53 citations · 78 across the 28 of their papers we have counts for
29 papers
Architectural Robustness to Label Noise Using Variational Quantum Circuits for Medical Image Classification
Yasoda Lasiru Ariyarathna Epa, Yaseema Rusiru Ariyarathna Epa, Sandaru Liyanaarachchi +5
Label noise is prevalent in medical image datasets, arising from observer disagreement and ambiguous cases and deep networks memorize the mislabeled examples at the cost of general…
Detection of sUAS in Urban Environments using Multi-Antenna Micro-Doppler Radar
Chamindu Liyanage, Chirantha Kurukulasuriya, Chathuni Wijegunawardana +3
Sensing and early detection of small unmanned aerial systems (sUAS) are critically important in modern-day defense. In dense urban and indoor environments, detection becomes extrem…
Agentic Physical-AI for Self-Aware RF Systems
Linuka Ratnayake, Danidu Dabare, Sanuja Rupasinghe +4
Intelligent control of RF transceivers adapting to dynamic operational conditions is essential in the modern and future communication systems. We propose a multi-agent neurosymboli…
SpectraNet: FFT-assisted Deep Learning Classifier for Deepfake Face Detection
Nithira Jayarathne, Naveen Basnayake, Keshawa Jayasundara +6
Detecting deepfake images is crucial in combating misinformation. We present a lightweight, generalizable binary classification model based on EfficientNet-B6, fine-tuned with tran…
Interpretable Multimodal EEG-ECG Framework for Neonatal Seizure Prediction and Patient-Adaptive Transfer Learning
Sithmini Ranasingha, Agasthi Haputhanthri, Hansa Marasinghe +5
Neonatal seizures carry substantial risks of acute brain injury and long-term neurodevelopmental impairment, motivating the need for timely identification of impending seizure acti…
A Simultaneous ECG-PCG Acquisition System with Real-Time Burst-Adaptive Noise Cancellation
Avishka Herath, Malith Jayalath, Kumudu Kaushalya +7
Cardiac auscultation is an essential clinical skill, requiring excellent hearing to distinguish subtle differences in timing and pitch of heart sounds. However, diagnosing solely f…
Radar and Acoustic Sensor Fusion using a Transformer Encoder for Robust Drone Detection and Classification
Gevindu Ganganath, Pasindu Sankalpa, Samal Punsara +4
The use of drones in a wide range of applications is steadily increasing. However, this has also raised critical security concerns such as unauthorized drone intrusions into restri…
Uncertainty Awareness Enables Efficient Labeling for Cancer Subtyping in Digital Pathology
Nirhoshan Sivaroopan, Chamuditha Jayanga Galappaththige, Chalani Ekanayake +4
Machine-learning-assisted cancer subtyping is a promising avenue in digital pathology. Cancer subtyping models, however, require careful training using expert annotations so that t…
An Active Dry-Contact Continuous EEG Monitoring System for Seizure Detection Applications in Clinical Neurophysiology
Nima L. Wickramasinghe, Dinuka Sandun Udayantha, Akila Abeyratne +5
Objective: Young children and infants, especially newborns, are highly susceptible to seizures, which, if undetected and untreated, can lead to severe long-term neurological conseq…
Arbitrary Volumetric Refocusing of Dense and Sparse Light Fields
Tharindu Samarakoon, Kalana Abeywardena, Chamira U. S. Edussooriya
A four-dimensional light field (LF) captures both textural and geometrical information of a scene in contrast to a two-dimensional image that captures only the textural information…
Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection
Dinuka Sandun Udayantha, Kavindu Weerasinghe, Nima Wickramasinghe +5
The neonatal period is the most vulnerable time for the development of seizures. Seizures in the immature brain lead to detrimental consequences, therefore require early diagnosis.…
Detection of Seismic Infrasonic Elephant Rumbles Using Spectrogram-Based Machine Learning
A. M. J. V. Costa, C. S. Pallikkonda, H. H. R. Hiroshan +3
