G. M. Atiqur Rahaman

20 papers B 1Misc 4Journal 7Unranked 8
YearRankTypeTitle / Venue / Authors
2025 Misc conf
A Lightweight CNN for Brain Tumor Classification in Resource-Constrained Settings.
DICTA
Tonmay Sen, G. M. Atiqur Rahaman, Sajib Saha
2025 Misc conf
RenalGraphNet: A Graph-Enhanced Hybrid CNNs for Kidney Structure Segmentation in CT Imaging.
DICTA
Sheikh Ridwan Raihan Kabir, G. M. Atiqur Rahaman, Sajib Saha
2025 Misc conf
Resvit-Ippm: a Hybrid Cnn-Transformer Architecture for Accurate and Explainable Diabetic Foot Ulcer Classification.
DICTA
Sadia Islam Sharmi, Sajib Saha, G. M. Atiqur Rahaman
2024 Misc conf
Retinal Image Registration with Haar-Optimized Local Binary Descriptors for Bifurcation Points.
DICTA
Sarder Tazul Islam, Sajib Saha, Sirui Li, G. M. Atiqur Rahaman, Kok Wai Wong, Shaun Frost
2022 — conf
Deep Learning based Aerial Image Segmentation for Computing Green Area Factor.
EUVIP
G. M. Atiqur Rahaman, Martin Längkvist, Amy Loutfi
2022 J jnl
SMIFD-1000: Social media image forgery detection database.
Digit. Investig.
Md. Mehedi Rahman Rana, Abul Hasnat, G. M. Atiqur Rahaman
2021 J jnl
An innovate approach for retinal blood vessel segmentation using mixture of supervised and unsupervised methods.
IET Image Process.
Md. Abu Sayed, Sajib Saha, G. M. Atiqur Rahaman, Tanmai K. Ghosh, Yogesan Kanagasingam
2021 J jnl
Retinal image registration using log-polar transform and robust description of bifurcation points.
Biomed. Signal Process. Control.
Sajib Saha, G. M. Atiqur Rahaman, Sarder Tazul Islam, Masuma Akter, Shaun Frost, Yogesan Kanagasingam
2020 J jnl
A Novel Approach to Using Spectral Imaging to Classify Dyes in Colored Fibers.
Sensors
G. M. Atiqur Rahaman, Jussi Parkkinen, Markku Hauta-Kasari
2019 B conf
A Semi-supervised Approach to Segment Retinal Blood Vessels in Color Fundus Photographs.
AIME
Md. Abu Sayed, Sajib Saha, G. M. Atiqur Rahaman, Tanmai K. Ghosh, Yogesan Kanagasingam
2019 — conf
An Efficient Binary Descriptor to Describe Retinal Bifurcation Point for Image Registration.
IbPRIA (1)
Sarder Tazul Islam, Sajib Saha, G. M. Atiqur Rahaman, Deep Dutta, Yogesan Kanagasingam
2019 — conf
Retinal Blood Vessel Segmentation: A Semi-supervised Approach.
IbPRIA (2)
Tanmai K. Ghosh, Sajib Saha, G. M. Atiqur Rahaman, Md. Abu Sayed, Yogesan Kanagasingam
2016 J jnl
Color transform analysis for microscale imagesegmentation to study halftone model parameters.
Open Comput. Sci.
G. M. Atiqur Rahaman, Md. Zahidul Islam
2015 — conf
Collection, Analysis and Representation of Memory Color Information.
CCIW
G. M. Atiqur Rahaman, Abul Hasnat, Rahul Mourya
2015 — conf
Experimental Analysis for Modeling Color of Halftone Images.
CCIW
G. M. Atiqur Rahaman, Ole Norberg, Per Edström
2014 — conf
Extension of Murray-Davies tone reproduction model by adding edge effect of halftone dots.
Measuring, Modeling, and Reproducing Material Appearance
G. M. Atiqur Rahaman, Ole Norberg, Per Edström
2014 — conf
Microscale halftone color image analysis: perspective of spectral color prediction modeling.
Color Imaging: Displaying, Processing, Hardcopy, and Applications
G. M. Atiqur Rahaman, Ole Norberg, Per Edström
2013 — conf
Retinal Spectral Image Analysis Methods Using Spectral Reflectance Pattern Recognition.
CCIW
G. M. Atiqur Rahaman, Jussi Parkkinen, Markku Hauta-Kasari, Ole Norberg
2010 J jnl
A Domain-Independent Data Cleaning Algorithm for Detecting Similar-Duplicates.
J. Comput.
Kazi Shah Nawaz Ripon, Ashiqur Rahman, G. M. Atiqur Rahaman
2009 J jnl
Automatic Defect Detection and Classification Technique from Image: A Special Case Using Ceramic Tiles
CoRR
G. M. Atiqur Rahaman, Md. Mobarak Hossain