Enhancing career paths for tomorrow's radiation oncologists
Disclosures: NV has received speaker honoraria from Varian Medical Systems. JG is a full-
time employee of Elekta AB. PK is an employee of Varian Medical Systems. JBW reports …
time employee of Elekta AB. PK is an employee of Varian Medical Systems. JBW reports …
DPVis: Visual analytics with hidden markov models for disease progression pathways
Clinical researchers use disease progression models to understand patient status and
characterize progression patterns from longitudinal health records. One approach for …
characterize progression patterns from longitudinal health records. One approach for …
TrajVis: a visual clinical decision support system to translate artificial intelligence trajectory models in the precision management of chronic kidney disease
Objective Our objective is to develop and validate TrajVis, an interactive tool that assists
clinicians in using artificial intelligence (AI) models to leverage patients' longitudinal …
clinicians in using artificial intelligence (AI) models to leverage patients' longitudinal …
[HTML][HTML] Optimal treatment selection in sequential systemic and locoregional therapy of oropharyngeal squamous carcinomas: deep Q-learning with a patient …
Background Currently, selection of patients for sequential versus concurrent chemotherapy
and radiation regimens lacks evidentiary support and it is based on locally optimal decisions …
and radiation regimens lacks evidentiary support and it is based on locally optimal decisions …
THALIS: Human-machine analysis of longitudinal symptoms in cancer therapy
Although cancer patients survive years after oncologic therapy, they are plagued with long-
lasting or permanent residual symptoms, whose severity, rate of development, and …
lasting or permanent residual symptoms, whose severity, rate of development, and …
Details-first, show context, overview last: supporting exploration of viscous fingers in large-scale ensemble simulations
T Luciani, A Burks, C Sugiyama… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
Visualization research often seeks designs that first establish an overview of the data, in
accordance to the information seeking mantra:“Overview first, zoom and filter, then details on …
accordance to the information seeking mantra:“Overview first, zoom and filter, then details on …
Multi-modal visual adversarial Bayesian personalized ranking model for recommendation
Recommendation system is facing the “data sparseness” issue. Additional information,
including images, texts, and videos, contributes to alleviating this issue. We propose a new …
including images, texts, and videos, contributes to alleviating this issue. We propose a new …
Cohort-based T-SSIM visual computing for radiation therapy prediction and exploration
A Wentzel, P Hanula, T Luciani… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
We describe a visual computing approach to radiation therapy (RT) planning, based on
spatial similarity within a patient cohort. In radiotherapy for head and neck cancer treatment …
spatial similarity within a patient cohort. In radiotherapy for head and neck cancer treatment …
Spatially-aware clustering improves AJCC-8 risk stratification performance in oropharyngeal carcinomas
Objective Evaluate the effectiveness of machine learning tools that incorporate spatial
information such as disease location and lymph node metastatic patterns-of-spread, for …
information such as disease location and lymph node metastatic patterns-of-spread, for …
NNVA: Neural network assisted visual analysis of yeast cell polarization simulation
Complex computational models are often designed to simulate real-world physical
phenomena in many scientific disciplines. However, these simulation models tend to be …
phenomena in many scientific disciplines. However, these simulation models tend to be …