Daniel S. Marcus

60 papers B 1Journal 53Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
D-Net: Dynamic large kernel with dynamic feature fusion for volumetric medical image segmentation.
Biomed. Signal Process. Control.
Jin Yang, Peijie Qiu, Yichi Zhang, Daniel S. Marcus, Aristeidis Sotiras
2025 — conf
Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling.
MICCAI (6)
Jin Yang, Xiaobing Yu, Peijie Qiu, Daniel S. Marcus, Aristeidis Sotiras
2025 J jnl
Adapting Medical Vision Foundation Models for Volumetric Medical Image Segmentation via Active Learning and Selective Semi-supervised Fine-tuning.
CoRR
Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
2025 J jnl
DMC-Net: Lightweight Dynamic Multi-scale and Multi-resolution convolution network for pancreas segmentation in CT images.
Biomed. Signal Process. Control.
Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
2025 J jnl
Summary of the National Cancer Institute 2023 Virtual Workshop on Medical Image De-identification - Part 1: Report of the MIDI Task Group - Best Practices and Recommendations, Tools for Conventional Approaches to De-identification, International Approaches to De-identification, and Industry Panel on Image De-identification.
J. Imaging Inform. Medicine
David A. Clunie, Fred W. Prior, Michael W. Rutherford, Stephen Moore, William Parker, Haridimos Kondylakis, Christian Ludwigs, Juergen Klenk, Robert Lou, Lawrence O'Sullivan, Daniel S. Marcus, Jiri Dobes, Abraham Gutman, Keyvan Farahani
2024 J jnl
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation.
CoRR
Jin Yang, Peijie Qiu, Yichi Zhang, Daniel S. Marcus, Aristeidis Sotiras
2024 J jnl
DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images.
CoRR
Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
2024 J jnl
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation.
CoRR
Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
2023 — conf
Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations.
Computer-Aided Diagnosis
Jin Yang, Daniel S. Marcus, Aristeidis Sotiras
2023 J jnl
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering.
CoRR
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
2023 J jnl
NeuroBridge: a prototype platform for discovery of the long-tail neuroimaging data.
Frontiers Neuroinformatics
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
2023 — conf
Non-invasive classification of IDH mutation status of gliomas from multi-modal MRI using a 3D convolutional neural network.
Computer-Aided Diagnosis
Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras
2023 — conf
Siam-VAE: a hybrid deep learning based anomaly detection framework for automated quality control of head CT scans.
Computer-Aided Diagnosis
Soumyendu Sekhar Ghosh, Rajat Dhar, Daniel S. Marcus, Aristeidis Sotiras
2023 J jnl
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn).
CoRR
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, 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, Ujjwal Baid, Spyridon Bakas, Marius George Linguraru, Bjoern H. Menze, Juan Eugenio Iglesias, Benedikt Wiestler
2023 J jnl
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting.
CoRR
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, 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
2022 J jnl
Covariance-based vs. correlation-based functional connectivity dissociates healthy aging from Alzheimer disease.
NeuroImage
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
2022 J jnl
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO).
CoRR
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
2022 J jnl
MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network.
CoRR
Satrajit Chakrabarty, Pamela LaMontagne, Joshua S. Shimony, Daniel S. Marcus, Aristeidis Sotiras
2021 B conf
BrainTumorNet: multi-task learning for joint segmentation of high-grade glioma and brain metastases from MR images.
Image Processing
Satrajit Chakrabarty, Aristeidis Sotiras, Mikhail Milchenko, Pamela LaMontagne, Christopher Abraham, Clifford G. Robinson, Daniel S. Marcus
2021 J jnl
Correlation between image quality metrics of magnetic resonance images and the neural network segmentation accuracy.
CoRR
Rajarajeswari Muthusivarajan, Adrian Celaya, Joshua P. Yung, Satish Viswanath, Daniel S. Marcus, Caroline Chung, David Fuentes
2021 J jnl
Disentangling Alzheimer's disease neurodegeneration from typical brain aging using machine learning.
CoRR
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
2021 J jnl
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results.
