Bladder Cancer and Artificial Intelligence: Emerging Applications
Bladder cancer (BC) is the sixth leading cancer diagnosed in the United States and the
fourth among males. 1 In 2022, there were an estimated 81,180 new cases in the United …
fourth among males. 1 In 2022, there were an estimated 81,180 new cases in the United …
Neural implicit k-space for binning-free non-cartesian cardiac MR imaging
In this work, we propose a novel image reconstruction framework that directly learns a
neural implicit representation in k-space for ECG-triggered non-Cartesian Cardiac Magnetic …
neural implicit representation in k-space for ECG-triggered non-Cartesian Cardiac Magnetic …
Sub‐second photon dose prediction via transformer neural networks
O Pastor‐Serrano, P Dong, C Huang, L Xing… - Medical …, 2023 - Wiley Online Library
Background Fast dose calculation is critical for online and real‐time adaptive therapy
workflows. While modern physics‐based dose algorithms must compromise accuracy to …
workflows. While modern physics‐based dose algorithms must compromise accuracy to …
Dynamic cone-beam CT reconstruction using spatial and temporal implicit neural representation learning (STINR)
Objective. Dynamic cone-beam CT (CBCT) imaging is highly desired in image-guided
radiation therapy to provide volumetric images with high spatial and temporal resolutions to …
radiation therapy to provide volumetric images with high spatial and temporal resolutions to …
Super-resolution biomedical imaging via reference-free statistical implicit neural representation
Objective. Supervised deep learning for image super-resolution (SR) has limitations in
biomedical imaging due to the lack of large amounts of low-and high-resolution image pairs …
biomedical imaging due to the lack of large amounts of low-and high-resolution image pairs …
Modeling linear accelerator (Linac) beam data by implicit neural representation learning for commissioning and quality assurance applications
Abstract Background Linear accelerator (Linac) beam data commissioning and quality
assurance (QA) play a vital role in accurate radiation treatment delivery and entail a large …
assurance (QA) play a vital role in accurate radiation treatment delivery and entail a large …
Volumetric MRI with sparse sampling for MR‐guided 3D motion tracking via sparse prior‐augmented implicit neural representation learning
Background Volumetric reconstruction of magnetic resonance imaging (MRI) from sparse
samples is desirable for 3D motion tracking and promises to improve magnetic resonance …
samples is desirable for 3D motion tracking and promises to improve magnetic resonance …
[图书][B] Data Representations and Data Quality in the Context of Machine Learning and Healthcare
VA Vasudevan - 2022 - search.proquest.com
DATA REPRESENTATIONS AND DATA QUALITY IN THE CONTEXT OF MACHINE LEARNING AND
HEALTHCARE A DISSERTATION SUBMITTED TO THE INSTITUT Page 1 DATA …
HEALTHCARE A DISSERTATION SUBMITTED TO THE INSTITUT Page 1 DATA …