research
∙
03/23/2023
OCELOT: Overlapped Cell on Tissue Dataset for Histopathology
Cell detection is a fundamental task in computational pathology that can...
share
research
∙
12/09/2022
Benchmarking Self-Supervised Learning on Diverse Pathology Datasets
Computational pathology can lead to saving human lives, but models are a...
research
∙
03/29/2022
Interactive Multi-Class Tiny-Object Detection
Annotating tens or hundreds of tiny objects in a given image is laboriou...
research
∙
07/08/2021
Towards a Trusted Execution Environment via Reconfigurable FPGA
Trusted Execution Environments (TEEs) are used to protect sensitive data...
research
∙
01/02/2021
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation
Gliomas are among the most aggressive and deadly brain tumors. This pape...
research
∙
01/02/2021
Combining unsupervised and supervised learning for predicting the final stroke lesion
Predicting the final ischaemic stroke lesion provides crucial informatio...
research
∙
06/19/2020
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks
Fully Convolutional Networks have been achieving remarkable results in i...
research
∙
12/18/2018
Retinal vessel segmentation based on Fully Convolutional Neural Networks
The retinal vascular condition is a reliable biomarker of several ophtha...
research
∙
09/25/2018
Automatic brain tumor grading from MRI data using convolutional neural networks and quality assessment
Glioblastoma Multiforme is a high grade, very aggressive, brain tumor, w...
research
∙
06/12/2018
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction
Stroke is the second most common cause of death in developed countries, ...
research
∙
06/06/2018
