5 papers
Beyond the Thin-Layer Limit: Differentiable Volumetric Training for Visible-Range Diffractive Neural Networks
Dineth Jayakody, Dushan N. Wadduwage
Diffractive deep neural networks (D2NNs) promise miniaturized, power-efficient, light-speed optical front-ends for machine vision, yet the most mature demonstrations remain in the…
Motion-guided sparse correction enables expert-quality point tracking across diverse microscopy regimes
Leonidas Zimianitis, Pasindu Thenahandi, Kai Buckhalter +10
Tracking the dynamics of non-canonical biological systems in microscopy videos remains a persistent challenge. Both classical and learning-based trackers depend on expert-reviewed…
MultiSense-Pneumo: A Multimodal Learning Framework for Pneumonia Screening in Resource-Constrained Settings
Dineth Jayakody, Pasindu Thenahandi, Chameli Dommanige
Pneumonia remains a leading global cause of morbidity and mortality, particularly in low-resource settings where access to imaging, laboratory testing, and specialist care is limit…
SentimentLens: Reconciling Sentiment and Ratings via Dual-Modality in the Hospitality Sector
Dineth Jayakody, Pasindu Thenahandi, Sampath Jayarathna
Online travel platforms generate vast volumes of user-generated hotel reviews, offering rich opportunities to understand traveler experiences at scale. However, transforming unstru…
Beyond Perfect Scores: Proof-by-Contradiction for Trustworthy Machine Learning
Dushan N. Wadduwage, Dineth Jayakody, Leonidas Zimianitis
Machine learning (ML) models show strong promise for new biomedical prediction tasks, but concerns about trustworthiness have hindered their clinical adoption. In particular, it is…