News on Qualia Radiomics

Introducing qradiomics — A Unified Radiomics CLI for Reproducible Research

Wed, 20 May 2026 17:00:00 -0400

We are releasing qradiomics — an open-source Python CLI that unifies more than a decade of Choi Lab radiomics work into a single, reproducible, pip-installable toolkit.

What is qradiomics?

qradiomics (command: qr) is a radiomics research CLI built for the full data flow from raw DICOM to published-grade results:

DICOM download → conversion → feature extraction → clinical merge → modeling

Each step is a single Unix-style command. Pipelines are assembled from those atomic commands using plain JSON plans, executed by Nextflow (per-patient parallel), Prefect, or inline. One command gets you started:

Selected for ASTRO 2026 BEST of Physics — Oral Presentation in Boston

Mon, 18 May 2026 09:00:00 -0400

Thrilled to share that our work has been selected for an Oral Scientific Presentation in the BEST of Physics session at the American Society for Radiation Oncology (ASTRO) 2026 Annual Meeting, September 26–30 in Boston, MA. Out of ~2,700 abstracts submitted to ASTRO this year, only 300 were chosen for oral presentation, and BEST of Physics gathers the highest-rated physics work of the meeting.

Presentation details


Abstract #	75557
Title	Early Adaptive Interventions in Lung Cancer: Leveraging Fusion of Longitudinal CBCT Trajectories and Clinical Variables for Robust Survival Prediction
Session	SS 19 — BEST of Physics
Date / Time	September 28, 2026 · 10:45 AM – 12:00 PM ET
Venue	Thomas M. Menino Convention & Exhibition Center, Boston, MA
Format	7-min oral + 3-min Q&A
Publication	Red Journal supplement

Authors

Wookjin Choi, Pradeep Bhetwal, Michael Dichmann, Yingcui Jia, Wenchao Cao, Danfu Liang, Yingxuan Chen, Adam Dicker, Yevgeniy Vinogradskiy

Team Quantum Heart Wins NIH Prize for Innovation

Wed, 20 Aug 2025 17:41:41 -0400

https://datascience.nih.gov/tools-and-analytics/quantum-computing-new-frontiers-biomedical-research-innovation-lab

Last December, I had the incredible opportunity to be part of something truly special. The NIH Office of Data Science Strategy (ODSS) and the National Cancer Institute (NCI) gathered 27 of us from wildly different fields for a five-day Innovation Lab. The goal? To answer a question that sounds like science fiction: How can quantum computing solve today’s most complex biomedical challenges?

The room buzzed with a vibrant mix of quantum physicists, computer scientists (both quantum and traditional computing), computational physicists, computational biologists, data scientists, and biomedical researchers. For five intense days, we were immersed in a whirlwind of collaboration, brainstorming, and problem-solving. The energy was electric as we united to bridge the gap between our disciplines and forge new paths for the future of medicine.

The Nexus featured our cardiac PET radiomics study

Thu, 27 Jun 2024 13:38:07 -0400

Jefferson Investigates: Artificial Intelligence and Heart Disease — The Nexus

https://medicalxpress.com/news/2024-06-machine-lung-cancer-scans-heart.html

Shining a Light: Unveiling Cardiac Risks Using PET Imaging in Lung Cancer Radiotherapy

Sun, 14 Apr 2024 16:38:31 -0400

Our study on cardiac toxicity in lung cancer treatment is now featured in a JCO CCI editorial. Discoveries that could change patient care are on the horizon. Stay tuned! #CardiacToxicity #LungCancer #Innovation

Shining a Light: Unveiling Cardiac Risks Using Positron Emission Tomography Imaging in Lung Cancer Radiotherapy

2023 Accepted/Invited Annual Meeting abstracts

Mon, 08 May 2023 17:22:21 -0400

AAPM Annual Meeting (Houston, TX • July 23 ‒ 27, 2023)
1. Novel Functional Delta-Radiomics for Predicting Overall Survival in Lung Cancer Radiotherapy Using Cardiac FDG-PET Uptake
  Wookjin Choi, Yevgeniy Vinogradskiy
  Interactive ePoster Discussions: Sunday, July 23, 2023: 3:00 PM - 3:30 PM, GRBCC, Exhibit Hall | Forum 6
  SU-300-IePD-F6-4 Novel Functional Delta-Radiomics for Predicting Overall Survival in Lung Cancer Radiotherapy Using Cardiac FDG-PET Uptake
2. Deep Learning Segmentation for Accurate GTV and OAR Segmentation in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer Patients
  Wookjin Choi, Hamidreza Nourzadeh, Yingxuan Chen, Christopher G. Ainsley, Vimal K. Desai, Alexander A. Kubli, Yevgeniy Vinogradskiy, Maria Werner-Wasik, Adam Mueller, and Karen E. Mooney
  PO-GePV-D-50 Deep Learning Segmentation for Accurate GTV and OAR Segmentation in MR-Guided Adaptive Radiotherapy for Pancreatic Cancer Patients

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.

Hiring a Postdoctoral Fellow

Wed, 22 Dec 2021 17:52:41 -0500

Postdoctoral Fellow - Developing Clinically Interpretable Medical Imaging AI in Radiation Therapy

https://recruit.jefferson.edu/psp/hcmp/EMPLOYEE/HRMS/c/HRS_HRAM_FL.HRS_CG_SEARCH_FL.GBL?Page=HRS_APP_JBPST_FL&Action=U&FOCUS=Applicant&SiteId=1&JobOpeningId=9272548&PostingSeq=1

PI: Wookjin Choi, Ph.D. <Wookjin.Choi@jefferson.edu>
Assistant Professor of Radiation Oncology, Thomas Jefferson University
2 Years

Responsibilities

POST-DOCTORAL POSITION, DEPARTMENT OF RADIATION ONCOLOGY: Thomas Jefferson University is now accepting applications for a post-doctoral fellow in the Department of Radiation Oncology with the Choi lab. The post-doctoral position is for developing AI techniques for image-guided radiation therapy and clinical outcome prediction and decision-making using radiomics, deep learning, and other computationally intensive techniques. Trainees must have the opportunity to carry out supervised biomedical research with the primary objective of developing or extending their research skills and knowledge in preparation for an independent research career.

Fourth place Winner on AI Tracks at Sea Challenge

Mon, 01 Feb 2021 12:36:33 -0500

We won 4th place in the Artificial Intelligence (AI) Tracks at Sea Challenge. https://www.challenge.gov/?challenge=ai-tracks-at-sea
This national competition is organized by the U.S. Navy.

VSU TrojanOne Team: Jose Diaz, Curtrell Trott, Advisor: Ju Wang, Wookjin Choi

The $200,000 prize was distributed among five winning teams, which submitted full working solutions, and three runners-up, which submitted partial working solutions. The monetary prize will be awarded to the school the corresponding team attends: