Multi-classification of Brain Tumor Images Based on Hybrid Feature Extraction Method. - Khaleda Akhter Sathi; Md. Saiful Islam (ICO, 2020)

Hybrid Pooling Based Convolutional Neural Network for Multi-class Classification of MR Brain Tumor Images. - Gazi Jannatul Ferdous; Khaleda Akhter Sathi; Md. Azad Hossain (ICO, 2021)

A Deep Neural Network Model for Predicting Electric Fields Induced by Transcranial Magnetic Stimulation Coil. - Khaleda Akhter Sathi; Md. Azad Hossain; Md. Kamal Hosain; Nguyen Hoang Hai; M. Anwar Hossain 003 (IEEE Access, 2021)

Multi-Classification of Brain Tumor Images Using Transfer Learning Based Deep Neural Network. - Pramit Dutta; Khaleda Akhter Sathi; Md. Saiful Islam (CoRR, 2022)

LCDEiT: A Linear Complexity Data-Efficient Image Transformer for MRI Brain Tumor Classification. - Gazi Jannatul Ferdous; Khaleda Akhter Sathi; Md. Azad Hossain; Mohammed Moshiul Hoque; M. Ali Akber Dewan (IEEE Access, 2023)

Conv-ViT: A Convolution and Vision Transformer-Based Hybrid Feature Extraction Method for Retinal Disease Detection. - Pramit Dutta; Khaleda Akhter Sathi; Md. Azad Hossain; M. Ali Akber Dewan (J. Imaging, 2023)

A Temporal Transformer-Based Fusion Framework for Morphological Arrhythmia Classification. - Nafisa Anjum; Khaleda Akhter Sathi; Md. Azad Hossain; M. Ali Akber Dewan (Comput., 2023)

SPT-Swin: A Shifted Patch Tokenization Swin Transformer for Image Classification. - Gazi Jannatul Ferdous; Khaleda Akhter Sathi; Md. Azad Hossain; M. Ali Akber Dewan (IEEE Access, 2024)

BVQA: Connecting Language and Vision Through Multimodal Attention for Open-Ended Question Answering. - Md. Shalha Mucha Bhuyan; Eftekhar Hossain; Khaleda Akhter Sathi; Md. Azad Hossain; M. Ali Akber Dewan (IEEE Access, 2025)