Fatemeh Koochaki

According to our database, Fatemeh Koochaki authored at least 7 papers between 2018 and 2024.

Collaborative distances:

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

2024

MiniGPT-Reverse-Designing: Predicting Image Adjustments Utilizing MiniGPT-4.

Vahid Azizi, Fatemeh Koochaki

CoRR, 2024

2023

Identifying Mild Traumatic Brain Injury via Vision Transformer and Bag of Visual Features.

Fatemeh Koochaki, Laleh Najafizadeh

Proceedings of the 11th International IEEE/EMBS Conference on Neural Engineering, 2023

Learn-able Evolution Convolutional Siamese Neural Network for Adaptive Driving Style Preference Prediction.

Fatemeh Koochaki, Zhaobo K. Zheng, Kumar Akash, Teruhisa Misu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2021

A Convolutional Autoencoder for Identification of mild Traumatic Brain Injury.

Fatemeh Koochaki, Laleh Najafizadeh

Proceedings of the 10th International IEEE/EMBS Conference on Neural Engineering, 2021

2020

Detecting mTBI by Learning Spatio-temporal Characteristics of Widefield Calcium Imaging Data Using Deep Learning.

Fatemeh Koochaki, Foroogh Shamsi, Laleh Najafizadeh

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

Eye Gaze-based Early Intent Prediction Utilizing CNN-LSTM.

Fatemeh Koochaki, Laleh Najafizadeh

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Predicting Intention Through Eye Gaze Patterns.

Fatemeh Koochaki, Laleh Najafizadeh

Proceedings of the 2018 IEEE Biomedical Circuits and Systems Conference, 2018