A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume. - Randy L. Buckner; Denise Head; Jamie Parker; Anthony F. Fotenos; Daniel S. Marcus; John C. Morris; Abraham Z. Snyder (NeuroImage, 2004)

Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults. - Daniel S. Marcus; Tracy H. Wang; Jamie Parker; John G. Csernansky; John C. Morris; Randy L. Buckner (J. Cogn. Neurosci., 2007)

The extensible neuroimaging archive toolkit - An informatics platform for managing, exploring, and sharing neuroimaging data. - Daniel S. Marcus; Timothy R. Olsen; Mohana Ramaratnam; Randy L. Buckner (Neuroinformatics, 2007)

A National Human Neuroimaging Collaboratory Enabled by the Biomedical Informatics Research Network (BIRN). - David B. Keator; Jeffrey S. Grethe; Daniel S. Marcus; I. Burak Özyurt; Syam Gadde; Shawn N. Murphy; Steve Pieper 001; Douglas N. Greve; R. Notestine; Henry Jeremy Bockholt; Philip M. Papadopoulos (IEEE Trans. Inf. Technol. Biomed., 2008)

Derived data storage and exchange workflow for large-scale neuroimaging analyses on the BIRN grid. - David B. Keator; Dingying Wei; Syam Gadde; Henry Jeremy Bockholt; Jeffrey S. Grethe; Daniel S. Marcus; Nicole Aucoin; Ibrahim Burak Özyurt (Frontiers Neuroinformatics, 2009)

Open Access Series of Imaging Studies: Longitudinal MRI Data in Nondemented and Demented Older Adults. - Daniel S. Marcus; Anthony F. Fotenos; John G. Csernansky; John C. Morris; Randy L. Buckner (J. Cogn. Neurosci., 2010)

Informatics and Data Mining Tools and Strategies for the Human Connectome Project. - Daniel S. Marcus; John W. Harwell; Timothy R. Olsen; Michael R. Hodge; Matthew F. Glasser; Fred W. Prior; Mark Jenkinson; Timothy O. Laumann; Sandra W. Curtiss; David C. Van Essen (Frontiers Neuroinformatics, 2011)

Data sharing in neuroimaging research. - Jean-Baptiste Poline; Janis L. Breeze; Satrajit S. Ghosh; Krzysztof J. Gorgolewski; Yaroslav O. Halchenko; Michael Hanke; Christian Haselgrove; Karl G. Helmer; David B. Keator; Daniel S. Marcus; Russell A. Poldrack; Yannick Schwartz; et al. (Frontiers Neuroinformatics, 2012)

PyXNAT: XNAT in Python. - Yannick Schwartz; Alexis Barbot; Benjamin Thyreau; Vincent Frouin; Gaël Varoquaux; Aditya Siram; Daniel S. Marcus; Jean-Baptiste Poline (Frontiers Neuroinformatics, 2012)

DicomBrowser: Software for Viewing and Modifying DICOM Metadata. - Kevin A. Archie; Daniel S. Marcus (J. Digit. Imaging, 2012)

Whitepapers on Imaging Infrastructure for Research - Part 1: General Workflow Considerations. - Bradley James Erickson; Tony Pan; Daniel S. Marcus (J. Digit. Imaging, 2012)

Imaging Infrastructure for Research. Part 2. Data Management Practices. - Daniel S. Marcus; Bradley James Erickson; Tony Pan (J. Digit. Imaging, 2012)

Whitepapers on Imaging Infrastructure for Research Part Three: Security and Privacy. - Tony Pan; Bradley James Erickson; Daniel S. Marcus (J. Digit. Imaging, 2012)

The Human Connectome Project: A data acquisition perspective. - David C. Van Essen; Kâmil Ugurbil; Edward J. Auerbach; Deanna M. Barch; T. E. J. Behrens; R. Bucholz; Acer Chang; Liyong Chen; Maurizio Corbetta; Sandra W. Curtiss; Stefania Della Penna; David A. Feinberg; et al. (NeuroImage, 2012)

XCEDE: An Extensible Schema for Biomedical Data. - Syam Gadde; Nicole Aucoin; Jeffrey S. Grethe; David B. Keator; Daniel S. Marcus; Steve Pieper 001 (Neuroinformatics, 2012)

Predicting a multi-parametric probability map of active tumor extent using random forests. - Fred W. Prior; Sarah Jost Fouke; Tammie L. S. Benzinger; Alicia Boyd; Michael Chicoine; Sharath R. Cholleti; Matthew Kelsey; Bart Keogh; Lauren Kim; Mikhail Milchenko; David G. Politte; Stephen Tyree; et al. (EMBC, 2013)

Northwestern University Schizophrenia Data and Software Tool (NUSDAST). - Lei Wang 032; Alexander Kogan; Derin J. Cobia; Kathryn I. Alpert; Anthony Kolasny; Michael I. Miller; Daniel S. Marcus (Frontiers Neuroinformatics, 2013)

