M. Mallar Chakravarty
Cognitive Neuroscience · 2006–2022
A researcher in the Science corpus: 10 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 100 citations into it
- Radiology, Nuclear Medicine and Imaging — 89 citations into it
- Statistics and Probability — 10 citations into it
- Evaluation & Benchmarks — 6 citations into it
Whom M. Mallar Chakravarty trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Brian B. Avants
- Peter J. Rousseeuw
- Timothy Edward John Behrens
- Rolf A. Heckemann
- Daniel Rueckert
- Paul Aljabar
- Brian Patenaude
- Torsten Rohlfing
- Stephen M. Smith
- Shigeo Abe
Who trusts M. Mallar Chakravarty overall
Papers from M. Mallar Chakravarty's perspective
Ordered by how strongly the researchers M. Mallar Chakravarty trusts endorse each paper. Same corpus, a different order for every researcher.
- Automatic anatomical brain MRI segmentation combining label propagation and decision fusion (NeuroImage)
- Fast robust automated brain extraction
- Evaluation of atlas selection strategies for atlas-based image segmentation with application to confocal microscopy images of bee brains (NeuroImage)
- An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest (NeuroImage)
- Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging (Nature Neuroscience)
- A fast diffeomorphic image registration algorithm (NeuroImage)
- Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration (NeuroImage)
- Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data (NeuroImage)
- Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain (Medical Image Anal.)
- A Probabilistic Atlas and Reference System for the Human Brain
Their papers
- Common genetic variants influence human subcortical brain structures (2015) — 868 citations
- The genetic architecture of the human cerebral cortex (2020) — 777 citations
- neuromaps: structural and functional interpretation of brain maps (2022) — 433 citations
- Brain charts for the human lifespan (2021) — 1,503 citations
- BIDS apps: Improving ease of use, accessibility, and reproducibility of neuroimaging data analysis methods (2016) — 311 citations
- Toward defining deep brain stimulation targets in MNI space: A subcortical atlas based on multimodal MRI, histology and structural connectivity (2016) — 598 citations
- Quantitative Comparison of 21 Protocols for Labeling Hippocampal Subfields and Parahippocampal Subregions in In Vivo MRI: Towards a Harmonized Segmentation Protocol (2015) — 343 citations
- The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data (2014) — 790 citations
- Performing Label-Fusion-Based Segmentation Using Multiple Automatically Generated Templates (2012) — 345 citations
- The creation of a brain atlas for image guided neurosurgery using serial histological data (2006) — 320 citations