default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDDaniel S. Marcus
Person information
- affiliation: Washington University School of Medicine, St. Louis, MO, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2023
[j33]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)- 2022
- [j32]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: 119511 (2022) - 2021
- [j31]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): 239-249 (2021) - [j30]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: 597708 (2021) - 2017
- [j29]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: 287-293 (2017) - [j28]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: 399-409 (2017) - 2016
- [j27]Rick Herrick, William Horton, Timothy R. Olsen, Michael McKay, Kevin A. Archie, Daniel S. Marcus:
XNAT Central: Open sourcing imaging research data. NeuroImage 124: 1093-1096 (2016) - [j26]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:
ConnectomeDB - Sharing human brain connectivity data. NeuroImage 124: 1102-1107 (2016) - [j25]Kathryn I. Alpert, Alexander Kogan, Todd B. Parrish, Daniel S. Marcus, Lei Wang:
The Northwestern University Neuroimaging Data Archive (NUNDA). NeuroImage 124: 1131-1136 (2016) - [j24]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: 1196-1201 (2016) - [j23]Mikhail Milchenko, Abraham Z. Snyder, Pamela LaMontagne, Joshua S. Shimony, Tammie L. S. 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): 305-317 (2016) - 2015
- [j22]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: 15 (2015) - [j21]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:
Partial volume correction in quantitative amyloid imaging. NeuroImage 107: 55-64 (2015) - [j20]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:
Heritability of fractional anisotropy in human white matter: A comparison of Human Connectome Project and ENIGMA-DTI data. NeuroImage 111: 300-311 (2015) - 2014
- [j19]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: 65 (2014) - 2013
- [j18]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: 25 (2013) - [j17]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: 202-219 (2013) - [j16]Mikhail Milchenko, Daniel S. Marcus:
Obscuring Surface Anatomy in Volumetric Imaging Data. Neuroinformatics 11(1): 65-75 (2013) - 2012
- [j15]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: 9 (2012) - [j14]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: 12 (2012) - [j13]Bradley James Erickson, Tony Pan, Daniel S. Marcus:
Whitepapers on Imaging Infrastructure for Research - Part 1: General Workflow Considerations. J. Digit. Imaging 25(4): 449-453 (2012) - [j12]Daniel S. Marcus, Bradley James Erickson, Tony Pan:
Imaging Infrastructure for Research. Part 2. Data Management Practices. J. Digit. Imaging 25(5): 566-569 (2012) - [j11]Kevin A. Archie, Daniel S. Marcus:
DicomBrowser: Software for Viewing and Modifying DICOM Metadata. J. Digit. Imaging 25(5): 635-645 (2012) - [j10]Tony Pan, Bradley James Erickson, Daniel S. Marcus:
Whitepapers on Imaging Infrastructure for Research Part Three: Security and Privacy. J. Digit. Imaging 25(6): 692-702 (2012) - [j9]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:
The Human Connectome Project: A data acquisition perspective. NeuroImage 62(4): 2222-2231 (2012) - [j8]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): 19-32 (2012) - 2011
- [j7]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: 4 (2011) - 2010
- [j6]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): 2677-2684 (2010) - 2009
- [j5]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: 30 (2009) - 2008
- [j4]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): 162-172 (2008) - 2007
- [j3]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): 1498-1507 (2007) - [j2]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): 11-33 (2007) - 2004
- [j1]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): 724-738 (2004)
Conference and Workshop Papers
- 2023
- [c6]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 - [c5]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 - [c4]Jin Yang, Daniel S. Marcus, Aristeidis Sotiras:
Abdominal CT pancreas segmentation using multi-scale convolution with aggregated transformations. Medical Imaging: Computer-Aided Diagnosis 2023 - 2021
- [c3]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 - 2020
- [c2]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 - 2013
- [c1]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:
Predicting a multi-parametric probability map of active tumor extent using random forests. EMBC 2013: 6478-6481
Informal and Other Publications
- 2024
- [i15]Jin Yang, Daniel S. Marcus, Aristeidis Sotiras:
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation. CoRR abs/2403.07303 (2024) - [i14]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 abs/2403.10674 (2024) - 2023
- [i13]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 abs/2301.10772 (2023) - [i12]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:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Local Synthesis of Healthy Brain Tissue via Inpainting. CoRR abs/2305.08992 (2023) - [i11]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:
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn). CoRR abs/2305.09011 (2023) - 2022
- [i10]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 abs/2210.03151 (2022) - [i9]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 abs/2210.03779 (2022) - 2021
- [i8]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 abs/2105.05874 (2021) - [i7]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:
The RSNA-ASNR-MICCAI BraTS 2021 Benchmark on Brain Tumor Segmentation and Radiogenomic Classification. CoRR abs/2107.02314 (2021) - [i6]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 abs/2109.03723 (2021) - [i5]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 abs/2111.01093 (2021) - [i4]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:
The Brain Tumor Sequence Registration Challenge: Establishing Correspondence between Pre-Operative and Follow-up MRI scans of diffuse glioma patients. CoRR abs/2112.06979 (2021) - [i3]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:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2018
- [i2]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 abs/1811.02629 (2018) - 2013
- [i1]Yannick Schwartz, Alexis Barbot, Benjamin Thyreau, Vincent Frouin, Gaël Varoquaux, Aditya Siram, Daniel S. Marcus, Jean-Baptiste Poline:
PyXNAT: XNAT in Python. CoRR abs/1301.6952 (2013)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
