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Danial Lashkari
Researcher at Massachusetts Institute of Technology
Publications - 37
Citations - 11029
Danial Lashkari is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Generative model & Image segmentation. The author has an hindex of 15, co-authored 35 publications receiving 8859 citations. Previous affiliations of Danial Lashkari include Boston College.
Papers
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Journal ArticleDOI
The organization of the human cerebral cortex estimated by intrinsic functional connectivity
B.T. Thomas Yeo,Fenna M. Krienen,Jorge Sepulcre,Jorge Sepulcre,Mert R. Sabuncu,Mert R. Sabuncu,Danial Lashkari,Marisa O. Hollinshead,Marisa O. Hollinshead,Joshua L. Roffman,Jordan W. Smoller,Lilla Zöllei,Jonathan R. Polimeni,Bruce Fischl,Bruce Fischl,Hesheng Liu,Randy L. Buckner +16 more
TL;DR: In this paper, the organization of networks in the human cerebrum was explored using resting-state functional connectivity MRI data from 1,000 subjects and a clustering approach was employed to identify and replicate networks of functionally coupled regions across the cerebral cortex.
Journal ArticleDOI
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
Bjoern H. Menze,Andras Jakab,Stefan Bauer,Jayashree Kalpathy-Cramer,Keyvan Farahani,Justin Kirby,Yuliya Burren,N Porz,Johannes Slotboom,Roland Wiest,Levente Lanczi,Elizabeth R. Gerstner,Marc-André Weber,Tal Arbel,Brian B. Avants,Nicholas Ayache,Patricia Buendia,D. Louis Collins,Nicolas Cordier,Jason J. Corso,Antonio Criminisi,Tilak Das,Hervé Delingette,Çağatay Demiralp,Christopher R. Durst,Michel Dojat,Senan Doyle,Joana Festa,Florence Forbes,Ezequiel Geremia,Ben Glocker,Polina Golland,Xiaotao Guo,Andac Hamamci,Khan M. Iftekharuddin,Raj Jena,Nigel M. John,Ender Konukoglu,Danial Lashkari,José Mariz,Raphael Meier,Sérgio Pereira,Doina Precup,Stephen J. Price,Tammy Riklin Raviv,Syed M. S. Reza,Michael Ryan,Duygu Sarikaya,Lawrence H. Schwartz,Hoo-Chang Shin,Jamie Shotton,Carlos A. Silva,Nuno Sousa,Nagesh K. Subbanna,Gábor Székely,Thomas J. Taylor,Owen M. Thomas,Nicholas J. Tustison,Gozde Unal,Flor Vasseur,Max Wintermark,Dong Hye Ye,Liang Zhao,Binsheng Zhao,Darko Zikic,Marcel Prastawa,Mauricio Reyes,Koen Van Leemput +67 more
TL;DR: The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) as mentioned in this paper was organized in conjunction with the MICCAI 2012 and 2013 conferences, and twenty state-of-the-art tumor segmentation algorithms were applied to a set of 65 multi-contrast MR scans of low and high grade glioma patients.
Book ChapterDOI
A generative model for brain tumor segmentation in multi- modal images
Bjoern H. Menze,Koen Van Leemput,Danial Lashkari,Marc-André Weber,Nicholas Ayache,Polina Golland +5 more
TL;DR: A generative probabilistic model for segmentation of tumors in multi-dimensional images allows for different tumor boundaries in each channel, reflecting difference in tumor appearance across modalities.
Posted Content
Structural Change with Long-Run Income and Price Effects
TL;DR: In this paper, the authors present a new multi-sector growth model that accommodates long-run demand and supply drivers of structural change, which is consistent with the decline in agriculture, the hump-shaped evolution of manufacturing and the rise of services over time.
Proceedings Article
Convex Clustering with Exemplar-Based Models
Danial Lashkari,Polina Golland +1 more
TL;DR: This paper introduces an exemplar-based likelihood function that approximates the exact likelihood of a mixture model clustering and presents experimental results illustrating the performance of the algorithm and its comparison with the conventional approach to mixturemodel clustering.