Coupling topic modelling in opinion mining for social media analysis. - Xujuan Zhou; Xiaohui Tao 001; Md Mostafijur Rahman; Ji Zhang 001 (WI, 2017)

Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model. - Md Mostafijur Rahman; Arpan Man Sainju; Da Yan 001; Zhe Jiang 001 (GeoAI@SIGSPATIAL, 2021)

Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation. - Md Mostafijur Rahman; Radu Marculescu (MIDL, 2023)

Medical Image Segmentation via Cascaded Attention Decoding. - Md Mostafijur Rahman; Radu Marculescu (WACV, 2023)

Transcriptomic analysis of esophageal cancer reveals hub genes and networks involved in cancer progression. - Dipankor Chatterjee; Md Mostafijur Rahman; Anik Kumar Saha; Mohammad Kawsar Sharif Siam; Mohammad Umer Sharif Shohan (Comput. Biol. Medicine, 2023)

GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs. - Mustafa Munir; William Avery; Md Mostafijur Rahman; Radu Marculescu (CVPR, 2024)

PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation. - Md Mostafijur Rahman; Mustafa Munir; Debesh Jha; Ulas Bagci; Radu Marculescu (CVPR Workshops, 2024)

EMCAD: Efficient Multi-Scale Convolutional Attention Decoding for Medical Image Segmentation. - Md Mostafijur Rahman; Mustafa Munir; Radu Marculescu (CVPR, 2024)

G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation. - Md Mostafijur Rahman; Radu Marculescu (WACV, 2024)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Koushik Biswas; Gorkem Durak; Matthew Antalek; Zheyuan Zhang; Bin Wang 068; Md Mostafijur Rahman; Hongyi Pan; Alpay Medetalibeyoglu; Yury Velichko; Daniela P. Ladner; et al. (CoRR, 2024)

PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation. - Md Mostafijur Rahman; Mustafa Munir; Debesh Jha; Ulas Bagci; Radu Marculescu (CoRR, 2024)

From Data to Design: Leveraging Frequency Statistics for Efficient Neural Network Architectures. - Mustafa Munir; Guihong Li; Md Mostafijur Rahman; Alex Zhang; Radu Marculescu (CVPR Workshops, 2025)

EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation. - Md Mostafijur Rahman; Radu Marculescu (CVPR, 2025)

MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. - Debesh Jha; Nikhil Kumar Tomar; Koushik Biswas; Gorkem Durak; Matthew Antalek; Zheyuan Zhang; Bin Wang 068; Md Mostafijur Rahman; Hongyi Pan; Alpay Medetalibeyoglu; Vandan Gorade; Abhijit Das; et al. (ICASSP, 2025)

RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone. - Mustafa Munir; Md Mostafijur Rahman; Radu Marculescu (WACV, 2025)

Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis. - Fahad Mostafa; Md Rejuan Haque; Md Mostafijur Rahman; Farzana Nasrin (CoRR, 2025)