most citedTFFM: Topology-Aware Feature Fusion Module via Latent Graph Reasoning for Retinal Vessel Segmentation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20261 cited

TFFM: Topology-Aware Feature Fusion Module via Latent Graph Reasoning for Retinal Vessel Segmentation

Iftekhar Ahmed, Shakib Absar, Aftar Ahmad Sami +3

Precise segmentation of retinal arteries and veins carries the diagnosis of systemic cardiovascular conditions. However, standard convolutional architectures often yield topologica…

cs.CV2025

Visual Bias and Interpretability in Deep Learning for Dermatological Image Analysis

Enam Ahmed Taufik, Abdullah Khondoker, Antara Firoz Parsa +1

Accurate skin disease classification is a critical yet challenging task due to high inter-class similarity, intra-class variability, and complex lesion textures. While deep learnin…

astro-ph.IM2025

A Multi-Scale Attention-Enhanced Architecture for Gravity Wave Localization in Satellite Imagery

Seraj Al Mahmud Mostafa, Jianwu Wang

Satellite images present unique challenges due to their high object variability and lower spatial resolution, particularly for detecting atmospheric gravity waves which exhibit sig…

cs.CV2025

Enhancing Satellite Object Localization with Dilated Convolutions and Attention-aided Spatial Pooling

Seraj Al Mahmud Mostafa, Chenxi Wang, Jia Yue +2

Object localization in satellite imagery is particularly challenging due to the high variability of objects, low spatial resolution, and interference from noise and dominant featur…

cs.NI2025

Does More Bandwidth Really Not Matter (Much)?

Seraj Al Mahmud Mostafa, Mike P. Wittie, Utkarsh Goel

The prevailing wisdom is that more network bandwidth does not matter much and that website performance is primarily limited by network latency. However, as mobile websites become m…