Human Connectome Project informatics: Quality control, database services, and data visualization. - Daniel S. Marcus; Michael P. Harms; Abraham Z. Snyder; Mark Jenkinson; J. Anthony Wilson; Matthew F. Glasser; Deanna M. Barch; Kevin A. Archie; Gregory C. Burgess; Mohana Ramaratnam; Michael R. Hodge; William Horton; et al. (NeuroImage, 2013)

Obscuring Surface Anatomy in Volumetric Imaging Data. - Mikhail Milchenko; Daniel S. Marcus (Neuroinformatics, 2013)

Data dictionary services in XNAT and the Human Connectome Project. - Rick Herrick; Michael McKay; Timothy R. Olsen; William Horton; Mark Florida; Charlie Moore; Daniel S. Marcus (Frontiers Neuroinformatics, 2014)

Going beyond the current neuroinformatics infrastructure. - Xi Cheng; Daniel S. Marcus; John D. Van Horn; Qian Luo; Venkata S. Mattay; Daniel R. Weinberger (Frontiers Neuroinformatics, 2015)

Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data. - Peter V. Kochunov; Neda Jahanshad; Daniel S. Marcus; Anderson M. Winkler; Emma Sprooten; Thomas E. Nichols; Susan N. Wright; L. Elliot Hong; Binish Patel; Timothy Behrens; Saâd Jbabdi; Jesper L. R. Andersson; et al. (NeuroImage, 2015)

Partial volume correction in quantitative amyloid imaging. - Yi Su 004; Tyler M. Blazey; Abraham Z. Snyder; Marcus E. Raichle; Daniel S. Marcus; Beau M. Ances; Randall J. Bateman; Nigel J. Cairns; Patricia Aldea; Lisa Cash; Jon J. Christensen; Karl Friedrichsen; et al. (NeuroImage, 2015)

The Northwestern University Neuroimaging Data Archive (NUNDA). - Kathryn I. Alpert; Alexander Kogan; Todd B. Parrish; Daniel S. Marcus; Lei Wang 032 (NeuroImage, 2016)

XNAT Central: Open sourcing imaging research data. - Rick Herrick; William Horton; Timothy R. Olsen; Michael McKay; Kevin A. Archie; Daniel S. Marcus (NeuroImage, 2016)

ConnectomeDB - Sharing human brain connectivity data. - Michael R. Hodge; William Horton; Timothy Brown; Rick Herrick; Timothy R. Olsen; Michael Hileman; Michael McKay; Kevin A. Archie; Eileen Cler; Michael P. Harms; Gregory C. Burgess; Matthew F. Glasser; et al. (NeuroImage, 2016)

Northwestern University schizophrenia data sharing for SchizConnect: A longitudinal dataset for large-scale integration. - Alexander Kogan; Kathryn I. Alpert; José Luis Ambite; Daniel S. Marcus; Lei Wang 032 (NeuroImage, 2016)

Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research. - Mikhail Milchenko; Abraham Z. Snyder; Pamela LaMontagne; Joshua S. Shimony; Tammie L. S. Benzinger; Sarah Jost Fouke; Daniel S. Marcus (Neuroinformatics, 2016)

The Washington University Central Neuroimaging Data Archive. - Jenny Gurney; Timothy R. Olsen; John Flavin; Mohana Ramaratnam; Kevin A. Archie; James Ransford; Rick Herrick; Lauren Wallace; Jeanette Cline; William Horton; Daniel S. Marcus (NeuroImage, 2017)

Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group. - Susan D. Shenkin; Cyril R. Pernet; Thomas E. Nichols; Jean-Baptiste Poline; Paul M. Matthews; Aad van der Lugt; Clare E. Mackay; Linda J. Lanyon; Bernard Mazoyer; James P. Boardman; Paul M. Thompson; Nick C. Fox; et al. (NeuroImage, 2017)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Automatic detection of contrast enhancement in T1-weighted brain MRI of human adults. - Mikhail Milchenko; Pamela LaMontagne; Daniel S. Marcus (Computer-Aided Diagnosis, 2020)

BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images. - Satrajit Chakrabarty; Aristeidis Sotiras; Mikhail Milchenko; Pamela LaMontagne; Christopher Abraham; Clifford Robinson; Daniel S. Marcus (Image Processing, 2021)

Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease. - Robert X. Smith; Jeremy F. Strain; Aaron Tanenbaum; Anne M. Fagan; Jason Hassenstab; Eric McDade; Suzanne E. Schindler; Brian A. Gordon; Chengjie Xiong; Jasmeer P. Chhatwal; Clifford R. Jack; Celeste Karch; et al. (Brain Connect., 2021)

The Federated Tumor Segmentation (FeTS) Challenge. - Sarthak Pati; Ujjwal Baid; Maximilian Zenk; Brandon Edwards; Micah J. Sheller; G. Anthony Reina; Patrick Foley; Alexey Gruzdev; Jason Martin; Shadi Albarqouni; Yong Chen 016; Russell Taki Shinohara; et al. (CoRR, 2021)

