Daniel S. Marcus

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 30

Top Topics

Convolutional Neural Network

Medical Image Segmentation

Magnetic Resonance Images

Top Venues

Frontiers Neuroinformatics

Medical Imaging: Computer-Aided Diagnosis

Publications

Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation. CoRR (2024)
Jin Yang, Peijie Qiu, Yichi Zhang, Daniel S. Marcus, Aristeidis Sotiras
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation. CoRR (2024)
Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras
Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network. Medical Imaging: Computer-Aided Diagnosis (2023)
Florian Kofler, Felix Meissen, Felix Steinbauer, Robert Graf, Eva Oswald, Ezequiel de la Rosa, Hongwei Bran Li, Ujjwal Baid, Florian A. Hölzl, Oezguen Turgut, Izabela Horvath, Diana Waldmannstetter, Christina Bukas, Maruf Adewole, Syed Muhammad Anwar, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Gian Marco Conte, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Juan Eugenio Iglesias, Koen Van Leemput, Spyridon Bakas, Daniel Rueckert, Benedikt Wiestler, Ivan Ezhov, Marie Piraud, Bjoern H. Menze
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR (2023)
Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR (2023)
Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations. Medical Imaging: Computer-Aided Diagnosis (2023)
Lei Wang, 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, Satya S. Sahoo, Matthew D. Turner, Xiaochen Wang, Yue Wang, Jessica A. Turner
NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data. Frontiers Neuroinformatics 17 (2023)
Hongwei Bran Li, Syed Muhammad Anwar, Gian Marco Conte, Florian Kofler, Koen Van Leemput, Marie Piraud, Ivan Ezhov, Felix Meissen, Maruf Adewole, Anastasia Janas, Anahita Fathi Kazerooni, Dominic LaBella, Ahmed W. Moawad, Keyvan Farahani, James A. Eddy, Timothy Bergquist, Verena Chung, Russell Takeshi Shinohara, Farouk Dako, Walter I. Wiggins, Zachary Reitman, Chunhao Wang, Xinyang Liu, Zhifan Jiang, Ariana Familiar, Elaine Johanson, Zeke Meier, Christos Davatzikos, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Suyash Mohan, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, Errol Colak, Priscila Crivellaro, András Jakab, Jake Albrecht, Udunna Anazodo, Mariam Aboian, Thomas Yu, Verena Chung, Timothy Bergquist, James A. Eddy, Jake Albrecht, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR (2023)
Soumyendu Sekhar Ghosh, Rajat Dhar, Daniel S. Marcus, Aristeidis Sotiras
Siam-VAE: a hybrid deep learning based anomaly detection framework for automated quality control of head CT scans. Medical Imaging: Computer-Aided Diagnosis (2023)
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, Caroline Chung, Aristeidis Sotiras, Daniel S. Marcus
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO). CoRR (2022)
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, Stephen P. Salloway, Peter R. Schofield, Igor Yakushev, Takeshi Ikeuchi, Jonathan Vöglein, John C. Morris, Tammie L. S. Benzinger, Randall J. Bateman, Beau M. Ances, Abraham Z. Snyder
Covariance-based vs. correlation-based functional connectivity dissociates healthy aging from Alzheimer disease. NeuroImage 261 (2022)
Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network. CoRR (2022)
Bhakti Baheti, Diana Waldmannstetter, Satrajit Chakrabarty, Hamed Akbari, Michel Bilello, Benedikt Wiestler, Julian Schwarting, Evan Calabrese, Jeffrey D. Rudie, Syed Abidi, Mina Mousa, Javier E. Villanueva-Meyer, Daniel S. Marcus, Christos Davatzikos, Aristeidis Sotiras, Bjoern H. Menze, Spyridon Bakas
