4 papers
Cross-modal triage network: a multimodal deep learning framework for severity-based triage and visual explainability in chest radiographs
Zinah Ghulam, Richa Mittal, Eranga Ukwatta
Purpose: Increased number of chest radiograph (CXR) scans create a triage bottleneck, queueing urgent examinations behind routine ones. Existing AI tools are predominantly unimodal…
FZ-VLM: A Two Stage Florence-Zephyr Vision Language Model Framework for Pulmonary Nodule Characterization and Clinical Decision Making
Pramit Dutta, Jenita Manokaran, Richa Mittal +2
Lung cancer remains one of the leading causes of cancer-related mortality worldwide, and Computed Tomography (CT) is a primary imaging tool for screening and followup assessment. A…
AdaPrivate-TS: Private Thompson Sampling for Contextual Bandits with Privacy Amplification
Mohammadreza Riyazat, Eranga Ukwatta
We present AdaPrivate-TS, a differentially private contextual bandit algorithm that combines Thompson Sampling with batched zCDP composition. Our key insight is that differential p…
ADP-FL-MedSeg: Adaptive Differential Privacy for Federated Medical Segmentation Across Diverse Modalities
Puja Saha, Eranga Ukwatta
Large volumes of medical data remain underutilized because centralizing distributed data is often infeasible due to strict privacy regulations and institutional constraints. In add…