CoRR
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 Caballero, 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 H. Meyer, Nisarg A. Shah, Sanjay N. 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
2021 J jnl
Resting-State Functional Connectivity Disruption as a Pathological Biomarker in Autosomal Dominant Alzheimer Disease.
Brain Connect.
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
2021 J jnl
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients.
CoRR
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, Daniel S. Marcus, Christos Davatzikos, Aristeidis Sotiras, Bjoern H. Menze, Spyridon Bakas
2021 J jnl
The Federated Tumor Segmentation (FeTS) Challenge.
CoRR
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
2021 J jnl
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification.
CoRR
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 A. 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
2021 J jnl
The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research.
Frontiers Neuroinformatics
Hossein Mohammadian Foroushani, Rajat Dhar, Yasheng Chen, Jenny Gurney, Ali Hamzehloo, Jin-Moo Lee, Daniel S. Marcus
2020 — conf
Automatic detection of contrast enhancement in T1-weighted brain MRI of human adults.
Computer-Aided Diagnosis
Mikhail Milchenko, Pamela LaMontagne, Daniel S. Marcus
2018 J jnl
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.
CoRR
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.
2017 J jnl
Improving data availability for brain image biobanking in healthy subjects: Practice-based suggestions from an international multidisciplinary working group.
NeuroImage
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
2017 J jnl
The Washington University Central Neuroimaging Data Archive.
NeuroImage
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
2016 J jnl
ConnectomeDB - Sharing human brain connectivity data.
NeuroImage
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, Kâmil Ugurbil, David C. Van Essen, Daniel S. Marcus
2016 J jnl
Heterogeneous Optimization Framework: Reproducible Preprocessing of Multi-Spectral Clinical MRI for Neuro-Oncology Imaging Research.
Neuroinformatics
Mikhail Milchenko, Abraham Z. Snyder, Pamela LaMontagne, Joshua S. Shimony, Tammie L. S. Benzinger, Sarah Jost Fouke, Daniel S. Marcus
2016 J jnl
Northwestern University schizophrenia data sharing for SchizConnect: A longitudinal dataset for large-scale integration.
NeuroImage
Alexander Kogan, Kathryn I. Alpert, José Luis Ambite, Daniel S. Marcus, Lei Wang
2016 J jnl
The Northwestern University Neuroimaging Data Archive (NUNDA).
NeuroImage
Kathryn I. Alpert, Alexander Kogan, Todd B. Parrish, Daniel S. Marcus, Lei Wang
2016 J jnl
XNAT Central: Open sourcing imaging research data.
NeuroImage
Rick Herrick, William Horton, Timothy R. Olsen, Michael McKay, Kevin A. Archie, Daniel S. Marcus
2015 J jnl
Going beyond the current neuroinformatics infrastructure.
Frontiers Neuroinformatics
Xi Cheng, Daniel S. Marcus, John D. Van Horn, Qian Luo, Venkata S. Mattay, Daniel R. Weinberger
2015 J jnl
Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data.
NeuroImage
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, Kâmil Ugurbil, Stamatios N. Sotiropoulos, Rachel M. Brouwer, Bennett A. Landman, Hervé Lemaître, Anouk den Braber, Marcel P. Zwiers, Stuart J. Ritchie, Kimm van Hulzen, Laura Almasy, Joanne E. Curran, Greig I. de Zubicaray, Ravi Duggirala, Peter T. Fox
2015 J jnl
Partial volume correction in quantitative amyloid imaging.
NeuroImage
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 P. 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
2014 J jnl
Data dictionary services in XNAT and the Human Connectome Project.
Frontiers Neuroinformatics
Rick Herrick, Michael McKay, Timothy R. Olsen, William Horton, Mark Florida, Charlie Moore, Daniel S. Marcus
2013 J jnl
Human Connectome Project informatics: Quality control, database services, and data visualization.
NeuroImage
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
2013 J jnl
Northwestern University Schizophrenia Data and Software Tool (NUSDAST).