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. CoRR (2021)
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, Chiharu Sako, Russell T. Shinohara, Timothy Bergquist, Rong Chai, James Eddy, Julia Elliott, Walter Reade, Thomas Schaffter, Thomas Yu, Jiaxin Zheng, BraTS Annotators, Christos Davatzikos, John Mongan, Christopher Hess, Soonmee Cha, Javier E. Villanueva-Meyer, John B. Freymann, Justin S. Kirby, Benedikt Wiestler, Priscila Crivellaro, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Bjoern H. Menze, Adam E. Flanders, Spyridon Bakas
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. CoRR (2021)
Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P. Yung, Satish Viswanath, Daniel S. Marcus, Caroline Chung, David Fuentes
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy. CoRR (2021)
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, Sarah Berman, Jared R. Brosch, James J. Lah, Adam M. Brickman, David M. Cash, Nick C. Fox, Neill R. Graff-Radford, Johannes Levin, James Noble, David M. Holtzman, Colin L. Masters, Martin R. Farlow, Christoph Laske, Peter R. Schofield, Daniel S. Marcus, John C. Morris, Tammie L. S. Benzinger, Randall J. Bateman, Beau M. Ances
Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease. Brain Connect. 11 (3) (2021)
Sarthak Pati, Ujjwal Baid, Maximilian Zenk, Brandon Edwards, Micah J. Sheller, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Jason Martin, Shadi Albarqouni, Yong Chen, Russell Taki Shinohara, Annika Reinke, David Zimmerer, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Rivka R. Colen, Aikaterini Kotrotsou, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Hassan M. Fathallah-Shaykh, Roland Wiest, András Jakab, Marc-André Weber, Abhishek Mahajan, Lena Maier-Hein, Jens Kleesiek, Bjoern H. Menze, Klaus H. Maier-Hein, Spyridon Bakas
The Federated Tumor Segmentation (FeTS) Challenge. CoRR (2021)
Satrajit Chakrabarty, Aristeidis Sotiras, Mikhail Milchenko, Pamela LaMontagne, Christopher Abraham, Clifford Robinson, Daniel S. Marcus
BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images. Medical Imaging: Image Processing (2021)
Gyujoon Hwang, Ahmed Abdulkadir, Güray Erus, Mohamad Habes, Raymond Pomponio, Haochang Shou, Jimit Doshi, Elizabeth Mamourian, Tanweer Rashid, Murat Bilgel, Yong Fan, Aristeidis Sotiras, Dhivya Srinivasan, John C. Morris, Daniel S. Marcus, Marilyn S. Albert, R. Nick Bryan, Susan M. Resnick, Ilya M. Nasrallah, Christos Davatzikos, David A. Wolk
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning. CoRR (2021)
Hossein Mohammadian Foroushani, Rajat Dhar, Yasheng Chen, Jenny Gurney, Ali Hamzehloo, Jin-Moo Lee, Daniel S. Marcus
The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research. Frontiers Neuroinformatics 15 (2021)
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, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR (2021)
Mikhail Milchenko, Pamela LaMontagne, Daniel S. Marcus
Automatic detection of contrast enhancement in T1-weighted brain MRI of human adults. Medical Imaging: Computer-Aided Diagnosis (2020)
Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR (2018)
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
The Washington University Central Neuroimaging Data Archive. NeuroImage 144 (2017)
