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Meenakshi Khosla
Meenakshi Khosla
Massachusetts Institute of Technology
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Machine learning in resting-state fMRI analysis
M Khosla, K Jamison, GH Ngo, A Kuceyeski, MR Sabuncu
Magnetic resonance imaging 64, 101-121, 2019
1202019
3D convolutional neural networks for classification of functional connectomes
M Khosla, K Jamison, A Kuceyeski, MR Sabuncu
Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2018
742018
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction
M Khosla, K Jamison, A Kuceyeski, MR Sabuncu
NeuroImage 199, 651-662, 2019
702019
A switch and wave of neuronal activity in the cerebral cortex during the first second of conscious perception
WX Herman, RE Smith, SI Kronemer, RE Watsky, WC Chen, LM Gober, ...
Cerebral Cortex 29 (2), 461-474, 2019
252019
Cortical response to naturalistic stimuli is largely predictable with deep neural networks
M Khosla, GH Ngo, K Jamison, A Kuceyeski, MR Sabuncu
Science Advances 7 (22), eabe7547, 2021
222021
Revalidation of the Sat-Chit-Ananda Scale
K Singh, P Khanna, M Khosla, M Rapelly, A Soni
Journal of religion and health 57, 1392-1401, 2018
172018
Polarons explain luminescence behavior of colloidal quantum dots at low temperature
M Khosla, S Rao, S Gupta
Scientific Reports 8 (1), 8385, 2018
102018
A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decomposition
M Khosla, NAR Murty, N Kanwisher
Current Biology 32 (19), 4159-4171. e9, 2022
82022
Predicting individual task contrasts from resting‐state functional connectivity using a surface‐based convolutional network
GH Ngo, M Khosla, K Jamison, A Kuceyeski, MR Sabuncu
NeuroImage 248, 118849, 2022
82022
NeuroGen: activation optimized image synthesis for discovery neuroscience
Z Gu, KW Jamison, M Khosla, EJ Allen, Y Wu, G St-Yves, T Naselaris, ...
NeuroImage 247, 118812, 2022
72022
High-level visual areas act like domain-general filters with strong selectivity and functional specialization
M Khosla, L Wehbe
bioRxiv, 2022.03. 16.484578, 2022
72022
From connectomic to task-evoked fingerprints: Individualized prediction of task contrasts from resting-state functional connectivity
GH Ngo, M Khosla, K Jamison, A Kuceyeski, MR Sabuncu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
42020
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach
M Khosla, K Jamison, A Kuceyeski, MR Sabuncu
Machine Learning in Medical Imaging: 10th International Workshop, MLMI 2019 …, 2019
42019
Neural encoding with visual attention
M Khosla, G Ngo, K Jamison, A Kuceyeski, M Sabuncu
Advances in Neural Information Processing Systems 33, 15942-15953, 2020
22020
Using artificial neural networks to ask ‘why’questions of minds and brains
N Kanwisher, M Khosla, K Dobs
Trends in Neurosciences, 2023
12023
Data-driven component modeling reveals the functional organization of high-level visual cortex
M Khosla, NAR Murty, N Kanwisher
Journal of Vision 22 (14), 4184-4184, 2022
12022
Optimization of ground-state cooling of a mechanical mode using a three-level system
NK Vij, M Khosla, S Gupta
arXiv e-prints, arXiv: 2104.14533, 2021
12021
A shared neural encoding model for the prediction of subject-specific fMRI response
M Khosla, GH Ngo, K Jamison, A Kuceyeski, MR Sabuncu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020
12020
Computational Models Recapitulate Key Signatures of Face, Body and Scene Processing in the FFA, EBA, and PPA
E Mieczkowski, M Khosla, J DiCarlo, N Kanwisher, NAR Murty
Journal of Vision 22 (14), 4337-4337, 2022
2022
Mutli-variable Optimization of Cooling of Mechanical Mode assisted by Three-level System
NK Vij, M Khosla, S Gupta
Frontiers in Optics, JTu1A. 12, 2021
2021
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