activity
20182025
most citedDoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images

34 citations · 52 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2025

Enhanced Graph Convolutional Network with Chebyshev Spectral Graph and Graph Attention for Autism Spectrum Disorder Classification

Adnan Ferdous Ashrafi, Hasanul Kabir

ASD is a complicated neurodevelopmental disorder marked by variation in symptom presentation and neurological underpinnings, making early and objective diagnosis extremely problema…

eess.IV2024★ 1 cited

A novel approach towards the classification of Bone Fracture from Musculoskeletal Radiography images using Attention Based Transfer Learning

Sayeda Sanzida Ferdous Ruhi, Fokrun Nahar, Adnan Ferdous Ashrafi

Computer-aided diagnosis (CAD) is today considered a vital tool in the field of biological image categorization, segmentation, and other related tasks. The current breakthrough in…

q-bio.QM2022★ 1 cited

Genetic Sequence compression using Machine Learning and Arithmetic Encoding Decoding Techniques

Mehedi Hasan Sarkar, Adnan Ferdous Ashrafi

We live in a period where bio-informatics is rapidly expanding, a significant quantity of genomic data has been produced as a result of the advancement of high-throughput genome se…

eess.IV2022★ 34 cited

DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images

Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed +3

Accurate segmentation of the region of interest in medical images can provide an essential pathway for devising effective treatment plans for life-threatening diseases. It is still…

cs.CV2022★ 14 cited

MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification

Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed +1

Numerous diseases cause severe economic loss in the apple production-based industry. Early disease identification in apple leaves can help to stop the spread of infections and prov…

q-bio.GN2018★ 2 cited

Prediction of a Gene Regulatory Network from Gene Expression Profiles With Linear Regression and Pearson Correlation Coefficient

Md Mehedi Hassan Onik, Shakhawat Ahmmed Nobin, Adnan Ferdous Ashrafi +1

Reconstruction of gene regulatory networks is the process of identifying gene dependency from gene expression profile through some computation techniques. In our human body, though…