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, Daniel S. Marcus, Aziz Sheikh, Simon R. Cox, Devasuda Anblagan, Dominic Job, David Alexander Dickie, David Rodriguez, Joanna M. Wardlaw
Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group. NeuroImage 153 (2017)
Kathryn I. Alpert, Alexander Kogan, Todd B. Parrish, Daniel S. Marcus, Lei Wang
The Northwestern University Neuroimaging Data Archive (NUNDA). NeuroImage 124 (2016)
Rick Herrick, William Horton, Timothy R. Olsen, Michael McKay, Kevin A. Archie, Daniel S. Marcus
XNAT Central: Open sourcing imaging research data. NeuroImage 124 (2016)
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, Jennifer Stine Elam, Sandra W. Curtiss, Deanna M. Barch, Robert Oostenveld, Linda J. Larson-Prior, Kamil Ugurbil, David C. Van Essen, Daniel S. Marcus
ConnectomeDB - Sharing human brain connectivity data. NeuroImage 124 (2016)
Mikhail Milchenko, Abraham Z. Snyder, Pamela LaMontagne, Joshua S. Shimony, Tammie L. Benzinger, Sarah Jost Fouke, Daniel S. Marcus
Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research. Neuroinformatics 14 (3) (2016)
Alexander Kogan, Kathryn I. Alpert, José Luis Ambite, Daniel S. Marcus, Lei Wang
Northwestern University schizophrenia data sharing for SchizConnect: A longitudinal dataset for large-scale integration. NeuroImage 124 (2016)
Yi Su, 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, Russ C. Hornbeck, Angela M. Farrar, Christopher J. Owen, Richard Mayeux, Adam M. Brickman, William E. Klunk, Julie C. Price, Paul M. Thompson, Bernardino Ghetti, Andrew J. Saykin, Reisa A. Sperling, Keith A. Johnson, Peter R. Schofield, Virginia Buckles, John C. Morris, Tammie L. S. Benzinger
Partial volume correction in quantitative amyloid imaging. NeuroImage 107 (2015)
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, Christophe Lenglet, Essa Yacoub, Steen Moeller, Eddie Auerbach, Kamil Ugurbil, Stamatios N. Sotiropoulos, Rachel M. Brouwer, Bennett A. Landman, Hervé Lemaître, Anouk den Braber, Marcel P. Zwiers, Stuart Ritchie, Kimm van Hulzen, Laura Almasy, Joanne E. Curran, Greig I. de Zubicaray, Ravi Duggirala, Peter T. Fox
Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data. NeuroImage 111 (2015)
Rick Herrick, Michael McKay, Timothy R. Olsen, William Horton, Mark Florida, Charlie Moore, Daniel S. Marcus
Data dictionary services in XNAT and the Human Connectome Project. Frontiers Neuroinformatics 8 (2014)
Xi Cheng, Daniel S. Marcus, John D. Van Horn, Qian Luo, Venkata S. Mattay, Daniel R. Weinberger
Going beyond the current neuroinformatics infrastructure. Frontiers Neuroinformatics 9 (2014)
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, Rick Herrick, Timothy R. Olsen, Michael McKay, Matthew House, Michael Hileman, Erin Reid, John W. Harwell, Timothy S. Coalson, Jon Schindler, Jennifer Stine Elam, Sandra W. Curtiss, David C. Van Essen
Human Connectome Project informatics: Quality control, database services, and data visualization. NeuroImage 80 (2013)
Mikhail Milchenko, Daniel S. Marcus
Obscuring Surface Anatomy in Volumetric Imaging Data. Neuroinformatics 11 (1) (2013)
Lei Wang, Alexander Kogan, Derin J. Cobia, Kathryn I. Alpert, Anthony Kolasny, Michael I. Miller, Daniel S. Marcus
Northwestern University Schizophrenia Data and Software Tool (NUSDAST). Frontiers Neuroinformatics 7 (2013)
Fred W. Prior, Sarah Jost Fouke, Tammie L. Benzinger, Alicia Boyd, Michael Chicoine, Sharath R. Cholleti, Matthew Kelsey, Bart Keogh, Lauren Kim, Mikhail Milchenko, David G. Politte, Stephen Tyree, Kilian Q. Weinberger, Daniel S. Marcus
