Predicting Intention Through Eye Gaze Patterns. - Fatemeh Koochaki; Laleh Najafizadeh (BioCAS, 2018)

Eye Gaze-based Early Intent Prediction Utilizing CNN-LSTM. - Fatemeh Koochaki; Laleh Najafizadeh (EMBC, 2019)

Detecting mTBI by Learning Spatio-temporal Characteristics of Widefield Calcium Imaging Data Using Deep Learning. - Fatemeh Koochaki; Foroogh Shamsi; Laleh Najafizadeh (EMBC, 2020)

A Convolutional Autoencoder for Identification of mild Traumatic Brain Injury. - Fatemeh Koochaki; Laleh Najafizadeh (NER, 2021)

Learn-able Evolution Convolutional Siamese Neural Network for Adaptive Driving Style Preference Prediction. - Fatemeh Koochaki; Zhaobo K. Zheng; Kumar Akash; Teruhisa Misu (IV, 2023)

Identifying Mild Traumatic Brain Injury via Vision Transformer and Bag of Visual Features. - Fatemeh Koochaki; Laleh Najafizadeh (NER, 2023)

MiniGPT-Reverse-Designing: Predicting Image Adjustments Utilizing MiniGPT-4. - Vahid Azizi; Fatemeh Koochaki (CoRR, 2024)

LlamaRec-LKG-RAG: A Single-Pass, Learnable Knowledge Graph-RAG Framework for LLM-Based Ranking. - Vahid Azizi; Fatemeh Koochaki (CoRR, 2025)