Developing a quantitative ultrasound image feature analysis scheme to assess tumor treatment efficacy using a mouse model
S Mirniaharikandehei, J VanOsdol, M Heidari… - Scientific reports, 2019 - nature.com
The aim of this study is to investigate the feasibility of identifying and applying quantitative
imaging features computed from ultrasound images of athymic nude mice to predict tumor …
imaging features computed from ultrasound images of athymic nude mice to predict tumor …
Developing global image feature analysis models to predict cancer risk and prognosis
In order to develop precision or personalized medicine, identifying new quantitative imaging
markers and building machine learning models to predict cancer risk and prognosis has …
markers and building machine learning models to predict cancer risk and prognosis has …
Developing interactive computer-aided detection tools to support translational clinical research
G Danala, S Mirniaharikandehei… - Medical Imaging …, 2022 - spiedigitallibrary.org
Applying computer-aided detection (CAD) generated quantitative image markers has
demonstrated significant advantages than using subjectively qualitative assessment in …
demonstrated significant advantages than using subjectively qualitative assessment in …
A novel feature reduction method to improve performance of machine learning model
S Mirniaharikandehei, M Heidari… - Medical Imaging …, 2021 - spiedigitallibrary.org
Developing radiomic based machine learning models has drawn considerable attention in
recent years. However, identifying a small and optimal feature vector to build a robust …
recent years. However, identifying a small and optimal feature vector to build a robust …
[引用][C] Developing novel quantitative imaging analysis schemes based machine learning for cancer research
S Mirniaharikandehei - 2021