58 citations
- Washington University in St. LouisUS11 papers
- Alvin J. Siteman Cancer CenterUS2 papers
- University of British ColumbiaCA2 papers
- BC Cancer AgencyCA1 paper
- Center for Devices and Radiological HealthUS1 paper
- Cleveland ClinicUS1 paper
- Cornell UniversityUS1 paper
- Dana-Farber Cancer InstituteUS1 paper
- Duke UniversityUS1 paper
- Eli Lilly (United States)US1 paper
- Google (United States)US1 paper
- Harvard UniversityUS1 paper
14 papers
Analyzing heterogeneity in Alzheimer Disease using multimodal normative modeling on imaging-based ATN biomarkers
Sayantan Kumar, Tom Earnest, Braden Yang +10
INTRODUCTION: Previous studies have applied normative modeling on a single neuroimaging modality to investigate Alzheimer Disease (AD) heterogeneity. We employed a deep learning-ba…
Observer study-based evaluation of TGAN architecture used to generate oncological PET images
Roberto Fedrigo, Fereshteh Yousefirizi, Ziping Liu +9
The application of computer-vision algorithms in medical imaging has increased rapidly in recent years. However, algorithm training is challenging due to limited sample sizes, lack…
Need for objective task-based evaluation of AI-based segmentation methods for quantitative PET
Ziping Liu, Joyce C. Mhlanga, Barry A. Siegel +1
Artificial intelligence (AI)-based methods are showing substantial promise in segmenting oncologic positron emission tomography (PET) images. For clinical translation of these meth…
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network
Satrajit Chakrabarty, Pamela LaMontagne, Joshua Shimony +2
Isocitrate dehydrogenase (IDH) mutation and 1p/19q codeletion status are important prognostic markers for glioma. Currently, they are determined using invasive procedures. Our goal…
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)
Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa +12
Efforts to utilize growing volumes of clinical imaging data to generate tumor evaluations continue to require significant manual data wrangling owing to the data heterogeneity. Her…
Objective task-based evaluation of artificial intelligence-based medical imaging methods: Framework, strategies and role of the physician
Abhinav K. Jha, Kyle J. Myers, Nancy A. Obuchowski +5
Artificial intelligence (AI)-based methods are showing promise in multiple medical-imaging applications. Thus, there is substantial interest in clinical translation of these method…