An Optimized Abstractive Text Summarization Model Using Peephole Convolutional LSTM. - Md Motiur Rahman 001; Fazlul Hasan Siddiqui (Symmetry, 2019)

A deep learning approach based on convolutional LSTM for detecting diabetes. - Motiur Rahman 001; Dilshad Islam; Rokeya Jahan Mukti; Indrajit Saha (Comput. Biol. Chem., 2020)

Attentional Convolutional Neural Network for Automating Pathological Lung Auscultations Using Respiratory Sounds. - Md Motiur Rahman 001; Shiva Shokouhmand; Miad Faezipour; Smriti Bhatt (CSCI, 2022)

AHP-CM: Attentional Homogeneous-Padded Composite Model for Respiratory Anomalies Prediction. - Md Motiur Rahman 001; Miad Faezipour; Smriti Bhatt; Sudip Vhaduri (ICHI, 2023)

Adventitious Pulmonary Sound Detection: Leveraging SHAP Explanations and Gradient Boosting Insights. - Shiva Shokouhmand; Md Motiur Rahman 001; Miad Faezipour; Smriti Bhatt (EMBC, 2024)

MIST: Medical Image Segmentation Transformer with Convolutional Attention Mixing (CAM) Decoder. - Md Motiur Rahman 001; Shiva Shokouhmand; Smriti Bhatt; Miad Faezipour (WACV, 2024)

Enhancing Burn Severity Assessment With Deep Learning: A Comparative Analysis and Computational Efficiency Evaluation. - Saeka Rahman; Md Motiur Rahman 001; Miad Faezipour; Mo Rastgaar; Elika Ridelman; Justin D. Klein; Beth A. Angst; Christina M. Shanti (IEEE Access, 2024)

A Comprehensive Review of Machine Learning Approaches for Anomaly Detection in Smart Homes: Experimental Analysis and Future Directions. - Md Motiur Rahman 001; Deepti Gupta; Smriti Bhatt; Shiva Shokouhmand; Miad Faezipour (Future Internet, 2024)