Frontiers Neuroinformatics
Lei Wang, Alexander Kogan, Derin J. Cobia, Kathryn I. Alpert, Anthony Kolasny, Michael I. Miller, Daniel S. Marcus
2013 J jnl
Obscuring Surface Anatomy in Volumetric Imaging Data.
Neuroinformatics
Mikhail Milchenko, Daniel S. Marcus
2013 — conf
Predicting a multi-parametric probability map of active tumor extent using random forests.
EMBC
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, Kilian Q. Weinberger, Daniel S. Marcus
2013 J jnl
PyXNAT: XNAT in Python
CoRR
Yannick Schwartz, Alexis Barbot, Benjamin Thyreau, Vincent Frouin, Gaël Varoquaux, Aditya Siram, Daniel S. Marcus, Jean-Baptiste Poline
2012 J jnl
Data sharing in neuroimaging research.
Frontiers Neuroinformatics
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
2012 J jnl
DicomBrowser: Software for Viewing and Modifying DICOM Metadata.
J. Digit. Imaging
Kevin A. Archie, Daniel S. Marcus
2012 J jnl
Imaging Infrastructure for Research. Part 2. Data Management Practices.
J. Digit. Imaging
Daniel S. Marcus, Bradley James Erickson, Tony Pan
2012 J jnl
PyXNAT: XNAT in Python.
Frontiers Neuroinformatics
Yannick Schwartz, Alexis Barbot, Benjamin Thyreau, Vincent Frouin, Gaël Varoquaux, Aditya Siram, Daniel S. Marcus, Jean-Baptiste Poline
2012 J jnl
The Human Connectome Project: A data acquisition perspective.
NeuroImage
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, 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
2012 J jnl
Whitepapers on Imaging Infrastructure for Research - Part 1: General Workflow Considerations.
J. Digit. Imaging
Bradley James Erickson, Tony Pan, Daniel S. Marcus
2012 J jnl
Whitepapers on Imaging Infrastructure for Research Part Three: Security and Privacy.
J. Digit. Imaging
Tony Pan, Bradley James Erickson, Daniel S. Marcus
2012 J jnl
XCEDE: An Extensible Schema for Biomedical Data.
Neuroinformatics
Syam Gadde, Nicole Aucoin, Jeffrey S. Grethe, David B. Keator, Daniel S. Marcus, Steve Pieper
2011 J jnl
Informatics and Data Mining Tools and Strategies for the Human Connectome Project.
Frontiers Neuroinformatics
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
2010 J jnl
Open Access Series of Imaging Studies: Longitudinal MRI Data in Nondemented and Demented Older Adults.
J. Cogn. Neurosci.
Daniel S. Marcus, Anthony F. Fotenos, John G. Csernansky, John C. Morris, Randy L. Buckner
2009 J jnl
Derived data storage and exchange workflow for large-scale neuroimaging analyses on the BIRN grid.
Frontiers Neuroinformatics
David B. Keator, Dingying Wei, Syam Gadde, Henry Jeremy Bockholt, Jeffrey S. Grethe, Daniel S. Marcus, Nicole Aucoin, Ibrahim Burak Özyurt
2008 J jnl
A National Human Neuroimaging Collaboratory Enabled by the Biomedical Informatics Research Network (BIRN).
IEEE Trans. Inf. Technol. Biomed.
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
2007 J jnl
Open Access Series of Imaging Studies (OASIS): Cross-sectional MRI Data in Young, Middle Aged, Nondemented, and Demented Older Adults.
J. Cogn. Neurosci.
Daniel S. Marcus, Tracy H. Wang, Jamie Parker, John G. Csernansky, John C. Morris, Randy L. Buckner
2007 J jnl
The extensible neuroimaging archive toolkit - An informatics platform for managing, exploring, and sharing neuroimaging data.
Neuroinformatics
Daniel S. Marcus, Timothy R. Olsen, Mohana Ramaratnam, Randy L. Buckner
2004 J jnl
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
Randy L. Buckner, Denise Head, Jamie Parker, Anthony F. Fotenos, Daniel S. Marcus, John C. Morris, Abraham Z. Snyder