Research output per year
Research output per year
Personal profile
Research interests
I have multidisciplinary research interests spanning disease biology, engineering, imaging sciences, and informatics. Our work integrates computational imaging, artificial intelligence, and clinical/translational medicine to discover and validate quantitative imaging biomarkers and to define therapeutic endpoints in cancer and other diseases.
Available to Mentor:
- PhD Students
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Multi-compartment metabolic assessment of the kidneys by co-hyperpolarized 13C MRI
von Morze, C., Shaw, A., Shoghi, K. I. & Blazey, T., Sep 2025, In: Magnetic resonance in medicine. 94, 3, p. 905-912 8 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Noise-aware system generative model (NASGM): positron emission tomography (PET) image simulation framework with observer validation studies
Li, S., Dutta, K., Pal, D. & Shoghi, K. I., Jul 2025, In: Medical physics. 52, 7, e17962.Research output: Contribution to journal › Article › peer-review
Open Access -
Noise Aware System Generative Model (NASGM) of PET: a deep learning-based model for PET image simulation with quantitative assessment
Li, S., Dutta, K. & Shoghi, K. I., 2025, Medical Imaging 2025: Physics of Medical Imaging. Sabol, J. M., Li, K. & Abbaszadeh, S. (eds.). SPIE, 134052N. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13405).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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PanNet: A Feature-based Attention Aggregation Model for Segmenting Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT Images of the Abdomen
Pal, D., Dutta, K., Ludwig, D. R. & Shoghi, K., 2025, Medical Imaging 2025: Computer-Aided Diagnosis. Astley, S. M. & Wismuller, A. (eds.). SPIE, 134071R. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 13407).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deep learning generation of preclinical positron emission tomography (PET) images from low-count PET with task-based performance assessment
Dutta, K., Laforest, R., Luo, J., Jha, A. K. & Shoghi, K. I., Jun 2024, In: Medical physics. 51, 6, p. 4324-4339 16 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Scopus citations