1 citations · 1 across the 4 of their papers we have counts for
6 papers
The Tilt of the Velocity Ellipsoid in the Milky Way Disk with GALAH-Gaia Data
Zhenzhen He, Ruilan Yang, Hui Li +1
We investigate the metallicity dependence of the tilt of the velocity ellipsoid using more than 572,000 stars selected from GALAH and Gaia. We find that the tilt angles of disk sta…
Anatomy-Change-Aware Bidirectional Selective State-Space Memory for Clinically Deployed Thoracic Radiotherapy Auto-Contouring
Galib Ahmed, Istiak Ahmed, Aritra Islam Saswato +15
We developed DAMM-Net++, a 2.5D architecture for thoracic OAR and target volume segmentation that addresses three persistent challenges in radiotherapy auto-contouring: inter-slice…
BAT-RM: A Boundary-Aware Transformer with Region-Aware Multi-Directional Mamba for Clinically Deployed Cervical Cancer Radiotherapy Auto-Contouring
Istiak Ahmed, Kazi Shahriar Sanjid, Galib Ahmed +16
We present a clinically deployed end-to-end auto-contouring system for cervical cancer radiotherapy planning, anchored by the Boundary-Aware Transformer with Region-Aware Mamba (BA…
ConvMambaNet: A Hybrid CNN-Mamba State Space Architecture for Accurate and Real-Time EEG Seizure Detection
Md. Nishan Khan, Kazi Shahriar Sanjid, Md. Tanzim Hossain +3
Epilepsy is a chronic neurological disorder marked by recurrent seizures that can severely impact quality of life. Electroencephalography (EEG) remains the primary tool for monitor…
OncoVision: Integrating Mammography and Clinical Data through Attention-Driven Multimodal AI for Enhanced Breast Cancer Diagnosis
Istiak Ahmed, Galib Ahmed, K. Shahriar Sanjid +10
OncoVision is a privileged-information training framework that uses mammography images and clinical features during training and performs inference from mammographic images alone.…
Pioneering Precision in Lumbar Spine MRI Segmentation with Advanced Deep Learning and Data Enhancement
Istiak Ahmed, Md. Tanzim Hossain, Md. Zahirul Islam Nahid +4
This study presents an advanced approach to lumbar spine segmentation using deep learning techniques, focusing on addressing key challenges such as class imbalance and data preproc…