3 papers
cs.CV2026
FETALFusion: Resolution-Aware State-Space Modeling for Multi-Domain Fetal Head Segmentation
Ammar Bhilwarawala, Mainak Bandyopadhyay
Head circumference (HC) measured from 2D ultrasound is a routine marker of fetal growth, and automating it needs segmentations whose boundaries hold up on individual scans, not onl…
cs.CV2026
Attention-ResUNet for Automated Fetal Head Segmentation
Ammar Bhilwarawala, Mainak Bandyopadhyay
Automated fetal head segmentation in ultrasound images is critical for accurate biometric measurements in prenatal care. While existing deep learning approaches have achieved a rea…
cs.CR2026
BRIDGE and TCH-Net: Heterogeneous Benchmark and Multi-Branch Baseline for Cross-Domain IoT Botnet Detection
Ammar Bhilwarawala, Likhamba Rongmei, Harsh Sharma +4
IoT botnet detection has advanced, yet most published systems are validated on a single dataset and rarely generalise across environments. Heterogeneous feature spaces make multi-d…