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20222024
most citedICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2024

A Multimodal Approach for Fluid Overload Prediction: Integrating Lung Ultrasound and Clinical Data

Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +2

Managing fluid balance in dialysis patients is crucial, as improper management can lead to severe complications. In this paper, we propose a multimodal approach that integrates vis…

eess.IV2024

Deep Unfolded Approximate Message Passing for Quantitative Acoustic Microscopy Image Reconstruction

Odysseas Pappas, Jonathan Mamou, Adrian Basarab +2

Quantitative Acoustic Microscopy (QAM) is an imaging technology utilising high frequency ultrasound to produce quantitative two-dimensional (2D) maps of acoustical and mechanical p…

eess.SP2024

RKFNet: A Novel Neural Network Aided Robust Kalman Filter

Pengcheng Hao, Oktay Karakus, Alin Achim

Driven by the filtering challenges in linear systems disturbed by non-Gaussian heavy-tailed noise, the robust Kalman filters (RKFs) leveraging diverse heavy-tailed distributions ha…

eess.IV2024

On the Modelling of Ship Wakes in S-Band SAR Images and an Application to Ship Identification

Kamirul Kamirul, Odysseas Pappas, Igor G. Rizaev +1

We present a novel ship wake simulation system for generating S-band Synthetic Aperture Radar (SAR) images, and demonstrate the use of such imagery for the classification of ships…

eess.IV2023

DUBLINE: A Deep Unfolding Network for B-line Detection in Lung Ultrasound Images

Tianqi Yang, Nantheera Anantrasirichai, Oktay Karakuş +3

In the context of lung ultrasound, the detection of B-lines, which are indicative of interstitial lung disease and pulmonary edema, plays a pivotal role in clinical diagnosis. Curr…

cs.CV20221 cited

ICIP 2022 Challenge on Parasitic Egg Detection and Classification in Microscopic Images: Dataset, Methods and Results

Nantheera Anantrasirichai, Thanarat H. Chalidabhongse, Duangdao Palasuwan +6

Manual examination of faecal smear samples to identify the existence of parasitic eggs is very time-consuming and can only be done by specialists. Therefore, an automated system is…