activity
20202026
most citedDiffusionCT: Latent Diffusion Model for CT Image Standardization

6 citations · 20 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

RA-CMF: Region-Adaptive Conditional MeanFlow for CT Image Reconstruction

Md Shifatul Ahsan Apurba, Md Selim, Jin Chen

The use of CT imaging is important for screening, diagnosis, therapy planning, and prognosis of lung cancers. Unfortunately, due to differences in imaging protocols and scanner mod…

eess.IV2023★ 4 cited

Latent Diffusion Model for Medical Image Standardization and Enhancement

Md Selim, Jie Zhang, Faraneh Fathi +4

Computed tomography (CT) serves as an effective tool for lung cancer screening, diagnosis, treatment, and prognosis, providing a rich source of features to quantify temporal and sp…

eess.IV2023★ 6 cited

DiffusionCT: Latent Diffusion Model for CT Image Standardization

Md Selim, Jie Zhang, Michael A. Brooks +2

Computed tomography (CT) is one of the modalities for effective lung cancer screening, diagnosis, treatment, and prognosis. The features extracted from CT images are now used to qu…

stat.ME2022

Multivariate Sparse Group Lasso Joint Model for Radiogenomics Data

Tiantian Zeng, Md Selim, Jie Zhang +3

Radiogenomics is an emerging field in cancer research that combines medical imaging data with genomic data to predict patients clinical outcomes. In this paper, we propose a multiv…

eess.IV2021★ 5 cited

Cross-Vendor CT Image Data Harmonization Using CVH-CT

Md Selim, Jie Zhang, Baowei Fei +3

While remarkable advances have been made in Computed Tomography (CT), most of the existing efforts focus on imaging enhancement while reducing radiation dose. How to harmonize CT i…

eess.IV2021★ 2 cited

CT Image Harmonization for Enhancing Radiomics Studies

Md Selim, Jie Zhang, Baowei Fei +2

While remarkable advances have been made in Computed Tomography (CT), capturing CT images with non-standardized protocols causes low reproducibility regarding radiomic features, fo…

eess.IV2020★ 3 cited

STAN-CT: Standardizing CT Image using Generative Adversarial Network

Md Selim, Jie Zhang, Baowei Fei +2

Computed tomography (CT) plays an important role in lung malignancy diagnostics and therapy assessment and facilitating precision medicine delivery. However, the use of personalize…