Zobrazeno 1 - 10
of 3 806
pro vyhledávání: '"Maddison P"'
Autor:
Maddison Picton, David Crawford, Michael Jameson, Stacy Alvares, Louise Hogan, Conrad Loo, Zoe Moutrie, Urszula Jelen, Claire Pagulayan, Nicolle Dunkerley, Tania Twentyman, Jeremy deLeon, Vikneswary Batumalai
Publikováno v:
Journal of Medical Radiation Sciences, Vol 70, Iss S2, Pp 94-98 (2023)
Abstract The introduction of magnetic resonance (MR) linear accelerators (MR‐Linac) marks the beginning of a new era in radiotherapy. MR‐Linac systems are currently being operated by teams of radiation therapists (RTs), radiation oncology medical
Externí odkaz:
https://doaj.org/article/5c589059afe3400b91db049c317b9918
Autor:
Louise Hogan, Michael Jameson, David Crawford, Stacy Alvares, Conrad Loo, Maddison Picton, Zoe Moutrie, Claire Pagulayan, Ursula Jelen, Nicolle Dunkerley, Tania Twentyman, Jeremy deLeon, Vikneswary Batumalai
Publikováno v:
Journal of Medical Radiation Sciences, Vol 70, Iss S2, Pp 99-106 (2023)
Abstract The introduction of magnetic resonance (MR) linear accelerators (MR‐Linacs) into radiotherapy departments has increased in recent years owing to its unique advantages including the ability to deliver online adaptive radiotherapy. However,
Externí odkaz:
https://doaj.org/article/cc3527a9c9db4fa9a865c4861b9e4d7b
Autor:
James O’Toole, Maddison Picton, Mario Perez, Michael Back, Dasantha Jayamanne, Andrew Le, Kenny Wu, Chris Brown, John Atyeo
Publikováno v:
Journal of Medical Radiation Sciences, Vol 68, Iss 4, Pp 364-370 (2021)
Abstract Introduction This study aimed to develop a single‐isocentre volumetric modulated arc therapy (si‐VMAT) technique for multiple brain metastases using knowledge‐based planning software, comparing it with a multiple‐isocentre stereotact
Externí odkaz:
https://doaj.org/article/354edc3040304c838f575575c8a1c0c8
Autor:
Islam, Sheikh Mohammed Shariful, Abrar, Moloud, Tegegne, Teketo, Loranjo, Liliana, Karmakar, Chandan, Awal, Md Abdul, Hossain, Md. Shahadat, Kabir, Muhammad Ashad, Mahmud, Mufti, Khosravi, Abbas, Siopis, George, Moses, Jeban C, Maddison, Ralph
Machine learning models have the potential to identify cardiovascular diseases (CVDs) early and accurately in primary healthcare settings, which is crucial for delivering timely treatment and management. Although population-based CVD risk models have
Externí odkaz:
http://arxiv.org/abs/2407.16721
Knowing the effect of an intervention is critical for human decision-making, but current approaches for causal effect estimation rely on manual data collection and structuring, regardless of the causal assumptions. This increases both the cost and ti
Externí odkaz:
http://arxiv.org/abs/2407.07018
Autor:
Dong, Honghua, Su, Qidong, Gao, Yubo, Li, Zhaoyu, Ruan, Yangjun, Pekhimenko, Gennady, Maddison, Chris J., Si, Xujie
Large Language Models (LLMs) have become increasingly capable of handling diverse tasks with the aid of well-crafted prompts and integration of external tools, but as task complexity rises, the workflow involving LLMs can be complicated and thus chal
Externí odkaz:
http://arxiv.org/abs/2406.13161
We study the problem of designing minimax procedures in linear regression under the quantile risk. We start by considering the realizable setting with independent Gaussian noise, where for any given noise level and distribution of inputs, we obtain t
Externí odkaz:
http://arxiv.org/abs/2406.12145
Autor:
Cotta, Leonardo, Maddison, Chris J.
Frontier Large Language Models (LLMs) are increasingly being deployed for high-stakes decision-making. On the other hand, these models are still consistently making predictions that contradict users' or society's expectations, e.g., hallucinating, or
Externí odkaz:
http://arxiv.org/abs/2406.07685
Autor:
Thudi, Anvith, Maddison, Chris J.
Training on mixtures of data distributions is now common in many modern machine learning pipelines, useful for performing well on several downstream tasks. Group distributionally robust optimization (group DRO) is one popular way to learn mixture wei
Externí odkaz:
http://arxiv.org/abs/2406.01477
Autor:
Laura Nation, Nicola Spence, Stephen Parker, Maddison Paige Wheeler, Kate Powe, Mei Siew, Tamara Nevin, Michelle McKay, Michelle White, Frances Louise Dark
Publikováno v:
Frontiers in Psychiatry, Vol 12 (2022)
ObjectiveThis paper describes the implementation of training in trauma-informed care (TIC) across a mental health rehabilitation service.MethodA mixed-methods approach was applied incorporating baseline measures of staff attitudes toward TIC, quantit
Externí odkaz:
https://doaj.org/article/db78cfdec2b0419a9cf8fb358b78b3e2