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Sheeba J Sujit

6PUBLICATIONS
35CO-AUTHORS
Cancer diagnosisPredictive and prognostic markersDeep learning
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Journal

Publications (6)

Sort by Publication Date:
|Nov 13, 2025
Radiomics for Dynamic Lung Cancer Risk Prediction in USPSTF-Ineligible Patients.

Morteza Salehjahromi, Hui Li, Eman Showkatian

|Apr 11, 2024
Enhancing NSCLC recurrence prediction with PET/CT habitat imaging, ctDNA, and integrative radiogenomics-blood insights.

Sheeba J Sujit, Muhammad Aminu, Tatiana V Karpinets

|Oct 14, 2023
Automated Cellular-Level Dual Global Fusion of Whole-Slide Imaging for Lung Adenocarcinoma Prognosis.

Songhui Diao, Pingjun Chen, Eman Showkatian

|Jan 08, 2023
Habitat Imaging Biomarkers for Diagnosis and Prognosis in Cancer Patients Infected with COVID-19.

Muhammad Aminu, Divya Yadav, Lingzhi Hong

|Oct 19, 2019
Deep-Learning-Based Neural Tissue Segmentation of MRI in Multiple Sclerosis: Effect of Training Set Size.

Ponnada A Narayana, Ivan Coronado, Sheeba J Sujit

|Feb 28, 2019
Automated image quality evaluation of structural brain MRI using an ensemble of deep learning networks.

Sheeba J Sujit, Ivan Coronado, Arash Kamali

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Frequent Collaborators

4 joint publications

Lingzhi Hong

4 joint publications

Jianjun Zhang

4 joint publications

Jia Wu

3 joint publications

Pingjun Chen

3 joint publications

J Jack Lee

2 joint publications

Simon Heeke

2 joint publications

Xiuning Le

2 joint publications

Mara B Antonoff

2 joint publications

Amgad Muneer

1 joint publications

Kristy K Brock

Frequent Collaborators

4 joint publications

Lingzhi Hong

4 joint publications

Jianjun Zhang

4 joint publications

Jia Wu

3 joint publications

Pingjun Chen

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