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ORCIDMd Mostafijur Rahman
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2020 – today
- 2026
[j2]Riad Hassan
, M. Rubaiyat Hossain Mondal, Sheikh Iqbal Ahamed, Fahad Mostafa, Md Mostafijur Rahman:
An efficient dual-line decoder network with multi-scale convolutional attention for multi-organ segmentation. Biomed. Signal Process. Control. 112: 108611 (2026)- 2025
- [c13]Mustafa Munir, Guihong Li, Md Mostafijur Rahman, Alex Zhang, Radu Marculescu:
From Data to Design: Leveraging Frequency Statistics for Efficient Neural Network Architectures. CVPR Workshops 2025: 3208-3218 - [c12]Md Mostafijur Rahman, Radu Marculescu:
EffiDec3D: An Optimized Decoder for High-Performance and Efficient 3D Medical Image Segmentation. CVPR 2025: 10435-10444 - [c11]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Vandan Gorade, Abhijit Das, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. ICASSP 2025: 1-5 - [c10]Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu:
EfficientMedNeXt: Multi-receptive Dilated Convolutions for Medical Image Segmentation. MICCAI (4) 2025: 196-206 - [c9]Mustafa Munir, Md Mostafijur Rahman, Radu Marculescu:
RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone. WACV 2025: 8302-8312 - [i13]Fahad Mostafa, Md Rejuan Haque, Md Mostafijur Rahman, Farzana Nasrin:
Bayesian Inference for Left-Truncated Log-Logistic Distributions for Time-to-event Data Analysis. CoRR abs/2506.17852 (2025) - [i12]Riad Hassan, M. Rubaiyat Hossain Mondal, Sheikh Iqbal Ahamed, Fahad Mostafa, Md Mostafijur Rahman:
An Efficient Dual-Line Decoder Network with Multi-Scale Convolutional Attention for Multi-organ Segmentation. CoRR abs/2508.17007 (2025) - [i11]Md Mostafijur Rahman, Radu Marculescu:
MK-UNet: Multi-kernel Lightweight CNN for Medical Image Segmentation. CoRR abs/2509.18493 (2025) - [i10]Md Mostafijur Rahman, Radu Marculescu:
LoMix: Learnable Weighted Multi-Scale Logits Mixing for Medical Image Segmentation. CoRR abs/2510.22995 (2025) - [i9]Mustafa Munir, Md Mostafijur Rahman, Radu Marculescu:
AdaptViG: Adaptive Vision GNN with Exponential Decay Gating. CoRR abs/2511.09942 (2025) - [i8]Mustafa Munir, Md Mostafijur Rahman, Kartikeya Bhardwaj, Paul N. Whatmough, Radu Marculescu:
PipeFlow: Pipelined Processing and Motion-Aware Frame Selection for Long-Form Video Editing. CoRR abs/2512.24026 (2025) - 2024
- [c8]Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu:
PP-SAM: Perturbed Prompts for Robust Adaption of Segment Anything Model for Polyp Segmentation. CVPR Workshops 2024: 4989-4995 - [c7]Mustafa Munir, William Avery, Md Mostafijur Rahman, Radu Marculescu:
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs. CVPR 2024: 6118-6127 - [c6]Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu:
EMCAD: Efficient Multi-Scale Convolutional Attention Decoding for Medical Image Segmentation. CVPR 2024: 11769-11779 - [c5]Md Mostafijur Rahman, Radu Marculescu:
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation. WACV 2024: 7713-7722 - [i7]Debesh Jha, Nikhil Kumar Tomar, Koushik Biswas, Gorkem Durak, Matthew Antalek, Zheyuan Zhang, Bin Wang, Md Mostafijur Rahman, Hongyi Pan, Alpay Medetalibeyoglu, Yury Velichko, Daniela P. Ladner, Amir Borhani, Ulas Bagci:
MDNet: Multi-Decoder Network for Abdominal CT Organs Segmentation. CoRR abs/2405.06166 (2024) - [i6]Mustafa Munir, William Avery, Md Mostafijur Rahman, Radu Marculescu:
GreedyViG: Dynamic Axial Graph Construction for Efficient Vision GNNs. CoRR abs/2405.06849 (2024) - [i5]Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu:
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation. CoRR abs/2405.06880 (2024) - [i4]Md Mostafijur Rahman, Mustafa Munir, Debesh Jha, Ulas Bagci, Radu Marculescu:
PP-SAM: Perturbed Prompts for Robust Adaptation of Segment Anything Model for Polyp Segmentation. CoRR abs/2405.16740 (2024) - [i3]Mustafa Munir, Md Mostafijur Rahman, Radu Marculescu:
RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone. CoRR abs/2412.10995 (2024) - 2023
- [j1]Dipankor Chatterjee, Md Mostafijur Rahman, Anik Kumar Saha, Mohammad Kawsar Sharif Siam, Mohammad Umer Sharif Shohan:
Transcriptomic analysis of esophageal cancer reveals hub genes and networks involved in cancer progression. Comput. Biol. Medicine 159: 106944 (2023) - [c4]Md Mostafijur Rahman, Radu Marculescu:
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation. MIDL 2023: 1526-1544 - [c3]Md Mostafijur Rahman, Radu Marculescu:
Medical Image Segmentation via Cascaded Attention Decoding. WACV 2023: 6211-6220 - [i2]Md Mostafijur Rahman, Radu Marculescu:
Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation. CoRR abs/2303.16892 (2023) - [i1]Md Mostafijur Rahman, Radu Marculescu:
G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation. CoRR abs/2310.16175 (2023) - 2021
- [c2]Md Mostafijur Rahman, Arpan Man Sainju, Da Yan, Zhe Jiang:
Mapping Road Safety Barriers Across Street View Image Sequences: A Hybrid Object Detection and Recurrent Model. GeoAI@SIGSPATIAL 2021: 47-50
2010 – 2019
- 2017
- [c1]Xujuan Zhou, Xiaohui Tao, Md Mostafijur Rahman, Ji Zhang:
Coupling topic modelling in opinion mining for social media analysis. WI 2017: 533-540
Coauthor Index
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last updated on 2026-02-03 23:44 CET by the dblp team
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