Meenakshi Khosla

According to our database, Meenakshi Khosla authored at least 13 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2023

Soft Matching Distance: A metric on neural representations that captures single-neuron tuning.

Meenakshi Khosla, Alex H. Williams

CoRR, 2023

2022

Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.

Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

NeuroImage, 2022

NeuroGen: Activation optimized image synthesis for discovery neuroscience.

Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Ghislain St-Yves, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski

NeuroImage, 2022

Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

NeuroGen: activation optimized image synthesis for discovery neuroscience.

Zijin Gu, Keith Jamison, Meenakshi Khosla, Emily J. Allen, Yihan Wu, Thomas Naselaris, Kendrick N. Kay, Mert R. Sabuncu, Amy Kuceyeski

CoRR, 2021

2020

Neural encoding with visual attention.

Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity.

Gia H. Ngo, Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response.

Meenakshi Khosla, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

NeuroImage, 2019

Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Machine learning in resting-state fMRI analysis.

Meenakshi Khosla, Keith Jamison, Gia H. Ngo, Amy Kuceyeski, Mert R. Sabuncu

CoRR, 2018

Ensemble learning with 3D convolutional neural networks for connectome-based prediction.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

CoRR, 2018

3D Convolutional Neural Networks for Classification of Functional Connectomes.

Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018