Publications by authors named "Daniel S Marcus"

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Large-Scale Evaluation of Machine Learning Models in Identifying Follow-Up Recommendations in Radiology Reports.
Pan Xiao, Xiaobing Yu, Sung Min Ha, Abdalla Bani, Aaron Mintz, Daniel S Marcus

Radiology· November 2025

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Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge.
Maximilian Zenk, Ujjwal Baid, Sarthak Pati, Akis Linardos, Brandon Edwards, Daniel S Marcus

Nat Commun· July 2025

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Machine learning-based prognostic subgrouping of glioblastoma: A multicenter study.
Hamed Akbari, Spyridon Bakas, Chiharu Sako, Anahita Fathi Kazerooni, Javier Villanueva-Meyer, Daniel S Marcus

Neuro Oncol· May 2025

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Machine learning reveals distinct neuroanatomical signatures of cardiovascular and metabolic diseases in cognitively unimpaired individuals.
Sindhuja Tirumalai Govindarajan, Elizabeth Mamourian, Guray Erus, Ahmed Abdulkadir, Randa Melhem, Daniel S Marcus

Nat Commun· March 2025

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The Brain Tumor Segmentation - Metastases (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.
Ahmed W Moawad, Anastasia Janas, Ujjwal Baid, Divya Ramakrishnan, Rachit Saluja, Daniel S Marcus

ArXiv· December 2024

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Relationship between MRI brain-age heterogeneity, cognition, genetics and Alzheimer's disease neuropathology.
Mathilde Antoniades, Dhivya Srinivasan, Junhao Wen, Guray Erus, Ahmed Abdulkadir, Daniel S Marcus

EBioMedicine· November 2024

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Brain aging patterns in a large and diverse cohort of 49,482 individuals.
Zhijian Yang, Junhao Wen, Guray Erus, Sindhuja T Govindarajan, Randa Melhem, Daniel S Marcus

Nat Med· October 2024

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Genetic and clinical correlates of two neuroanatomical AI dimensions in the Alzheimer's disease continuum.
Junhao Wen, Zhijian Yang, Ilya M Nasrallah, Yuhan Cui, Guray Erus, Daniel S Marcus

Transl Psychiatry· October 2024

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Evaluating the relationship between magnetic resonance image quality metrics and deep learning-based segmentation accuracy of brain tumors.
Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P Yung, James P Long, Satish E Viswanath, Daniel S Marcus

Med Phys· July 2024

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AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning.
Shuyang Fan, Maria Rosana Ponisio, Pan Xiao, Sung Min Ha, Satrajit Chakrabarty, Daniel S Marcus

Radiology· June 2024

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Genetic and Clinical Correlates of AI-Based Brain Aging Patterns in Cognitively Unimpaired Individuals.
Ioanna Skampardoni, Ilya M Nasrallah, Ahmed Abdulkadir, Junhao Wen, Randa Melhem, Daniel S Marcus

JAMA Psychiatry· May 2024

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Optimal approaches to analyzing functional MRI data in glioma patients.
Ki Yun Park, Joshua S Shimony, Satrajit Chakrabarty, Aaron B Tanenbaum, Carl D Hacker, Daniel S Marcus

J Neurosci Methods· February 2024

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Gene-SGAN: discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Guray Erus, Daniel S Marcus

Nat Commun· January 2024

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Genomic loci influence patterns of structural covariance in the human brain.
Junhao Wen, Ilya M Nasrallah, Ahmed Abdulkadir, Theodore D Satterthwaite, Zhijian Yang, Marcus V Zanetti, Daniel S Marcus

Proc Natl Acad Sci U S A· December 2023

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Five dominant dimensions of brain aging are identified via deep learning: associations with clinical, lifestyle, and genetic measures.
Zhijian Yang, Junhao Wen, Guray Erus, Sindhuja T Govindarajan, Randa Melhem, Daniel S Marcus

medRxiv· December 2023

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Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium.
Matthew D Lee, Sohil H Patel, Suyash Mohan, Hamed Akbari, Spyridon Bakas, Daniel S Marcus

Neuroradiology· September 2023

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Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-Oncology (I3CR-WANO).
Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Isabelle Hren, Daniel S Marcus

JCO Clin Cancer Inform· May 2023

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Structural gray matter alterations in glioblastoma and high-grade glioma-A potential biomarker of survival.
Bidhan Lamichhane, Patrick H Luckett, Donna Dierker, Ki Yun Park, Harold Burton, Daniel S Marcus

Neurooncol Adv· April 2023

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MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network.
Satrajit Chakrabarty, Pamela LaMontagne, Joshua Shimony, Daniel S Marcus, Aristeidis Sotiras

Neurooncol Adv· March 2023

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Siam-VAE: A hybrid deep learning based anomaly detection framework for automated quality control of head CT scans.
Soumyendu Sekhar Ghosh, Rajat Dhar, Daniel S Marcus, Aristeidis Sotiras

Proc SPIE Int Soc Opt Eng· February 2023

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Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network.
Satrajit Chakrabarty, Pamela LaMontagne, Joshua Shimony, Daniel S Marcus, Aristeidis Sotiras

Proc SPIE Int Soc Opt Eng· February 2023

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Deep learning-based end-to-end scan-type classification, pre-processing, and segmentation of clinical neuro-oncology studies.
Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Matthew Kelsey, Daniel S Marcus

Proc SPIE Int Soc Opt Eng· February 2023

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Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Guray Erus, Daniel S Marcus

ArXiv· January 2023

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Covariance-based vs. correlation-based functional connectivity dissociates healthy aging from Alzheimer disease.
Jeremy F Strain, Matthew R Brier, Aaron Tanenbaum, Brian A Gordon, John E McCarthy, Daniel S Marcus

Neuroimage· November 2022

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CSF Tau phosphorylation at Thr205 is associated with loss of white matter integrity in autosomal dominant Alzheimer disease.
Jeremy F Strain, Nicolas Barthelemy, Kanta Horie, Brian A Gordon, Collin Kilgore, Daniel S Marcus

Neurobiol Dis· June 2022

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