304 citations · 437 across the 5 of their papers we have counts for
10 papers
Variability Matters : Evaluating inter-rater variability in histopathology for robust cell detection
Cholmin Kang, Chunggi Lee, Heon Song +2
Large annotated datasets have been a key component in the success of deep learning. However, annotating medical images is challenging as it requires expertise and a large budget. I…
Interactive Multi-Class Tiny-Object Detection
Chunggi Lee, Seonwook Park, Heon Song +5
Annotating tens or hundreds of tiny objects in a given image is laborious yet crucial for a multitude of Computer Vision tasks. Such imagery typically contains objects from various…
Multi-stage Deep Layer Aggregation for Brain Tumor Segmentation
Carlos A. Silva, Adriano Pinto, Sérgio Pereira +1
Gliomas are among the most aggressive and deadly brain tumors. This paper details the proposed Deep Neural Network architecture for brain tumor segmentation from Magnetic Resonance…
Combining unsupervised and supervised learning for predicting the final stroke lesion
Adriano Pinto, Sérgio Pereira, Raphael Meier +4
Predicting the final ischaemic stroke lesion provides crucial information regarding the volume of salvageable hypoperfused tissue, which helps physicians in the difficult decision-…
Detecting Infrared Single Photons with Near-Unity System Detection Efficiency
Jin Chang, Johannes W. N. Los, Jaime Oscar Tenorio-Pearl +9
Single photon detectors are indispensable tools in optics, from fundamental measurements to quantum information processing. The ability of superconducting nanowire single photon de…
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks
Sergio Pereira, Adriano Pinto, Joana Amorim +3
Fully Convolutional Networks have been achieving remarkable results in image semantic segmentation, while being efficient. Such efficiency results from the capability of segmenting…