Siong Tan, Rafe McBeth
Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments. CoRR (2023)
Hai Siong Tan, Kuancheng Wang, Rafe McBeth
Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation. CoRR (2023)
Qiyuan An, Rafe McBeth, Houliang Zhou, Bryan Lawlor, Dan Nguyen, Steve Jiang, Mark S. Link, Yingying Zhu
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. Sensors 22 (11) (2022)
Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, Xinran Zhong, Azar Sadeghnejad-Barkousaraie, Rafe McBeth, Mu-Han Lin, Steve B. Jiang, Dan Nguyen
Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks. CoRR (2021)
Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang
A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. CoRR (2021)
Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve B. Jiang
Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. CoRR (2020)
Dan Nguyen, Rafe McBeth, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve B. Jiang
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. CoRR (2019)