Personal profile
Research interests
Dr. Marcus’ laboratory builds imaging informatics and analysis tools, with a particular focus on neuroimaging. The laboratory has developed the XNAT imaging informatics platform (www.xnat.org), open source software used in facilities around the world to manage and share neuroimaging and related data. Dr. Marcus directs a number of service cores at the University, including for the Alzheimer’s Disease Research Center, the Intellectual Developmental Disabilities Research Center, and NINDS Center Core for Brain Imaging. He’s also an investigator in several NIH-backed initiatives to develop a national informatics infrastructure, including the Biomedical Informatics Research Network (BIRN), the National Alliance for Medical Image Computing (NAMIC), and Informatics for Integrating Biology and the Bedside (I2B2).
Available to Mentor:
- PhD Students
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Collaborations and top research areas from the last five years
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Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling
Yang, J., Yu, X., Qiu, P., Marcus, D. & Sotiras, A., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 3-12 10 p. (Lecture Notes in Computer Science; vol. 15965 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
1 Link opens in a new tab Scopus citations -
D-Net: Dynamic large kernel with dynamic feature fusion for volumetric medical image segmentation
Yang, J., Qiu, P., Zhang, Y., Marcus, D. S. & Sotiras, A., Mar 2026, In: Biomedical Signal Processing and Control. 113, 108837.Research output: Contribution to journal › Article › peer-review
Open Access12 Link opens in a new tab Scopus citations -
The ADAPT learning cancer treatment system: ARPA-H's initiative to revolutionize cancer therapy
The ADAPT Consortium, Mar 9 2026, In: Cancer Cell. 44, 3, p. 449-454 6 p.Research output: Contribution to journal › Comment/debate
Open Access -
A Platform for Automatic Extraction of Imaging Biomarkers in CT Scans from Ischemic and Hemorrhagic Stroke Patients
Kumar, A., Chen, Y., Cifarelli, J., Anand, A., Xu, A., Gurney, J., Marcus, D. & Dhar, R., 2025, (Accepted/In press) In: Journal of Imaging Informatics in Medicine.Research output: Contribution to journal › Article › peer-review
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DMC-Net: Lightweight Dynamic Multi-scale and Multi-resolution convolution network for pancreas segmentation in CT images
Yang, J., Marcus, D. S. & Sotiras, A., Nov 2025, In: Biomedical Signal Processing and Control. 109, 107896.Research output: Contribution to journal › Article › peer-review
Open Access6 Link opens in a new tab Scopus citations