This paper presents an effective method of identifying elephant rumbles in infrasonic seismic signals. The design and implementation of electronic circuitry to amplify, filter, and…
Contrastive Deep Encoding Enables Uncertainty-aware Machine-learning-assisted Histopathology
Nirhoshan Sivaroopan, Chamuditha Jayanga, Chalani Ekanayake +6
Deep neural network models can learn clinically relevant features from millions of histopathology images. However generating high-quality annotations to train such models for each…
MOSAIC: Masked Optimisation with Selective Attention for Image Reconstruction
Pamuditha Somarathne, Tharindu Wickremasinghe, Amashi Niwarthana +3
Compressive sensing (CS) reconstructs images from sub-Nyquist measurements by solving a sparsity-regularized inverse problem. Traditional CS solvers use iterative optimizers with h…
A Knowledge Distillation Framework For Enhancing Ear-EEG Based Sleep Staging With Scalp-EEG Data
Mithunjha Anandakumar, Jathurshan Pradeepkumar, Simon L. Kappel +2
Sleep plays a crucial role in the well-being of human lives. Traditional sleep studies using Polysomnography are associated with discomfort and often lower sleep quality caused by…
Vision Transformer with Convolutional Encoder-Decoder for Hand Gesture Recognition using 24 GHz Doppler Radar
Kavinda Kehelella, Gayangana Leelarathne, Dhanuka Marasinghe +5
Transformers combined with convolutional encoders have been recently used for hand gesture recognition (HGR) using micro-Doppler signatures. We propose a vision-transformer-based a…
Dynamic Template Initialization for Part-Aware Person Re-ID
Kalana Abeywardena, Shechem Sumanthiran, Sanoojan Baliah +5
Many of the existing Person Re-identification (Re-ID) approaches depend on feature maps which are either partitioned to localize parts of a person or reduced to create a global rep…
Deep Optical Coding Design in Computational Imaging
Henry Arguello, Jorge Bacca, Hasindu Kariyawasam +10
Computational optical imaging (COI) systems leverage optical coding elements (CE) in their setups to encode a high-dimensional scene in a single or multiple snapshots and decode it…
Toward Interpretable Sleep Stage Classification Using Cross-Modal Transformers
Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan +4
Accurate sleep stage classification is significant for sleep health assessment. In recent years, several machine-learning based sleep staging algorithms have been developed , and i…
From Hours to Seconds: Towards 100x Faster Quantitative Phase Imaging via Differentiable Microscopy
Udith Haputhanthri, Kithmini Herath, Ramith Hettiarachchi +5
With applications ranging from metabolomics to histopathology, quantitative phase microscopy (QPM) is a powerful label-free imaging modality. Despite significant advances in fast m…
Differentiable Microscopy Designs an All Optical Phase Retrieval Microscope
Kithmini Herath, Hasindu Kariyawasam, Ramith Hettiarachchi +7
Designing new optical systems from the ground up for microscopy imaging tasks such as phase retrieval, requires substantial scientific expertise and creativity. To augment the trad…
Kraken: An Efficient Engine with a Uniform Dataflow for Deep Neural Networks
G Abarajithan, Chamira U. S. Edussooriya
Deep neural networks (DNNs) have been successfully employed in a multitude of applications with remarkable performance. As such performance is achieved at a significant computation…
PointCaps: Raw Point Cloud Processing using Capsule Networks with Euclidean Distance Routing
Dishanika Denipitiyage, Vinoj Jayasundara, Ranga Rodrigo +1
Raw point cloud processing using capsule networks is widely adopted in classification, reconstruction, and segmentation due to its ability to preserve spatial agreement of the inpu…
Towards Accurate Cross-Domain In-Bed Human Pose Estimation
Mohamed Afham, Udith Haputhanthri, Jathurshan Pradeepkumar +3
Human behavioral monitoring during sleep is essential for various medical applications. Majority of the contactless human pose estimation algorithms are based on RGB modality, caus…