The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. - Ujjwal Baid; Satyam Ghodasara; Michel Bilello; Suyash Mohan; Evan Calabrese; Errol Colak; Keyvan Farahani; Jayashree Kalpathy-Cramer; Felipe C. Kitamura; Sarthak Pati; Luciano M. Prevedello; Jeffrey D. Rudie; et al. (CoRR, 2021)

Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. - Gyujoon Hwang; Ahmed Abdulkadir; Güray Erus; Mohamad Habes; Raymond Pomponio; Haochang Shou; Jimit Doshi; Elizabeth Mamourian; Tanweer Rashid; Murat Bilgel; Yong Fan 001; Aristeidis Sotiras; et al. (CoRR, 2021)

Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy. - Rajarajeswari Muthusivarajan; Adrian Celaya; Joshua P. Yung; Satish Viswanath; Daniel S. Marcus; Caroline Chung; David Fuentes 001 (CoRR, 2021)

The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. - Bhakti Baheti; Diana Waldmannstetter; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; et al. (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - Raghav Mehta; Angelos Filos; Ujjwal Baid; Chiharu Sako; Richard McKinley; Michael Rebsamen; Katrin Dätwyler; Raphael Meier; Piotr Radojewski; Gowtham Krishnan Murugesan; Sahil S. Nalawade; Chandan Ganesh; et al. (CoRR, 2021)

The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research. - Hossein Mohammadian Foroushani; Rajat Dhar; Yasheng Chen; Jenny Gurney; Ali Hamzehloo; Jin-Moo Lee; Daniel S. Marcus (Frontiers Neuroinformatics, 2021)

Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO). - Satrajit Chakrabarty; Syed Amaan Abidi; Mina Mousa; Mahati Mokkarala; Isabelle Hren; Divya Yadav; Matthew Kelsey; Pamela LaMontagne; John Wood; Michael Adams; Yuzhuo Su; Sherry Thorpe; et al. (CoRR, 2022)

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 S. Shimony; Daniel S. Marcus; Aristeidis Sotiras (CoRR, 2022)

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; Aylin Dincer; Daniel S. Marcus; Jasmeer P. Chhatwal; Neill R. Graff-Radford; Gregory S. Day; Christian la Fougère; Richard J. Perrin; et al. (NeuroImage, 2022)

Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. - Satrajit Chakrabarty; Pamela LaMontagne; Joshua S. Shimony; Daniel S. Marcus; Aristeidis Sotiras (Computer-Aided Diagnosis, 2023)

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 (Computer-Aided Diagnosis, 2023)

Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations. - Jin Yang; Daniel S. Marcus; Aristeidis Sotiras (Computer-Aided Diagnosis, 2023)

Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. - Zhijian Yang; Junhao Wen 002; Ahmed Abdulkadir; Yuhan Cui; Güray Erus; Elizabeth Mamourian; Randa Melhem; Dhivya Srinivasan; Sindhuja T. Govindarajan; Jiong Chen; Mohamad Habes; Colin L. Masters; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. - Florian Kofler; Felix Meissen; Felix Steinbauer; Robert Graf; Eva Oswald; Ezequiel de la Rosa; Hongwei Bran Li; Ujjwal Baid; Florian A. Hölzl; Özgün Turgut; Izabela Horvath; Diana Waldmannstetter; et al. (CoRR, 2023)

The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). - Hongwei Bran Li; Gian Marco Conte; Syed Muhammad Anwar; Florian Kofler; Koen Van Leemput; Marie Piraud; Ivan Ezhov; Felix Meissen; Maruf Adewole; Anastasia Janas; Anahita Fathi Kazerooni; Dominic LaBella; et al. (CoRR, 2023)

NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data. - Lei Wang 032; José Luis Ambite; Abhishek M. Appaji; Janine Bijsterbosch; Jérôme Dockès; Rick Herrick; Alexander Kogan; Howard Lander; Daniel S. Marcus; Stephen Moore; Jean-Baptiste Poline; Arcot Rajasekar; et al. (Frontiers Neuroinformatics, 2023)

Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation. - Jin Yang; Daniel S. Marcus; Aristeidis Sotiras (CoRR, 2024)

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation. - Jin Yang; Peijie Qiu; Yichi Zhang; Daniel S. Marcus; Aristeidis Sotiras (CoRR, 2024)

DMC-Net: Lightweight Dynamic Multi-scale and Multi-resolution convolution network for pancreas segmentation in CT images. - Jin Yang; Daniel S. Marcus; Aristeidis Sotiras (Biomed. Signal Process. Control., 2025)

Brain Tumor Sequence Registration (BraTS-Reg) Challenge Dataset. - Bhakti Baheti; Satrajit Chakrabarty; Hamed Akbari; Michel Bilello; Benedikt Wiestler; Julian Schwarting; Evan Calabrese; Jeffrey D. Rudie; Syed Amaan Abidi; Mina Mousa; Javier E. Villanueva-Meyer; Brandon K. K. Fields; et al. (Zenodo, 2025)