Research

Publications

Peer-reviewed papers in Deep Learning and Medical Imaging. Filters apply across both year and tag simultaneously.

Year
Tag

5 publications

SPIE Medical Imaging 20262026

Lesion Segmentation and CT Biomarkers for Tuberculosis Assessment and Follow-Up

Development of segmentation-based CT biomarkers for longitudinal tracking and assessment of tuberculosis, enabling quantitative disease follow-up.

CTSegmentationBiomarkersTuberculosis
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SPIE Medical Imaging 20262026

Multiscale Graph Attention Network for Topology-Aware Airway Segmentation in Lung CT

A graph-based architecture that captures structural topology in 3D volumetric lung data for accurate airway tree segmentation using multiscale attention mechanisms.

CTAirway SegmentationGraph Neural NetworkTopology
ISBI 20252025

Diff-Lung: Diffusion-Based Texture Synthesis for Lung CT Scans

A diffusion model for realistic synthesis of lung CT textures, enabling data augmentation for medical image analysis tasks with limited annotated data.

Diffusion ModelsCTGenerative AIData Augmentation
SPIE Medical Imaging 20252025

Shape Aware Cycle-GAN for Enhanced CT Lung Segmentation

A geometry-constrained Cycle-GAN framework that generates synthetic pathological lung tissues while preserving anatomical shape, improving segmentation robustness.

GANCycle-GANCTSegmentationData Augmentation
SPIE Medical Imaging 20242024

Vessel Based Lung Lobe Partitioning in UTE-MRI

A multi-modal approach using vascular topology for automatic lung lobe partitioning in ultra-short echo time MRI, bridging CT and MRI analysis.

MRIUTE-MRILung LobesVascular Segmentation