most citedFPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features

31 citations · 33 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2024

Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs

Erik Ostrowski, Muhammad Shafique

When deploying neural networks in real-life situations, the size and computational effort are often the limiting factors. This is especially true in environments where big, expensi…

cs.CV2023★ 1 cited

Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems

Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique

Reliable classification and detection of certain medical conditions, in images, with state-of-the-art semantic segmentation networks, require vast amounts of pixel-wise annotation.…

cs.CV2023

ISLE: A Framework for Image Level Semantic Segmentation Ensemble

Erik Ostrowski, Muhammad Shafique

One key bottleneck of employing state-of-the-art semantic segmentation networks in the real world is the availability of training labels. Conventional semantic segmentation network…

cs.CV2023★ 1 cited

SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters

Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique

Achieving high-quality semantic segmentation predictions using only image-level labels enables a new level of real-world applicability. Although state-of-the-art networks deliver r…

cs.CV2023

ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation using Object Border Fitting for Medical Images

Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique

Weakly Supervised Semantic Segmentation (WSSS) relying only on image-level supervision is a promising approach to deal with the need for Segmentation networks, especially for gener…

eess.IV2023★ 31 cited

FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features

Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski +1

Ultrasound imaging is one of the most prominent technologies to evaluate the growth, progression, and overall health of a fetus during its gestation. However, the interpretation of…