Predicting a multi-parametric probability map of active tumor extent using random forests. EMBC (2013)
Yannick Schwartz, Alexis Barbot, Benjamin Thyreau, Vincent Frouin, Gaël Varoquaux, Aditya Siram, Daniel S. Marcus, Jean-Baptiste Poline
PyXNAT: XNAT in Python CoRR (2013)
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, John Ashburner, David N. Kennedy
Data sharing in neuroimaging research. Frontiers Neuroinformatics 6 (2012)
Kevin A. Archie, Daniel S. Marcus
DicomBrowser: Software for Viewing and Modifying DICOM Metadata. J. Digit. Imaging 25 (5) (2012)
Bradley James Erickson, Tony Pan, Daniel S. Marcus
Whitepapers on Imaging Infrastructure for Research - Part 1: General Workflow Considerations. J. Digit. Imaging 25 (4) (2012)
David C. Van Essen, Kamil 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, Matthew F. Glasser, Noam Harel, A. C. Heath, Linda J. Larson-Prior, Daniel S. Marcus, Georgios Michalareas, Steen Moeller, Robert Oostenveld, Steven E. Petersen, Fred W. Prior, Bradley L. Schlaggar, Stephen M. Smith, Abraham Z. Snyder, Junqian Xu, Essa Yacoub
The Human Connectome Project: A data acquisition perspective. NeuroImage 62 (4) (2012)
Syam Gadde, Nicole Aucoin, Jeffrey S. Grethe, David B. Keator, Daniel S. Marcus, Steve Pieper
XCEDE: An Extensible Schema for Biomedical Data. Neuroinformatics 10 (1) (2012)
Yannick Schwartz, Alexis Barbot, Benjamin Thyreau, Vincent Frouin, Gaël Varoquaux, Aditya Siram, Daniel S. Marcus, Jean-Baptiste Poline
PyXNAT: XNAT in Python. Frontiers Neuroinformatics 6 (2012)
Daniel S. Marcus, Bradley James Erickson, Tony Pan
Imaging Infrastructure for Research. Part 2. Data Management Practices. J. Digit. Imaging 25 (5) (2012)
Tony Pan, Bradley James Erickson, Daniel S. Marcus
Whitepapers on Imaging Infrastructure for Research Part Three: Security and Privacy. J. Digit. Imaging 25 (6) (2012)
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
Informatics and Data Mining Tools and Strategies for the Human Connectome Project. Frontiers Neuroinformatics 5 (2011)
Daniel S. Marcus, Anthony F. Fotenos, John G. Csernansky, John C. Morris, Randy L. Buckner
Open Access Series of Imaging Studies: Longitudinal MRI Data in Nondemented and Demented Older Adults. J. Cogn. Neurosci. 22 (12) (2010)
David B. Keator, Dingying Wei, Syam Gadde, Henry Jeremy Bockholt, Jeffrey S. Grethe, Daniel S. Marcus, Nicole Aucoin, Ibrahim Burak Özyurt
Derived data storage and exchange workflow for large-scale neuroimaging analyses on the BIRN grid. Frontiers Neuroinformatics 3 (2009)
David B. Keator, Jeffrey S. Grethe, Daniel S. Marcus, I. Burak Özyurt, Syam Gadde, Shawn N. Murphy, Steve Pieper, Douglas N. Greve, R. Notestine, Henry Jeremy Bockholt, Philip M. Papadopoulos
A National Human Neuroimaging Collaboratory Enabled by the Biomedical Informatics Research Network (BIRN). IEEE Trans. Inf. Technol. Biomed. 12 (2) (2008)
Daniel S. Marcus, Tracy H. Wang, Jamie Parker, John G. Csernansky, John C. Morris, Randy L. Buckner
Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults. J. Cogn. Neurosci. 19 (9) (2007)
Daniel S. Marcus, Timothy R. Olsen, Mohana Ramaratnam, Randy L. Buckner
The extensible neuroimaging archive toolkit - An informatics platform for managing, exploring, and sharing neuroimaging data. Neuroinformatics 5 (1) (2007)
Randy L. Buckner, Denise Head, Jamie Parker, Anthony F. Fotenos, Daniel S. Marcus, John C. Morris, Abraham Z. Snyder
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. NeuroImage 23 (2) (2004)