Meenakshi Khosla

According to our database1, Meenakshi Khosla authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Evaluating Representational Similarity Measures from the Lens of Functional Correspondence.
CoRR, 2024

Modeling the Human Visual System: Comparative Insights from Response-Optimized and Task-Optimized Vision Models, Language Models, and different Readout Mechanisms.
CoRR, 2024

2023
Soft Matching Distance: A metric on neural representations that captures single-neuron tuning.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

2022
Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.
NeuroImage, 2022

NeuroGen: Activation optimized image synthesis for discovery neuroscience.
NeuroImage, 2022

Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models.
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.
CoRR, 2021

2020
Neural encoding with visual attention.
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.
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.
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.
NeuroImage, 2019

Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018
Machine learning in resting-state fMRI analysis.
CoRR, 2018

Ensemble learning with 3D convolutional neural networks for connectome-based prediction.
CoRR, 2018

3D Convolutional Neural Networks for Classification of Functional Connectomes.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018


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