Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Edussooriya, Chamira"'
Autor:
Udayantha, Dinuka Sandun, Weerasinghe, Kavindu, Wickramasinghe, Nima, Abeyratne, Akila, Wickremasinghe, Kithmin, Wanigasinghe, Jithangi, De Silva, Anjula, Edussooriya, Chamira U. S.
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. The gold-standard for neonatal seizure detection currently relies on
Externí odkaz:
http://arxiv.org/abs/2406.16908
Autor:
Sivaroopan, Nirhoshan, Jayanga, Chamuditha, Ekanayake, Chalani, Watawana, Hasindri, Pradeepkumar, Jathurshan, Anandakumar, Mithunjha, Rodrigo, Ranga, Edussooriya, Chamira U. S., Wadduwage, Dushan N.
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 hospital, each cancer type, and each diagnostic task is prohibitively
Externí odkaz:
http://arxiv.org/abs/2309.07113
Autor:
Somarathne, Pamuditha, Wickremasinghe, Tharindu, Niwarthana, Amashi, Thieshanthan, A., Edussooriya, Chamira U. S., Wadduwage, Dushan N.
Compressive sensing (CS) reconstructs images from sub-Nyquist measurements by solving a sparsity-regularized inverse problem. Traditional CS solvers use iterative optimizers with hand crafted sparsifiers, while early data-driven methods directly lear
Externí odkaz:
http://arxiv.org/abs/2306.00906
Autor:
Anandakumar, Mithunjha, Pradeepkumar, Jathurshan, Kappel, Simon L., Edussooriya, Chamira U. S., De Silva, Anjula C.
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 the acquisition setup. Previous works have focused on developing less
Externí odkaz:
http://arxiv.org/abs/2211.02638
Autor:
Kehelella, Kavinda, Leelarathne, Gayangana, Marasinghe, Dhanuka, Kariyawasam, Nisal, Ariyarathna, Viduneth, Madanayake, Arjuna, Rodrigo, Ranga, Edussooriya, Chamira U. S.
Transformers combined with convolutional encoders have been recently used for hand gesture recognition (HGR) using micro-Doppler signatures. We propose a vision-transformer-based architecture for HGR with multi-antenna continuous-wave Doppler radar r
Externí odkaz:
http://arxiv.org/abs/2209.05032
Autor:
Abeywardena, Kalana, Sumanthiran, Shechem, Baliah, Sanoojan, Bahavan, Nadarasar, Udugampola, Nalith, Pasqual, Ajith, Edussooriya, Chamira, Rodrigo, Ranga
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 representation. While part localization has shown significant success, it
Externí odkaz:
http://arxiv.org/abs/2208.11440
Autor:
Pradeepkumar, Jathurshan, Anandakumar, Mithunjha, Kugathasan, Vinith, Suntharalingham, Dhinesh, Kappel, Simon L., De Silva, Anjula C., Edussooriya, Chamira U. S.
Accurate sleep stage classification is significant for sleep health assessment. In recent years, several machine-learning based sleep staging algorithms have been developed, and in particular, deep-learning based algorithms have achieved performance
Externí odkaz:
http://arxiv.org/abs/2208.06991
Autor:
Arguello, Henry, Bacca, Jorge, Kariyawasam, Hasindu, Vargas, Edwin, Marquez, Miguel, Hettiarachchi, Ramith, Garcia, Hans, Herath, Kithmini, Haputhanthri, Udith, Ahluwalia, Balpreet Singh, So, Peter, Wadduwage, Dushan N., Edussooriya, Chamira U. S.
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 by using computational algorithms. The performance of COI systems hig
Externí odkaz:
http://arxiv.org/abs/2207.00164
Autor:
Haputhanthri, Udith, Herath, Kithmini, Hettiarachchi, Ramith, Kariyawasam, Hasindu, Ahmad, Azeem, Ahluwalia, Balpreet S., Edussooriya, Chamira U. S., Wadduwage, Dushan N.
With applications ranging from metabolomics to histopathology, quantitative phase microscopy (QPM) is a powerful label-free imaging modality. Despite significant advances in fast multiplexed imaging sensors and deep-learning-based inverse solvers, th
Externí odkaz:
http://arxiv.org/abs/2205.11521
Autor:
Herath, Kithmini, Haputhanthri, Udith, Hettiarachchi, Ramith, Kariyawasam, Hasindu, Ahmad, Raja N., Ahmad, Azeem, Ahluwalia, Balpreet S., Edussooriya, Chamira U. S., Wadduwage, Dushan N.
Since the late 16th century, scientists have continuously innovated and developed new microscope types for various applications. Creating a new architecture from the ground up requires substantial scientific expertise and creativity, often spanning y
Externí odkaz:
http://arxiv.org/abs/2203.14944