Rafe McBeth - RankMe

17 papers Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Uncertainty quantification in neural network-based glucose prediction for diabetes. CoRR Hai Siong Tan, Rafe McBeth
2025	J	`jnl`	Automating High Quality RT Planning at Scale. CoRR Riqiang Gao, Mamadou Diallo, Han Liu, Anthony Magliari, Jonathan Sackett, Wilko Verbakel, Sandra Meyers, Masoud Zarepisheh, Rafe McBeth, Simon Arberet, Martin Kraus, Florin C. Ghesu, Ali Kamen
2025	J	`jnl`	Evidential Physics-Informed Neural Networks for Scientific Discovery. CoRR Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2025	J	`jnl`	Evidential Physics-Informed Neural Networks. CoRR Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2024	J	`jnl`	Deep Evidential Learning for Dose Prediction. CoRR Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2024	J	`jnl`	Deep evidential learning for radiotherapy dose prediction. Comput. Biol. Medicine Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2024	J	`jnl`	Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation. Comput. Biol. Medicine Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2024	J	`jnl`	From Generalist to Specialist: Improving Large Language Models for Medical Physics Using ARCoT. CoRR Jace Grandinetti, Rafe McBeth
2024	—	`conf`	Uncertainty-Error Correlations in Evidential Deep Learning Models for Biomedical Segmentation. TAAI (1) Hai Siong Tan, Kwancheng Wang, Rafe McBeth
2024	J	`jnl`	Uncertainty-Error correlations in Evidential Deep Learning models for biomedical segmentation. CoRR Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2023	J	`jnl`	Exploring UMAP in hybrid models of entropy-based and representativeness sampling for active learning in biomedical segmentation. CoRR Hai Siong Tan, Kuancheng Wang, Rafe McBeth
2023	J	`jnl`	Swin UNETR++: Advancing Transformer-Based Dense Dose Prediction Towards Fully Automated Radiation Oncology Treatments. CoRR Kuancheng Wang, Hai Siong Tan, Rafe McBeth
2022	J	`jnl`	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 Qiyuan An, Rafe McBeth, Houliang Zhou, Bryan Lawlor, Dan Nguyen, Steve B. Jiang, Mark S. Link, Yingying Zhu
2021	J	`jnl`	A Proof-of-Concept Study of Artificial Intelligence Assisted Contour Revision. CoRR Ti Bai, Anjali Balagopal, Michael Dohopolski, Howard E. Morgan, Rafe McBeth, Jun Tan, Mu-Han Lin, David J. Sher, Dan Nguyen, Steve B. Jiang
2021	J	`jnl`	Site-Agnostic 3D Dose Distribution Prediction with Deep Learning Neural Networks. CoRR Maryam Mashayekhi, Itzel Ramirez Tapia, Anjali Balagopal, Xinran Zhong, Azar Sadeghnejad-Barkousaraie, Rafe McBeth, Mu-Han Lin, Steve B. Jiang, Dan Nguyen
2020	J	`jnl`	Using Monte Carlo dropout and bootstrap aggregation for uncertainty estimation in radiation therapy dose prediction with deep learning neural networks. CoRR Dan Nguyen, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Anjali Balagopal, Rafe McBeth, Mu-Han Lin, Steve B. Jiang
2019	J	`jnl`	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 Dan Nguyen, Rafe McBeth, Azar Sadeghnejad-Barkousaraie, Gyanendra Bohara, Chenyang Shen, Xun Jia, Steve B. Jiang