5 citations · 15 across the 22 of their papers we have counts for
10 papers · 1 filter
CogRad: A Cognitively-Inspired Multi-Agent Framework for Radiology Report Generation
Saif Ur Rehman Khan, Hasaan Maqsood, Sebastian Vollmer +2
Automated radiology report generation (RRG) can ease radiologist workload, yet most existing systems produce a report in a single forward pass, with no mechanism to check a claim a…
GTA-Net: Cooperative Game Theory for Vision-Language Alignment in Chest X-Ray Report Generation
Saif ur Rehman Khan, Imad Ahmed Waqar, Sebastian Vollmer +2
Automated chest X-ray report generation requires precise cross-modal grounding to ensure clinically reliable descriptions. However, existing vision-language models rely on implicit…
GC-MoE: Genomics-Guided Cell-Type-Specific Mixture of Experts for Histology-Based Single-Cell Spatial Transcriptomics
Kaito Shiku, Ahtisham Fazeel Abbasi, Ryoma Bise +4
Histology-based single-cell spatial transcriptomics (ST) estimation aims to predict gene expression for individual cells from histopathological images and cell locations, reducing…
SolarFCD: A Large-Scale Dataset and Benchmark for Solar Fault Classification in Photovoltaic Systems
Misbah Ijaz, Saif Ur Rehman Khan, Abd Ur Rehman +4
The increasing global deployment of solar photovoltaic (PV) systems needs robust, scalable, and automated inspection technologies capable of detecting a wide range of panel flaws u…
EyeBrain: Left and Right Brain Lateralization Activity Classification Through Pupil Diameter and Fixation Duration
Ko Watanabe, Pooja Pol, Nicolas Großmann +2
The relationship between brain lateralization and cognitive functions is well-documented. The left hemisphere primarily handles tasks such as language and arithmetic, while the rig…
MS-SSE-Net: A Multi-Scale Spatial Squeeze-and-Excitation Network for Structural Damage Detection in Civil and Geotechnical Engineering
Saif ur Rehman Khan, Imad Ahmed Waqar, Arooj Zaib +4
Structural damage detection is essential for maintaining the safety and reliability of civil infrastructure. However, accurately identifying different types of structural damage fr…
A Large-Scale Comparative Analysis of Imputation Methods for Single-Cell RNA Sequencing Data
Yuichiro Iwashita, Ahtisham Fazeel Abbasi, Koichi Kise +2
Background: Single-cell RNA sequencing (scRNA-seq) enables gene expression profiling at cellular resolution but is inherently affected by sparsity caused by dropout events, where e…
Automated Diabetic Screening via Anterior Segment Ocular Imaging: A Deep Learning and Explainable AI Approach
Hasaan Maqsood, Saif Ur Rehman Khan, Sebastian Vollmer +2
Diabetic retinopathy screening traditionally relies on fundus photography, requiring specialized equipment and expertise often unavailable in primary care and resource limited sett…
StructDamage:A Large Scale Unified Crack and Surface Defect Dataset for Robust Structural Damage Detection
Misbah Ijaz, Saif Ur Rehman Khan, Abd Ur Rehman +3
Automated detection and classification of structural cracks and surface defects is a critical challenge in civil engineering, infrastructure maintenance, and heritage preservation.…
GlobalWasteData: A Large-Scale, Integrated Dataset for Robust Waste Classification and Environmental Monitoring
Misbah Ijaz, Saif Ur Rehman Khan, Abd Ur Rehman +4
The growing amount of waste is a problem for the environment that requires efficient sorting techniques for various kinds of waste. An automated waste classification system is used…