| Machine learning in resting-state fMRI analysis M Khosla, K Jamison, GH Ngo, A Kuceyeski, MR Sabuncu Magnetic resonance imaging 64, 101-121, 2019 | 120 | 2019 |
| 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 | 74 | 2018 |
| 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 | 70 | 2019 |
| 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 | 25 | 2019 |
| 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 | 22 | 2021 |
| 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 | 17 | 2018 |
| Polarons explain luminescence behavior of colloidal quantum dots at low temperature M Khosla, S Rao, S Gupta Scientific Reports 8 (1), 8385, 2018 | 10 | 2018 |
| 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 | 8 | 2022 |
| 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 | 8 | 2022 |
| 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 | 7 | 2022 |
| 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 | 7 | 2022 |
| 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 | 4 | 2020 |
| 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 | 4 | 2019 |
| 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 | 2 | 2020 |
| Using artificial neural networks to ask ‘why’questions of minds and brains N Kanwisher, M Khosla, K Dobs Trends in Neurosciences, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
| 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 | 1 | 2020 |
| 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 |
Mert R. SabuncuProfessor, Cornell University, Cornell Tech, Weill CornellVerified email at cornell.edu
