activity
20202025
most citedDiffusionCT: Latent Diffusion Model for CT Image Standardization

6 citations · 22 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2025

Poisson Flow Consistency Training

Anthony Zhang, Mahmut Gokmen, Dennis Hein +4

The Poisson Flow Consistency Model (PFCM) is a consistency-style model based on the robust Poisson Flow Generative Model++ (PFGM++) which has achieved success in unconditional imag…

eess.IV2024

Enhancing Low Dose Computed Tomography Images Using Consistency Training Techniques

Mahmut S. Gokmen, Jie Zhang, Ge Wang +2

Diffusion models have significant impact on wide range of generative tasks, especially on image inpainting and restoration. Although the improvements on aiming for decreasing numbe…

eess.IV2024★ 2 cited

Multiscale Latent Diffusion Model for Enhanced Feature Extraction from Medical Images

Rabeya Tus Sadia, Jie Zhang, Jin Chen

Various imaging modalities are used in patient diagnosis, each offering unique advantages and valuable insights into anatomy and pathology. Computed Tomography (CT) is crucial in d…

cs.LG2024

High Noise Scheduling is a Must

Mahmut S. Gokmen, Cody Bumgardner, Jie Zhang +2

Consistency models possess high capabilities for image generation, advancing sampling steps to a single step through their advanced techniques. Current advancements move one step f…

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…