The emerging role of Artificial Intelligence in proton therapy: A review
Artificial intelligence (AI) has made a tremendous impact in the space of healthcare, and
proton therapy is not an exception. Proton therapy has witnessed growing popularity in …
proton therapy is not an exception. Proton therapy has witnessed growing popularity in …
Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer
MS Elmahdy, T Jagt, RT Zinkstok, Y Qiao… - Medical …, 2019 - Wiley Online Library
Purpose To develop and validate a robust and accurate registration pipeline for automatic
contour propagation for online adaptive Intensity‐Modulated Proton Therapy (IMPT) of …
contour propagation for online adaptive Intensity‐Modulated Proton Therapy (IMPT) of …
Esophageal tumor segmentation in CT images using a dilated dense attention Unet (DDAUnet)
S Yousefi, H Sokooti, MS Elmahdy, IM Lips… - IEEE …, 2021 - ieeexplore.ieee.org
Manual or automatic delineation of the esophageal tumor in CT images is known to be very
challenging. This is due to the low contrast between the tumor and adjacent tissues, the …
challenging. This is due to the low contrast between the tumor and adjacent tissues, the …
[HTML][HTML] Online-adaptive versus robust IMPT for prostate cancer: How much can we gain?
TZ Jagt, S Breedveld, R van Haveren… - Radiotherapy and …, 2020 - Elsevier
Background/purpose Intensity-modulated proton therapy (IMPT) is highly sensitive to
anatomical variations which can cause inadequate target coverage during treatment …
anatomical variations which can cause inadequate target coverage during treatment …
Point-based registration for multi-stained histology images
J Zhang, Z Li, Q Yu - … on Image, Vision and Computing (ICIVC), 2020 - ieeexplore.ieee.org
Image registration is a basic task in biological image processing. Different stained histology
images contain different clinical information, which could assist pathologists to diagnose a …
images contain different clinical information, which could assist pathologists to diagnose a …
Deep learning for online adapti e radiotherap
MSE Elmahd - 2022 - scholarlypublications …
Deep learning for online adapti e radiotherap Page 1 Deep learning for online adapti e
radiotherap Elmahd , MSE Citation Elmahd , MSE (2022, March 15). . Retrie ed from https://hdl.handle.net/1887/3278960 …
radiotherap Elmahd , MSE Citation Elmahd , MSE (2022, March 15). . Retrie ed from https://hdl.handle.net/1887/3278960 …
Region-aware Registration for Multi-stained Histology Images
J Zhang, Z Li, A Su - Proceedings of the 2021 4th International …, 2021 - dl.acm.org
Multi-stained histology images can provide a wealth of pathological information for clinical
diagnosis. Accurate registration of multi-stained images, especially on ROIs (eg tumor area) …
diagnosis. Accurate registration of multi-stained images, especially on ROIs (eg tumor area) …