Computer-Aided-Detection on Qualia Radiomics

Longitudinal CBCT radiomics in Lung Cancer supported by Varian Medical Systems Inc.

Fri, 10 Feb 2023 15:23:27 -0500

Varian will support my research project entitled “Longitudinal CBCT radiomics analysis for lung cancer radiotherapy response and prognosis prediction” with $230,000 over 2 years. This is the first research grant from Varian to the Department of Radiation Oncology, Sidney Kimmel Medical College at Thomas Jefferson University. This project can potentially impact the clinical practice of lung cancer patients by using standard imaging modalities (CBCT and 4D-CBCT) to provide early prediction of prognosis and toxicity.

Clinically-Interpretable Radiomics

Wed, 29 Jun 2022 21:01:32 -0400

MICCAI'22 Paper | CMPB'21 Paper | CIRDataset

This library serves as a one-stop solution for analyzing datasets using clinically-interpretable radiomics (CIR) in cancer imaging (https://github.com/choilab-jefferson/CIR). The primary motivation for this comes from our collaborators in radiology and radiation oncology inquiring about the importance of clinically-reported features in state-of-the-art deep learning malignancy/recurrence/treatment response prediction algorithms. Previous methods have performed such prediction tasks but without robust attribution to any clinically reported/actionable features (see extensive literature on the sensitivity of attribution methods to hyperparameters). This motivated us to curate datasets by annotating clinically-reported features at the voxel/vertex level on public datasets (using our published advanced mathematical algorithms) and relating these to prediction tasks (bypassing the “flaky” attribution schemes). With the release of these comprehensively-annotated datasets, we hope that previous malignancy prediction methods can also validate their explanations and provide clinically-actionable insights. We also provide strong end-to-end baselines for extracting these hard-to-compute clinically-reported features and using these in different prediction tasks.

Artificial Intelligence in Radiation Oncology

Fri, 15 Oct 2021 00:49:35 -0400

Image processing in lung cancer screening and treatment

Thu, 10 Mar 2016 21:11:35 -0500

Invited talk in GIST, Nov 2014

Computer Aided Detection of Pulmonary Nodules in CT Scans

Fri, 03 Oct 2014 00:43:00 -0400

Pulmonary Nodule Detection using Voxel Classification in Lung CT images (Korean)

Thu, 02 Oct 2014 01:41:10 -0400

Lung structure segmentation and nodule detection based on 3D block analysis in CT image (Korean)

Thu, 02 Oct 2014 01:38:33 -0400

Computer-aided Detection of Pulmonary Nodules using Genetic Programming (Korean)

Thu, 02 Oct 2014 01:22:27 -0400

Computer aided detection of pulmonary nodules using genetic programming

Thu, 02 Oct 2014 01:16:49 -0400

Computer-aided Detection of Pulmonary Nodules using Genetic Programming

Thu, 02 Oct 2014 01:15:12 -0400

2010 IEEE ICIP

Image Analysis and Nodule Detection System in 3D Lung CT Images using Insight toolkit (Korean)

Thu, 02 Oct 2014 01:00:15 -0400

Invited talk in CNUH, Apr 2014

Automatic detection of pulmonary nodules in lung CT images

Thu, 02 Oct 2014 00:53:56 -0400